Detection and Localization of Unfavorable-histology Prostate Cancer Using MRI and Whole-mount Histopathology.

IF 8.5 1区 医学 Q1 ONCOLOGY
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.

MRI和全载组织病理学对不良组织学前列腺癌的检测和定位。
背景和目的:检测具有转移潜力的局限性前列腺癌(PC) -定义为不良组织学PC (uhPC),包括分级组(GG)≥3级疾病或具有筛状/导管内特征的GG 2级疾病-对于指导适当的干预至关重要。我们评估了前列腺成像报告和数据系统(PI-RADS)和自动限制光谱成像限制评分(RSIrs,一种基于生物物理学的定量MRI生物标志物)对uhPC检测和定位的效用。方法:我们在一个以活检作为参考标准的多中心队列中评估了患者水平的uhPC检测,并在根治性前列腺切除术后的全坐骨组织病理学(WMHP)的单独队列中评估了病变水平的定位。计算受试者工作特征曲线下面积(AUC),比较PI-RADS和RSIrs对患者水平uhPC的检测。PI-RADS和RSIrs用于评估前列腺内最具侵袭性肿瘤(指数肿瘤)和WMHP上所有uhPC肿瘤的敏感性。主要发现和局限性:在来自5个中心的1022例患者中,PI-RADS和RSIrs对患者水平uhPC检测的AUC无显著差异(p = 0.13)。在病变水平(n = 103例患者),PI-RADS对指标肿瘤的敏感性为87%(95%可信区间[CI], 79-94), RSIrs为85% (95% CI, 78-93),两者联合为93% (95% CI, 86-98)。对于所有uhPC肿瘤,PI-RADS的敏感性为81% (95% CI, 73-90), RSIrs的敏感性为86% (95% CI, 78-93),两者联合的敏感性为90% (95% CI, 82-97)。病变水平分析的一个局限性是只有选择手术的患者才能被纳入。结论和临床意义:MRI对uhPC的检测具有很高的敏感性,增强了其在识别生物侵袭性疾病方面的价值。PI-RADS和自动RSIrs都可用于靶向活检和肿瘤聚焦治疗,例如对侵袭性前列腺内病变的局灶辐射剂量增加。
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来源期刊
CiteScore
15.50
自引率
2.40%
发文量
128
审稿时长
20 days
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
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