Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications

Overview

Journal Acad Radiol

Specialty Radiology

Date 2016 May 3

PMID 27133005

Citations 27

Authors

Lizhi Liu

Zhiqiang Tian

Zhenfeng Zhang

Baowei Fei

Affiliations

Soon will be listed here.

Abstract

One in six men will develop prostate cancer in his lifetime. Early detection and accurate diagnosis of the disease can improve cancer survival and reduce treatment costs. Recently, imaging of prostate cancer has greatly advanced since the introduction of multiparametric magnetic resonance imaging (mp-MRI). Mp-MRI consists of T2-weighted sequences combined with functional sequences including dynamic contrast-enhanced MRI, diffusion-weighted MRI, and magnetic resonance spectroscopy imaging. Because of the big data and variations in imaging sequences, detection can be affected by multiple factors such as observer variability and visibility and complexity of the lesions. To improve quantitative assessment of the disease, various computer-aided detection systems have been designed to help radiologists in their clinical practice. This review paper presents an overview of literatures on computer-aided detection of prostate cancer with mp-MRI, which include the technology and its applications. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific application.

Citing Articles

Developmental trends and knowledge frameworks in the application of radiomics in prostate cancer: a bibliometric analysis from 2000 to 2024.

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A classifier model for prostate cancer diagnosis using CNNs and transfer learning with multi-parametric MRI.

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Radiomics in prostate cancer: an up-to-date review.

Ferro M, de Cobelli O, Musi G, Del Giudice F, Carrieri G, Busetto G Ther Adv Urol. 2022; 14:17562872221109020.

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The role of MRI in prostate cancer: current and future directions.

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