Related Experiment Video
Updated: Oct 10, 2025

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer
Published on: February 12, 2022
Learning curve analysis for lateral pelvic lymph node dissection in rectal cancers - Outcomes improve with experience
Vivek Sukumar1, Mufaddal Kazi1, Jayesh Gori1
1Division of Colorectal Surgery, Department of Surgical Oncology, Tata Memorial Hospital and Homi Bhabha National Institute, Mumbai, Maharashtra, 400012, India.
The learning curve for lateral pelvic lymph node dissection (LPLND) in rectal cancer is lengthy. Increasing surgical experience and adopting minimally invasive surgery (MIS) significantly improve lymph node yield, crucial for oncological outcomes.
Area of Science:
- Surgical Oncology
- Rectal Cancer Treatment
- Minimally Invasive Surgery
Background:
- Lateral pelvic lymph node dissection (LPLND) is a complex procedure for rectal cancer.
- The learning curve and factors influencing its success, particularly nodal yield, require detailed analysis.
Purpose of the Study:
- To determine the learning curve for LPLND in rectal cancer patients.
- To assess nodal retrieval as a key performance indicator for LPLND proficiency.
Main Methods:
- Retrospective analysis of consecutive LPLND procedures for rectal adenocarcinomas.
- Utilized cumulative sum (CUSUM) control charts to monitor lymph node yield.
- Negative binomial regression identified factors influencing nodal harvest.
Main Results:
- A median of 6 lymph nodes were retrieved, with 20% positivity.
- Increasing surgical experience and minimally invasive surgery (MIS) were significant factors for higher nodal yield.
- The learning curve plateaued after 83 cases overall and 19 MIS cases, with a 20% yield increase per 30 MIS LPLND.
Conclusions:
- The learning curve for LPLND is substantial.
- Surgical experience and the adoption of MIS are critical for optimizing nodal yield in LPLND for rectal cancer.
More Related Videos
08:26Clinical Application of Single-Surgeon, Three-Port, Laparoscopic Resection for Colorectal Cancer with Natural Orifice Specimen Extraction
Published on: March 24, 2023
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