A5071125868- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Pancreatic and Hepatic Oncology Research
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
- Analytical Chemistry and Sensors
- Advanced biosensing and bioanalysis techniques
- Microfluidic and Bio-sensing Technologies
- Pancreatitis Pathology and Treatment
University of Pennsylvania
2022-2024
University of Notre Dame
2020
KPC (KrasG12D:Trp53R172H:Pdx1-Cre) and CKS (KrasG12D:Smad4L/L:Ptf1a-Cre) mice are genetically engineered mouse (GEM) models that capture features of human pancreatic ductal adenocarcinoma (PDAC) intraductal papillary mucinous neoplasms (IPMN), respectively. We compared these autochthonous tumors using quantitative imaging metrics from diffusion-weighted MRI (DW-MRI) dynamic contrast enhanced (DCE)-MRI in reference to histological including cell density, fibrosis, microvasculature density....
Application of quantitative dynamic contrast-enhanced (DCE) MRI in mouse models abdominal cancer is challenging due to the effects RF inhomogeneity, image corruption from rapid respiratory motion and need for high spatial temporal resolutions. Here we demonstrate a DCE protocol optimized such applications. The method consists three acquisitions: (1) actual flip-angle B1 mapping, (2) variable T1 mapping (3) acquisition series using motion-robust radial strategy with k-space weighted contrast...
To accelerate radially sampled diffusion weighted spin-echo (Rad-DW-SE) acquisition method for generating high quality ADC maps.A deep learning was developed to generate accurate maps from accelerated DWI data acquired with the Rad-DW-SE method. The integrates convolutional neural networks (CNNs) vision transformers data, regularized by a monoexponential model fitting term. A trained on of 147 mice and evaluated 36 mice, acceleration factors 4× 8× compared original parameters.Ablation...
Abstract Hypothesis: The dense stroma present in pancreatic ductal adenocarcinoma (PDA) harbors a unique tumor microenvironment (TME) that is immune suppressive and underlies the chemo-resistance of PDA. We have evaluated synthetic vitamin D combined with chemoimmunotherapy pilot clinical study (NCT03519308). To elucidate underlying mechanisms this treatment, we designed matched genetically engineered mouse model PDA (KPC mice) to test hypothesis enhances effect chemotherapy or without...
Abstract Introduction Pancreatic ductal adenocarcinoma (PDA) is a deadly cancer with limited treatment options. Oncogene KRAS mutations found in majority of PDA patients KRAS(G12D) mutation being the most common. A new specific inhibitor, MRTX1133 has been shown to induce rapid tumor regression models while effect on stroma only revealed by postmortem analyses specimens, making it hard assess dynamics remodeling. Furthermore, clinical testing KRAS(G12C) ~50% responded despite presence...
Motivation: KRAS mutations occur in 90% of pancreatic ductal adenocarcinoma(PDA) with G12Dmutation being the most common.Recent KRAS(G12D) inhibitors have unraveled an exciting therapeutic opportunity for this deadly cancer,as they are tested clinical trials. Goal(s): However, prior use KRAS(G12C)inhibitors lung cancer treatment showed mere 50% patient response,despite accurate genetic mutation,calling biomarkers which can assess drug-target engagement early on and predict outcome. Approach:...
Intraductal Papillary Mucinous Neoplasms (IPMN) are recognized as important precursors to invasive pancreatic ductal adenocarcinoma (PDAC). While IPMN requires surveillance without treatment, a clinical marker is lacking which can identify those undergoing malignant transformation. In two genetic engineered mouse models (KPC and CKS), resemble human PDAC IPMN, respectively, we tested the hypothesis that differences in cellular architecture stromal features between present themselves DW-MRI...
Dynamic contrast enhanced MRI data in the abdomens of small animal models is often corrupted due to effects respiratory and peristaltic motion. Here a DCE protocol that employs stack stars sampling throughout was implemented shown be robust with respect motion artifacts. The scheme also facilitates image reconstruction methods employ view sharing, notably KWIC, yielding images high temporal spatial resolution. demonstrated an orthotopic murine model pancreatic cancer. resulting were analyzed...
Purpose: To accelerate radially sampled diffusion weighted spin-echo (Rad-DW-SE) acquisition method for generating high quality apparent coefficient (ADC) maps. Methods: A deep learning was developed to generate accurate ADC maps from accelerated DWI data acquired with the Rad-DW-SE method. The integrates convolutional neural networks (CNNs) vision transformers data, regularized by a monoexponential model fitting term. trained on of 147 mice and evaluated 36 mice, acceleration factors 4x 8x...