Gotowe bibliografie tematyczne / Cancer diagnosis

Gotowa bibliografia na temat „Cancer diagnosis”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 30 lipca 2024

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Artykuły w czasopismach na temat "Cancer diagnosis"

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Greener, Mark. "Improving cancer diagnosis". Nursing and Residential Care 22, nr 11 (2.11.2020): 1–4. http://dx.doi.org/10.12968/nrec.2020.22.11.7.

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Agarwal, Saumya, i Mamta Gupta. "Diagnostic Accuracy of Cytological Sampling Techniques by Bronchoscopy in the Diagnosis of Lung Cancer". Annals of Pathology and Laboratory Medicine 5, nr 5 (29.05.2018): A354–361. http://dx.doi.org/10.21276/apalm.1720.

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Stefan, Niţu Teodor, Savin Silvia, Costea Daniel Ovidiu, Sârbu Vasile, Şerban Silvia i Niţu Irina. "Ovarian Cancer - Accidental Diagnosis?" ARS Medica Tomitana 24, nr 1 (1.02.2018): 1–4. http://dx.doi.org/10.2478/arsm-2018-0001.

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Abstract Ovarian cancer is perhaps the most “worst” pathology in women’s genital area and represents the greatest diagnostic challenge and surgical treatment of genital cancers, and as much as the disease has a onset and asymptomatic evolution to the advanced stages or with a confused symptom. The present study was performed due to the following factors characterizing ovarian cancer: increasing incidence, early diagnosis, lack of screening methods, difficult anatomopathological differentiation even for experienced anatomopathologists.
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Fedorenko, Catherine R., Karma L. Kreizenbeck, Li Li, Laura Elizabeth Panattoni, Veena Shankaran i Scott David Ramsey. "Stage at cancer diagnosis during the COVID-19 pandemic in western Washington state." Journal of Clinical Oncology 39, nr 28_suppl (1.10.2021): 145. http://dx.doi.org/10.1200/jco.2020.39.28_suppl.145.

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145 Background: The COVID-19 pandemic disrupted medical care, including routine cancer screening for breast, colorectal, lung and cervical cancers. We aimed to investigate the impact of the pandemic on stage at diagnosis for cancer patients. Methods: Using data from the Washington State SEER records we compared AJCC stage for patients diagnosed with cancer in 2017-2019 to 2020 for two time periods, March to June (initial pandemic months) and July to December (later pandemic months). Patients were included if they were age 18+, diagnosed with a solid tumor, and not diagnosed at autopsy. Results: In the early phase of the pandemic, March – June 2020, there was a shift to cancers being diagnosed at a later stage compared to the same time period in 2017-2019 (Stage III: 13.5% to 14.9%, Stage IV: 16.2% to 19.7%). There was also a decrease in cancer diagnoses for cancers that are often detected through routine screening. As a percentage of all cancer diagnoses, both melanoma (13.2% to 9.8%) and colon cancer diagnoses (7.2% to. 6.7%) decreased during the early pandemic. In the later phase of the pandemic, July to December 2020, the stage at diagnosis showed an indication of returning to pre-pandemic levels with an increase in the proportion of early stage cancers (In situ: 16.6% to 19.3%, Stage I: 38.8% to 41.1%). Stage at diagnosis trends varied by tumor type. For colorectal cancer, the overall number of diagnoses decreased during the initial pandemic months. Stage I diagnoses decreased and Stage IV cancer diagnoses increased in both early and late stages of the pandemic. Conclusions: In Washington State, the COVID-19 pandemic had an impact on stage at diagnosis potentially caused by delays or interruptions in medical care. Additional studies are needed to understand how this shift in stage at diagnosis impacted treatment and outcomes for patients.
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Brody, Herb. "Cancer diagnosis". Nature 579, nr 7800 (marzec 2020): S1. http://dx.doi.org/10.1038/d41586-020-00840-9.

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Cutress, RI, i T. Gathani. "Cancer diagnosis". Annals of The Royal College of Surgeons of England 105, nr 4 (kwiecień 2023): 291–92. http://dx.doi.org/10.1308/rcsann.2023.0026.

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Gantsev, S. Kh, A. I. Pukhalenko, A. A. Romaniukha, I. A. Chulina, A. N. Chulin i A. B. Poletaev. "IMMUNOCHEMICAL DIAGNOSIS OF CANCER. PROTOTYPING". Physical and rehabilitation medicine, medical rehabilitation 1, nr 3 (15.09.2019): 58–62. http://dx.doi.org/10.36425/2658-6843-2019-3-58-62.

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A prototype of the method of immunochemical detection of different types of solid cancers (primary and recurrent) in the early stages was developed. According to the initial hypothesis, the sera of patients with malignant tumors of different localization and different histological nature, contain different sets of autoantibodies (auto-Ab) of IgG class to many cancer-associated antigens (CA-AG). The content of such auto-Ab differs in cancer patients and patients with non-malignant chronic diseases, which determines the difference in serum immunoreactivity profiles of cancer patients and patients with non-malignant diseases. Confirmation of this hypothesis opens up prospects for the creation of simple and cheap laboratory methods of mass preventive examination of the population for the early detection of different cancers. The confirmation of the hypothesis was obtained. Moreover, even with non-optimal sets of test antigens, with the help of solid-phase ELISA it was possible to achieve sensitivity of 71% and specificity of 68% in the differentiation of blood sera of cancer (lung, stomach, ovary, prostate) and non-cancer patients (chronic inflammatory diseases of the lungs, stomach, ovary, prostate) and nearly 90% in the differentiation of healthy individuals from cancer patients.
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Abdinazarova, I. S., N. E. Atakhanova i N. I. Tursunova. "COMPARATIVE CONCLUSIONS OF DIAGNOSIS IN UTERINE BODY CANCER". International Journal of Medical Sciences And Clinical Research 03, nr 04 (1.04.2023): 1–12. http://dx.doi.org/10.37547/ijmscr/volume03issue04-01.

