Relevant bibliographies by topics / Accuracy diagnosis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Accuracy diagnosis'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Accuracy diagnosis"

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Agarwal, Saumya, and Mamta Gupta. "Diagnostic Accuracy of Cytological Sampling Techniques by Bronchoscopy in the Diagnosis of Lung Cancer." Annals of Pathology and Laboratory Medicine 5, no. 5 (May 29, 2018): A354–361. http://dx.doi.org/10.21276/apalm.1720.

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Mandia, Sayati. "Accuracy of Diagnosis Coding Based On ICD-10." Asian Pacific Journal of Health Sciences 7, no. 1 (March 30, 2020): 43–47. http://dx.doi.org/10.21276/apjhs.2020.7.1.8.

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Koss, Leopold G. "Cytology. Accuracy of diagnosis." Cancer 64, S1 (July 1, 1989): 249–52. http://dx.doi.org/10.1002/1097-0142(19890701)64:1+<249::aid-cncr2820641313>3.0.co;2-2.

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Pankaj Javale, Deepali, and Sharmishta Desai. "Healthcare Critical Diagnosis Accuracy." International journal of electrical and computer engineering systems 14, no. 8 (October 24, 2023): 927–34. http://dx.doi.org/10.32985/ijeces.14.8.10.

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Since at least a decade, Machine Learning has attracted the interest of researchers. Among the topics of discussion is the application of Machine Learning (ML) and Deep Learning (DL) to the healthcare industry. Several implementations are performed on the medical dataset to verify its precision. The four main players, True Positive (TP), True Negative (TN), False Positive (FP), and False Negative (FN), play a crucial role in determining the classifier's performance. Various metrics are provided based on the main players. Selecting the appropriate performance metric is a crucial step. In addition to TP and TN, FN should be given greater weight when a healthcare dataset is evaluated for disease diagnosis or detection. Thus, a suitable performance metric must be considered. In this paper, a novel machine learning metric referred to as Healthcare-Critical-Diagnostic-Accuracy (HCDA) is proposed and compared to the well-known metrics accuracy and ROC_AUC score. The machine learning classifiers Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), and Naive Bayes (NB) are implemented on four distinct datasets. The obtained results indicate that the proposed HCDA metric is more sensitive to FN counts. The results show, that even if there is rise in %FN for dataset 1 to 10.31 % then too accuracy is 83% ad HCDA shows correlated drop to 72.70 %. Similarly, in dataset 2 if %FN rises to 14.80 for LR classifier, accuracy is 78.2 % and HCDA is 63.45 %. Similar kind of results are obtained for dataset 3 and 4 too. More FN counts result in a lower HCDA score, and vice versa. In common exiting metrics such as Accuracy and ROC_AUC score, even as the FN count increases, the score increases, which is misleading. As a result, it can be concluded that the proposed HCDA is a more robust and accurate metric for Critical Healthcare Analysis, as FN conditions for disease diagnosis and detection are taken into account more than TP and TN.
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Hu, Yifeng, and Jessica Haake. "Search Your Way to an Accurate Diagnosis: Predictors of Internet-Based Diagnosis Accuracy." Atlantic Journal of Communication 18, no. 2 (April 23, 2010): 79–88. http://dx.doi.org/10.1080/15456870903554916.

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Rawlinson, William D., Jenna M. Iwasenko, Peter W. Robertson, and Peter C. Taylor. "The Accuracy of Influenza Diagnosis." Infection Control & Hospital Epidemiology 32, no. 1 (January 2011): 98. http://dx.doi.org/10.1086/657672.

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MacKenzie-Wood, Andrew R., Gerry W. Milton, and John W. Launey. "Melanoma: Accuracy of clinical diagnosis." Australasian Journal of Dermatology 39, no. 1 (February 1998): 31–33. http://dx.doi.org/10.1111/j.1440-0960.1998.tb01238.x.

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Kumaran, N., Amir Azmy, Robert Carachi, Peter A. M. Raine, Jeanette H. Macfarlane, and Alan G. Howatson. "Pilomatrixoma—accuracy of clinical diagnosis." Journal of Pediatric Surgery 41, no. 10 (October 2006): 1755–58. http://dx.doi.org/10.1016/j.jpedsurg.2006.05.005.

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Gelfand, David W., David J. Ott, H. Alexander Munitz, and Yu Men Chen. "CandidaEsophagitis: Accuracy of Radiographic Diagnosis." Radiology 156, no. 3 (September 1985): 844. http://dx.doi.org/10.1148/radiology.156.3.844-a.

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Amrikachi, Mojghan, Ibrahim Ramzy, Sheldon Rubenfeld, and Thomas M. Wheeler. "Accuracy of Fine-Needle Aspiration of Thyroid." Archives of Pathology & Laboratory Medicine 125, no. 4 (April 1, 2001): 484–88. http://dx.doi.org/10.5858/2001-125-0484-aofnao.

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Abstract Context.—Fine-needle aspiration has become an accepted and cost-effective procedure for rapid diagnosis of thyroid lesions. The routine use of fine-needle aspiration has reduced the rate of unnecessary surgery for thyroid nodules. Objectives.—To determine the accuracy of fine-needle aspiration biopsy diagnosis and to discuss the possible pitfalls. Design, Setting, and Participants.—Reports of 6226 fine-needle aspiration biopsies of the thyroid performed during a period of 16 years (1982–1998) were reviewed. Computerized reports of the fine-needle aspiration biopsies were sent to the physicians who performed the procedures, and clinical follow-up information regarding the patients was requested. Twenty-four clinicians participated in the study. Histologic diagnoses were available for 354 cases. The cytopathologic diagnoses were correlated with the histologic findings or clinical outcomes. Results.—The cytologic diagnoses were as follows: 210 (3.4%) malignant, 450 (7.2%) suspicious, 3731 (60%) benign, and 1845 (29.5%) unsatisfactory. Most of the cases with negative or unsatisfactory aspirates were followed clinically or by repeat fine-needle aspiration. We identified 11 false-negative and 7 false-positive diagnoses. For aspirates considered sufficient for diagnosis, the sensitivity and specificity levels were 93% and 96%, respectively. Conclusions.—Fine-needle aspiration of the thyroid gland is highly accurate and has a low rate of false-negative and false-positive diagnoses. The major diagnostic problems are caused by diagnosis using a marginally adequate specimen, diagnosis of malignancy based on just 1 or 2 atypical cytologic features, or overlapping cytologic features of follicular neoplasm with those of follicular variant of papillary carcinoma.
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Dissertations / Theses on the topic "Accuracy diagnosis"

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Abbott, J. Haxby, and n/a. "Accuracy in the diagnosis of lumbar segmental mobility disorders." University of Otago. Department of Anatomy & Structural Biology, 2005. http://adt.otago.ac.nz./public/adt-NZDU20070205.094640.

