Diffusion and Quantification of Diffusion of Prostate Cancer

Overview

Journal Br J Radiol

Publisher Oxford University Press

Specialty Radiology

Date 2021 Sep 20

PMID 34538094

Citations 6

Authors

Yoshiko Ueno

Tsutomu Tamada

Keitaro Sofue

Takamichi Murakami

Affiliations

Soon will be listed here.

Abstract

For assessing a cancer treatment, and for detecting and characterizing cancer, Diffusion-weighted imaging (DWI) is commonly used. The key in DWI's use extracranially has been due to the emergence of of high-gradient amplitude and multichannel coils, parallelimaging, and echo-planar imaging. The benefit has been fewer motion artefacts and high-quality prostate images.Recently, new techniques have been developed to improve the signal-to-noise ratio of DWI with fewer artefacts, allowing an increase in spatial resolution. For apparent diffusion coefficient quantification, non-Gaussian diffusion models have been proposed as additional tools for prostate cancer detection and evaluation of its aggressiveness. More recently, radiomics and machine learning for prostate magnetic resonance imaging have emerged as novel techniques for the non-invasive characterisation of prostate cancer. This review presents recent developments in prostate DWI and discusses its potential use in clinical practice.

Citing Articles

Squared diffusion-weighted imaging for improving the detection of clinically significant prostate cancer.

Valentin B, Schimmoller L, Boschheidgen M, Ullrich T, Thiel T, Ljimani A Sci Rep. 2025; 15(1):3451.

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Case report: Prostatic malakoplakia: a rare disease that has a profile mimicking prostate cancer.

Ren Y, Chen W, Zhang M, Zhang X, Zhou J, Li Y Front Oncol. 2024; 14:1348797.

PMID: 38665958 PMC: 11043519. DOI: 10.3389/fonc.2024.1348797.

Diffusion kurtosis imaging and standard diffusion imaging in the magnetic resonance imaging assessment of prostate cancer.

Palumbo P, Martinese A, Antenucci M, Granata V, Fusco R, De Muzio F Gland Surg. 2024; 12(12):1806-1822.

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Acquisition Parameters Influence Diffusion Metrics Effectiveness in Probing Prostate Tumor and Age-Related Microstructure.

Caporale A, Nezzo M, Di Trani M, Maiuro A, Miano R, Bove P J Pers Med. 2023; 13(5).

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Truly reproducible uniform estimation of the ADC with multi-b diffusion data- Application in prostate diffusion imaging.

Kuczera S, Langkilde F, Maier S Magn Reson Med. 2022; 89(4):1586-1600.

PMID: 36426737 PMC: 10100221. DOI: 10.1002/mrm.29533.

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