Jonathan Sackett1, Joanna H Shih2, Sarah E Reese3, Jeffrey R Brender4, Stephanie A Harmon5, Tristan Barrett6, Mehmet Coskun7, Manuel Madariaga8, Jamie Marko9, Yan Mee Law10, Evrim B Turkbey9, Sherif Mehralivand11, Thomas Sanford11, Nathan Lay11, Peter A Pinto12, Bradford J Wood13, Peter L Choyke11, Baris Turkbey14. 1. Molecular Imaging Program, National Cancer Institute, NIH, Bethesda, MD, USA; Loma Linda University School of Medicine, Loma Linda, CA, USA. 2. Division of Cancer Treatment and Diagnosis: Biometric Research Program, National Cancer Institute, NIH, Bethesda, MD, USA. 3. General Dynamics Information Technology, Falls Church, VA, USA. 4. Radiation Biology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA. 5. Molecular Imaging Program, National Cancer Institute, NIH, Bethesda, MD, USA; Leidos Biomedical Research, Inc., NCI Campus at Frederick, Clinical Research Directorate/Clinical Monitoring Research Program, Bethesda, MD, USA. 6. University of Cambridge School of Clinical Medicine, Cambridge UK. 7. Department of Radiology, Dr. Behcet Uz Child Disease and Pediatric Surgery Training and Research Hospital, University of Health Sciences, izmir, Turkey. 8. Department of Radiology, San Jose Hospital, Santiago, Chile. 9. Department of Radiology, Clinical Center, NIH, Bethesda, MD, USA. 10. Department of Diagnostic Radiology, Singapore General Hospital, Singapore. 11. Molecular Imaging Program, National Cancer Institute, NIH, Bethesda, MD, USA. 12. Urologic Oncology Branch, National Cancer Institute, NIH, Bethesda, MD, USA. 13. Department of Radiology, Clinical Center, NIH, Bethesda, MD, USA; Center for Interventional Oncology, National Cancer Institute, Bethesda, MD, USA. 14. Molecular Imaging Program, National Cancer Institute, NIH, Bethesda, MD, USA. Electronic address: turkbeyi@mail.nih.gov.
Abstract
RATIONALE AND OBJECTIVE: The Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) published a set of minimum technical standards (MTS) to improve image quality and reduce variability in multiparametric prostate MRI. The effect of PIRADSv2 MTS on image quality has not been validated. We aimed to determine whether adherence to PI-RADSv2 MTS improves study adequacy and perceived quality. MATERIALS AND METHODS: Sixty-two prostate MRI examinations including T2 weighted (T2W) and diffusion weighted image (DWI) consecutively referred to our center from 62 different institutions within a 12-month period (September 2017 to September 2018) were included. Six readers assessed images as adequate or inadequate for use in PCa detection and a numerical image quality ranking was given using a 1-5 scale. The PI-RADSv2 MTS were synthesized into sets of seven and 10 rules for T2W and DWI, respectively. Image adherence was assessed using Digital Imaging and Communications in Medicine (DICOM) metadata. Statistical analysis of survey results and image adherence was performed based on reader quality scoring (Kendall Rank tau-b) and reader adequate scoring (Wilcoxon test for association) for T2 and DWI quality assessment. RESULTS: Out of 62 images, 52 (83%) T2W and 38 (61%) DWIs were rated to be adequate by a majority of readers. Reader adequacy scores showed no significant association with adherence to PI-RADSv2. There was a weak (tau-b = 0.22) but significant (p value = 0.01) correlation between adherence to PIRADSv2 MTS and image quality for T2W. Studies following all PI-RADSv2 T2W rules achieved a higher median average quality score (3.58 for 7/7 vs. 3.0 for <7/7, p = 0.012). No statistical relationship with PI-RADSv2 MTS adherence and DWI quality was found. CONCLUSION: Among 62 sites performing prostate MRI, few were considered of high quality, but the majority were considered adequate. DWI showed considerably lower rates of adequate studies in the sample. Adherence to PI-RADSv2 MTS did not increase the likelihood of having a qualitatively adequate T2W or DWI.
RATIONALE AND OBJECTIVE: The Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) published a set of minimum technical standards (MTS) to improve image quality and reduce variability in multiparametric prostate MRI. The effect of PIRADSv2 MTS on image quality has not been validated. We aimed to determine whether adherence to PI-RADSv2 MTS improves study adequacy and perceived quality. MATERIALS AND METHODS: Sixty-two prostate MRI examinations including T2 weighted (T2W) and diffusion weighted image (DWI) consecutively referred to our center from 62 different institutions within a 12-month period (September 2017 to September 2018) were included. Six readers assessed images as adequate or inadequate for use in PCa detection and a numerical image quality ranking was given using a 1-5 scale. The PI-RADSv2 MTS were synthesized into sets of seven and 10 rules for T2W and DWI, respectively. Image adherence was assessed using Digital Imaging and Communications in Medicine (DICOM) metadata. Statistical analysis of survey results and image adherence was performed based on reader quality scoring (Kendall Rank tau-b) and reader adequate scoring (Wilcoxon test for association) for T2 and DWI quality assessment. RESULTS: Out of 62 images, 52 (83%) T2W and 38 (61%) DWIs were rated to be adequate by a majority of readers. Reader adequacy scores showed no significant association with adherence to PI-RADSv2. There was a weak (tau-b = 0.22) but significant (p value = 0.01) correlation between adherence to PIRADSv2 MTS and image quality for T2W. Studies following all PI-RADSv2 T2W rules achieved a higher median average quality score (3.58 for 7/7 vs. 3.0 for <7/7, p = 0.012). No statistical relationship with PI-RADSv2 MTS adherence and DWI quality was found. CONCLUSION: Among 62 sites performing prostate MRI, few were considered of high quality, but the majority were considered adequate. DWI showed considerably lower rates of adequate studies in the sample. Adherence to PI-RADSv2 MTS did not increase the likelihood of having a qualitatively adequate T2W or DWI.
Authors: Francesco Giganti; Veeru Kasivisvanathan; Alex Kirkham; Shonit Punwani; Mark Emberton; Caroline M Moore; Clare Allen Journal: Br J Radiol Date: 2021-07-08 Impact factor: 3.039