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Evaluation of the effectiveness and diagnostic accuracy of the Pipelle device in the early stages of endometrial sampling, precancerous diseases, including endometrial hyperplasia, atypical hyperplasia, endometrial polyps, and various histological types of endometrial cancer, compared to the traditional curette.
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Maplethorpe, Emily, Emily V. Walker, Trenton Smith, Faith G. Davis i Yan Yuan. "The Importance of Cancer Registry Linkage for Studying Rare Cancers in Prospective Cohorts". Journal of Cancer Epidemiology 2020 (25.11.2020): 1–8. http://dx.doi.org/10.1155/2020/2895276.

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Large prospective cohort studies may offer an opportunity to study the etiology and natural history of rare cancers. Cancer diagnoses in observational cohort studies are often self-reported. Little information exists on the validity of self-reported cancer diagnosis, especially rare cancers, in Canada. This study evaluated the validity of self-reported cancer diagnosis in Alberta’s Tomorrow Project (ATP), a provincial cohort in Canada. ATP data were linked to the Alberta Cancer Registry (ACR). The first instance of self-reported cancer in a follow-up survey was compared to the first cancer diagnosis in the ACR after enrollment. The sensitivity and positive predictive value (PPV) were estimated for the reporting of cancer status, reporting of common or rare cancer, and reporting of site-specific cancer. Logistic regression analysis explored factors associated with false positive, false negative, and incorrect cancer site reporting. In the 30,843 ATP participants who consented to registry linkage, there were 810 primary cancer diagnoses in the ACR and 959 self-reports of first cancer post-enrollment, for a cancer status sensitivity of 92.1% (95% CI: 90.0-93.9) and PPV of 77.8% (95% CI: 75.0-80.4). Compared to common cancers, rare cancers had a lower sensitivity (62.8% vs. 89.6%) and PPV (35.8% vs. 84.5%). Participants with a rare cancer were more likely to report an incorrect site than those with a common cancer. Rare cancers were less likely to be captured by active follow-up than common cancers. While rare cancer research may be feasible in large cohort studies, registry linkage is necessary to capture rare cancer diagnoses completely and accurately.
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Waheed, Amina. "Pathways to cancer diagnosis: current state and recommendations". British Journal of General Practice 73, suppl 1 (lipiec 2023): bjgp23X734313. http://dx.doi.org/10.3399/bjgp23x734313.

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BackgroundDiagnosing cancer early is crucial in improving patient outcomes. Primary care networks are encouraged to audit routes to cancer diagnosis, as suggested by the Network Contract Directed Enhanced Service Early Cancer Diagnosis Guidance.AimWe aim to measure how many patients were diagnosed with cancer in the period of April 2021 to March 2022 at an Essex GP practice, and for each of those patients, to ascertain the route of their diagnosis. We also conducted learning event analyses for patients whose diagnoses were not detected through 2-week wait (2WW) or screening.MethodSystmOne Read codes were utilised to identify all patients coded with ‘cancer’, and ‘fast-track cancer referral’. We measured the conversion rate of 2WW referrals to cancer diagnoses. For diagnoses not detected via 2WW or screening, we analysed patient notes for previous consultations and eventual route to diagnosis.ResultsIn total, 160 2WW referrals were made with a 6.25% conversion rate to cancer diagnoses. In total, 26 patients were diagnosed with cancer. Seventeen patients were diagnosed through 2WW, three through national screening programmes, three through accident and emergency, two through routine referral, and one through incidental finding. For the six patients not diagnosed through 2WW or screening, reasons why included poor patient engagement with healthcare services, referrals requiring chasing, patients passed between specialties, and failure to detect pertinent clinical signs.ConclusionIt is promising that the majority of cancers are diagnosed through 2WW and screening; however, improving patient engagement, streamlining referrals, and thorough clinical examination and documentation will reduce delayed or missed diagnoses.
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Rozprawy doktorskie na temat "Cancer diagnosis"

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Elter, Matthias. "Computer-aided diagnosis of breast cancer". Tönning Lübeck Marburg Der Andere-Verl, 2010. http://d-nb.info/1001110773/04.

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Laking, George Robert. "An empirical approach to cancer diagnosis". Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417132.

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Chan, Pui-man Poemen, i 陳培文. "Micrometastases of esophageal cancer". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B45012842.

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Shaha, Maya. "The omnipresence of cancer". Thesis, City University London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274459.

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Deby, Stanislas. "Développement d'un colposcope polarimétrique de Müller pour le dépistage du cancer du col utérin : premières mesures in-vivo". Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLX021/document.

