Related Experiment Video
Updated: Oct 21, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Distal spread and tumor regression patterns following preoperative chemoradiotherapy in rectal cancer patients
İlter Özer1, Neslihan İnci Zengin2, Hacı Murat Çaycı3
1Department of Gastroenterological Surgery, Eskişehir Osmangazi University, Faculty of Medicine, Eskişehir, Turkey.
Background/Aim/Aim:
This study aimed to evaluate the regression pattern with the distal intramural spread (DIS) of rectum cancer after preoperative chemoradiation.
Materials And Methods:
Specimens from 56 patients who underwent radical resection after preoperative chemoradiation for rectal cancer were examined. The regression pattern (total, fragmented) of the tumor was recorded. DIS status was evaluated by creating sections 0.2 to 0.3 cm thick.
Results:
A single macroscopic residual area was detected in all specimens. In 10 patients (17.8 %), pathologically complete responses were identified, and DIS was detected in 33 patients (58.9%). The average DIS distance was 0.56± 0.3 cm (range 0.2 – 1.8 cm); the spread was < 1 cm in 87.9% of the patients (29/33). The overall survival rates for 5 and 7 years were 76.8% and 73.2%, respectively. The survival rates between patients with and without DIS were not statistically different (94.6± 5.5 vs. 75.1 ± 10.2 months, respectively). In all of the patients, tumor regression pattern was total shrinkage of the tumor.
Conclusion:
A sufficient distal resection margin for rectal cancer after preoperative chemoradiation is 1 cm in the vast majority of cases. However, DIS may exceed 1 cm in a small proportion of patients.
More Related Videos
12:45Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer
Published on: February 12, 2022
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