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Background: In the clinical examination of patients with low back pain (LBP), musculoskeletal physiotherapists routinely assess lumbar spinal segmental motion by performing physical examination procedures such as observation of active range of motion and palpation of intervertebral motion. The validity of manual assessment of segmental motion, however, has not been adequately investigated. Methods: In this pragmatic, multi-centre, criterion-related validity study, 138 consecutive patients with LBP were recruited and examined by physiotherapists with postgraduate training in musculoskeletal manual therapy. Clinicians examined each patient�s spine for the presence of segmental motion abnormalities, described as lumbar segmental rigidity (LSR) and lumbar segmental instability (LSI), then referred the patients for flexion-extension (FE) radiographs. The physical examination procedures of interest were: 1) assessment of forward-bending (FB) active range of motion (AROM); 2) FB and backward-bending (BB) passive physiological intervertebral motion testing (PPIVMs) in the sagittal plane; and 3) central postero-anterior passive accessory intervertebral motion testing (PAIVMs). Sagittal displacement kinematics of the lumbar spinal segments were measured from the FE radiographs, and served as the criterion standard against which the clinical assessment results were compared. The kinematic parameters measured were sagittal rotation, sagittal translation, ratio of translation per degree of rotation (TRR), instantaneous axis of rotation (IAR), and centre of reaction (CR). Reference ranges for normal motion were calculated from the analysis of FE radiographs of 30 asymptomatic volunteers. The accuracy and validity of the clinical examination procedures were then calculated, and reported as sensitivity, specificity, and likelihood ratios for a positive test (LR+) and a negative test (LR-). Results: In patients with LBP, sagittal rotation LSR and sagittal translation LSR had a prevalence of approximately 5.7% (p <0.0005) in this cohort. Sagittal rotation LSI was not found in statistically significant numbers. Sagittal translation LSI was found at a prevalence of 3.6% (p <0.05). Abnormal TRR (23.3%), IAR (17.7%), and CR (16.5%) were more prevalent findings (all p <0.0005). Observation of the quantity of AROM, during FB, is not valid for the assessment of either total lumbar segmental sagittal rotation, or detection of individual segments with abnormal segmental motion. PPIVMs and PAIVMs are specific, but not sensitive, for the detection of rotation LSI and translation LSI. A positive test (grade 4 on a scale from 0 to 4) with BB PPIVMs may have some utility for the diagnosis of rotation LSI or translation LSI, with LR+ of 8.4 and 7.1 respectively (and 95% CIs from around 1.7 to 38). Likelihood ratio statistics for FB PPIVMs were not statistically significant. A positive test (grade 2 on a scale from 0 to 2) with PAIVMs may have some utility for the diagnosis of rotation LSI or translation LSI, with LR+ of 2.7 and 2.5 respectively (and 95% CIs from around 1.01 to 7.5). Neither PPIVMs nor PAIVMs were useful for the detection of LSR, or abnormal quality of motion as measured by TRR, CR, and IAR. Conclusions: Abnormal spinal segmental motion is associated with the symptom of LBP, in patients presenting to physiotherapists with a new episode of recurrent or chronic LBP, however prevalence is low due to highly variable lumbar segmental motion among asymptomatic individuals. Manual physical examination has moderate validity, but limited utility on its own, for the detection of translation LSI. Further research should investigate the utility of other clinical examination findings for the detection of lumbar segmental mobility disorders.
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Zannoni, Letizia <1982&gt. "Accuracy of new sonographic markers in the diagnosis of adenomyosis." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amsdottorato.unibo.it/7818/3/ZANNONI%20LETIZIA_TESI%20DOTTORATO.pdf.

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Objective: to evaluate the diagnostic accuracies of well-known sonographic markers of adenomyosis and of two innovative ones, the question mark sign and the transvaginal ultrasound uterine tenderness. Methods: 78 patients scheduled for hysterectomy for uterine benign diseases underwent preoperative transvaginal ultrasonography to evaluate the criteria of sonographic diagnosis of adenomyosis as reported by consensus statement MUSA. Adenomyosis was diagnosed in presence of two or more of the following parameters: asymmetry of the uterine walls, hyperechoic striae, anechoic myometrial cysts, hyperechogenic islands, echogenic subendometrial lines and buds, interruption/irregularities of the junctional zone and translesional vascular flow. In addition the question mark sign and the transvaginal ultrasound uterine tenderness were evaluated, the first being the longitudinal section of the uterus with a morphology similar to a question mark and the other being the dynamic ultrasound evaluation of uterine tenderness by the pressure of the transvaginal probe. Sonographic features were compared with histological examination. Results: the prevalence of adenomyosis in the sample is 33.3%. Sensitivity, specificity, positive and negative predictive values and accuracy of transvaginal ultrasound in the diagnosis of adenomyosis are 83%, 96%, 91%, 89% and 92%. Asymmetry, hyperechoic striae and interruption of the junctional zone were the most accurate markers for the diagnosis of adenomyosis. Myometrial heterogeneity was the most frequently encountered feature (100%), but showed a low specificity (7%). The question mark sign and the transvaginal ultrasound uterine tenderness showed sensitivity, specificity, positive and negative predictive values and accuracy of 41%, 96%, 83%, 77%, and 69% and 69%, 65%, 66%, 81% and 67% respectively. Conclusions: the sonographic markers proposed by consensus statement MUSA were confirmed accurate in the diagnosis of adenomyosis in our sample. The question mark sign and the transvaginal ultrasound uterine tenderness showed good diagnostic capacities and may be a useful complement in the sonographic diagnosis of adenomyosis.
Obiettivo: valutare le capacità diagnostiche dei marker ecografici già noti di adenomiosi e di due innovativi, ovvero il question mark sign e la transvaginal ultrasound uterine tenderness. Metodi: 78 pazienti candidate ad isterectomia per patologia uterina benigna sono state sottoposte ad ecografia transvaginale preoperatoria per la valutazione dei criteri di diagnosi ecografica di adenomiosi riportati dal consensus statement MUSA. L’adenomiosi è stata diagnosticata in presenza di due o più fra i seguenti parametri: asimmetria delle pareti uterine, strie iperecogene, lacune anecogene, isole iperecogene, irregolarità sub-endometriali, interruzione o irregolarità della zona giunzionale, vascolarizzazione trans-lesionale. In aggiunta, sono stati valutati due marker ecografici innovativi: il question mark sign e la transvaginal ultrasound uterine tenderness, ovvero la sezione longitudinale dell’utero con morfologia a punto interrogativo e la valutazione ecografica dinamica della dolorabilità dell’utero alla pressione mirata della sonda vaginale. Le caratteristiche ecografiche sono state confrontate con l’esame istologico. Risultati: La prevalenza di adenomiosi nel campione è risultata pari a 33.3%. Sensibilità, specificità, valore predittivo positivo e negativo e accuratezza dell’ecografia transvaginale nella diagnosi di adenomiosi sono risultate rispettivamente 83%, 96%, 91%, 89% e 92%. Asimmetria, strie iperecogene ed interruzione della zona giunzionale sono risultati i marker più accurati per la diagnosi di adenomiosi. La caratteristica più frequentemente riscontrata (100%) è stata l’eterogeneità miometriale, ma ha mostrato scarsa specificità (7%). Il question mark sign e la transvaginal ultrasound uterine tenderness hanno presentato sensibilità, specificità, valore predittivo positivo e negativo e accuratezza pari rispettivamente a 41%, 96%, 83%, 77%, e 69% e 69%, 65%, 66%, 81%, e 67%. Conclusioni: I marker ecografici proposti dal consensus statement MUSA si confermano accurati nella diagnosi di adenomiosi. Il question mark sign e e la transvaginal ultrasound uterine tenderness hanno dimostrato buone capacità diagnostiche e potrebbero rivelarsi un utile complemento nella diagnosi ecografica di adenomiosi.
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Leonardi, Mathew. "The utility of advanced pelvic ultrasound techniques in the diagnosis and management of patients with endometriosis." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28014.

