This work presents a public project on the Cancer Genomics Cloud (CGC) platform for reproducible, out-of-the-box application of analysis workflows for pre-trained radiological and radiotherapy AI models; the first and only such project supporting analysis of...
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Amita Shukla-Dave, PhD
Department of Radiology, Memorial Sloan Kettering Cancer Center
Tumor hypoxia drives radio-resistance in Head & Neck cancer (HNC) and can guide radiation dose de-escalation. Tumor hypoxia can be imaged using 18F-fluoromisonidazole (FMISO-PET; non-standard-of-care). Because hypoxia drives glycolysis, we assessed correlatio...
Differentiating radiation necrosis (RN) from tumor recurrence (TR) after radiotherapy remains challenging using conventional MRI. We investigated dynamic contrast-enhanced MRI (DCE-MRI) analysis using unbalanced regularized optimal mass transport (urOMT) to q...
To quantify and visualize tumor microenvironment transport behavior in longitudinal breast DCE-MRI acquired during neoadjuvant chemotherapy (NACT), and to develop image-based biomarkers for predicting therapeutic response