Side-specific, Microultrasound-based Nomogram for the Prediction of Extracapsular Extension in Prostate Cancer

被引:9
|
作者
Pedraza, Adriana M. [1 ]
Parekh, Sneha [1 ]
Joshi, Himanshu [1 ,2 ]
Grauer, Ralph [1 ]
Wagaskar, Vinayak [1 ]
Zuluaga, Laura [1 ]
Gupta, Raghav [1 ]
Barthe, Flora [1 ]
Nasri, Jordan [1 ]
Pandav, Krunal [1 ]
Patel, Dhruti [1 ]
Gorin, Michael A. [1 ]
Menon, Mani [1 ]
Tewari, Ashutosh K. [1 ]
机构
[1] Icahn Sch Med Mt Sinai, Dept Urol, New York, NY 10029 USA
[2] Icahn Sch Med Mt Sinai, Inst Healthcare Delivery Sci, Dept Populat Hlth Sci & Policy, New York, NY USA
来源
关键词
Prostate cancer; Extracapsular extension; Microultrasound; Multiparametric magnetic; resonance imaging; RADICAL PROSTATECTOMY; MICRO-ULTRASOUND; VALIDATION; AGREEMENT; DIAGNOSIS; ACCURACY;
D O I
10.1016/j.euros.2022.12.005
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: Prediction of extracapsular extension (ECE) is essential to achieve a balance between oncologic resection and neural tissue preservation. Microultrasound (MUS) is an attractive alternative to multiparametric magnetic resonance imaging (mpMRI) in the staging scenario.Objective: To create a side-specific nomogram integrating clinicopathologic param-eters and MUS findings to predict ipsilateral ECE and guide nerve sparing.Design, setting, and participants: Prospective data were collected from consecutive patients who underwent robotic-assisted radical prostatectomy from June 2021 to May 2022 and had preoperative MUS and mpMRI. A total of 391 patients and 612 lobes were included in the analysis.Outcome measurements and statistical analysis: ECE on surgical pathology was the pri-mary outcome. Multivariate regression analyses were carried out to identify pre-dictors for ECE. The resultant multivariable model's performance was visualized using the receiver-operating characteristic curve. A nomogram was developed based on the coefficients of the logit function for the MUS-based model. A decision curve analysis (DCA) was performed to assess clinical utility.Results and limitations: The areas under the receiver-operating characteristic curve (AUCs) of the MUS-based model were 81.4% and 80.9% (95% confidence interval [CI] 75.6, 84.6) after internal validation. The AUC of the mpMRI-model was also 80.9% (95% CI 77.2, 85.7). The DCA demonstrated the net clinical benefit of the MUS-based nomogram and its superiority compared with MUS and MRI alone for detecting ECE. Limitations of our study included its sample size and moderate inter-reader agreement. Conclusions: We developed a side-specific nomogram to predict ECE based on clin-icopathologic variables and MUS findings. Its performance was comparable with that of a mpMRI-based model. External validation and prospective trials are required to corroborate our results.Patient summary: The integration of clinical parameters and microultrasound can predict extracapsular extension with similar results to models based on magnetic resonance imaging findings. This can be useful for tailoring the preservation of nerves during surgery.(c) 2022 The Authors. Published by Elsevier B.V. on behalf of European Association of Urology. This is an open access article under the CC BY-NC-ND license (http://creative-commons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:72 / 81
页数:10
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