We used a novel 2-paramenter pharmacokinetic modeling framework that allows biosignatures to be extracted from dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) studies that contain 3-6 timepoints spaced 60-90 seconds apart. These parameters, referred to as P1 and P2,…
Currently, a lack of tests to differentiate patients likely to respond to IO vs. poor responders precludes a tailored approach to immunotherapy. Here we describe an imaging biomarker that allows physicians to target breast cancer patients with the highest likelihood…
Despite chemotherapeutic advances, surgery remains a putative treatment modality for breast cancer. The type of surgery chosen, and its ultimate clinical and cosmetic consequences, depends on a surgeon’s ability to accurately assess a tumor’s size, distribution, and position in the…
In order to accurately evaluate the potential success of various surgical options, a surgeon must mentally translate these 2D images into more realistic, 3D image to visualize breast and tumor morphologies.
We developed the TumorScope engine, a software platform that utilizes pretreatment diagnostic data to build a computational tumor model that simulates in vivo tumor characteristics and interactions, incorporating morphology, metabolism, vascularity, and nutrient and drug delivery.
To drive further utility, we now investigate a pCR score as a continuous outcome (0-100) to establish a prognostic system that evaluates the predictive probability that a patient will achieve pCR with any SOC NAT regimen.
Our results demonstrated that the local nutrient composition has a dramatic impact on T cell functionality, with fundamental cellular behaviors being significantly impaired by a reduction in key nutrients such as glucose and oxygen.
Here, we present a proof-of-concept approach for the rapid, non-invasive assessment of immunotherapy response prediction using biomarker imaging signatures.
Here we performed a proof-of-concept study using trastuzumab emtansine (TDM1), a targeted drug for HER2-enriched breast cancer, to demonstrate how biophysical modeling can support dose selection in phase I clinical trials.
The last decade in cancer care has been defined by the rapid emergence (and in some cases, dominance), of monoclonal antibody therapies, where they serve as a critical foundation of oncologic care.