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Quantitative Pathologic Analysis of Digitized Images of Colorectal Carcinoma Improves Prediction of Recurrence-Free Survival

Reetesh K. Pai, Imon Banerjee, Sameer Shivji, Suchit Jain, Douglas J. Hartman, Daniel D. Buchanan, Mark A. Jenkins, David F. Schaeffer, Christophe Rosty, Julia Como, Amanda I. Phipps, Polly A. Newcomb, Andrea N. Burnett‐Hartman, Loı̈c Le Marchand, N. Jewel Samadder, Bhavik Anil Patel, Carol J. Swallow, Noralane M. Lindor, Steven Gallinger, Robert C. Grant, Thomas Westerling, James Conner, David P. Cyr, Richard Kirsch, Rish K. Pai

2022Gastroenterology40 citationsDOIOpen Access PDF

Topics & Concepts

MedicinePerineural invasionInternal medicineHazard ratioColorectal cancerCohortConfidence intervalProportional hazards modelH&E stainStage (stratigraphy)OncologyTumor buddingLymphovascular invasionGastroenterologyKRASPathologyCancerImmunohistochemistryMetastasisLymph node metastasisPaleontologyBiologyColorectal Cancer Surgical TreatmentsAI in cancer detectionColorectal Cancer Screening and Detection
Quantitative Pathologic Analysis of Digitized Images of Colorectal Carcinoma Improves Prediction of Recurrence-Free Survival | Litcius