Academic literature on the topic 'LI-RADS'

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Journal articles on the topic "LI-RADS"

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Renzulli, Matteo, Alfredo Clemente, Stefano Brocchi, Matteo Milandri, Vincenzo Lucidi, Ranka Vukotic, Salvatore Cappabianca, and Rita Golfieri. "LI-RADS." European Journal of Gastroenterology & Hepatology 31, no. 3 (March 2019): 283–88. http://dx.doi.org/10.1097/meg.0000000000001269.

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Santillan, Cynthia S., An Tang, Irene Cruite, Amol Shah, and Claude B. Sirlin. "Understanding LI-RADS." Magnetic Resonance Imaging Clinics of North America 22, no. 3 (August 2014): 337–52. http://dx.doi.org/10.1016/j.mric.2014.04.007.

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Rodgers, Shuchi K., David T. Fetzer, Helena Gabriel, James H. Seow, Hailey H. Choi, Katherine E. Maturen, Ashish P. Wasnik, et al. "Role of US LI-RADS in the LI-RADS Algorithm." RadioGraphics 39, no. 3 (May 2019): 690–708. http://dx.doi.org/10.1148/rg.2019180158.

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Liu, Weimin, Jie Qin, Ruomi Guo, Sidong Xie, Hang Jiang, Xiaohong Wang, Zhuang Kang, Jin Wang, and Hong Shan. "Accuracy of the diagnostic evaluation of hepatocellular carcinoma with LI-RADS." Acta Radiologica 59, no. 2 (June 26, 2017): 140–46. http://dx.doi.org/10.1177/0284185117716700.

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Background There are few studies about the Liver Imaging Reporting and Data System (LI-RADS), which was developed with the purpose of standardizing the interpretation and reporting of liver imaging examinations in patients at risk for hepatocellular carcinoma (HCC). Purpose To evaluate the diagnostic accuracy of HCC diagnosis using LI-RADS. Material and Methods The computed tomography (CT), magnetic resonance imaging (MRI), and clinical data of 297 lesions in 249 patients between June 2012 and August 2013 were retrospectively analyzed. Using LI-RADS 2014, two radiologists evaluated the lesions and a LI-RADS category was retrospectively assigned to each nodule. Results The final diagnoses of 297 nodules in 249 patients consisted of 191 malignant and 106 benign lesions. Out of 44 LI-RADS category 1 lesions, none were HCCs. However, 2/25 category 2 lesions, 3/35 category 3 lesions, 16/25 category 4 lesions, 151/156 category 5 lesions, and 3/12 category LRM/OM (probable malignancy, not specific for HCC/other malignancy) lesions were HCCs. The Kappa value was 0.44 (95% confidence interval [CI] = 0.39–0.49) between two observers during LI-RADS grading. Conclusion The negative predictive value of LI-RADS category 1 was 100%. In addition, a relevant proportion of lesions categorized as category 2 or 3, or even as other malignancies, were HCCs. LI-RADS category 5 had a high specificity for HCC. LI-RADS was not able to give a differential diagnosis for the false-positive lesions of LI-RADS category 5.
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Garcia Belen, Mendoza, and Contreras Vazquez Constantino. "ASOCIACION DE LA CLASIFICACION LI-RADS 2018 CON LOS HALLAZGOS HISTOPATOLOGICOS DE CARCINOMA HEPATOCELULAR, EN EL CENTRO MEDICO NAVAL, PERIODO: ENERO 2016 - DICIEMBRE 2020." International Journal of Advanced Research 9, no. 07 (July 31, 2021): 612–23. http://dx.doi.org/10.21474/ijar01/13163.

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The LI-RADS Classification is an interpretation and reporting system to classify focal alterations of the liver with the risk of developing Hepatocellular Carcinoma, using a series of major criteria in Computed Tomography and Magnetic Resonance These findings can be classified into 5 categories.The objective of this thesis is to identify if there is an association between the LI-RADS 2018 classification and the histopathological results of patients with Hepatocellular Carcinoma from the Naval Medical Center. Materials And Methods:An observational, descriptive, cross-sectional, retrospective study was carried out from January 2016 to December 2020. In this study, 35 patients with a diagnosis of Hepatocellular Carcinoma were analyzed, who underwent Computed Tomography or Abdomino-pelvic Magnetic Resonance , to associate said pathology with imaging findings, complying with the most characteristic major criteria that allow staging in the LI-RADS 2018 System. Results:Of the 35 patients, 57% were women (n = 20), 43% were men (n = 15). Of the total number of patients, 80% were Beneficiaries and the method of obtaining the sample for all patients was closed biopsy with a percutaneous needle. The distribution of the 2018 LI-RADS scale in all patients with liver biopsy was: LI-RADS 1 n = 8 (22.8%), LI-RADS 2 n = 5 (14.2%), LI-RADS 3 n = 12 (34.2%), LI-RADS 4 n = 3 (8.5%), LI-RADS 5 n = 7 (20%). It was found that the LI-RADS 5 category obtained a value of p = 0.001, with a specificity of 100%, a sensitivity of 70%, a PPV of 100% and a NPV of 89%, with an incidence of 20%. Conclusions:This study shows, through the results obtained, that there is a positive association between the LI-RADS 2018 classification of the ACR and the histopathological findings of Hepatocellular Carcinoma.
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Centonze, Leonardo, Riccardo De Carlis, Ivan Vella, Luca Carbonaro, Niccolò Incarbone, Livia Palmieri, Cristiano Sgrazzutti, et al. "From LI-RADS Classification to HCC Pathology: A Retrospective Single-Institution Analysis of Clinico-Pathological Features Affecting Oncological Outcomes after Curative Surgery." Diagnostics 12, no. 1 (January 10, 2022): 160. http://dx.doi.org/10.3390/diagnostics12010160.