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Endometriosis is a disease that affects approximately 10% of individuals assigned female at birth. Endometriosis is a chronic oestrogen-dependent and -promoted inflammatory response secondary to ectopic yet functional endometrial-like cell growth outside the uterine cavity. It is generally thought to be a pain-causing disease and has a strong link between endometriosis and infertility. Imaging has emerged as the most optimistic non-invasive and non-surgical tool to diagnose endometriosis. In many centres in Australia and around the world, current evidence-based ultrasound techniques for endometriosis are not utilised or under-utilised. People are therefore reliant on healthcare providers either using clinical and physical examination information to be given a diagnosis, with high false positive or false negative diagnoses, or diagnostic laparoscopy, which is an invasive procedure with risks of surgical complications and poor surgical outcomes. The goals of this thesis were to better understand the current limitations and gaps that exist for ultrasound as a diagnostic and management tool, increase awareness of evidence-based techniques internationally, and initiate solutions to overcome deficiencies. Altogether, the aim was to contribute original knowledge to improve the process of diagnosis and surgical management of patients with endometriosis. The research performed and presented as part of this thesis has evolved our understanding of how ultrasound is a tool to diagnose and optimise the management of endometriosis. It has also evoked new research questions, challenged our way of thinking of old ideas, and established interdisciplinary international research teams. The novel ultrasound techniques studied in this thesis may have significant benefit for the endometriosis community who are left without a diagnosis or are destined for a delayed diagnosis.
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Carter, David E. "Diagnostic and classification accuracy for mildly mentally handicapped children." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/31112.

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The purpose of this study was to examine the diagnostic and classification accuracy of placement decisions for Mildly/Educably Mentally Handicapped (M/EMH) children in British Columbia. Evidence from the United States suggests that classification decisions are often made on the basis of idiosyncratic student behaviours and the subjective opinions of educators, not on the basis of empirical evidence. Although Canadian special education practice is often based on that of the U.S., no major study of the accuracy of diagnosis and classification has been undertaken in this country. Based on a review of the literature, internationally accepted criteria for the diagnosis and classification of M/EMH students were formulated. In addition, variables that might influence the use of these criteria were identified. Elementary age students from two metropolitan Vancouver school districts who had been suspected of being M/EMH during a two-year period served as subjects (n=106). Of these 57 were classififed as M/EMH and 49 were classified as regular education. An evaluation of IQ, adaptive behaviour, reading and arithmetic achievement, maladaption, and visual and hearing acuity was performed for each subject. Preliminary data analyses permitted the formation of an achievement composite score and the pooling of subjects from the two districts. Using an internationally accepted two-factor diagnostic model, analyses were performed to investigate the classification accuracy for the sample. Cut-off criteria used with the two-factor model were adjusted to those of both the American Association for Mental Deficiency and the draft B.C. Special Education Guidelines. Where subjects could not be confirmed by the application of these models, sources of classification error were identified. Next, a series of discriminant function analyses, each representing a historical step in the development of diagnostic and classification models, were performed and the classification accuracy of each examined. Finally, a full model of all measured variables was examined using both a forced discriminant function procedure and a step-wise technique. The findings suggested that a combination of the adaptive behaviour, IQ, and achievement variables provided the highest classification accuracy. This result is consistent with much of the research from the U.S. IQ scores were found to consistently dominate classification decisions. In addition, academic achievement proved to be a valid predictor, either in combination with social adaptation or maladaption. However, maladaptive behaviour, whenever entered with social adaptation, overwhelmed the latter as a descriminator of group membership. The highest classification rate for the total sample was 92.0% for the combination of adaptive behaviour, IQ, and academic achievement. Although visual and hearing acuity were not found to be related to group membership, it was discovered that testing for these variables was not occurring in the districts studied in accordance with accepted best practice. A disproportionate number of M/EMH students proved to be untestable using school-based audiological and visual sweep testing techniques. In cases of untestability, the assumption that the child can see and hear within normal tolerances appears to be made, and efforts to use alternative testing procedures are not pursued. In addition, visual and hearing testing appears to occur after the administration of standardized cognitive tests, and not before, as best practices would dictate. The principal contributions of this research are (1) that it is the first major study of diagnostic and classification accuracy with a Canadian M/EMH population, (2) that it advises the inclusion of academic achievement as a domain of adaptive behaviour based on empirical evidence of the importance of that variable in diagnosing M/EMH, and (3) it examines the role of auditory and visual acuity testing in M/EMH diagnosis and classification.
Education, Faculty of
Educational and Counselling Psychology, and Special Education (ECPS), Department of
Graduate
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Rachaneni, Suneetha. "Accuracy of bladder ultrasound in the diagnosis of detrusor overactivity (BUS study)." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6723/.

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Objective To estimate the accuracy of bladder wall thickness (BWT), measurement by transvaginal bladder ultrasound (BUS) in diagnosing detrusor overactivity (DO) Methods A multicenter study in 687 women with overactive bladder or urgency predominant mixed incontinence in 22 centres was undertaken. Index test was BWT and urodynamics was the reference standard. Reproducibility of BWT and the acceptability of BWT and urodynamics were also studied. Results BWT showed poor sensitivity, specificity and likelihood ratios at all pre-specified cut-offs. The ROC curve showed no evidence of discrimination at any threshold between those with and without DO (p=0.25): the AUC was 0.53, 95%CI: (0.48, 0.57). In the prospective interobserver variation study of scans performed by two independent observers, the SD 0.95mm with an analytical variability of 0.76mm. There was a trend towards greater acceptability of BWT scan compared to urodynamics (p<0.001), (81% versus 56%). Conclusion Bladder wall thickness measurement did not discriminate women with DO versus those without DO and hence is not an accurate test for diagnosing DO. Transvaginal BWT does not have sufficient reliability and reproducibility. Women experienced higher levels of embarrassment and a lower rate of acceptability with urodynamics compared to the BWT scan procedure.
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Rawashdeh, Mohammad. "Radiologist and image characteristics that affect the accuracy of breast cancer diagnosis." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/12790.