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Cette thèse a été consacrée au développement et à la mise en oeuvre d’un imageur polarimétrique de Müller installé sur un colposcope standard dans le but de diagnostiquer invivo des lésions précancéreuses du col utérin.Ce travail s’est appuyé sur le développement réalisé durant les dix dernières années au LPICM à l'École polytechnique d’une nouvelle technologie d'imagerie médicale non invasive et a priori adaptée à la détection précoce du cancer : l’imagerie polarimétrique
This thesis was devoted to the development and the implementation of a polarimetric imager of Müller installed on a standard colposcope in order to diagnose invivo precancerous lesions of the cervix.This work was based on the development carried out during the last ten years at the LPICM at the Ecole polytechnique of a new non-invasive medical imaging technology and a priori adapted to the early detection of cancer: polarimetric imaging
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Clark, Gene C. "MIRNAS AS BIOMARKERS FOR PROSTATE CANCER PROGRESSION". VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3954.

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Prostate cancer is one of the most challenging global medical issues today. In 2011, prostate cancer was the most diagnosed malignancy in the United States, making up 29% of new cancer cases. In that year it was the second leading cause of cancer related deaths among men in the USA and the second most common cause of cancer related death overall from the EU. The prostate remains, however, an under studied organ, making insights into the anatomy and biology of prostate cancer difficult to achieve. After 30 years, PSA screening of men of the appropriate age is still the first step in prostate cancer diagnosis, usually followed by a manual prostate exam which may lead to a transrectal biopsy. This study makes use of Next Generation Sequencing to successfully identify a superior miRNA based urinary assay for the detection of prostate cancer. A receiver operating curve AUC of 0.90 was achieved for patients vs. non-patients using an additive risk model defined by empirically derived critical threshold values of eight urinary miRNAs identified with this method. This is superior to the PSA blood test’s AUC of 0.66 which illustrates that a miRNA profile such as this has the potential to surpass protein biomarkers such as PSA in terms of specificity and sensitivity. It was also demonstrated that a geometric mean of three urinary miRNAs were useful for endogenous normalization. One significant risk factor for prostate cancer is being African American. Again using Next Generation Sequencing technology, we have established a miRNA expression profile for the stages of a prostate cancer cell line progression model derived from the normal prostate epithelium of an African American man. Normal prostate epithelium was immortalized only with SV40 large T antigen (P69) and passaged three times in nude mice, producing the highly aggressive and metastatic M12 cell line. The M2182 cell line is an intermediate between the P69s and M12s having only been passaged twice and not yet having acquired metastatic potential. The F6 cell line was derived by reintroducing a copy of chromosome 19 missing from the M12 cell line via microcell mediated chromosome transfer. These profiles show a large downregulation of miRNAs early in tumorigenesis (from P69 toM2182) affecting the DLK1-DIO3 megacluster and the miR-200 family. The later acquisition of metastatic potential (from M2182 to M12) is concomitant with the upregulation of specific miRNAs including the HOX gene miRNAs miR-10a and miR-196 and miR-9. Thus, the analysis of this progression model has uncovered relevant miRs and genes the dysregulation of which contribute to prostate tumorigenesis.
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Yang, Zhugen. "3D-Microstructured Protein Chip for Cancer Diagnosis". Phd thesis, Ecole Centrale de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00780192.

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Protein microarrays are becoming powerful tools to screen and identify tumor markers for cancer diagnosis, because of the multiplex detection and minute volume of sample requirement. Due to the diversity and variation in different cancers, no single tumor marker is sensitive and specific enough to meet strict diagnostic criteria. Therefore, a combination of tumor markers is required to increase sensitivity and to establish distinct patterns to increase specificity. To obtain reliable tests, the development of reproducible surface chemistry and immobilization procedure are crucial steps in the elaboration of efficient protein microarrays. In this thesis, 3D micro-structured glass slides were functionalized with various surface chemistries like silane monolayer (amino, epoxy and carboxy), and polymer layers of Jeff amine, chitosan, carboxymethyl dextran (CMD), maleic anhydride-alt-methyl vinyl ether copolymer (MAMVE) for physical adsorption or covalent binding with proteins. Surface characterizations, such as X-ray photoelectron spectroscopy (XPS) and Attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR), confirmed the monolayer/polymer grafting on the glass slides. Colorimetric assay for determining amine density of three aminated surfaces demonstrated that APDMES had more grafting density than Jeffamine and chitosan. Contact angle measurements show that polymer surfaces were more hydrophilic than monolayer surfaces due to the increasing dosages of polar functional groups. Moreover, the parameters such as additives and pH of spotting buffer, probe concentration, blocking procedures etc, were optimized for tumor marker detection. Under the optimized conditions, antibody microarrays were validated with purified tumor antigens. The best analytical performances obtained for each tumor antigen tested were strongly dependent on functionalized surfaces, e.g. MAMVE exhibited best analytical performances for CEA andHsp60 while NHS leads to best results for PDI and CA19-9. Besides, the implemented antibody microarrays were applied to tumor marker detection from colorectal cancer sera. This evaluation shows the interest to combine several tumor markers on the same surface and the combination of tumor markers on their specific surface lead to remarkably increase the positive responses of tested cancer sera (even up to 100 %). A second type of microarrays (tumor-associated antigens - TAA microarrays) was designed to discriminate breast cancer patients from healthy donors through the detection of tumor autoantibodies. This study included a cohort of 29 breast cancer patients' and 28 healthy donors' sera. A panel of fiveTAAs (Hsp60, p53, Her2, NY-ESO-1 and Hsp70) immobilized on their respective optimized surface chemistry allowed to specifically detect over 82% of breast cancer patients.
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Maltt, N. D. "Diagnosis of lung cancer by raman spectroscopy". Thesis, Queen's University Belfast, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492488.

