Quantitative Prostate MRI.
MRI
PI-RADS
diffusion weighted imaging
machine learning
prostate cancer
texture analysis
Journal
Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850
Informations de publication
Date de publication:
06 2021
06 2021
Historique:
revised:
24
04
2020
received:
24
03
2020
accepted:
24
04
2020
pubmed:
16
5
2020
medline:
20
5
2021
entrez:
16
5
2020
Statut:
ppublish
Résumé
Prostate MRI is reported in clinical practice using the Prostate Imaging and Data Reporting System (PI-RADS). PI-RADS aims to standardize, as much as possible, the acquisition, interpretation, reporting, and ultimately the performance of prostate MRI. PI-RADS relies upon mainly subjective analysis of MR imaging findings, with very few incorporated quantitative features. The shortcomings of PI-RADS are mainly: low-to-moderate interobserver agreement and modest accuracy for detection of clinically significant tumors in the transition zone. The use of a more quantitative analysis of prostate MR imaging findings is therefore of interest. Quantitative MR imaging features including: tumor size and volume, tumor length of capsular contact, tumor apparent diffusion coefficient (ADC) metrics, tumor T
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1632-1645Informations de copyright
© 2020 International Society for Magnetic Resonance in Medicine.
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https://www.ncbi.nlm.nih.gov/pubmed/32228325