Mohan Pauliah1, Kyung K. Peck1,2,
Yoshiya Josh Yamada3, Eric Lis1,4, Michelle S. Bradbury1,5,
Sasan Karimi1
1Radiology, Memorial Sloan
Kettering Cancer Center, New York, United States; 2Medical
Physics, Memorial Sloan Kettering Cancer Center, New York, United States; 3Radiation
Oncology, Memorial Sloan Kettering Cancer Center, New York, United States; 4Interventional
Radiology, Memorial Sloan Kettering Cancer Center, New York, United States; 5Molecular
Imaging, Memorial Sloan Kettering Cancer Center, New York, United States
Noninvasive characterization of the vascular microenvironment has not been fully investigated in bone marrow diseases. Current clinical evaluations and prognosis based on conventional MRI are markedly limited. Measuring the changes in tumor hemodynamics would give insight into tumor heterogeneity. We aimed to develop an imaging biomarker to facilitate the decision-making process and establish a robust technique to unravel the complexity of tumor vasculature that may aid in therapeutic management by employing the improved T1 weighted DCE MR algorithm. We propose a non-invasive technique to improve the accuracy of perfusion metrics of bone marrow and enable visual appreciation that characterize marrow heterogeneity and differentiate between different conditions that affect the marrow pathophysiologically.
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