Purpose: The reproducibility of relative cerebral blood volume (rCBV) measurements among readers with different levels of experience is a concern. This study aimed to investigate the inter-reader reproducibility of rCBV measurement of glioblastomas using the hotspot method in dynamic susceptibility contrast perfusion magnetic resonance imaging (DSC-MRI) with various strategies.
Methods: In this institutional review board-approved single-center study, 30 patients with glioblastoma were retrospectively evaluated with DSC-MRI at a 3.0 Tesla scanner. Three groups of reviewers, including neuroradiologists, general radiologists, and radiology residents, calculated the rCBV based on the number of regions of interest (ROIs) and reference areas. For statistical analysis of feature reproducibility, the intraclass correlation coefficient (ICC) and Bland-Altman plots were used. Analyses were made among individuals, reader groups, reader-group pooling, and a population that contained all of them.
Results: For individuals, the highest inter-reader reproducibility was observed between neuroradiologists [ICC: 0.527; 95% confidence interval (CI): 0.21-0.74] and between residents (ICC: 0.513; 95% CI: 0.20-0.73). There was poor reproducibility in the analyses of individuals with different levels of experience (ICC range: 0.296-0.335) and in reader-wise and group-wise pooling (ICC range: 0.296-0.335 and 0.397-0.427, respectively). However, an increase in ICC values was observed when five ROIs were used. In an analysis of all strategies, the ICC for the centrum semiovale was significantly higher than that for contralateral white matter ( < 0.001).
Conclusion: The inter-reader reproducibility of rCBV measurement was poor to moderate regardless of whether it was calculated by neuroradiologists, general radiologists, or residents, which may indicate the need for automated methods. Choosing five ROIs and using the centrum semiovale as a reference area may increase reliability for all users.
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http://dx.doi.org/10.4274/dir.2023.232442 | DOI Listing |
Radiology
December 2024
From the Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, Calif (M.S.S., S.C., Z.F., N.A., S.N.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); Department of Radiology, Mayo Clinic, Scottsdale, Ariz (L.S.H., Y.Z.); Division of Neuroradiology, Department of Radiology, Duke University School of Medicine, Durham, NC (D.P.B.); Invicro, Needham, Mass (L.B.); Clinical Imaging Group, Genentech, South San Francisco, Calif (L.C.B.); Imaging Core Laboratory, American College of Radiology, Philadelphia, Pa (M.A.B., L.C.); Section of Neuroradiology, Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI (J.L.B.); National Institute of Standards and Technology, Boulder, Colo (K.E.K.); Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th St, CNY 2301, Charlestown, MA 02129 (J.E.K., L.R., O.W.); Barrows Neurologic Institute, Phoenix, Ariz (C.C.Q.); Cancer Systems Imaging, MD Anderson Cancer Center, Houston, Tex (C.C.Q.); Department of Radiology, Division of Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, Pa (M.A.R.); College of Undergraduate Studies, University of Central Florida, Orlando, Fla (L.R.); Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wis (K.M.S.); Independent Consultant, Basel, Switzerland (G.Z.); and Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.).
The dynamic susceptibility contrast (DSC) MRI measures of relative cerebral blood volume (rCBV) play a central role in monitoring therapeutic response and disease progression in patients with gliomas. Previous investigations have demonstrated promise of using rCBV in classifying tumor grade, elucidating tumor viability after therapy, and differentiating pseudoprogression and pseudoresponse. However, the quantification and reproducibility of rCBV measurements across patients, devices, and software remain a critical barrier to routine or clinical trial use of longitudinal DSC MRI in patients with gliomas.
View Article and Find Full Text PDFNeuroradiology
August 2024
Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Introduction: Dynamic susceptibility contrast (DSC) perfusion weighted (PW)-MRI can aid in differentiating treatment related abnormalities (TRA) from tumor progression (TP) in post-treatment glioma patients. Common methods, like the 'hot spot', or visual approach suffer from oversimplification and subjectivity. Using perfusion of the complete lesion potentially offers an objective and accurate alternative.
View Article and Find Full Text PDFBiomedicines
April 2024
Radiation Oncology Department, University Hospital, 29200 Brest, France.
Purpose: The accuracy of target delineation in radiation treatment planning of high-grade gliomas (HGGs) is crucial to achieve high tumor control, while minimizing treatment-related toxicity. Magnetic resonance imaging (MRI) represents the standard imaging modality for delineation of gliomas with inherent limitations in accurately determining the microscopic extent of tumors. The purpose of this study was to assess the survival impact of multi-observer delineation variability of multiparametric MRI (mpMRI) and [F]-FET PET/CT.
View Article and Find Full Text PDFDiagn Interv Radiol
March 2024
University of Health Sciences, Başakşehir Çam and Sakura City Hospital, Clinic of Radiology, İstanbul, Türkiye
Purpose: The reproducibility of relative cerebral blood volume (rCBV) measurements among readers with different levels of experience is a concern. This study aimed to investigate the inter-reader reproducibility of rCBV measurement of glioblastomas using the hotspot method in dynamic susceptibility contrast perfusion magnetic resonance imaging (DSC-MRI) with various strategies.
Methods: In this institutional review board-approved single-center study, 30 patients with glioblastoma were retrospectively evaluated with DSC-MRI at a 3.
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