Mariluz Rojo Domingo, Anna Dornisch, Christopher C Conlin, Aditya Bagrodia, Tristan Barrett, Matthew Cooperberg, Juan Javier Desloges, Deondre D Do, Son Do, Michael E Hahn, Mukesh Harisinghani, Gary Hollenberg, Karoline Kallis, Christopher J Kane, Joshua Kim, Kang-Lung Lee, Jonathan Levine, Michael A Liss, Jasmine Liu, Nabih Nakrour, Thomas Osinski, Christopher Pare, Rebecca Rakow-Penner, Rhea Rupareliya, Amirali Salmasi, Jeffry Simko, Yuze Song, Nikita Sushentev, Eric Weinberg, Sean Woolen, Anders M Dale, Ahmed S Shabaik, Tyler M Seibert
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引用次数: 0
Abstract
Background and objective: Detecting localized prostate cancer (PC) with metastatic potential-defined as unfavorable-histology PC (uhPC), comprising Grade Group (GG) ≥3 disease or GG 2 disease with cribriform/intraductal features-is critical for guiding appropriate intervention. We evaluated the utility of the Prostate Imaging Reporting and Data System (PI-RADS) and the automated Restriction Spectrum Imaging restriction score (RSIrs; a biophysics-based quantitative MRI biomarker) for uhPC detection and localization.
Methods: We evaluated patient-level detection of uhPC in a multicenter cohort with biopsy as the reference standard and lesion-level localization in a separate cohort with whole-mount histopathology (WMHP) from radical prostatectomy. The area under the receiver operating characteristic curve (AUC) was calculated to compare patient-level detection of uhPC using PI-RADS and RSIrs. PI-RADS and RSIrs were used to evaluate sensitivity for the most aggressive tumor within the prostate (index tumor) and for all uhPC tumors on WMHP.
Key findings and limitations: The AUC for patient-level detection of uhPC did not differ significantly between PI-RADS and RSIrs in 1022 patients from five centers (p = 0.13). At the lesion level (n = 103 patients), sensitivity for the index tumor was 87% (95% confidence intervals [CI], 79-94) for PI-RADS, 85% (95% CI, 78-93) for RSIrs, and 93% (95% CI, 86-98) for the two combined. For all uhPC tumors, sensitivity was 81% (95% CI, 73-90) for PI-RADS, 86% (95% CI, 78-93) for RSIrs, and 90% (95% CI, 82-97) for the two combined. A limitation of the lesion-level analyses was that only patients who opted for surgery could be included.
Conclusions and clinical implications: MRI showed high sensitivity for detecting uhPC, reinforcing its value for identifying biologically aggressive disease. Both PI-RADS and automated RSIrs may be useful for targeted biopsy and tumor-focused treatment, such as focal radiation dose escalation to aggressive intraprostatic lesions.
期刊介绍:
Journal Name: European Urology Oncology
Affiliation: Official Journal of the European Association of Urology
Focus:
First official publication of the EAU fully devoted to the study of genitourinary malignancies
Aims to deliver high-quality research
Content:
Includes original articles, opinion piece editorials, and invited reviews
Covers clinical, basic, and translational research
Publication Frequency: Six times a year in electronic format