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lung cancer patients from 'at risk' controls and 'at risk' control subjects from healthy control subjects. Porphyrin-containing substances were higher in the 'at risk' controls than either the healthy controls or the lung cancer patients. Additionally the induced sputum from the three groups was analysed using Surface-enhanced Desorption-Ionization Time-of-flight mass spectrometry which also distinguished the three groups. A mini fibre optic probe was used in conjunction with shifted subtracted Raman spectroscopy to analyse normal and malignant ex vivo lung tissue from 7 patients, obtained from lung cancer surgical resections and could classify the two types of tissue perfectly. In conclusion, Raman spectroscopy has the potential to diagnose lung cancer, predict prognosis and elucidate the chemical changes associated with carcinogenesis.
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Wood, Emma McIntosh. "Delays in the diagnosis of colorectal cancer". Thesis, University of Leeds, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445952.

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Theophilou, Georgios. "Biospectroscopy towards screening and diagnosis of cancer". Thesis, Lancaster University, 2015. http://eprints.lancs.ac.uk/76938/.

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Systems biology is an emerging science that combines high throughput investigation techniques to define the dynamic interplay between different biological regulatory systems in response to internal and external cues. Related technologies, genomics, epigenomics, transcriptomics, proteomics, metabolomics and toponomics have been applied to investigate models of carcinogenesis to identify committing initiating events. Vibrational spectroscopy has the potential to play an integral role within systems biology research approaches, as it is able to identify chemical bond alterations within molecules independent of where these molecules reside. Its integration with current “systems biology” methodologies can contribute in the identification of potential biomarkers of carcinogenesis and assist in their incorporation into clinical practice. Breast tissue undergoes cyclical and longitudinal molecular and histological alterations that are influenced by environmental factors. These factors may include diet and lifestyle in addition to parity, lactation and menopausal status and are implicated in carcinogenesis. Breast cancer may appear decades after the initial carcinogenic event. Available research in this area is limited to when early histological changes occur due to the difficulties imposed by the molecular and histological diversity of breast tissue. Vibrational spectroscopy in combination with powerful chemometric techniques has identified spatial and temporal mammary alterations in benign tissue. Prostate cancer is influenced by environmental factors. Its incidence is higher in populations adopting a Westernised lifestyle and diet and has increased over the past generation. This leads to the assumption that prostatic tissue composition may exhibit chronological alterations. Vibrational spectroscopy techniques were applied to matching prostatic tissues with benign prostatic hyperplasia collected from 1983 to 2013. Significant trans-generational segregation was identified. Spectral areas responsible for this segregation pointed towards epigenetic changes. Immunohistochemical studies for DNA methylation and hypomethylation supported these results. Vibrational spectroscopy techniques were also implemented to explore molecular changes between normal ovarian tissue, borderline ovarian tumours and malignant ovarian carcinomas. Different chemometric techniques were applied to discriminate cancers from controls. Similar techniques were able to segregate different types of epithelial ovarian carcinomas. The accurate diagnosis obtained using ATR-FTIR spectroscopy demonstrates its potential for development as an assisting tool for histopathological diagnosis. The endometrial-myometrial junction areas of benign uterine tissues were scrutinised by Synchrotron FTIR and FPA. These techniques in combination with multivariate analysis revealed clear segregation between the functionalis and basalis layers within the uterine crypts. The same techniques illustrated potential areas within these epithelial surfaces where different stem cell types may reside. Targeting the activation/ inactivation of these stem cells may have applications in the diagnosis and treatment of early uterine cancer.
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Książki na temat "Cancer diagnosis"

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Bannasch, Peter, red. Cancer Diagnosis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76899-6.

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Jones, J. Stephen, red. Prostate Cancer Diagnosis. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-188-2.

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Cotter, Finbarr. Molecular Diagnosis of Cancer. New Jersey: Humana Press, 1996. http://dx.doi.org/10.1385/0896033414.

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Roulston, Joseph E., i John M. S. Bartlett. Molecular Diagnosis of Cancer. New Jersey: Humana Press, 2004. http://dx.doi.org/10.1385/1592597602.

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H, Herold Arthur, i Woodard Laurie J, red. Cancer screening and diagnosis. Philadelphia: Saunders, 1996.

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Wright, Jane Riddle. Diagnosis, cancer--prognosis, life. Huntsville, Ala. (P.O. Box 2011, Huntsville 35804): Albright, 1985.

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R, Bartram C., Munk Klaus i Schwab M. 1945-, red. Oncogenes in cancer diagnosis. Basel: Karger, 1990.

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E, Cotter Finbarr, red. Molecular diagnosis of cancer. Totowa, N.J: Humana Press, 1996.

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M, Ariel Irving, i Cleary Joseph B. 1948-, red. Breast cancer: Diagnosis & treatment. New York: McGraw-Hill, 1987.

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Kumar, C. S. S. R., red. Nanomaterials for cancer diagnosis. Weinheim: Wiley-VCH, 2007.

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Części książek na temat "Cancer diagnosis"

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Peairs, Kimberly S. "Cancer Diagnosis". W Caring for Patients Across the Cancer Care Continuum, 69–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01896-2_4.

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Baldini, C. "Cancer Diagnosis". W Encyclopedia of Gerontology and Population Aging, 1–6. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-69892-2_758-1.

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Sherman, C. D., K. C. Calman, S. Eckhardt, I. Elsebai, D. Firat, D. K. Hossfeld, J. P. Paunier i B. Salvadori. "Cancer Diagnosis". W Manual of Clinical Oncology, 322–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-96995-9_33.