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Aims Variations in the performance of mammography readers are well reported, but key lesion and reader features explaining such variations are not fully explored. This PhD study aims to: 1) measure the diagnostic accuracy of breast radiologists, 2) identify parameters linked to higher levels of performance, and 3) establish the key mammogram morphological features that impact upon the detection of breast cancer. Methods All studies received institutional ethics approval. There were two studies, Study A: a test set of mammograms was developed compromising 60 cases, 20 containing cancer, and these were shown to 129 readers. Each reader was asked to locate any malignancies and provide a confidence rating using a scale of 1-5. Details were obtained from each reader regarding experience and training and these were correlated with jackknifing free response operating characteristic (JAFROC) figure of merit. Cancers were ranked according to the “detectability rating”, that is, the number of readers who accurately detected and located the lesion divided by the total number of readers, and this was correlated with various mathematical lesion descriptors. Study B: to validate the methods used in the previous studies, another test set compromising 40 mammographic images, each containing a single lesion, were presented to nine expert breast radiologists using a high specification interactive digital drawing tablet with stylus. Each reader was asked to manually delineate the breast masses using the tablet and stylus and then classify the lesion according to the American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) lexicon. Delineated shapes were quantified using v Matlab software. Intraclass Correlation Coefficient (ICC) was used to assess interobserver agreement for delineation, and nonparametric ICC (Kendall's W) for classification parameters. Results Higher reader performance was positively correlated with number of years reading mammograms (P≤0.01), number of mammogram readings per year (P≤0.001), and hours reading mammogram per week (P≤0.04). For readers with annual volumes of less than 1000 mammograms per year, JAFROC values was negatively related to years’ post-qualification as a radiologist (P≤0.004) and number of years reading mammograms (P≤0.002). For readers reading more than 5000 mammograms per year, JAFROC values was positively linked to years qualified as a radiologist (P≤0.01), number of mammograms readings per year (P≤0.002) and number of hours readings per week (P≤0.003). Number of mammograms readings per year was positively related with JAFROC scores for readers with an annual volume between 1000 and 5000 (P≤0.03). For image features and lesion descriptors there were correlations between “detectability rating” and lesion size (P≤0.005), breast density (P≤0.007), perimeter (P≤0.0004), eccentricity (P≤0.02), and solidity (P< 0.0001). Poor inter-observer agreement was found for BI-RADS shape (W= 0.50) and margin (W= 0.40) assessments. However, agreement for computer-based measures was excellent for compactness (ICC = 0.93) and good for lesion elongation (ICC = 0.82). Conclusions Radiologist experience and lesion morphology contributes significantly to cancer detection efficacy. Poor levels of agreement were found when readers classified lesions using BI-RADS, however, using computer metrics, good inter-observer agreement was found for lesion delineations. These studies have provided new information regarding factors that impact upon radiologists’ performance. The data provided should contribute to an improvement to the service women receive and help reduce radiology reporting variability in the future.
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Brazzelli, Miriam. "Studies to inform the methods for Cochrane systematic reviews of diagnostic accuracy in stroke medicine." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5566.

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Background A variety of tests are used in clinical practice to help the diagnostic process and so improve patient care. Many aspects of stroke management depend on accurate and rapid diagnosis. Brain imaging, including CT or MRI, is necessary to identify the location and extent of the cerebral lesion, and to determine the pathological type of stroke and its likely cause. Current treatments - such as thrombolysis - for ischaemic stroke have increased the need for clear evidence on which imaging test is optimal for diagnosis in the acute phase of stroke. Systematic reviews of diagnostic test accuracy may provide evidence on the best use of a diagnostic test in clinical practice and help clinicians to decide among alternative tests. The Cochrane Collaboration has recently included systematic reviews of diagnostic test accuracy within its remit. However, to prepare Cochrane systematic reviews of diagnostic test accuracy is challenging because the methods for such reviews are still in a state of flux. Materials and methods The research work undertaken for this thesis addresses four relevant methodological aspects of such reviews and, I hope, will contribute to informing the development of the methods for Cochrane systematic reviews of test accuracy: i) I assessed the quality of reporting of imaging studies in stroke medicine published between 1995 and 2008 with the current STAndards for the Reporting of Diagnostic accuracy studies (STARD) criteria; ii) I assessed the magnitude of publication bias in diagnostic accuracy studies in stroke medicine, by reviewing all diagnostic abstracts presented at two international stroke meetings between 1995 and 2004 and so evaluating the characteristics and findings of the identified abstracts; iii) I have evaluated the methods for preparing reviews of test accuracy by undertaking a pilot review according to the draft recommendations of the Cochrane Diagnostic Test Accuracy Working Group; iv) I conducted a survey to assess a) how well clinicians and health professionals interpret findings of Cochrane systematic reviews of diagnostic accuracy presented in summary documents; and b) what is the best format for summarising findings of Cochrane reviews of diagnostic accuracy. Conclusions In conclusion, methodological issues concerning the validity and reliability of findings of studies included in systematic reviews of diagnostic accuracy remain of fundamental importance. More empirical evidence is needed to address potential biases such as reporting bias and publication bias. To allow dissemination of diagnostic reviews findings in clinical practice better ways of communicating main characteristics and key results of systematic reviews of diagnostic accuracy should be considered. In the current literature, the quality of reporting and methodological quality of imaging studies for the diagnosis of stroke is less than satisfactory and leaves room for improvement. This is worrying, especially if current health imaging policies are in fact based on poor quality evidence and hence scarce health resources may not being deployed as effectively as they could be.
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Alonzo, Todd Allen. "Assessing accuracy of a continuous medical diagnostic or screening test in the presence of verification bias /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/9600.

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Lloyd, Aaron, Vinay Pasupuleti, Priyaleela Thota, Chaitanya Pant, David D. K. Rolston, Adrian V. Hernández, Vicente A. Benítes-Zapata, Thomas G. Fraser, Curtis J. Donskey, and Abhishek Deshpande. "Accuracy of loop-mediated isothermal amplification for the diagnosis of Clostridium difficile infection: a systematic review." Elsevier B.V, 2015. http://hdl.handle.net/10757/345286.

