Our system is currently under heavy load due to increased usage. We're actively working on upgrades to improve performance. Thank you for your patience.
2022
DOI: 10.1136/bmjopen-2021-051274
|View full text |Cite
|
Sign up to set email alerts
|

Detection of ISUP ≥2 prostate cancers using multiparametric MRI: prospective multicentre assessment of the non-inferiority of an artificial intelligence system as compared to the PI-RADS V.2.1 score (CHANGE study)

Abstract: IntroductionProstate multiparametric MRI (mpMRI) has shown good sensitivity in detecting cancers with an International Society of Urological Pathology (ISUP) grade of ≥2. However, it lacks specificity, and its inter-reader reproducibility remains moderate. Biomarkers, such as the Prostate Health Index (PHI), may help select patients for prostate biopsy. Computer-aided diagnosis/detection (CAD) systems may also improve mpMRI interpretation. Different prototypes of CAD systems are currently developed under the R… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 45 publications
0
1
0
Order By: Relevance
“…In the specialized literature, several correlations have been made between the diagnostic accuracy and the ISUP score. Using a multiparametric MRI, some prostate cancers can be detected at ISUP grade of 2, where certain lesions can be missed or overlooked during TRUS-guided prostate biopsy [13].…”
Section: Gleason Scorementioning
confidence: 99%
“…In the specialized literature, several correlations have been made between the diagnostic accuracy and the ISUP score. Using a multiparametric MRI, some prostate cancers can be detected at ISUP grade of 2, where certain lesions can be missed or overlooked during TRUS-guided prostate biopsy [13].…”
Section: Gleason Scorementioning
confidence: 99%