A SelectMDx/magnetic resonance imaging-based nomogram to diagnose prostate cancer

被引:5
|
作者
Wagaskar, Vinayak G. [1 ]
Levi, Micah [1 ]
Ratnani, Parita [1 ]
Sullimada, Sharmila [1 ]
Gerenia, Mae [1 ]
Schlussel, Kacie [1 ]
Choudhury, Samia [1 ]
Gabriele, Marla [1 ]
Haas, Ian [1 ]
Haines, Kenneth, III [2 ]
Tewari, Ash [1 ]
机构
[1] Icahn Sch Med Mt Sinai Hosp, Dept Urol, 1425 Madison Ave,New, New York, NY 10029 USA
[2] Icahn Sch Med Mt Sinai Hosp, Dept Pathol, New York, NY 10029 USA
关键词
mpMRI PI RADS score; PCa biomarkers; prostate biopsy; SelectMDx; PI-RADS; BIOPSY; COMPLICATIONS; MRI;
D O I
10.1002/cnr2.1668
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background 70%-80% of prostate cancer (PCa) biopsies performed in the US annually may be unnecessary. Specific antigen testing (PSA) and tans rectal ultrasound (TRUS) are imprecise predictive methods for risk of PCa. Novel strategies are critical to guide biopsy decision-making. Aim We assessed the utility and accuracy of combining Select MDx and multiparametric magnetic resonance imaging (mpMRI) scores for predicting risk of PCa. Methods and Results Our study was conducted at Mount Sinai hospital at Urology department in New York City from January 2020 to April 2021. Total 129 men performed select MDx test. Indications for prostate biopsy were high-risk Select MDx score, suspicious DRE, PI-RADS scores 3/4/5 on mpMRI, or any combination of these. Fifty-one percentage of 129 patients underwent systemic or combined systemic and MRI/US (ultrasound) fusion biopsy; All men underwent 3 T MRI of Prostate w/wo contrast using standard protocols prior to biopsy. A single surgeon performed prostate biopsies. Gleason score >= 3 + 3 on biopsy is defined as outcome. Descriptive statistics were calculated as cross tables. Binary logistic regression model is used to determine the outcome. The nomogram was based on the coefficients of the logit function. ROCs were plotted and decision curve analysis was performed. Using both high-risk Select MDx and PI-RADS scores of 4/5, 87% of biopsies could have been avoided, while detecting 64% of PCa and missing 36%. If biopsies were performed on men with positive Select MDx or PI-RADS 4/5 results, 16% of biopsies could have been avoided while detecting all PCa. Combining these scores improved specificity and accuracy for the detection of PCa over either used alone. Study limitations include limited sample size, sole institution study, and risk or overfitting for the proposed model which may limit generalizability. Conclusion Combining SelectMDx and mpMRI PI-PADS scores of 4/5 may be useful for PCa biopsy decision-making.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Comparison of Magnetic Resonance Imaging-Based Radiomics Features with Nomogram for Prediction of Prostate Cancer Invasion
    Liu, Yang
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2023, 16 : 3043 - 3051
  • [2] A magnetic resonance imaging-based nomogram for predicting clinically significant prostate cancer at radical prostatectomy
    Castellani, Daniele
    Cecchini, Sara
    Mazzucchelli, Roberta
    Soraci, Luca
    Di Rosa, Mirko
    Fabbietti, Paolo
    Palagonia, Erika
    Puccio, Francesca
    Carnevali, Francesca
    Paci, Enrico
    Montironi, Rodolfo
    Galosi, Andrea Benedetto
    UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS, 2022, 40 (08) : 379.e1 - 379.e8
  • [3] Magnetic Resonance Imaging-Based Prediction of Prostate Cancer Risk
    Bianchi, Giampaolo
    Sighinolfi, Maria Chiara
    Rocco, Bernardo
    JAMA ONCOLOGY, 2018, 4 (11) : 1624 - 1625
  • [4] MultiParametric Magnetic Resonance Imaging-Based Nomogram for Predicting Prostate Cancer and Clinically Significant Prostate Cancer in Men Undergoing Repeat Prostate Biopsy
    Huang, Cong
    Song, Gang
    Wang, He
    Ji, Guangjie
    Li, Jie
    Chen, Yuke
    Fan, Yu
    Fang, Dong
    Xiong, Gengyan
    Xin, Zhongcheng
    Zhou, Liqun
    BIOMED RESEARCH INTERNATIONAL, 2018, 2018
  • [5] Magnetic Resonance Imaging-Based Prediction of Prostate Cancer Risk Reply
    Mehralivand, Sherif
    Shih, Joanna
    Turkbey, Baris
    JAMA ONCOLOGY, 2018, 4 (11) : 1625 - 1625
  • [6] Current magnetic resonance imaging-based diagnostic strategies for prostate cancer
    Inoue, Toru
    Shin, Toshitaka
    INTERNATIONAL JOURNAL OF UROLOGY, 2023, 30 (12) : 1078 - 1086
  • [7] Superfast Magnetic Resonance Imaging-based Diagnostic Pathway for Prostate Cancer
    Pereira, Leonor Jane Paulino
    Heetman, Joris G.
    Bergh, Roderick C. N.
    van Melick, Harm H. E.
    EUROPEAN UROLOGY OPEN SCIENCE, 2022, 46 : 30 - 32
  • [8] A magnetic resonance imaging-based workflow for planning radiation therapy for prostate cancer
    Greer, Peter B.
    Dowling, Jason A.
    Lambert, Jonathon A.
    Fripp, Jurgen
    Parker, Joel
    Denham, James W.
    Wratten, Chris
    Capp, Anne
    Salvado, Olivier
    MEDICAL JOURNAL OF AUSTRALIA, 2011, 194 (04) : S24 - S27
  • [9] Multiparametric magnetic resonance imaging-based radiomics nomogram for predicting tumor grade in endometrial cancer
    Yue, Xiaoning
    He, Xiaoyu
    He, Shuaijie
    Wu, Jingjing
    Fan, Wei
    Zhang, Haijun
    Wang, Chengwei
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [10] Multi-parametric magnetic resonance imaging-based nomogram for predicting prostate cancer and high-grade prostate cancer in men undergoing repeat prostate biopsy
    Huang, C.
    ANNALS OF ONCOLOGY, 2017, 28