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Loop-mediated isothermal DNA amplification (LAMP) are currently used as standalone diagnostic test for C. difficile infection (CDI). We assessed the diagnostic accuracy of LAMP for the diagnosis of CDI. We searched 5 databases to identify studies that compared LAMP with culture cytotoxicity neutralization assay or anaerobic toxigenic culture (TC) of C. difficile. We used the random-effects model to calculate pooled sensitivities, specificities, diagnostic odds ratios and their 95% confidence intervals (CIs). The search of the databases yielded 16 studies (6,979 samples) that met inclusion criteria. When TC was used as the gold standard (6,572 samples), bivariate analysis yielded a mean sensitivity of 0.95 (95%CI, 0.93-0.97; I2 = 67.4) and a mean specificity of 0.99 (95%CI, 0.96-1.00; I2 = 97.0). LAMP is a useful diagnostic tool with high sensitivity and specificity for detecting CDI. The results should however be interpreted only in the presence of clinical suspicion and symptoms of CDI.
Revisión por pares
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Staal, Rozemarijn Nathalie. "Diagnostic Accuracy in Dual Diagnosis: The Development of the Screen for Symptoms of Psychopathology in Individuals with Intellectual Disability (SSP-ID)." Wright State University Professional Psychology Program / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wsupsych1347493083.

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Books on the topic "Accuracy diagnosis"

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Advanced Bayesian methods for medical test accuracy. Boca Raton: Taylor & Francis, 2012.

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United States. Food and Drug Administration, ed. New devices aim at improving pap test accuracy. [Rockville, MD: Dept. of Health and Human Services, Public Health Service, Food and Drug Administration, 1997.

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Katzman, Robert. Accuracy of diagnosis and consequences of misdiagnosis of disorders causing dementia. [Washington, D.C: Office of Technology Assessment, 1986.

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Leary, N. P. The cycle completed?: An audit of diagnosis and SMR1 coding accuracy. (Edinburgh): Scottish Office, 1993.

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Office, General Accounting. Cholesterol measurement: Test accuracy and factors that influence cholesterol levels : report to the Chairman, Subcommittee on Investigations and Oversight, Committee on Science, Space, and Technology, House of Representatives. Washington, D.C: The Office, 1994.

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Medicare Advantage: CMS should improve the accuracy of risk score adjustments for diagnostic coding practices : report to congressional requesters. Washington, D.C.]: U.S. Govt. Accountability Office, 2012.

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Medicare Advantage: Changes improved accuracy of risk adjustment for certain beneficiaries : report to congressional requesters. Washington, D.C.]: U.S. Govt. Accountability Office, 2011.

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J, Shprintzen Robert, Paul Natalie W, and March of Dimes Birth Defects Foundation., eds. Diagnostic accuracy: Effect on treatment planning : proceedings of the Seventh Annual Symposium of the Society of Craniofacial Genetics, held in Denver, Colorado, June 17, 1984. New York: A.R. Liss, 1985.

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Larner, A. J. Diagnostic Test Accuracy Studies in Dementia. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16697-1.

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Larner, A. J. Diagnostic Test Accuracy Studies in Dementia. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17562-7.

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Book chapters on the topic "Accuracy diagnosis"

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Niola, Massimo, Pierpaolo Di Lorenzo, and Claudia Casella. "Doubt: Recognition or Diagnostic Accuracy?" In Prenatal Diagnosis of Fetal Osteopathologies, 861–65. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-39347-1_53.

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Perry, T. B., A. Lippman, M. J. J. Vekemans, L. Carrier, P. J. R. Fournier, and E. F. Hamilton. "Chorionic Villi Sampling: The McGill Randomized Clinical Trial of Safety and Accuracy." In First Trimester Fetal Diagnosis, 334–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70707-0_51.

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Biggeri, A., and M. Bini. "A Case—Study on Accuracy of Cytological Diagnosis." In Statistical Modelling, 27–34. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-0789-4_4.

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Pergament, E., Y. Verlinsky, N. A. Ginsberg, A. Cadkin, and T. Brandt. "Assessment of the Safety and Accuracy of Chorionic Villi Sampling in First Trimester Fetal Diagnosis." In First Trimester Fetal Diagnosis, 314–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70707-0_49.

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Fernandes, Joana Filipa Teixeira, Diamantino Rui Freitas, and João Paulo Teixeira. "Accuracy Optimization in Speech Pathology Diagnosis with Data Preprocessing Techniques." In Communications in Computer and Information Science, 287–99. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53025-8_20.

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AbstractUsing acoustic analysis to classify and identify speech disorders non-invasively can reduce waiting times for patients and specialists while also increasing the accuracy of diagnoses. In order to identify models to use in a vocal disease diagnosis system, we want to know which models have higher success rates in distinguishing between healthy and pathological sounds. For this purpose, 708 diseased people spread throughout 19 pathologies, and 194 control people were used. There are nine sound files per subject, three vowels in three tones, for each subject. From each sound file, 13 parameters were extracted. For the classification of healthy/pathological individuals, a variety of classifiers based on Machine Learning models were used, including decision trees, discriminant analyses, logistic regression classifiers, naive Bayes classifiers, support vector machines, classifiers of closely related variables, ensemble classifiers and artificial neural network classifiers. For each patient, 118 parameters were used initially. The first analysis aimed to find the best classifier, thus obtaining an accuracy of 81.3% for the Ensemble Sub-space Discriminant classifier. The second and third analyses aimed to improve ground accuracy using preprocessing methodologies. Therefore, in the second analysis, the PCA technique was used, with an accuracy of 80.2%. The third analysis combined several outlier treatment models with several data normalization models and, in general, accuracy improved, obtaining the best accuracy (82.9%) with the combination of the Greebs model for outliers treatment and the range model for the normalization of data procedure.
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Mogensen, Mette, and Gregor B. E. Jemec. "Accuracy in the Diagnosis of Non-Melanoma Skin Cancer." In Non-Surgical Treatment of Keratinocyte Skin Cancer, 51–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-79341-0_6.

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Sobecki, Piotr, Rafał Jóźwiak, and Ihor Mykhalevych. "Performance of Deep CNN and Radiologists in Prostate Cancer Classification: A Comparative Pilot Study." In Digital Interaction and Machine Intelligence, 85–92. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_9.

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AbstractIn recent years multiple deep-learning solutions have emerged that aim to assist radiologists in prostate cancer (PCa) diagnosis. Most of the studies however do not compare the diagnostic accuracy of the developed models to that of radiology specialists but simply report the model performance on the reference datasets. This makes it hard to infer the potential benefits and applicability of proposed methods in diagnostic workflows. In this paper, we investigate the effects of using pre-trained models in the differentiation of clinically significant PCa (csPCa) on mpMRI and report the results of conducted multi-reader multi-case pilot study involving human experts. The study aims to compare the performance of deep learning models with six radiologists varying in diagnostic experience. A subset of the ProstateX Challenge dataset counting 32 prostate lesions was used to evaluate the diagnostic accuracy of models and human raters using ROC analysis. Deep neural networks were found to achieve comparable performance to experienced readers in the diagnosis of csPCa. Results confirm the potential of deep neural networks in enhancing the cognitive abilities of radiologists in PCa assessment.
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Feng, Fu, Dong Xiu Zhen, Liu Rui Gang, Shi Xue Tao, You Fu Sheng, and Ji Zhen Yu. "A New Method to Improve the Accuracy in EIS Diagnosis." In IFMBE Proceedings, 152–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03879-2_44.

