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Article ; Online: A Faster Prostate MRI: Comparing a Novel Denoised, Single-Average T

Kelleher, Colm B / Macdonald, Jacob / Jaffe, Tracy A / Allen, Brian C / Kalisz, Kevin R / Kauffman, Travis H / Smith, Jordan D / Maurer, Kimberly R / Thomas, Sarah P / Coleman, Aaron D / Zaki, Islam H / Kannengiesser, Stephan / Lafata, Kyle / Gupta, Rajan T / Bashir, Mustafa R

Journal of magnetic resonance imaging : JMRI

2023  Volume 58, Issue 2, Page(s) 620–629

Abstract: Background: The T: Purpose/hypothesis: To determine whether a denoised, single-average T: Study type: Retrospective.: Population: A total of 45 males (age range 60-75 years) who underwent clinically indicated prostate MRI examinations, 21 of ... ...

Abstract Background: The T
Purpose/hypothesis: To determine whether a denoised, single-average T
Study type: Retrospective.
Population: A total of 45 males (age range 60-75 years) who underwent clinically indicated prostate MRI examinations, 21 of whom had pathologically proven prostate cancer.
Field strength/sequence: A 3 T; T
Assessment: Nine readers randomly assessed complete exams including T
Statistical tests: Generalized linear mixed effects models for differences in lesion detection, image quality features, and overall preference between T
Results: There was no significant difference between sequences regarding identification of lesions with PI-RADS ≥3 (P = 0.10) or PI-RADS score (P = 0.77). Reader agreement was excellent for lesion identification (ICC = 0.84). There was no significant overall preference between the two sequences regarding image quality (P = 0.07, 95% CI: [-0.23, 0.01]). Reader agreement was good regarding sequence preference (ICC = 0.62).
Data conclusion: Use of single-average, denoised T
Evidence level: 3.
Technical efficacy: Stage 3.
MeSH term(s) Male ; Humans ; Middle Aged ; Aged ; Magnetic Resonance Imaging/methods ; Prostate/diagnostic imaging ; Prostate/pathology ; Prostatic Neoplasms/diagnostic imaging ; Prostatic Neoplasms/pathology ; Retrospective Studies ; Pelvis/pathology
Language English
Publishing date 2023-01-06
Publishing country United States
Document type Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID 1146614-5
ISSN 1522-2586 ; 1053-1807
ISSN (online) 1522-2586
ISSN 1053-1807
DOI 10.1002/jmri.28577
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Zs.A 3648: Show issues Location:
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