Related Experiment Video
Updated: Jun 16, 2026

06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Development and internal validation of a nomogram predicting extracapsular extension in radical prostatectomy
Naoya Satake1, Makoto Ohori, Changhong Yu
1Department of Urology, Tokyo Medical University, Tokyo, Japan.
Summary
A new nomogram accurately predicts extracapsular extension (ECE) in prostate cancer patients undergoing radical prostatectomy (RP). Combining clinical factors and biopsy data improves ECE prediction, aiding decisions on neurovascular bundle preservation.
Area of Science:
- Urology
- Oncology
- Pathology
Background:
- Extracapsular extension (ECE) is a critical factor in prostate cancer staging and treatment planning.
- Accurate prediction of side-specific ECE probability is essential for surgical decision-making, particularly regarding neurovascular bundle preservation during radical prostatectomy (RP).
Purpose of the Study:
- To develop and validate a nomogram for predicting the side-specific probability of ECE in radical prostatectomy specimens.
- To assess the predictive value of various clinical and pathological factors for ECE.
Main Methods:
- A cohort of 354 patients with T1c-T3a prostate cancer undergoing RP was analyzed.
- Receiver operating characteristic (ROC) analysis was used to evaluate predictive factors.
- Logistic regression analysis informed the development of the nomogram for side-specific ECE probability.
Main Results:
- Overall, 40% of patients and 23% of prostatectomy lobes showed ECE.
- The combination of serum PSA, clinical stage, and biopsy Gleason sum yielded an AUC of 0.773 for predicting ECE.
- Incorporating the maximum percentage of cancer in biopsy cores significantly enhanced predictive accuracy to an AUC of 0.799, with excellent internal validation and calibration.
Conclusions:
- Combining standard clinical factors (PSA, stage, Gleason score) with biopsy features (maximum cancer percentage) improves the prediction of ECE.
- The developed nomogram is a valuable tool to assist surgeons in deciding on neurovascular bundle preservation during RP.