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Background: The latest Liver Imaging Reporting and Data System (LI-RADS) classification by the American College of Radiology has been recently endorsed in the American Association for the Study of Liver Disease (AASLD) guidelines for Hepatocellular carcinoma (HCC) management. Although the LI-RADS protocol has been developed as a diagnostic algorithm, there is some evidence concerning a possible correlation between different LI-RADS classes and specific pathological features of HCC. We aimed to investigate such radiological/pathological correlation and the possible prognostic implication of LI-RADS on a retrospective cohort of HCC patients undergoing surgical resection. Methods: We performed a retrospective analysis of the pathological characteristics of resected HCC, exploring their distribution among different LI-RADS classes and analyzing the risk factors for recurrence-free, overall and cancer-specific survival Results: LI-RADS-5 (LR-5) nodules showed a higher prevalence of microvascular invasion (MVI), satellitosis and capsule infiltration, as well as higher median values of alpha-fetoprotein (αFP) compared to LI-RADS-3/4 (LR-3/4) nodules. MVI, αFP, satellitosis and margin-positive (R1) resection resulted as independent risk factors for recurrence-free survival, while LI-RADS class did not exert any significant impact. Focusing on overall survival, we identified patient age, Eastern Cooperative Oncology Group performance status (ECOG-PS), Model for End Stage Liver Disease (MELD) score, αFP, MVI, satellitosis and R1 resection as independent risk factors for survival, without any impact of LI-RADS classification. Last, MELD score, log10αFP, satellitosis and R1 resection resulted as independent risk factors for cancer-specific survival, while LI-RADS class did not exert any significant impact. Conclusions: Our results suggest an association of LR-5 class with unfavorable pathological characteristics of resected HCC; tumor histology and underlying patient characteristics such as age, ECOG-PS and liver disease severity exert a significant impact on postoperative oncological outcomes.
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Chernyak, Victoria, and Claude B. Sirlin. "LI‐RADS: Future Directions." Clinical Liver Disease 17, no. 3 (March 2021): 149–53. http://dx.doi.org/10.1002/cld.1034.

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Narsinh, Kazim H., Jennifer Cui, Demetri Papadatos, Claude B. Sirlin, and Cynthia S. Santillan. "Hepatocarcinogenesis and LI-RADS." Abdominal Radiology 43, no. 1 (December 5, 2017): 158–68. http://dx.doi.org/10.1007/s00261-017-1409-8.

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Papadatos, Demetrios, Kathryn J. Fowler, Ania Z. Kielar, Jennifer Cui, and Claude B. Sirlin. "Cirrhosis and LI-RADS." Abdominal Radiology 43, no. 1 (December 7, 2017): 26–40. http://dx.doi.org/10.1007/s00261-017-1425-8.

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An, Julie Y., Kyle M. L. Unsdorfer, and Jeffrey C. Weinreb. "BI-RADS, C-RADS, CAD-RADS, LI-RADS, Lung-RADS, NI-RADS, O-RADS, PI-RADS, TI-RADS: Reporting and Data Systems." RadioGraphics 39, no. 5 (September 2019): 1435–36. http://dx.doi.org/10.1148/rg.2019190087.

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Book chapters on the topic "LI-RADS"

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Chen, Mingzhong, Lanfen Lin, Qingqing Chen, Hongjie Hu, Qiaowei Zhang, Yingying Xu, and Yen-Wei Chen. "Computerized Features for LI-RADS Based Computer-Aided Diagnosis of Liver Lesions." In Innovation in Medicine and Healthcare 2017, 146–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59397-5_16.

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"10 Hepatocellular Carcinoma: LI-RADS and OPTN." In Radiology Structured Reporting Handbook, edited by Olga R. Brook and Wieland H. Sommer. New York, NY: Thieme Medical Publishers, Inc., 2021. http://dx.doi.org/10.1055/b-0041-181997.

