Development and Internal Validation of a Side-Specific Nomogram Integrating mpMRI and Biopsy Features to Guide Nerve-Sparing Decision Making in Prostate Cancer with Capsular Contact

Background: Preoperative side-specific identification of extracapsular extension (ECE) is important for selecting an appropriate nerve-sparing strategy at radical prostatectomy. Patients with multiparametric magnetic resonance imaging (mpMRI)-defined capsular contact represent a clinically challenging subgroup because contact raises concern for ECE but does not uniformly indicate extraprostatic disease. We aimed to develop a side-specific nomogram for individualized ECE prediction and perform preliminary internal validation in this selected population. Materials and Methods: We retrospectively analyzed 323 prostate lobes from 286 patients with biopsy-proven, non-metastatic prostate cancer and mpMRI-defined capsular contact who underwent robot-assisted radical prostatectomy between 2015 and 2021 at a single institution. The dataset was randomly split into training (70%) and testing (30%) cohorts. Three multivariable logistic-regression models were developed and compared. Discrimination was assessed using the area under the receiver operating characteristic curve (AUC-ROC), calibration by intercept and slope, and clinical utility by decision curve analysis. A nomogram was derived from the best-performing model in the internal split-sample comparison. Results: Side-specific ECE was present in 110/323 lobes (34.1%). Among the candidate models, the forward-selection model showed the most favorable apparent performance, with an AUC-ROC of 0.85 in training and 0.83 in testing, together with good test-set calibration (intercept 0.24; slope 0.97). The final model included a capsular contact length ≥10 mm, percentage tumor involvement in positive biopsy cores, number of positive biopsy cores, and index lesion size. At a 10% predicted risk threshold, 32% of lobes were classified as low risk, with an observed ECE rate of about 5%. Conclusions: We developed a side-specific nomogram tailored to patients with mpMRI-defined capsular contact and performed preliminary internal validation. The model may aid preoperative side-specific risk assessment relevant to nerve-sparing planning, but external validation and assessment of clinical impact are required before clinical adoption.

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Journal
Cancers
Published
2026-05-29
DOI
https://doi.org/10.3390/cancers18111788
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
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article

Development and Internal Validation of a Side-Specific Nomogram Integrating mpMRI and Biopsy Features to Guide Nerve-Sparing Decision Making in Prostate Cancer with Capsular Contact

Pirmin Wolfsgruber, Kateryna Diahovets, Manuel Walter, Rainer Grobholz et al.
Cancers
Prostate Cancer Diagnosis and Treatment
article

Development and Internal Validation of a Side-Specific Nomogram Integrating mpMRI and Biopsy Features to Guide Nerve-Sparing Decision Making in Prostate Cancer with Capsular Contact

Pirmin Wolfsgruber, Kateryna Diahovets, Manuel Walter, Rainer Grobholz, Livio Nowak, Tician Schnitzler, Alexander Cornelius, Stephen Wyler, Luca Afferi, Lea Seiler, Yusuf Ahmed, Lukas Prause, Georg Müller, Marco Cattaneo, Fiona Burkhard, Maciej Kwiatkowski
article en

Abstract

Background: Preoperative side-specific identification of extracapsular extension (ECE) is important for selecting an appropriate nerve-sparing strategy at radical prostatectomy. Patients with multiparametric magnetic resonance imaging (mpMRI)-defined capsular contact represent a clinically challenging subgroup because contact raises concern for ECE but does not uniformly indicate extraprostatic disease. We aimed to develop a side-specific nomogram for individualized ECE prediction and perform preliminary internal validation in this selected population. Materials and Methods: We retrospectively analyzed 323 prostate lobes from 286 patients with biopsy-proven, non-metastatic prostate cancer and mpMRI-defined capsular contact who underwent robot-assisted radical prostatectomy between 2015 and 2021 at a single institution. The dataset was randomly split into training (70%) and testing (30%) cohorts. Three multivariable logistic-regression models were developed and compared. Discrimination was assessed using the area under the receiver operating characteristic curve (AUC-ROC), calibration by intercept and slope, and clinical utility by decision curve analysis. A nomogram was derived from the best-performing model in the internal split-sample comparison. Results: Side-specific ECE was present in 110/323 lobes (34.1%). Among the candidate models, the forward-selection model showed the most favorable apparent performance, with an AUC-ROC of 0.85 in training and 0.83 in testing, together with good test-set calibration (intercept 0.24; slope 0.97). The final model included a capsular contact length ≥10 mm, percentage tumor involvement in positive biopsy cores, number of positive biopsy cores, and index lesion size. At a 10% predicted risk threshold, 32% of lobes were classified as low risk, with an observed ECE rate of about 5%. Conclusions: We developed a side-specific nomogram tailored to patients with mpMRI-defined capsular contact and performed preliminary internal validation. The model may aid preoperative side-specific risk assessment relevant to nerve-sparing planning, but external validation and assessment of clinical impact are required before clinical adoption.

CancersVol. 18(11)
Free University of Bozen-Bolzano (IT), University of Basel (CH), University of Zurich (CH), Spital STS (CH), Klinikum Braunschweig (DE), Department of Biomedicine Basel (CH), Kantonsspital Aarau (CH)
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Prostate Cancer Diagnosis and Treatment
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