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Kazakov, Yuri, Ivan Stebakov, Alexander Fetisov, Alexey Kornaev, and Roman Polyakov. "Methods for Improving the Fault Diagnosis Accuracy of Rotating Machines." In Intelligent Systems Design and Applications, 110–19. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35510-3_12.

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Graham Kennedy, Ashley. "Testing." In Diagnosis, 24–45. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780190060411.003.0003.

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When evaluating a diagnostic test, the following three components must be considered: accuracy, clinical effectiveness, and extraclinical value. Doing this requires not only scientific inquiry but also philosophical analysis. Accuracy is best determined via a clinical trial that carefully controls for confounding factors. The clinical effectiveness of a diagnostic test, on the other hand, must be determined by evaluating the test in addition to any subsequent treatment and/or prevention measures. Finally, when evaluating a diagnostic test, one must consider more than just a patient’s measurable clinical outcome. At least in some cases, the epistemic benefits of an accurate diagnostic test can make it valuable to perform even when it does not directly influence the patient’s treatment or prognostic outcomes.
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Conference papers on the topic "Accuracy diagnosis"

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Dantas, Pedro da Cunha, Lucas Pablo Almendro, Ana Caroline Fonseca Silva, and André Douglas Marinho da Silva. "Magnetic resonance and its diagnostic accuracy of glioblastoma: narrative review." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.294.

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Introduction: Glioblastoma (GBM) is the most common and lethal Central Nervous System (CNS) malignant cancer, and the exclusion of differential diagnoses - eg primary central nervous system lymphoma (PCNSL) - often occurs via various Magnetic Resonance Imaging (MRI) methodologies. Objective: To describe which best image sequences are critical for greater accuracy in the diagnosis of GBM and for their distinction from other CNS tumors. Methods: This is a literature narrative review, initiated by research in Pubmed database, using associated Key words: “Glioblastoma” and “Magnetic Resonance”; and filters: systematic reviews + last 5 years publications. Productions that didn’t meet the objective were discarded. Results: MRI has accuracy for diagnosing GBM using the combination T2 + FLAIR + T1 with pre and post-gadolinic contrast. Diffusion and perfusion-weighted MRI association show an improvement in specificity. Computed tomography is used when MRI is unviable, identifying calcifications or hemorrhages and determining the lesion location and surgical potential. Also, spectroscopic MRI, diffusion tensor imaging and PET 18F-FDG, and 11C-MET were reported as important additional diagnostic criteria. Diffusion MRI (DWI) is a non-invasive, convenient, economical, and quick procedure when compared to GBM biopsy. Therefore, adding reliable evidence for moderate differentiation between GBM and PCNSL through DWI. Conclusion: Reliable methods are needed for GBM accurate diagnosis and its differential diagnoses, using at least T2 + FLAIR + T1, and physiological exams to enhance specificity.
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Jiang, Hao, Xinyu Ren, and Xiaojian Fang. "Aeroengine Multi-Fault Diagnosis Based on Hierarchical Multi-mode Filtering." In GPPS Xi'an21. GPPS, 2022. http://dx.doi.org/10.33737/gpps21-tc-136.

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Carry out model-based online fault diagnosis for aero-engine sensors, actuators and components. Traditional methods use a set of filters to estimate the current state of the engine, and then process the estimated residuals of each filter to obtain the diagnosis result. For single engine faults, this method has a good diagnostic effect, but when double engine faults are considered, the amount of calculation will greatly increase, and the accuracy and real-time performance of fault diagnosis cannot meet the requirements. In this regard, this paper proposes a fault diagnosis algorithm based on hierarchical multi-mode filtering, which combines the advantages of hybrid Kalman filtering and multi-mode adaptive filtering algorithms, and uses a hierarchical diagnosis architecture for fault diagnosis. First, establish a hybrid Kalman filter bank of sensors, actuators and components, and then layer them. The first layer diagnoses the normal state of the engine and single fault conditions, and the second layer diagnoses the double fault conditions on the basis of the first layer fault diagnosis, and finally outputs the diagnosis results comprehensively. This method can meet the real-time and accuracy requirements for single and double fault diagnosis of the engine.
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Yu, Rui, Xianling Li, Mo Tao, and Zhiwu Ke. "Fault Diagnosis of Feedwater Pump in Nuclear Power Plants Using Parameter-Optimized Support Vector Machine." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60334.

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The condition monitoring of the feedwater pump in secondary circuit is critical to the safe operation of the nuclear power plant. This article presents a fault diagnosis method of feedwater pump by using parameter-optimized support vector machine (SVM). While the fault features of feedwater pump are reflected from the power spectrum of the vibration signals, we trained and diagnosed the fault feature table with support vector machine. The optimal penalty factor C and kernel parameter γ of support vector machine are selected by grid search and k-fold cross validation. Then the faults are diagnosed by the SVM model under the optimal parameters. Diagnostic results show that the parameter-optimized SVM method achieves higher diagnostic accuracy than the PNN method, exhibiting superior performance to effectively diagnose the faults of feedwater pump.
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Sun, Wei, Jianfeng Tao, Heng Liu, Hao Sun, and Chengliang Liu. "Fault Diagnosis on an Independent Metering Valve-Controlled System Using a Neural Net Model." In ASME/BATH 2023 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/fpmc2023-110440.

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Abstract The Independent Metering Valve-Controlled (IMVC) hydraulic cylinder system utilizes a twin spool structure to provide independent control of the load. This system overcomes the limitations of the coupling mechanical structure in traditional valve-controlled cylinder system with a single spool, while providing superior accuracy, flexibility, and energy efficiency. However, fault information representation is similar, and fault component identification is difficult for IMVC hydraulic cylinder system. This paper proposes a fault diagnosis method for IMVC hydraulic cylinder system which employs a deep neural network model utilizing 1DLCNN-ResNet to identify specific fault components via multi-sensor information fusion. The model captures global information using 1DLCNN and gains deeper insight with ResNet, enabling accurate diagnosis of detailed fault problems in specific components, such as pilot valves, main valves, displacement sensors, and hydraulic cylinder. A combination of simulation and experimentation was employed to discuss 16 detailed fault problems under different feature spaces. The results show that, detailed fault problems in specific component can be accurately diagnosed, particularly in the 9-dimensional feature space. The overall diagnostic accuracy of the system can reach 96.71%, and the detailed fault of one component can be effectively diagnosed which leads to a diagnostic coverage of 99%.
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Bi, Sarah, Laura Martinez, Justin Bequette, Andrew Peitzsch, and William D'Angelo. "Verification of accuracy of an algorithmic image-based dental pulp vitality test." In Computer-Aided Diagnosis, edited by Horst K. Hahn and Maciej A. Mazurowski. SPIE, 2020. http://dx.doi.org/10.1117/12.2549744.