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Baldini, C. "Cancer Diagnosis". W Encyclopedia of Gerontology and Population Aging, 732–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-22009-9_758.

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Messadi, Diana, Anh D. Le, Takako Tanaka i Petra Wilder-Smith. "Oral Cancer". W Oral Diagnosis, 99–111. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19250-1_5.

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Yu, Chenggong, Guifang Xu, Qin Huang, Tingshan Lin i Edward Lew. "Diagnosis". W Gastric Cardiac Cancer, 161–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-79114-2_9.

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Nagahama, Takashi, Noriya Uedo i Kenshi Yao. "Endoscopic Diagnosis". W Gastric Cancer, 119–45. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1120-8_9.

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Itoi, Takao, i Atsushi Sofuni. "Endoscopic Diagnosis". W Pancreatic Cancer, 115–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-47181-4_8.

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Bannasch, P., i G. van Kaick. "What does “Early” Stand for in Cancer Diagnosis?" W Cancer Diagnosis, 1–2. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76899-6_1.

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Lamerz, R. "Introductory Remarks". W Cancer Diagnosis, 93–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76899-6_10.

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Streszczenia konferencji na temat "Cancer diagnosis"

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Uyun, Shofwatul, Nida Muhliya Barkah, Irma Eryanti Putri i Nur Faridah. "A Systematic Literature Review on the Methods of Breast Cancer Classification". W The 6th International Conference on Science and Engineering. Switzerland: Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-t12vxu.

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Cancer is the second most common cause of death in the world. WHO notes, deaths caused by cancer will reach 10 million cases in 2021. Of many cancers, breast cancer is a cancer with the most cases. Early diagnosis of breast cancer plays an important role in the treatment process. Various imaging methods, including magnetic mammography, are used to diagnose breast cancer. With the help of machine learning, the process of diagnosing breast cancer with mammography images is more precise and accurate. Various machine-learning methods have been developed by researchers to diagnose breast cancer. Among them is a deep learning method that can achieve good feature representation and can solve the problem of image classification and object localization. Through a systematic literature review, this research collects and analyzes related studies regarding the classification of breast cancer that have been done previously. Several aspects that will be evaluated include the methods used, data sources used, and accuracy of the method used. This research is expected to provide clear knowledge about the advantages and disadvantages of using artificial intelligence techniques for breast cancer classification. The results of this study can provide insight for researchers and medical practitioners in the further development and application of deep learning methods in the diagnosis and classification of breast cancer.
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Queiroz, Andrei Alves de, Gustavo Machado Badan, Marilucia Batina Fernandes Moreira i Amanda Neves Machado. "IMPACT OF COVID-19 ON BREAST CANCER TUMOR SIZE AT DIAGNOSIS". W Scientifc papers of XXIII Brazilian Breast Congress - 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s1006.

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Introduction: In 2020, COVID-19 affected the whole world, determining a pandemic situation, with recommendations for social isolation and lockdown. In the state of São Paulo, the shutdown of non-essential services was determined on March 22, 2020. Medical appointments and routine imaging exams were postponedand little is known about the impact on screening delay and the diagnosis of neoplasms. Considering that survival and cure of breast cancer are directly related to an early diagnosis, the size of these malignant tumors can be used in researching the delay in breast cancer diagnoses. Objectives: To evaluate the impact of the pandemic on the size of breast cancer in histological diagnosis, as well as on the number of diagnostic procedures performed at our hospital. Methods: Through a retrospective, analytical and crosssectional study, we analyzed data regarding tumors with histological results of malignancy of core needle breast biopsies guided by ultrasound performed at a private hospital in São Paulo between January 1, 2019 and December 31, 2020. The mean tumor sizes were compared to identify differences between prepandemic and pandemic periods. The prepandemic period (PRE) was established between January 1, 2019 and March 31, 2020, and the pandemic period (PAN) was considered from April 1 to December 31, 2020. Based on the sample size, this study has the power of 80% to detect a variation of 1 cm in the mean tumor size. Results: A total of 493 core needle biopsies were identified in 443 patients. A total of 103 (20.1%) biopsies in 94 patients were malignant. In the PAN group, 36 cases of cancer were diagnosed (4 cases/month), while the PRE group diagnosed 67 cases (4.5 cases/month). The mean size of PRE tumors was 1.66 cm, while in PAN tumors it was 2.21, showing a difference of 0.55 cm without statistical significance (95%CI 0.12–1.21; p=0.12). When considering staging (TNM – Tumor, Node, Metastases), the stages T1, T2 and T3 had no significant difference among the groups (p=0.12). The age at diagnosis of malignant lesions ranged from 30 to 82 years in the PRE period, and from 34 to 85 years in the PAN period. The mean age of patients with malignant lesions diagnosed in PAN was higher than PRE, without statistical significance (59.2 vs 56.0; p=0.30). Despite the fewer biopsies performed in both periods, (p <0.001), there was no statistical difference in the number of biopsies with malignant results (p=0.18), since there were proportionally more diagnoses of malignancy in the PAN period (28.6% vs. 18.3%; RR 1.14; 95%CI 1.01–1.29; p=0.02). Conclusions: Although the pandemic affected breast cancer screening, no statistically significant increase in the mean size of tumors has been diagnosed in this service so far.
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Antonini, Marcelo, Gabriel Duque Pannain, Steffi Ferreira Buttenbender, Andre Mattar, Odair Ferraro, Maria Clara Alves de Lima Brito, Rodrigo Ferreira Rodrigue i Reginaldo Guedes Coelho Lopes. "Epidemiology of male breast cancer in Brazil: An analysis of patients undergoing treatment in the public health system". W Brazilian Breast Cancer Symposium 2023. Mastology, 2023. http://dx.doi.org/10.29289/259453942023v33s1073.

