Stromal cell ratio based on automated image analysis as a predictor for platinum-resistant recurrent ovarian cancer
BMC Cancer Feb 24, 2019
Lan C, et al. – Using automated image analysis of hematoxylin & eosin (H&E) stained sections, researchers assessed the relationship between microenvironmental composition and platinum-resistant recurrent ovarian cancer in 91 patients with ovarian cancer. From these patients, they reviewed data of automated image analysis for H&E histological sections. In all, 71 patients had recurrent disease. The negative predictors of platinum-resistant relapse were elevated CA125 level after three cycles of chemotherapy and high stromal cell ratio. The area under the curve (AUC) of receiver operating characteristic (ROC) curves of the models for predicting platinum-resistant recurrence with stromal cell ratio, normalization of CA125 level, and the combination of two parameters were 0.78, 0.79, and 0.89 respectively. According to findings, stromal cell ratio could potentially predict a high risk of platinum-resistant recurrence and—together with normalization of CA125 level after three cycles of chemotherapy—may improve the predictive value of model.
-
Exclusive Write-ups & Webinars by KOLs
-
Daily Quiz by specialty
-
Paid Market Research Surveys
-
Case discussions, News & Journals' summaries