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Mitsuke, Takuma, Hiromitsu Shimakawa, and Humiko Harada. "Respiratory Disease Diagnosis through Comprehensive Analysis of Spectrograms of Lung Sounds." In 10th International Conference on Human Interaction and Emerging Technologies (IHIET 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004064.

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The study proposes a digital stethoscope to assist physicians who are not respiratory specialists to diagnose specific diseases from lung sounds in local areas which lacks specialists and advanced medical equipment. The digital stethoscope presents a spectrogram of the auscultatory sound that illustrates changes in its feature values to visually present the area where the abnormal sound occurs. It not only assists non-specialist physicians in diagnosis but also provides easier explanations for patients. Accurate auscultation requires specialized knowledge and experience. Non-specialist physicians have difficulty distinguishing the characteristics of abnormal sounds among lung sounds which include a wide variety of sounds. Even if they find an abnormal sound suspected to be a disease, physicians will provide patients with only oral diagnosis explanations which would prevent patients from understanding their conditions in depth. The proposed method converts lung sound data collected by a digital stethoscope into a visual spectrogram showing the frequency features. The method uses the short-time Fourier transform as a method to extract the frequency features of lung sounds for each short segment in the whole time series of the lung sound. The converted spectrogram is used to detect disease-specific abnormal sounds comprehensively. The degree of abnormal sounds that appears in the inspiratory and expiratory phases varies with disease progression. The proposed method identifies abnormal sounds in the inspiratory and expiratory phases. Based on the inspiratory and expiratory phases recorded in the diagnostic by specialists, the method derives whether the abnormal sound occurs in each phase. It enables the method to detect specific respiratory diseases along with the degree of their progression. Furthermore, it also allows the method to visually present the location of detected abnormal sounds to patients. This paper uses a short-time Fourier transform as a method for extracting frequency features of lung sounds in a certain range. It also shows that feature extraction as a spectrogram that emphasizes the low frequency band, which is the human audible range, is effective in assisting the non-specialist physician in diagnosis. This paper prepares experimental data from real diagnoses so that data noise and disease features can be taken into account. The diagnostic accuracy is evaluated with a method of segmenting spectrogram images to extract frequency features at specific times. The method constructs a model for detecting fine crackles using the machine learning algorithm Decision Tree. The experimental results have shown that the accuracy of detecting fine crackles is 0.89. The high accuracy obtained from this model allows us to confirm the effectiveness of the proposed method for supporting for non-specialist physicians to distinguish abnormal sounds. The successful detection of fine crackles in the expiratory or inspiratory phase suggests that the progression degree of the disease could be estimated with the proposed digital stethoscope. The digital stethoscope will make it possible to accurately diagnose respiratory diseases along with a comprehensive explanation of diagnosis results to patients in areas with poor medical facilities. It also provides non-specialists with dependable diagnostic aid.
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Kavuri, Amar, Fong Chi Ho, Mobina Ghojogh-Nejad, Saman Sotoudeh-Paima, Ehsan Samei, William P. Segars, and Ehsan Abadi. "Quantitative accuracy of lung function measurement using parametric response mapping: a virtual imaging study." In Computer-Aided Diagnosis, edited by Susan M. Astley and Weijie Chen. SPIE, 2024. http://dx.doi.org/10.1117/12.3006833.

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Santos, Roberto, and Rita Fernandes. "THE ACCURACY OF TRANSCRANIAL SONOGRAPHY ON ALZHEIMER’S DISEASE DIAGNOSIS." In XIII Meeting of Researchers on Alzheimer's Disease and Related Disorders. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1980-5764.rpda044.

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Background: The diagnosis of Alzheimer’s disease (AD) is clinical, combining neurological examination, neuropsychological tests and neuroimaging. One of the anatomical features of AD is medial temporal lobe (MTL) atrophy graduated by magnetic resonance imaging (MRI) with accuracy to discriminate between healthy controls, mild neurocognitive disorder (MCI) or dementia, but it has its limitations. Transcranial sonography (TCS) demonstrated good accuracy to display changes in echogenicity or size of intracranial structures. Objective: The objective of this study is to evaluate TCS diagnostic accuracy in AD. Methods: Prospective cross-sectional case-control study. Patients in the outpatient unit of a University Hospital with >2 y AD diagnosis and controls. TCS performed with a 2-4MHz sector probe to study lateral temporal lobe (A), MTL height (B) and width (C), ambiens cistern width (D) and choroidal cistern height (E). Results: TCCS exams were performed. 2 individuals had no bone window (1 control, 1 AD). 15 healthy controls and 4 DA patients showed significantly different B/E measurements (3.17+0,47 cm2 vs 2.23+0.22 cm2; p=0,0001). Conclusions: Our preliminary results indicate that our measurements are in agreement with those found in the literature. The present results indicate the reproducibility of the technique in our Hospital and encourages us to expand the number of participants.
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Pomeranz, Irith. "Improving the accuracy of defect diagnosis by considering reduced diagnostic information." In 2015 IEEE 33rd VLSI Test Symposium (VTS). IEEE, 2015. http://dx.doi.org/10.1109/vts.2015.7116270.

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Maryada, Sai Kiran R., William L. Booker, Gopichandh Danala, Catherine A. Ha, Sanjana Mudduluru, Dean F. Hougen, and Bin Zheng. "Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images." In Computer-Aided Diagnosis, edited by Khan M. Iftekharuddin, Karen Drukker, Maciej A. Mazurowski, Hongbing Lu, Chisako Muramatsu, and Ravi K. Samala. SPIE, 2022. http://dx.doi.org/10.1117/12.2611565.

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Reports on the topic "Accuracy diagnosis"

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Miller, Kaleigh. US Guided Management of Undifferentiated Dyspneic Patient in the ED. University of Tennessee Health Science Center, March 2020. http://dx.doi.org/10.21007/com.lsp.2020.0001.