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Objective: The objective of this study was to understand the epidemiological profile of breast cancer in men in Brazil, in order to improve care for these patients. Methodology: This study is an ecological, observational, cross-sectional analysis based on retrospective data from the publicly available National Oncology Database (DATASUS — SISCAN/Cancer Information System). The study utilized a National Tracking Database as the primary data source. Descriptive analyses of sociodemographic characteristics of patients, including the geographic region of diagnosis, and age range of affected men, were performed. The study also evaluated specific data regarding breast cancer, including clinical staging and types of treatment. The relationship between age group, staging, and treatment according to staging was also evaluated. Results: During the analyzed period of 2017–2021, a total of 4,327 cases of breast cancer in men were diagnosed and recorded in the system, representing 1.81% of all breast cancers registered during this period. The majority of cases were diagnosed in the Southeast region (41%), followed by the Northeast region (37%). In terms of age, the majority of patients were over 54 years (68.9%), with 19.1% of patients between 40 and 54 years, and 12% of all registered cases occurred in patients under 40 years. Clinical examination was used to diagnose 62.8% of men, while imaging examinations were used to diagnose 37.2%. Treatment options included chemotherapy (55.7%), surgical treatment (35.6%), and radiotherapy (8.7%). Conclusion: Breast cancer in men is a rare disease that should not be neglected. It is often diagnosed at more advanced stages, which leads to more invasive treatments. Men with known risk factors should be advised to seek medical attention as soon as they feel a palpable retroareolar mass to ensure a prompt and accurate diagnosis. It is important to raise awareness of this disease and encourage early detection and treatment to improve outcomes for men with breast cancer.
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Moreno, Andre, Kimberly Masiero Cola, Larissa Heberle i Marcelo Moreno. "RELATIONSHIP BETWEEN IMMUNOHISTOCHEMICAL CHARACTERIZATION AND FORM OF DIAGNOSIS OF BREAST CANCER". W Scientifc papers of XXIII Brazilian Breast Congress - 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s1008.

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Introduction: Breast cancer is the most incident neoplasia among Brazilian women. According to immunogenetic characteristics, it is possible to verify that malignant breast neoplasms with greater biological activity would be those classified as luminary B, HER2+ and triple-negative, and that the one with the lowest biological activity would be the luminal subtype A. Thus, a mammography would be more likely to detect cancers with a low degree of biological characteristics such as “luminal A”. On the other hand, mammary carcinomas with greater potential for systemic dissemination show faster growth in the breast parenchyma and are detected predominantly by self-examination. Knowledge of this difference in the clinical behavior of mammary malignant neoplasms is important for the diagnosis of “interval” breast cancers, that is, breast cancer that appears in the period between the performance of annual screening mammograms. Objectives: Verify the relationship between immunohistochemical characterization of malignant breast neoplasms and the finding that motivated the medical consultation, in women with breast cancer and residents of Western Santa Catarina, Brazil. Methods: Observational, cross-sectional study, which included women diagnosed with breast cancer and treated at an oncology referral center in the city of Chapecó, state of Santa Catarina, Brazil, from January 2000 to December 2016. Patients that presented medical records whose main complaint was towards the diagnosis of breast cancer were included (example: nodule diagnosed by imaging exams, self-examination, clinical examination). Besides this, the breast injury related to this complaint should have been breast cancer diagnosed by an anatomopathological examination and an immunohistochemistry study. The project was developed in accordance to CEP/UNOCHAPECO no. 1819869. Results: Data from 209 patients were analyzed, from which 83 (39.7%) cases of breast cancer were detected by a mammography examination; 115 (55%) cases by breast self-examination and 11 (5.2%) cases by other forms of examination, which included clinical breast examination done by a doctor, magnetic resonance imaging and ultrasound. The luminal A immunohistochemical profile was more prevalent among patients who underwent breast cancer detection through mammography (62.6%). There was a correlation between lymph node invasion and the screening method, in which 78.6% of cancers detected by self-examination showed expansion to lymph nodes, while those detected by mammography presented an invasion rate of 45.7% (p=0.002). Conclusions: Breast cancer with immunohistochemical characterization, related to greater biological activity, were most often detected by self-examination, while neoplasms with indolent development were diagnosed predominantly by mammography.
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El-Helou, Etienne, Catalin-Florin Pop, Ammar Shall, Manar Zaiter, Jessica Naccour, Huu Hoang, Thi Hoa Nguyen i Xuan Dung Ho. "PRIMARY INVASIVE DUCTAL CARCINOMA OF AXILLARY ACCESSORY BREAST". W Brazilian Breast Cancer Symposium 2022. Mastology, 2022. http://dx.doi.org/10.29289/259453942022v32s2094.

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Primary accessory breast cancer is an extremely rare pathology, representing less than 1% of all breast cancers, and it is found in more than 90% of cases in the axilla. The diagnosis of accessory axillary breast cancer (AABC) is often late and at an advanced stage, with an average delay of 40.5 months. Histological sampling and immunohistochemical results confirm the diagnosis. Most patients are diagnosed with stage II disease or higher, so it is considered to have a poor prognosis. There is no proper management for AABC; it follows the guidelines for orthotopic pectoral breast cancer. We therefore report the case of a 50-year-old woman diagnosed with grade II invasive ductal carcinoma found in accessory axillary breast, treated with neoadjuvant chemotherapy followed by a wide local resection and axillary lymph node dissection.
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Rodrigues, Milena de Freitas, Ariane Silva da Rocha, David Siqueira Gonçalves, Maria Paula Curado i Maria Nirvana da Cruz Formiga. "Hereditary cancer syndromes in patients with second primary breast cancer". W Brazilian Breast Cancer Symposium 2023. Mastology, 2023. http://dx.doi.org/10.29289/259453942023v33s1067.

