Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge
| Autor: | Thomas L. Chenevert, Jerrold L. Boxerman, Panagiotis Korfiatis, Melissa Prah, Laura C. Bell, Neal Rutledge, Bradley J. Erickson, Cihat Eldeniz, Ananth J. Madhuranthakam, Richard L. Wahl, Hongyu An, Dariya I. Malyarenko, Leland S. Hu, Yichu Liu, Kathleen M. Schmainda, Natenael B. Semmineh, Yuxiang Zhou, Anna G. Sorace, Yi-Fen Yen, Thomas E. Yankeelov, Mark Muzi, Andrew Beers, C. Chad Quarles, Brian C. Johnson, Chengyue Wu, Andrew Brenner, Marco C. Pinho, Jayashree Kalpathy-Cramer |
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| Rok vydání: | 2020 |
| Předmět: |
Treatment response
DSC-MRI Computer science Brain tumor Contrast Media Tumor grade Software Reference Values medicine Cerebral Blood Volume Humans Radiology Nuclear Medicine and imaging Digital reference Research Articles Retrospective Studies standardization Reproducibility relative cerebral blood volume medicine.diagnostic_test business.industry Brain Neoplasms Reproducibility of Results treatment response Magnetic resonance imaging digital reference object multisite consistency tumor grading medicine.disease Magnetic Resonance Imaging Neoplasm Grading business Classifier (UML) Biomedical engineering |
| Zdroj: | Tomography Tomography; Volume 6; Issue 2; Pages: 203-208 Volume 6 Issue 2 Pages 203-208 |
| ISSN: | 2379-139X |
| Popis: | We have previously characterized the reproducibility of brain tumor relative cerebral blood volume (rCBV) using a dynamic susceptibility contrast magnetic resonance imaging digital reference object across 12 sites using a range of imaging protocols and software platforms. As expected, reproducibility was highest when imaging protocols and software were consistent, but decreased when they were variable. Our goal in this study was to determine the impact of rCBV reproducibility for tumor grade and treatment response classification. We found that varying imaging protocols and software platforms produced a range of optimal thresholds for both tumor grading and treatment response, but the performance of these thresholds was similar. These findings further underscore the importance of standardizing acquisition and analysis protocols across sites and software benchmarking. |
| Databáze: | OpenAIRE |
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