Machine Learning-Based Prediction of Responsiveness to Neoadjuvant Chemoradiotheapy in Locally Advanced Rectal Cancer Patients from Endomicroscopy

• Published in: Critical reviews in oncogenesis Vol. 29; no. 2; p. 53
• Main Authors: Sabino, Alan U, Safatle-Ribeiro, Adriana V, Lima, Suzylaine S, Marques, Carlos F S, Maluf-Filho, Fauze, Ramos, Alexandre F
• Format: Journal Article
• Language: English
• Published: United States 2024
• Subjects: Colonoscopy - methods; Colorectal Neoplasms - diagnosis; Humans; Microscopy, Confocal - methods; Neoadjuvant Therapy; Neoplasms, Second Primary; Rectal Neoplasms - diagnostic imaging; Rectal Neoplasms - therapy

The protocol for treating locally advanced rectal cancer consists of the application of chemoradiotherapy (neoCRT) followed by surgical intervention. One issue for clinical oncologists is predicting the efficacy of neoCRT in order to adjust the dosage and avoid treatment toxicity in cases when surge...