Boxerman, Jerrold L
Mayo Clinic
Rhode Island Hospital and Alpert Medical School of Brown University, Department of Diagnostic Imaging, Providence, Rhode Island, United States.
Citations 3
The QIBA Profile for Dynamic Susceptibility Contrast MRI Quantitative Imaging Biomarkers for Assessing Gliomas
Shiroishi, Mark S. , Erickson, Bradley J. , Hu, Leland , Barboriak, Daniel P. , Becerra, Lino , Bell, Laura C. , Boss, Michael A. , Boxerman, Jerrold L. , Cen, Steven , Cimino, Lisa , Fan, Zhaoyang , Kirsch, John E. , Ameli, N. O. , Nazemi, Sina , Quarles, C. Chad , Rosen, Mark A. , Rodríguez, Luis Salvador, Zahlmann, Gudrun , Obuchowski, Nancy A. , Wu, Ona , Hu, Leland S., Chakhoyan, Ararat , Graaf, Wolter de, Dhakal, Kiran , Erickson, Bradley J., Kadbi, Mo , Quarles, Christopher Chad, Rodríguez, Luis G. , Rosen, Mark, Hu, Leland S , Keenan, Kathryn E , Kirsch, John E , Ameli, Nima , Nazemi, Sina , Quarles, C Chad , Rosen, Mark A , Rodriguez, Luis , Schmainda, Kathleen M , Zahlmann, Gudrun , Zhou, Yuxiang , Obuchowski, Nancy , Wu, Ona , Boxerman, Jerrold L , Boss, Michael A , Erickson, Bradley J , Barboriak, Daniel P , Bell, Laura C , Keenan, Kathryn E. , Zhou, Yuxiang , Hu, Leland S., Conte, Gian Marco , Ellingson, Benjamin M. , Emblem, Kyrre E , Erickson, Bradley J., Quarles, Christopher Chad
Radiology | December 10, 2024 | Volume: 313 | Issue: 3 | Pages: No page available
The Quantitative Imaging Biomarkers Alliance Profile for dynamic susceptibility contrast (DSC) MRI and its longitudinal claims for the precision of a DSC MRI–derived quantitative imaging biomarker to assess the relative cerebral blood volume changes in gliomas are summarized.
Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data
Mitchell, J. Ross , Kamnitsas, Konstantinos , Singleton, Kyle , Whitmire, Scott A., Clark-Swanson, Kamala , Ranjbar, Sara , Rickertsen, Cassandra , Johnston, Sandra K. , Egan, Kathleen M. , Rollison, Dana E. , Arrington, John A., Krecke, Karl N. , Passe, Theodore J. , Verdoorn, Jared T. , Nagelschneider, Alex A. , Patton, Alice , Eckel, Laurence J. , Wood, Christopher P. , Nelson, Kent D., Patel, Ameet C. , Chong, Brian W. , Vogelbaum, Michael A. , Hu, Leland , Swanson, Kristin R. , Mitchell, Joseph Ross , Singleton, Kyle W , Clark-Swanson, Kamala R., Rickertsen, Cassandra R, Arrington, John , Carr, Carrie M. , Port, John D , Campeau, Norbert G , Liebo, Greta B. , Wood, Christopher P , Hunt, Christopher H , Vibhute, Prasanna , Hoxworth, Joseph M , Chong, Brian , Ross, Jeffrey S , Boxerman, Jerrold L , Glocker, Ben , Swanson, Kristin R , Port, John D. , Campeau, Norbert G. , Hunt, Christopher H. , Hoxworth, Joseph M. , Ross, Jeffrey S. , Boxerman, Jerrold L.
Journal of Medical Imaging | October 16, 2020 | Volume: 7 | Issue: 05 | Pages: No page available
Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas
Boxerman, Jerrold L. , Quarles, C. Chad , Hu, Leland , Gerstner, Elizabeth R. , Smits, Marion , Barboriak, Daniel P. , Huang, Raymond, Wick, Wolfgang , Weller, Michael , Kalpathy–Cramer, Jayashree , Shankar, Lalitha , Jacobs, Paula , Chung, Caroline , Bent, Martin J. van den , Chang, Susan M. , Yung, Wai Kuen, Wen, Patrick Y. , Rosen, Bruce R. , Arons, David F., Kingston, Ann E, Sandak, David, Wallace, M. Z., Musella, Al , Haynes, Chas, Weller, Michael , van den Bent, Martin J , Boxerman, Jerrold L , Wick, Wolfgang , Smits, Marion , Barboriak, Daniel P , Erickson, Bradley J. , Kaufmann, Timothy J. , Galanis, Evanthia , Chang, Susan Marina , Yung, W K Al, Cloughesy, Timothy F. , Wen, Patrick Yung , Gilbert, Mark R. , Ellingson, Benjamin M. , Schmainda, Kathleen M
Neuro-Oncology | June 3, 2020 | Volume: 22 | Issue: 9 | Pages: 1262-1275
Abstract Despite the widespread clinical use of dynamic susceptibility contrast (DSC) MRI, DSC-MRI methodology has not been standardized, hindering its utilization for response assessment in multicenter trials. Recently, the DSC-MRI Standardization Subcommittee of the Jumpstarting Brain Tumor Drug Development Coalition issued an updated consensus DSC-MRI protocol compatible with the standardized brain tumor imaging protocol (BTIP) for high-grade gliomas that is increasingly used in the clinical setting and is the default MRI protocol for the National Clinical Trials Network. After reviewing the basis for controversy over DSC-MRI protocols, this paper provides evidence-based best practices for clinical DSC-MRI as determined by the Committee, including pulse sequence (gradient echo vs spin echo), BTIP-compliant contrast agent dosing (preload and bolus), flip angle (FA), echo time (TE), and post-processing leakage correction. In summary, full-dose preload, full-dose bolus dosing using intermediate (60°) FA and field strength-dependent TE (40–50 ms at 1.5 T, 20–35 ms at 3 T) provides overall best accuracy and precision for cerebral blood volume estimates. When single-dose contrast agent usage is desired, no-preload, full-dose bolus dosing using low FA (30°) and field strength-dependent TE provides excellent performance, with reduced contrast agent usage and elimination of potential systematic errors introduced by variations in preload dose and incubation time.