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GUIMARÃES, Vinícius Henrique Almeida, Carolina CASSIANO, Henrique Amorim SANTOS, Amanda Karolyne BATISTA, Isabella Amorim SANTOS, and Anderson Lubito De SIMONI. "A CONTRIBUIÇÃO DA CIRURGIA ENDOVASCULAR NA ONCOLOGIA: RELATO DE CASO DE PACIENTE COM NÓDULO HEPÁTICO LI-RADS 4 QUE OPTOU PELO PROCEDIMENTO MENOS INVASIVO." In AMPLAMENTE: PESQUISA EM SAÚDE, 13–15. Amplamente Cursos, 2020. http://dx.doi.org/10.29327/516302.1-1.

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Guimarães, Vinícius Henrique Almeida, Carolina Cassiano, Henrique Amorim Santos, Amanda Karolyne Batista, Isabella Amorim Santos, and Anderson Lubito de Simoni. "A CONTRIBUIÇÃO DA CIRURGIA ENDOVASCULAR NA ONCOLOGIA: RELATO DE CASO DE PACIENTE COM NÓDULO HEPÁTICO LI-RADS 4 QUE OPTOU PELO PROCEDIMENTO MENOS INVASIVO." In AMPLAMENTE: PESQUISA EM SAÚDE, 16–18. Amplamente Cursos e Formação Continuada, 2020. http://dx.doi.org/10.47538/ac-2020.07-01.

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Conference papers on the topic "LI-RADS"

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Schellhaas, B., M. Hammon, D. Strobel, L. Pfeifer, C. Kielisch, RS Goertz, A. Cavallaro, et al. "Interobserver- und Verfahrens-Übereinstimmung für standardisierte Diagnose-Algorithmen für das Heptozelluläre Karzinom (HCC) bei Hochrisikopatienten – CEUS-LI-RADS© versus MRT-LI-RADS©." In Interdisziplinärer Kongress | Ultraschall 2018 – 42. Dreiländertreffen SGUM | DEGUM | ÖGUM. Georg Thieme Verlag KG, 2018. http://dx.doi.org/10.1055/s-0038-1670437.

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Taylor, Nicola, Mandy Turner, Cara List, Hazel Allen, James Franklin, Earl Williams, Jo Tod, and Safa Al-Shamma. "PWE-21 Hepatocellular carcinoma surveillance: ultrasound image quality and implementation of the US LI-RADS classification." In Abstracts of the BSG Annual Meeting, 8–12 November 2021. BMJ Publishing Group Ltd and British Society of Gastroenterology, 2021. http://dx.doi.org/10.1136/gutjnl-2021-bsg.211.

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Schellhaas, B., RS Goertz, L. Pfeifer, C. Kielisch, MF Neurath, and D. Strobel. "Diagnostische Genauigkeit des kontrastverstärkten Ultraschalls (CEUS) in der Differenzialdiagnose des hepatozellulären Karzinoms – ESCULAP versus CEUS LI-RADS." In Viszeralmedizin 2017. Georg Thieme Verlag KG, 2017. http://dx.doi.org/10.1055/s-0037-1605266.

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Schellhaas, B., L. Pfeifer, R. Görtz, M. Neurath, and D. Strobel. "CEUS-basierte Algorithmen für die Diagnose des hepatozellulären Karzinoms bei Risikopatienten – ESCULAP versus ACR CEUS-LI-RADS." In Ultraschall 2017. Georg Thieme Verlag KG, 2017. http://dx.doi.org/10.1055/s-0037-1606924.

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Reports on the topic "LI-RADS"

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Jin, Hongyu, and Man Zhang. LR-5 by LI-RADS under contrast enhanced ultrasonography manifests satisfactory diagnostic performance for hepatocellular carcinoma: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0011.

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Review question / Objective: To evaluate the relative diagnostic sensitivity, specificity, and accuracy of LR-5 under contrast-enhanced ultrasonography (CEUS) LI-RADS system in the differential diagnosis of hepatocellular carcinoma (HCC). Information sources: A comprehensive and thorough search of literature was carried out through internationally acknowledged medical literature resources database, including PubMed/MEDLINE, EMBASE, Ovid, and Web of Science along with regional databases with key research words of (“hepatocellular carcinoma” OR “liver cancer” OR “liver tumor” OR “liver nodule” OR “liver mass” OR “liver lesion”) AND (“contrast-enhanced US” OR “contrast-enhanced ultrasonography” OR “contrast-enhanced ultrasound” OR “CEUS”) AND (“LI-RADS” OR “liver reporting and data system”) for studies published between January 2017 and June 2021. We limited the language used in the literature as English only.
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Li, Lingling, Yixin Hu, and Jianhua Zhou. Diagnostic performance of CEUS LI-RADS for differentiating HCC and other non-HCC malignancies:a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2020. http://dx.doi.org/10.37766/inplasy2020.6.0077.

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