A5068467681- Radiomics and Machine Learning in Medical Imaging
- Glioma Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Brain Tumor Detection and Classification
- Liver Disease Diagnosis and Treatment
- Lanthanide and Transition Metal Complexes
- MRI in cancer diagnosis
- Hepatitis B Virus Studies
- Liver Disease and Transplantation
Imaging Biometrics (United States)
2018-2023
Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis spatially matched molecular and multi-parametric magnetic resonance imaging (MRI) profiling across 313 multi-regional biopsies, including 111 from NE, 68 HGG patients. Whole exome RNA sequencing uncover unique genomic alterations to unresectable NE tumor, subclonal events, which inform...
<h3>BACKGROUND AND PURPOSE:</h3> Standard assessment criteria for brain tumors that only include anatomic imaging continue to be insufficient. While numerous studies have demonstrated the value of DSC-MR perfusion metrics this purpose, they not been incorporated due a lack confidence in consistency across sites and platforms. This study addresses limitation with comparison multisite/multiplatform analyses shared datasets patients tumors. <h3>MATERIALS METHODS:</h3> data were collected after...
In single-institution multireader studies, the liver surface nodularity (LSN) score accurately detects advanced fibrosis and cirrhosis predicts decompensation in patients with chronic disease (CLD) from hepatitis C virus (HCV).
Introduction 1.5 Tesla (1.5T) remain a significant field strength for brain imaging worldwide. Recent computer simulations and clinical studies at 3T MRI have suggested that dynamic susceptibility contrast (DSC) using 30° flip angle (“low-FA”) with model-based leakage correction no gadolinium-based agent (GBCA) preload provides equivalent relative cerebral blood volume (rCBV) measurements to the reference-standard acquisition single-dose GBCA 60° (“intermediate-FA”) correction. However, it...
Motivation: To benchmark multi-echo based DSC-MRI SAGE sequence, a compelling alternative to single echo acquisition analysis tool that is targeted for clinical translation. Goal(s): Comparison of rCBV values derived from the two software (IB Neuro X2, in-house algorithm). Approach: We expanded single-echo brain tumor digital reference object (DRO) into an anthropomorphic phantom recapitulates data structure and anatomy. Results: The obtained both softwares are strongly correlated. Impact:...