Related Experiment Video
Updated: Jun 1, 2026

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer
Published on: February 12, 2022
Rectal cancer: primary staging and assessment after chemoradiotherapy
Jessica Evans1, Uday Patel, Gina Brown
1Royal Marsden Hospital, Surrey, England.
Abstract:
Rectal cancer staging is based on 2 principles. The first is an anatomic definition of the tumor allowing for surgical planning. The second is prognostic stage grouping. A given prognostic stage carries different risks of both local and distant recurrence, a selective and tailored approach to preoperative therapy is appropriate. Increasingly, selective approaches enable an overall reduction in morbidity from overtreatment, while allowing aggressive treatment of high-risk patients. Therefore, the aim of preoperative staging is to accurately and reproducibly differentiate between good and poor prognosis tumors. In the preoperative setting, superficial and flat rectal cancers are probably best initially staged using endoscopic ultrasound, and where available magnetic resonance imaging is used for all other rectal cancers because of its proven high sensitivity and specificity in identifying poor-risk patients based on circumferential margin status, the depth of extramural spread, extramural venous invasion, and nodal status. Restaging after neoadjuvant therapy is a challenge to all modalities because of radiation-induced changes, namely fibrosis, edema, inflammation, and necrosis. However, emerging data suggest that reassessment using a combination of high-resolution magnetic resonance imaging, diffusion-weighted imaging, and positron emission tomography/computed tomography scanning may help to provide valuable prognostic information before definitive surgery.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025