An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study-Reference-Cited by-同舟云学术

An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study

Published:2021-07 Issue:7 Volume:3 Page:e445-e454
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Hiremath Amogh,Shiradkar Rakesh,Fu Pingfu,Mahran Amr,Rastinehad Ardeshir R,Tewari Ashutosh,Tirumani Sree Harsha,Purysko Andrei,Ponsky Lee,Madabhushi Anant

Funder

National Cancer Institute

National Institute of Biomedical Imaging and Bioengineering

Congressionally Directed Medical Research Programs

Department of Veterans Affairs

National Heart Lung and Blood Institute

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference30 articles.

1. Assessment of the diagnostic accuracy of biparametric magnetic resonance imaging for prostate cancer in biopsy-naive men: the Biparametric MRI for Detection Of prostate Cancer (BIDOC) study;Boesen;JAMA Netw Open,2018