Comparison of Prostate Imaging Reporting and Data System (PI-RADS) version 1 and version 2 and combination with apparent diffusion coefficient as a predictor of biopsy outcome

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F19%3A43920839" target="_blank" >RIV/00023752:_____/19:43920839 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/19:10394759 RIV/00216208:11120/19:43918355 RIV/00064173:_____/19:N0000051 RIV/00023884:_____/19:00008280 RIV/00064190:_____/19:N0000089

Result on the web

<a href="https://www.semanticscholar.org/paper/Comparison-of-Prostate-Imaging-Reporting-and-Data-1-R%C3%BDznarov%C3%A1-Keller/79125343fb6ad7f1be5ea2979003d6fdfafa671c" target="_blank" >https://www.semanticscholar.org/paper/Comparison-of-Prostate-Imaging-Reporting-and-Data-1-R%C3%BDznarov%C3%A1-Keller/79125343fb6ad7f1be5ea2979003d6fdfafa671c</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Comparison of Prostate Imaging Reporting and Data System (PI-RADS) version 1 and version 2 and combination with apparent diffusion coefficient as a predictor of biopsy outcome

Original language description

PURPOSE: The main aim of the study was to compare the diagnostic performance of Prostate Imaging Reporting and Data System (PI-RADS) versions 1 and 2 for detection of prostate carcinoma (PCa) and clinically significant prostate carcinoma (CSPCa). The second aim was to evaluate the potential benefit of adding the apparent diffusion coefficient (ADC) and prostate specific antigen (PSA) density to the standard evaluation protocol. METHODS: A total of 167 consecutive patients with elevated PSA underwent magnetic resonance imaging. The images were evaluated prospectively using both versions of the PI-RADS and the results compared with 12-core template biopsy and magnetic resonance/transrectal ultrasound fusion biopsy. Receiver-operating characteristic (ROC) curves were compared for each scoring system using DeLong&apos;s test. The area under the curve (AUC) was calculated for ADC and PSA density for lesions scored 4. RESULTS: PI-RADS V2 had high discriminative ability for PCa prediction with an AUC of 0.824 (95% CI 0.763 to 0.885), compared to an AUC of 0.724 (95% CI 0.654 to 0.794) for PI-RADS V1 (p = 0.0335). ADC demonstrated a higher discriminative ability with an AUC of 0.702 (95% CI 0.548 to 0.856) in CSPCa prediction. Using the obtained ADC threshold of 828x10&lt;^&gt;(-6) mmA&lt;^&gt;(2)/s improved specificity to 86.73% with a sensitivity of 60.38%. CONCLUSION: PI-RADS version 2 exhibited significantly higher discriminative ability for PCa and CSPCa detection compared to PI-RADS version 1. Using the ADC can improve the tumor predictability of PI-RADS version 2 in lesions scored 4.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Neuroendocrinology Letters

ISSN

0172-780X

e-ISSN

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Volume of the periodical

40

Issue of the periodical within the volume

1

Country of publishing house

SE - SWEDEN

Number of pages

10

Pages from-to

41-50

UT code for WoS article

000473170400008

EID of the result in the Scopus database

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