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Objective: The objective of this study was to evaluate the presence of hereditary cancer syndromes (HCS) in patients with a diagnosis of two primary breast carcinomas and analyze the frequency of pathogenic variants in high- and moderatepenetrance genes. Methodology: This is a retrospective unicentric cohort study on patients with a diagnosis of two primary breast cancers, diagnosed between January 2000 to December 2020, at A.C. Camargo Cancer Center, Brazil. The association between categorical variables was analyzed by the chi-square test or Fisher’s exact test. For survival curves, the Kaplan-Meier method and log-rank test were used to describe the survival curve differences. Results: Medical records of breast cancer patients were reviewed from 2000 to 2020, and a frequency of 600 patients with two primary breast tumors (metachronous or synchronous) was observed. In total, 190 (31.7%) patients performed genetic testing and 35 (5.8%) patients presented a pathogenic or likely-pathogenic germline variant in cancer predisposing genes. Conclusion: Our results revealed a low rate of genetic testing among patients with two primary breast cancers in a cancer center and a frequency of carrier patients lower than expected.
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Hider, Nabilah Hanani, Anis Salwa Binti Mohd Khairuddin i Effariza Binti Hanafi. "VGG Classification Model for Lung Cancer Diagnosis". W International Technical Postgraduate Conference 2022. AIJR Publisher, 2022. http://dx.doi.org/10.21467/proceedings.141.9.

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Lung cancer is one of the most common cancers worldwide that leads to small survival rate. It is important to detect the presence of these harmful cells in human body at early stages to prevent it from worsening. The primary goal of this study is to propose an efficient lung cancer image classification model using deep learning method. The cancer image classification framework is proposed by using transfer learning with Convolutional Neural Network (CNN) to classify three categories of 5,100 cancer images namely lung adenocarcinoma, lung squamous cell carcinoma and benign lung tissues obtained from the dataset. Several experiments have been performed to improve the VGG19 model performance by varying the optimizers including RMSprop, Adam and SGD. The performance of all experiments conducted were analyzed based on the training and validation curves, classification reports and the confusion metrics.
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Ribeiro, Laíse Alves, João Victor Monteiro de Camargo, Alexandre Pelícolla Galli, Geovana Sousa Resende, Daiane Rosa Dantas Santos i Carlos Eduardo Nunes Aranha. "Male breast cancer: How to optimize the diagnosis?" W Brazilian Breast Cancer Symposium 2023. Mastology, 2023. http://dx.doi.org/10.29289/259453942023v33s1077.

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Objective: Male breast cancer (MaBC) is a rare disease that represents about 1% of all cases of breast cancer (BC) in Brazil. The scarcity of screening campaigns hinders early diagnosis, directly affecting treatment and prognosis. Therefore, this study aimed to increase the visibility, among health professionals, for the aforementioned disease, describing how screening and diagnosis have been performed until now. Methodology: This study is a systematic literature review. Articles indexed in the electronic databases PubMed, SciELO, and ScienceDirect were collected. Studies were selected using the following descriptors and keywords: (Breast Cancer) AND (Men). Results: The avoidance of medical services by men, the absence of guidelines for the management of MaBC, and the rarity of this disease contribute to late diagnosis. The average delay in diagnosis ranges from 6 to 10 months after the onset of symptoms, and about 40% are diagnosed in stages III and IV. Clinical and radiological evaluation and tissue biopsy are essential for diagnosis. Screening should be initiated by evaluating risk factors, such as advanced age, radiation therapy, obesity, hormone imbalance, and BRCA2 mutations. The main clinical finding is a single, retroareolar, and painless mass, usually in the left breast. It can involve axillary lymph nodes, and, in rarer cases, nipple retraction, papillary discharge, and ulceration can be found. Mammography in men is generally more sensitive than in women. For biopsy, core biopsy is the preferred method. Conclusion: Despite its rarity, the MaBC mortality rate is higher than women BC. That may be due to unawareness of the disease among patients and lack of guidelines, possibly leading to medical negligence. Hence, careful attention to breast complaints, especially in highrisk patients, is mandatory to avoid late diagnosis. Promoting public awareness about MaBC and its symptoms is also required. Furthermore, the development of guidelines for diagnostic purposes would improve the management of MaBC.
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Gomes, Woldson Leonne Pereira, i Antonio Silveira. "Artificial intelligence applied to support the breast cancer diagnosis". W Congresso Brasileiro de Inteligência Computacional. SBIC, 2021. http://dx.doi.org/10.21528/cbic2021-46.

