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This retrospective study aimed to determine which MRI sequence provides the most accurate measurement of length of capsular contact (LCC) and maximum lesion radial distance (MaxRADD) for predicting EPE.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We included 63 patients who underwent radical prostatectomy for biopsy-confirmed PCa and had preoperative multiparametric MRI (mpMRI) from 2018 to 2020. Two radiologists measured LCC and MaxRADD on T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) maps, and dynamic contrast-enhanced (DCE) sequences. LCC was evaluated using 10\u00a0mm and 15\u00a0mm thresholds based on Prostate Imaging-Reporting and Data System (PI-RADS) and European Society of Urogenital Radiology (ESUR) guidelines. Histopathology was the reference standard. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      63 patients with 105 evaluable lesions were included. Significant differences were observed between the 10\u00a0mm and 15\u00a0mm LCC thresholds for predicting EPE. At 10\u00a0mm, DCE demonstrated the highest sensitivity (90.1%) and a 80.7% specificity. At 15\u00a0mm, DCE achieved higher specificity (94.7%) with 85% sensitivity. ROC analysis identified 14\u00a0mm on DCE as the optimal LCC threshold, reaching 90% sensitivity, 96.6% specificity (AUC:0.93). MaxRADD showed variable diagnostic performance, with the highest AUC on DCE (0.83), T2WI (0.80), DWI (0.78), and ADC (0.74), without significant differences. Combining LCC and MaxRADD slightly improved AUC (0.96 vs. 0.93 for LCC alone,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.270). MaxRADD performed best on DCE at an 11\u00a0mm threshold (sensitivity 65%, specificity 88.5%).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      DCE provides the highest diagnostic performance for predicting EPE using LCC measurements, with a 14\u00a0mm LCC and 11\u00a0mm MaxRADD threshold yielding the best overall accuracy. Combining LCC and MaxRADD numerically increased AUC (0.96 vs. 0.93), however without significant differences in EPE prediction (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.270).\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00261-026-05615-w","type":"journal-article","created":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T11:17:30Z","timestamp":1782299850000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimal MRI sequence for predicting extraprostatic extension in prostate cancer: comparison of LCC and MaxRADD measurements"],"prefix":"10.1007","author":[{"given":"Gorun","family":"Ilanjian","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jade","family":"Matthey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabio","family":"Por\u00f5es","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Massimo","family":"Valerio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrien","family":"Richemond","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julien","family":"Dagher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arnas","family":"Rakauskas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clarisse","family":"Dromain","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mario","family":"Jreige","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Na\u00efk","family":"Vietti-Violi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,24]]},"reference":[{"key":"5615_CR1","doi-asserted-by":"publisher","unstructured":"Richemond A, Peters M, Schaer S, Dagher J, La Rosa S, Matthey J, et al. 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