Quantitative analysis of diffusion weighted imaging may improve risk stratification of prostatic transition zone lesions
Abstract: Background/Aim: To investigate whether quantitative analysis of diffusion weighted images allows for improved risk stratification of transition zone lesions in prostate magnetic resonance imaging (MRI) evaluated according to PI-RADSv2.1 [Prostate Imaging Reporting and Data System, target variable: clinically significant prostate cancer (csPCa)]. Patients and Methods: Consecutive patients with transition zone lesions in 3T prostate MRI were enrolled in the study. All lesions on MRI were histopathologically verified by transperineal MRI-TRUS fusion biopsy. Two blinded radiologists re-evaluated all lesions according to PI-RADSv2.1. A consensus reading was performed after reading of all cases. Additionally, mean apparent diffusion coefficient values (mADC) were derived from blinded lesion segmentation. ROC analysis was performed for PI-RADS categories and PI-RADS categories with separate subcategories and diffusion coefficient values (ADC). Data were examined for optimal mADC cut-off values that improve stratification of csPCa and benign lesions. Results: Among 85 patients (mean age=66.2 years), 98 transition zone lesions were detected. Biopsy confirmed csPCa in 24/98 cases. Area under the curve (AUC) was 0.89/0.90 for reader 1, 0.92/0.91 for reader 2 and 0.92/0.91 for the consensus reading (5 category analysis/analysis with subcategories separately). Inter-reader agreement was substantial, with lower PI-RADS categories assigned by the more experienced reader (p<0.05). AUC for mADC alone was 0.81. When a cut-off threshold of 950 μm2/s mADC is used to downgrade PI-RADS 3 lesions to PI-RADS 2, biopsy could be avoided in all benign PI-RADS 3 cases. Conclusion: Quantitative analysis of diffusion weighted images may help avoid unnecessary biopsies of transition zone PI-RADS 3 lesions
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In Vivo. - 36, 5 (2022) , 2323-2331, ISSN: 1791-7549
- Ereignis
-
Veröffentlichung
- (wo)
-
Freiburg
- (wer)
-
Universität
- (wann)
-
2022
- Urheber
- DOI
-
10.21873/invivo.12963
- URN
-
urn:nbn:de:bsz:25-freidok-2296788
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:58 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
Entstanden
- 2022
Ähnliche Objekte (12)
Effect of surface-partial-volume correction and adaptive threshold on segmentation of uroliths in computed tomography
Morphologie und Deformationsverhalten des Kniegelenkknorpels bei Kraftsportlern
Group integration techniques in pattern analysis : a kernel view
Disentangling micro from mesostructure by diffusion MRI: a Bayesian approach
Increased interstitial fluid in periventricular and deep white matter hyperintensities in patients with suspected idiopathic normal pressure hydrocephalus
Clinical feasibility of diffusion microstructure imaging (DMI) in acute ischemic stroke
Genomic classifiers in personalized prostate cancer radiotherapy approaches – a systematic review and future perspectives based on international consensus
Machine Outputs Must Be Checked
Machine outputs must be checked
Accuracy of automated segmentation and volumetry of acute intracerebral hemorrhage following minimally invasive surgery using a patch-based convolutional neural network in a small dataset
Application of diffusion microstructure imaging in musculoskeletal radiology - translation from head to shoulders
AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice
Effect of surface-partial-volume correction and adaptive threshold on segmentation of uroliths in computed tomography
Morphologie und Deformationsverhalten des Kniegelenkknorpels bei Kraftsportlern
Group integration techniques in pattern analysis : a kernel view
Disentangling micro from mesostructure by diffusion MRI: a Bayesian approach
Increased interstitial fluid in periventricular and deep white matter hyperintensities in patients with suspected idiopathic normal pressure hydrocephalus
Clinical feasibility of diffusion microstructure imaging (DMI) in acute ischemic stroke
Genomic classifiers in personalized prostate cancer radiotherapy approaches – a systematic review and future perspectives based on international consensus
Machine Outputs Must Be Checked
Machine outputs must be checked
Accuracy of automated segmentation and volumetry of acute intracerebral hemorrhage following minimally invasive surgery using a patch-based convolutional neural network in a small dataset
Application of diffusion microstructure imaging in musculoskeletal radiology - translation from head to shoulders
AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice
Effect of surface-partial-volume correction and adaptive threshold on segmentation of uroliths in computed tomography
Morphologie und Deformationsverhalten des Kniegelenkknorpels bei Kraftsportlern
Group integration techniques in pattern analysis : a kernel view
Disentangling micro from mesostructure by diffusion MRI: a Bayesian approach
Increased interstitial fluid in periventricular and deep white matter hyperintensities in patients with suspected idiopathic normal pressure hydrocephalus
Clinical feasibility of diffusion microstructure imaging (DMI) in acute ischemic stroke
Genomic classifiers in personalized prostate cancer radiotherapy approaches – a systematic review and future perspectives based on international consensus
Machine Outputs Must Be Checked
Machine outputs must be checked
Accuracy of automated segmentation and volumetry of acute intracerebral hemorrhage following minimally invasive surgery using a patch-based convolutional neural network in a small dataset
Application of diffusion microstructure imaging in musculoskeletal radiology - translation from head to shoulders