Computerized image analysis of tumor cell nuclear morphology can improve patient selection for clinical trials in localized clear cell renal cell carcinoma

Computerized image analysis of tumor cell nuclear morphology can improve patient selection for clinical trials in localized clear cell renal cell carcinoma

Background: Clinicopathological scores are used to predict the likelihood of recurrence-free survival for patients with clear cell renal cell carcinoma (ccRCC) after surgery. These are fallible, particularly in the middle range. This inevitably means that a significant proportion of ccRCC patients w...

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Bibliographic Details
Main Authors: In Hwa Um, Lindesay Scott-Hayward, Monique Mackenzie, Puay Hoon Tan, Ravindran Kanesvaran, Yukti Choudhury, Peter D Caie, Min-Han Tan, Marie O'Donnell, Steve Leung, Grant D Stewart, David J Harrison
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Pathology Informatics
Subjects:
clear cell renal cell carcinoma
computational image analysis
leibovich score
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=35;epage=35;aulast=Um

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=35;epage=35;aulast=Um

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