This retrospective study assessed the diagnostic performance of prostate MRI by estimating the proportion of clinically significant #ProstateCancer (csPCa) in patients without prostate pathology. It found varying csPCa proportions based on PI-RADS scores, with sensitivity of 76.6–77.3%, specificity of 67.5–78.6%, and NPV of 84.4–87.2%. (Hirotsugu Nakai et al.)
#PIRADS
This study investigated if a #DeepLearning software could improve #PIRADS scoring consistency on bi-parametric prostate MRI. (Aydan Arslan et al.)
Byung Kwan Park et al. explore a new transperineal ultrasound (TPUS)-guided biopsy technique that may contribute to the detection of large #PIRADS 5 #ProstateCancer in men following a Miles' operation.
Zhoujie Sun et al. explore the diagnostic performance of targeted biopsy combined with regional systematic biopsy in patients with different #PIRADS and histologic zones for prostate lesions, which shows promise as an alternative approach.
Quantitative #ultrasound shear wave elastography (USWE) and mpMRI using #PIRADS classification shows a good degree of prediction for Gleason score of clinically significant #ProstateCancer (csPCa). (Wael Ageeli et al.)
🔗 https://insightsimaging.springeropen.com/articles/10.1186/s13244-021-01039-w
Educational Review: Understanding PI-QUAL for #prostate #MRI quality: a practical primer for #radiologists. (Francesco Giganti et al.)
#InsightsIntoImaging #ProstateCancer #PIRADS
🔗 https://insightsimaging.springeropen.com/articles/10.1186/s13244-021-00996-6
MULTI study: PI-RADSv2.1 descriptors are more specific than PI-RADSv2 descriptors when assessing the same set of #MRI lesions, but did not improve inter-reader variability. (Florian Di Franco et al.)
#InsightsIntoImaging #PIRADS #ProstateCancer
🔗 https://insightsimaging.springeropen.com/articles/10.1186/s13244-023-01391-z
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