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Breast cancer is a more common neoplasm among women (not considering non-melanoma skin cancer). The estimate for the coming years is still growing and poses a threat to human health. Currently, the methods used in the diagnosis of breast cancer are performed through analysis of mammography images. Allowed, an analysis made by two specialists, which are subject to errors due to factors such as fatigue and lack of capacity. Not only the factor of human errors in diagnoses, certainly the long periods of time until the final diagnosis is another factor to be taken into account, because cancer is a progressive disease over time. In this sense, the present work applied a solution through the automatic classification of mammography images, in order to determine as normal or cancer. In addition, for simulations, two machine learning techniques were added independently, as they can eventually serve as a support in the diagnosis of breast cancer, that is, a CAD system, which means “computer-aided diagnosis”. As machine learning techniques applied for classification referenced as convolutional neural networks and support vector machines. Subsequently, the construction of the classification algorithms, they were subjected to the testing phase, which was found to be more than 85% accurate in the classification of mammography images.
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M. D, Tharun Kumar, Soniya Priyatharsini G. i Geetha S. "Breast Cancer Detection Using Machine Learning Classifier". W The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/ovzf8018/ngcesi23p140.

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Breast cancer is one of the main causes of cancer death worldwide. Early diagnostics significantly increases the chances of correct treatment and survival, but this process is tedious and often leads to a disagreement between pathologists. The diagnosis is based on the qualification of histopathologist, who will look for abnormal cells. However, if the histopathologist is not well-trained, this may lead to wrong diagnosis. Computer- aided diagnosis systems showed potential for improving the diagnostic accuracy. In this work, we develop the computational approach based on deep convolution neural networks for breast cancer histology image classification. Hematoxylin and eosin stained breast histology microscopy image dataset is provided as a part of the ICIAR 2018 Grand Challenge on Breast Cancer Histology Images. Our approach utilizes several deep neural network architectures. Convolutional Neural Networks for Binary class classification and multiclass classification. The Binary class classification is used to classify the cancer cells to malignant and benign. And the Multiclass classification these classes into different subclasses like adenosis, fibroadenoma, phyllodes tumour, tabular adenoma for benign class and ductal carcinoma, lobular carcinoma, mucinous carcinoma, papillary carcinoma for malignant class. The result will show Convolutional Neural Networks outperformed the handcrafted feature based classification with high accuracy in both binary and multiclass classification.
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Raporty organizacyjne na temat "Cancer diagnosis"

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Corkum, Eleanor, Tiffanie Perrault i Erin C. Strumpf. Improving Breast Cancer Diagnosis Pathways in Quebec. CIRANO, październik 2023. http://dx.doi.org/10.54932/qsho2261.

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Delays in breast cancer diagnosis can worsen the severity of illness and reinforce inequalities. This report analyzes Quebec’s capabilities and performance along the diagnosis pathway, gathering information from the scientific literature on cancer care, government reports, and expert interviews. The first section outlines which types of breast cancer data Quebec collects, and how data availability impacts the measurement of performance indicators. The second section discusses how socio-economic factors and unclear guidelines for patients outside Quebec’s organized screening program create barriers to diagnosis. We also explore how Quebec’s lack of standardized and integrated care and its outdated cancer registry can create further delays and inefficiencies. The final section of the report compares innovations in breast cancer diagnosis in Quebec to those in Alberta and Ontario, where diagnostic delays are shorter. This comparison suggests that Quebec should include high-risk individuals in its screening program, create personalized screening recommendations, update available imaging and genetic testing technologies, and modernize communication methods. Relevant research and initiatives seeking to increase screening adherence among groups with low screening rates are also discussed. Overall, this paper highlights tangible strategies to shorten and streamline the breast cancer diagnosis interval, and points the reader to key resources for further investigation.
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Tangka, Florence K. L., Sujha Subramanian, Madeleine Jones, Patrick Edwards, Sonja Hoover, Tim Flanigan, Jenya Kaganova i in. Young Breast Cancer Survivors: Employment Experience and Financial Well-Being. RTI Press, lipiec 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0041.2007.

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The economic burden of breast cancer for women under 50 in the United States remains largely unexplored, in part because young women make up a small proportion of breast cancer cases overall. To address this knowledge gap, we conducted a web-based survey to compare data from breast cancer survivors 18–39 years of age at first diagnosis and 40–49 years of age at first diagnosis. We administered a survey to a national convenience sample of 416 women who were 18–49 years of age at the time of their breast cancer diagnosis. We analyzed factors associated with financial decline using multivariate regression. Survivors 18–39 years of age at first diagnosis were more likely to report Stage II–IV breast cancer (P<0.01). They also quit their jobs more often (14.6%) than older survivors (4.4%; P<0.01) and faced more job performance issues (55.7% and 42.8%, respectively; P=0.02). For respondents in both groups, financial decline was more likely if the survivor had at least one comorbid condition (odds ratios: 2.36–3.21) or was diagnosed at Stage II–IV breast cancer (odds ratios: 2.04–3.51).
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Floyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, październik 1996. http://dx.doi.org/10.21236/ada325798.

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Floyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, październik 2000. http://dx.doi.org/10.21236/ada392958.

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Floyd, Carey E. Computer Aided Breast Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, październik 1999. http://dx.doi.org/10.21236/ada383108.

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Getty, David J. Stereoscopic Digital Mammography: Improving Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1999. http://dx.doi.org/10.21236/ada374785.

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Getty, David J. Stereoscopic Digital Mammography: Improving Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1997. http://dx.doi.org/10.21236/ada329238.

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Getty, David J. Stereoscopic Digital Mammography: Improving Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1998. http://dx.doi.org/10.21236/ada353242.

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Getty, David J. Stereoscopic Digital Mammography: Improving Cancer Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2000. http://dx.doi.org/10.21236/ada391166.

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Huang, Shuang. Identifying Early Diagnosis Markers of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2005. http://dx.doi.org/10.21236/ada442717.

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