Literature DB >> 31977261

Staging Accuracy of Multiparametric Magnetic Resonance Imaging in Caucasian and African American Men Undergoing Radical Prostatectomy.

Ugo G Falagario1,2, Parita Ratnani1, Anna Lantz1,3,4, Ivan Jambor5,6,7, Zachary Dovey1, Aradhana Verma8, Patrick-Julien Treacy1, Stanislaw Sobotka1, Alberto Martini1, Hafis Bashorun1, Mehrab Ashan1, Vinayak G Wagaskar1, Sara Lewis5, Luigi Cormio2, Giuseppe Carrieri2, Natasha Kyprianou1, Nihal Mohamed1, Ash Tewari1.   

Abstract

PURPOSE: We compared the performance of multiparametric magnetic resonance imaging for the prediction of extraprostatic extension in African American and Caucasian American men and evaluated racial disparities in pathological outcomes after radical prostatectomy.
MATERIALS AND METHODS: We identified 975 patients who underwent radical prostatectomy with preoperative multiparametric magnetic resonance imaging between January 2013 and April 2019 at our institution. Multivariable logistic regression analysis was performed predicting pathological extraprostatic extension, high grade prostate cancer (final pathology GGG [Gleason Grade Group] 3 or greater) in the overall population and pathological upgrading (final pathology GGG 3 or greater) in patients with a diagnosis of GGG 1-2 prostate cancer. Adverse pathology was defined as pT3 and/or GGG 3 or greater.
RESULTS: A total of 221 (23%) patients were African American. Preoperatively 594 (60.9%) were GGG 1-2 (low risk group) and 381 (39.1%) GGG 3 or greater (high risk group). In the low risk group rates of pathological extraprostatic extension (18% vs 12.8%, p=0.14), adverse pathology (18% vs 13.4%, p=0.2) or upgrading (9.4% vs 12.1%, p=0.4) were similar between races. Similarly, in the high risk group there was no difference in rates of pathological extraprostatic extension. On multivariable analysis multiparametric magnetic resonance imaging predicted the presence of extraprostatic extension (OR 1.80, 95% CI 1.29-2.50) and high grade prostate cancer (OR 1.82, 95% CI 1.25-2.67) on final pathology. Conversely, race did not predict the outcomes of interest (all values p >0.05). Multiparametric magnetic resonance imaging showed comparable sensitivity (22.22% vs 27.84%), specificity (89.2% vs 79.2%), positive predictive value (89.2% vs 83.4%) and negative predictive value (89.2% vs 83.4%) between African American and Caucasian America men, respectively.
CONCLUSIONS: The accuracy of multiparametric magnetic resonance imaging in staging prostate cancer was similar in African American and Caucasian American patients and no difference was found between races in pathological outcomes after radical prostatectomy. These findings suggest that access to and use of advanced diagnostic tests may help mitigate prostate cancer racial disparities.

Entities:  

Keywords:  magnetic resonance imaging; predictive value of tests; prostatectomy; prostatic neoplasms; race factors

Year:  2020        PMID: 31977261     DOI: 10.1097/JU.0000000000000774

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  10 in total

1.  MRI Screening and MRI/US Fusion-Guided Transperineal Biopsy in Detecting Prostate Cancer.

Authors:  Hongqing Yin; Jun Shao; Huan Song; Wei Ding; Bin Xu; Hui Cao; Jianming Wang
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

2.  Multivariable Models Incorporating Multiparametric Magnetic Resonance Imaging Efficiently Predict Results of Prostate Biopsy and Reduce Unnecessary Biopsy.

Authors:  Shuanbao Yu; Guodong Hong; Jin Tao; Yan Shen; Junxiao Liu; Biao Dong; Yafeng Fan; Ziyao Li; Ali Zhu; Xuepei Zhang
Journal:  Front Oncol       Date:  2020-11-11       Impact factor: 6.244

3.  PSA, stage, grade and prostate cancer specific mortality in Asian American patients relative to Caucasians according to the United States Census Bureau race definitions.