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Intro: Undifferentiated dyspnea can be a complicated presentation muddled by patient comorbidities and similar symptomology shared among etiologies. Some studies have shown increased mortality and length of stay in the hospital when incorrectly initially diagnosed in the ED. US has been shown more effective at differentiating these causes and improves diagnostic accuracy. This study will implement US exam upon initial exam of patient and chart time to diagnosis/treatment, length of stay in ED, length of stay in hospital admissions versus discharge rates, and 30 day mortality. ADHF and COPD/asthma patient differentiation will be the focus. Methods: Prospective cohort study of more than 18 years that present with the primary complaint of dyspnea with more than one complicating comorbid condition. Initial exam by physician will be accompanied by cardiothoracic US previously verified. Results: Study powered by previous year average of time to diagnosis of institution. Patient characteristics, distribution by diagnostic category, and characteristics found on US in correlation with diagnosis will be included for multivariate analysis. Conclusions: We expect to see a singificant difference in our time to diagnosis/treatment and mortality rate.
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Sun, Lina, Yanan Han, Hua Wang, Huanyu Liu, Shan Liu, Hongbin Yang, Xiaoxia Ren, and Ying Fang. MicroRNAs as Potential Biomarkers for the Diagnosis of Inflammatory Bowel Disease: A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2022. http://dx.doi.org/10.37766/inplasy2022.2.0027.

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Review question / Objective: The purpose of this systematic review was to systematically review the clinical studies regarding miRNAs as diagnostic biomarkers for inflammatory bowel disease and assess the overall diagnostic accuracy of miRNAs. Condition being studied: The symptoms of inflammatory bowel disease (IBD) are highly variable. The diagnosis of IBD must be made through medical history, physical, laboratory, radiologic, endoscopic, and histological examinations. However, these diagnostic techniques are not specific and sometimes even equivocal. Therefore, reliable biomarkers are urgently needed in the diagnosis of IBD. Several clinical and preclinical researches have shown that dysregulated microRNAs (miRNAs) play a crucial role in IBD development. miRNAs, as single-stranded noncoding RNAs that contain 22-24 nucleotides, can post-transcriptionally regulate gene expression by blocking mRNA translation or degrading target mRNAs. miRNAs are widely involved in physiological and pathological cellular processes, such as differentiation, proliferation and apoptosis. Besides, they are stable, noninvasive, and resistant to degradation by ribonucleases, making them valuable targets in the diagnosis, monitoring, prognosis, and treatment of diseases. To date, inconsistent results have been found about miRNA expression profiling in the patients with IBD. Moreover, the diagnostic accuracy of miRNAs for IBD has not been reported in any meta-analysis.
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Zhu, Mucheng, Zhenhua Lu, Hao Guo, Xiaoting Gu, Defang Wei, and Zhengyi Zhang. Diagnostic Value of Combination of Biomarkers for Malignant Pleural Mesothelioma：Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0043.

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Review question / Objective: Tumor biomarkers have become increasingly attractive due to their non-invasive properties and relatively inexpensive nature for early diagnosis of Malignant pleural mesothelioma (MPM) .Many scholars have published studies on DNA and protein as biomarkers for early diagnosis of MPM, which might be a new breakthrough. A new meta-analysis is necessary to compare the accuracy of combination of three kinds of DNA and three kinds of proteins. Condition being studied: XAs the previous studies have a certain controversy about DNA as a biomarker of MPM, we conducted a systematic search using EMBASE, PubMed and Cochrane Library to identify relevant studies from the inception to October 2021. we used QUADAS-2 for Quality Assessment to Diagnostic Accuracy Studies to evaluate the quality of eligible studies. We used Stata 15.0 and Review Manager 5.4 software to perform the meta-analysis to compare the accuracy of combination of three kinds of DNA and three kinds of proteins.
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Vilca-Alosilla, Juan Jeferson, Mayron Antonio Candia-Puma, Katiusca Coronel-Monje, Luis Daniel Goyzueta-Mamani, Alexsandro Sobreira Galdino, Ricardo Andrez Machado-de-Ávila, Rodolfo Cordeiro Giunchetti, Eduardo Antonio Ferraz Coelho, and Miguel Angel Chávez-Fumagalli. Comparing the accuracy of COVID-19 diagnostic tests: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0090.

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Review question / Objective: The present study aims to systematically review and summarize the available literature on the diagnostic accuracy of COVID-19 diagnostic tests. To do this, a systematic review of the medical literature was carried out between 2020 and 2021. The results were analyzed through a meta-analysis based on the techniques developed and used in the diagnosis of COVID-19. Eligibility criteria: The studies were selected in three stages. In the first, non-English language articles, duplicate articles, reviews, and meta-analyses were excluded, only articles published between 2020 and 2021 conducted on humans were included. In the second stage, the titles and ab-stracts of the articles selected through the search strategy were examined. Finally, the highly relevant full studies were retrieved and separated from the articles with a title or abstract that did not provide sufficient data to be included.
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Hu, Qifan, Qiyu Liu, Lipeng Sun, and Hui Wang. Accuracy of computer-aided diagnosis systerm for the diagnosis of malignant thyroid nodules on ultrasound：A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2022. http://dx.doi.org/10.37766/inplasy2022.9.0047.

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Serban, Christa, Diana Lungeanu, Sergiu-David Bota, Claudia C. Cotca, Meda Lavinia Negrutiu, Virgil-Florin Duma, Cosmin Sinescu, and Emanuela Lidia Craciunescu. Emerging Technologies for Dentin Caries Detection. A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2022. http://dx.doi.org/10.37766/inplasy2022.1.0097.

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Review question / Objective: What is the diagnostic test accuracy of emerging technologies for non-cavitated dentin caries detection, considering in vivo and in vitro studies that reported results regarding the occlusal and proximal surfaces, over the last 10 years? Information sources: Electronic databases of Medline, Embase, and PubMed were searched for articles published within the last decade (January 2011 to August 2021).in the period mentioned above. Medline and Embase databases were searched concomitantly using the Ovid interface. To find articles potentially missed by the search, Google Scholar was queried for diagnostic validity studies pertaining to technologies for dentin caries diagnosis.
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Zhang, Mei, Rongna Lian, Ruinian Zhang, Yulong Hong, Wen Feng, and Shifang Feng. The value of different imaging methods in the diagnosis of breast cancer: A protocol for a network meta-analysis of diagnostic test accuracy. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2021. http://dx.doi.org/10.37766/inplasy2021.4.0041.

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Kapadia, Anuj J. Simulations to Evaluate Accuracy and Patient Dose in Neutron-Stimulated, Emission-Computed Tomography (NSECT) for Diagnosis of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada488614.

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Wang, Leibo, and Guanyu Shi. Accuracy of novel urinary biomarker tests in the diagnosis of prostate cancer: a systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2022. http://dx.doi.org/10.37766/inplasy2022.9.0094.

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da Rosa, Maria Inês. Accuracy of rapid IgM and IgG Antibody Test for SARS-CoV-2 Infection Diagnosis: a systematic review and meta analysis. INPLASY - International Platform of Registered Systematic Review Protocols, April 2020. http://dx.doi.org/10.37766/inplasy2020.4.0099.

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