MRI‐Determined Tumor Contact Area as a Predictor of Pathological Extraprostatic Extension in Clinical T2 Prostate Cancer
Open Access
- 1 January 2025
- journal article
- Published by Wiley in Prostate Cancer
- Vol. 2025 (1)
Abstract
Objectives: To assess the validity of magnetic resonance imaging‐determined tumor contact area (MRI‐TCA) as a predictive factor for pathological extraprostatic extension (EPE) in cT2N0M0 prostate cancer patients. Methods: We retrospectively analyzed 72 cT2N0M0 prostate cancer patients who underwent multiparametric MRI (mpMRI) followed by robot‐assisted laparoscopic prostatectomy (RARP) between February 2014 and April 2021. Patients whose MRI‐based index lesion did not match the pathological specimens were excluded. MRI‐TCA was approximated using an elliptical shape and calculated by two different methods: MRI‐TCA1: Calculated using the tumor contact length (TCL) in the axial plane and the longer TCL in either the sagittal or coronal plane, capturing tumor dimensions across two planes. MRI‐TCA2: Calculated using the TCL in the axial plane and tumor thickness derived from MRI slice data, reflecting the tumor’s contact area within the MRI volume. We compared postoperative prostate‐specific antigen (PSA) recurrence‐free survival by stratifying patients based on the optimal thresholds of MRI‐TCL, MRI‐TCA1, MRI‐TCA2, pathological‐TCL, and pathological‐TCA. Results: Sixteen patients (22.2%) were pathologically positive for EPE. MRI‐TCL, MRI‐TCA1, and MRI‐TCA2 were significantly greater in patients with EPE‐positive (EPE+) tumors than in those with EPE‐negative (EPE−) tumors ( p < 0.0001, p < 0.0001, and p = 0.0026, respectively). No statistically significant differences were found between MRI‐TCL and MRI‐TCA1 ( p = 0.914) or between MRI‐TCL and MRI‐TCA2 ( p = 0.112) in predicting pathological EPE. A significant difference in postoperative PSA recurrence rate was observed in the stratified analysis based on pathological‐TCA ( p = 0.022). Conclusion: Both MRI‐TCA1 and MRI‐TCA2 are clinically accessible and effective parameters for predicting pathological EPE in cT2N0M0 prostate cancer patients. However, neither method demonstrated clear superiority over MRI‐TCL. Pathological‐TCA was shown to be a significant predictor of both pathological EPE and postoperative PSA recurrence.Keywords
All Related Versions
This publication has 16 references indexed in Scilit:
- 3D-Reconstructed Contact Surface Area and Tumour Volume on Magnetic Resonance Imaging Improve the Prediction of Extraprostatic Extension of Prostate CancerJournal of Digital Imaging, 2022
- Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomesEuropean Radiology, 2020
- Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2European Urology, 2019
- Index tumor volume on MRI as a predictor of clinical and pathologic outcomes following radical prostatectomyInternational Urology and Nephrology, 2019
- Defining the incremental value of 3D T2-weighted imaging in the assessment of prostate cancer extracapsular extensionEuropean Radiology, 2019
- A prospective study evaluating indirect MRI-signs for the prediction of extraprostatic disease in patients with prostate cancer: tumor volume, tumor contact length and tumor apparent diffusion coefficientWorld Journal of Urology, 2018
- Evaluation of apparent diffusion coefficient and MR volumetry as independent associative factors for extra‐prostatic extension (EPE) in prostatic carcinomaJournal of Magnetic Resonance Imaging, 2015
- Performance Comparison of 1.5-T Endorectal Coil MRI with 3.0-T Nonendorectal Coil MRI in Patients with Prostate CancerAcademic Radiology, 2015
- The Impact of Clinical Stage on Prostate Cancer Survival Following Radical ProstatectomyJournal of Urology, 2013
- Localized prostate cancer. Relationship of tumor volume to clinical significance for treatment of prostate cancerCancer, 1993