Authors:  Marina Deuker; L Franziska Stolzenbach; Angela Pecoraro; Giuseppe Rosiello; Stefano Luzzago; Zhe Tian; Fred Saad; Felix K-H Chun; Pierre I Karakiewicz
Journal:  World J Urol       Date:  2020-05-26       Impact factor: 4.226

4.  Combining prostate health index and multiparametric magnetic resonance imaging in estimating the histological diameter of prostate cancer.

Authors:  Po-Fan Hsieh; Tzung-Ruei Li; Wei-Ching Lin; Han Chang; Chi-Ping Huang; Chao-Hsiang Chang; Chi-Rei Yang; Chin-Chung Yeh; Wen-Chin Huang; Hsi-Chin Wu
Journal:  BMC Urol       Date:  2021-11-20       Impact factor: 2.264

5.  Development and Validation of a Radiomics Nomogram for Predicting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions.

Authors:  Tianping Li; Linna Sun; Qinghe Li; Xunrong Luo; Mingfang Luo; Haizhu Xie; Peiyuan Wang
Journal:  Front Oncol       Date:  2022-01-26       Impact factor: 6.244

6.  Utility of Clinical-Radiomic Model to Identify Clinically Significant Prostate Cancer in Biparametric MRI PI-RADS V2.1 Category 3 Lesions.

Authors:  Pengfei Jin; Liqin Yang; Xiaomeng Qiao; Chunhong Hu; Chenhan Hu; Ximing Wang; Jie Bao
Journal:  Front Oncol       Date:  2022-02-24       Impact factor: 6.244

7.  Construction and Validation of a Clinical Predictive Nomogram for Improving the Cancer Detection of Prostate Naive Biopsy Based on Chinese Multicenter Clinical Data.

Authors:  Tao Tao; Changming Wang; Weiyong Liu; Lei Yuan; Qingyu Ge; Lang Zhang; Biming He; Lei Wang; Ling Wang; Caiping Xiang; Haifeng Wang; Shuqiu Chen; Jun Xiao
Journal:  Front Oncol       Date:  2022-01-21       Impact factor: 6.244

8.  Application Value of Radiomic Nomogram in the Differential Diagnosis of Prostate Cancer and Hyperplasia.

Authors:  Shaogao Gui; Min Lan; Chaoxiong Wang; Si Nie; Bing Fan
Journal:  Front Oncol       Date:  2022-04-14       Impact factor: 5.738

9.  Oncologic Outcomes after Localized Prostate Cancer Treatment: Associations with Pretreatment Prostate Magnetic Resonance Imaging Findings.

Authors:  Andreas G Wibmer; Joshua Chaim; Yulia Lakhman; Robert A Lefkowitz; Josip Nincevic; Ines Nikolovski; Evis Sala; Mithat Gonen; Sigrid V Carlsson; Samson W Fine; Michael J Zelefsky; Peter Scardino; Hedvig Hricak; Hebert Alberto Vargas
Journal:  J Urol       Date:  2020-11-18       Impact factor: 7.450

10.  International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer.

Authors:  Andreas G Wibmer; Michael W Kattan; Francesco Alessandrino; Alexander D J Baur; Lars Boesen; Felipe Boschini Franco; David Bonekamp; Riccardo Campa; Hannes Cash; Violeta Catalá; Sebastien Crouzet; Sounil Dinnoo; James Eastham; Fiona M Fennessy; Kamyar Ghabili; Markus Hohenfellner; Angelique W Levi; Xinge Ji; Vibeke Løgager; Daniel J Margolis; Paul C Moldovan; Valeria Panebianco; Tobias Penzkofer; Philippe Puech; Jan Philipp Radtke; Olivier Rouvière; Heinz-Peter Schlemmer; Preston C Sprenkle; Clare M Tempany; Joan C Vilanova; Jeffrey Weinreb; Hedvig Hricak; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2021-05-27       Impact factor: 6.639

  10 in total

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