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Side-specific, Microultrasound-based Nomogram for the Prediction of Extracapsular Extension in Prostate Cancer
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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895764/ https://www.ncbi.nlm.nih.gov/pubmed/36743400 http://dx.doi.org/10.1016/j.euros.2022.12.005 |
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author | Pedraza, Adriana M. Parekh, Sneha Joshi, Himanshu Grauer, Ralph Wagaskar, Vinayak Zuluaga, Laura Gupta, Raghav Barthe, Flora Nasri, Jordan Pandav, Krunal Patel, Dhruti Gorin, Michael A. Menon, Mani Tewari, Ashutosh K. |
author_facet | Pedraza, Adriana M. Parekh, Sneha Joshi, Himanshu Grauer, Ralph Wagaskar, Vinayak Zuluaga, Laura Gupta, Raghav Barthe, Flora Nasri, Jordan Pandav, Krunal Patel, Dhruti Gorin, Michael A. Menon, Mani Tewari, Ashutosh K. |
author_sort | Pedraza, Adriana M. |
collection | PubMed |
description | 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 parameters 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 primary outcome. Multivariate regression analyses were carried out to identify predictors 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 clinicopathologic 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. |
format | Online Article Text |
id | pubmed-9895764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98957642023-02-04 Side-specific, Microultrasound-based Nomogram for the Prediction of Extracapsular Extension in Prostate Cancer Pedraza, Adriana M. Parekh, Sneha Joshi, Himanshu Grauer, Ralph Wagaskar, Vinayak Zuluaga, Laura Gupta, Raghav Barthe, Flora Nasri, Jordan Pandav, Krunal Patel, Dhruti Gorin, Michael A. Menon, Mani Tewari, Ashutosh K. Eur Urol Open Sci Prostate Cancer 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 parameters 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 primary outcome. Multivariate regression analyses were carried out to identify predictors 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 clinicopathologic 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. Elsevier 2022-12-28 /pmc/articles/PMC9895764/ /pubmed/36743400 http://dx.doi.org/10.1016/j.euros.2022.12.005 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Prostate Cancer Pedraza, Adriana M. Parekh, Sneha Joshi, Himanshu Grauer, Ralph Wagaskar, Vinayak Zuluaga, Laura Gupta, Raghav Barthe, Flora Nasri, Jordan Pandav, Krunal Patel, Dhruti Gorin, Michael A. Menon, Mani Tewari, Ashutosh K. Side-specific, Microultrasound-based Nomogram for the Prediction of Extracapsular Extension in Prostate Cancer |
title | Side-specific, Microultrasound-based Nomogram for the Prediction of Extracapsular Extension in Prostate Cancer |
title_full | Side-specific, Microultrasound-based Nomogram for the Prediction of Extracapsular Extension in Prostate Cancer |
title_fullStr | Side-specific, Microultrasound-based Nomogram for the Prediction of Extracapsular Extension in Prostate Cancer |
title_full_unstemmed | Side-specific, Microultrasound-based Nomogram for the Prediction of Extracapsular Extension in Prostate Cancer |
title_short | Side-specific, Microultrasound-based Nomogram for the Prediction of Extracapsular Extension in Prostate Cancer |
title_sort | side-specific, microultrasound-based nomogram for the prediction of extracapsular extension in prostate cancer |
topic | Prostate Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895764/ https://www.ncbi.nlm.nih.gov/pubmed/36743400 http://dx.doi.org/10.1016/j.euros.2022.12.005 |
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