Accuracy of ADC ratio in discriminating true and false positives in multiparametric prostatic MRI.
Aged
Aged, 80 and over
Area Under Curve
Biopsy, Large-Core Needle
Double-Blind Method
False Positive Reactions
Humans
Male
Middle Aged
Multiparametric Magnetic Resonance Imaging
/ methods
Neoplasm Grading
Prostate
/ diagnostic imaging
Prostatic Neoplasms
/ diagnostic imaging
Reproducibility of Results
Retrospective Studies
Sensitivity and Specificity
ADC ratio
Diffusion-weighted imaging
Multiparametric magnetic resonance imaging
Prostate cancer
Journal
European journal of radiology
ISSN: 1872-7727
Titre abrégé: Eur J Radiol
Pays: Ireland
ID NLM: 8106411
Informations de publication
Date de publication:
Jul 2020
Jul 2020
Historique:
received:
26
03
2020
revised:
14
04
2020
accepted:
15
04
2020
pubmed:
11
5
2020
medline:
8
1
2021
entrez:
11
5
2020
Statut:
ppublish
Résumé
Our goal was to evaluate the usefulness of apparent diffusion coefficient (ADC) ratios in discriminating true from false positives in multiparametric (mp) prostate MRI in clinical practice. We retrospectively evaluated 98 prostate lesions in a series of 73 patients who had undergone prostate mpMRI and standard 12-core prostatic biopsy in our institution from 2016 to 2018. Two experienced radiologists performed double blind ADC value quantifications of both MRI-identified lesions and apparently benign contralateral prostatic parenchyma in a circular region of interest (ROI) of ∼10 mm For Reader 1, the area under the ROC curve (AUC) of ADC ratio mean and ADC ratio min-max were 0.72 and 0.67, respectively, whereas for Reader 2 these values were 0.74 and 0.71, respectively. The best cut-off values for ADC ratio means were ≥ 0.5 (Reader 1) and ≥ 0.6 (Reader 2), with a sensitivity of 76.3 % and 84.2 % and a specificity of 51.7 % and 50 %, respectively. Moreover, based on a threshold of 0.6, no clinically significant prostate cancer (csPCa) was missed by Reader 1, while only one went unnoticed by Reader 2. The ADC ratio is a useful and moderately accurate complementary tool to diagnose prostate cancer in the mp-MRI.
Identifiants
pubmed: 32387923
pii: S0720-048X(20)30213-8
doi: 10.1016/j.ejrad.2020.109024
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
109024Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.