A5070590699- Acute Ischemic Stroke Management
- Cerebrovascular and Carotid Artery Diseases
- MRI in cancer diagnosis
- Lymphoma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Liver Disease Diagnosis and Treatment
- Advanced MRI Techniques and Applications
- Traumatic Brain Injury and Neurovascular Disturbances
- Cardiovascular Health and Disease Prevention
- Atomic and Subatomic Physics Research
- Medical Imaging Techniques and Applications
- Medical Imaging and Analysis
- Hepatocellular Carcinoma Treatment and Prognosis
- Artificial Intelligence in Healthcare and Education
- Radiation Dose and Imaging
- Electrical and Bioimpedance Tomography
- Intracranial Aneurysms: Treatment and Complications
- Artificial Intelligence in Healthcare
- Lung Cancer Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
- Brain Tumor Detection and Classification
- Cerebral Venous Sinus Thrombosis
- Lung Cancer Treatments and Mutations
- CNS Lymphoma Diagnosis and Treatment
- Pancreatic and Hepatic Oncology Research
Cornell University
2016-2019
Weill Cornell Medicine
2016-2019
Greenfield Research (Canada)
2018-2019
Presbyterian Hospital
2018
MIND Research Institute
2018
Icahn School of Medicine at Mount Sinai
2013-2017
To develop a highly accelerated phase-contrast cardiac-gated volume flow measurement (four-dimensional [4D] flow) magnetic resonance (MR) imaging technique based on spiral sampling and dynamic compressed sensing to compare this with established techniques for the quantification of blood in abdominal vessels.This single-center prospective study was compliant HIPAA approved by institutional review board. Ten subjects (nine men, one woman; mean age, 51 years; age range, 30-70 years) were...
Background Thromboembolism from nonstenosing carotid plaques may be an underrecognized cause of embolic strokes undetermined source (ESUS). We evaluated the association between features atherosclerotic plaque on computed tomographic angiography and ESUS. Methods Results identified consecutive acute ischemic stroke patients 2011 to 2015 who had unilateral anterior territory infarction brain magnetic resonance imaging a neck angiography. included ESUS cases as controls, cardioembolic strokes....
To correlate intra voxel incoherent motion (IVIM) diffusion parameters of liver parenchyma and hepatocellular carcinoma (HCC) with degree liver/tumor enhancement necrosis; to assess the diagnostic performance vs. ratios (ER) for prediction complete tumor necrosis. In this IRB approved HIPAA compliant study, we included 46 patients HCC who underwent IVIM diffusion-weighted (DW) MRI in addition routine sequences at 3.0 T. True coefficient (D), pseudo-diffusion (D*), perfusion fraction (PF)...
OBJECTIVE. The objective of our study was to evaluate the performance a high-spatial-resolution 2D phase-contrast (PC) MRI technique accelerated with compressed sensing for portal vein (PV) and hepatic artery (HA) flow quantification in comparison standard PC sequence. SUBJECTS AND METHODS. In this prospective study, two sequences were compared, one parallel imaging acceleration low spatial resolution (generalized autocalibrating partial acquisition [GRAPPA]) high (sparse). Seventy-six...
8555 Background: Previous studies in cHL have demonstrated that conventional methods to risk stratify patients into various prognostic groups and predict PFS may not be sufficient individualize therapy. Metabolic parameters using FDG-PET helpful for developing a algorithm PFS. Objectives: To determine the best predictor of among variables tm metabolic measurements at baseline interim PET/CT compared patients. Methods: Retrospective evaluation prospectively acquired data 58 pts, all stages...
We assessed whether providing detailed clinical information alongside computed tomography (CT) images improves their interpretation for acute stroke.Using the prospective Cornell AcutE Stroke Academic Registry, we randomly selected 100 patients who underwent noncontrast head CT within 6 hours of transient ischemic attack or minor stroke and magnetic resonance imaging (MRI) CT. Three radiologist investigators evaluated each studies twice, once with without accompanying on medical history,...
Introduction: Deep learning is a novel machine approach that enables automated extraction and classification of imaging features. We aimed to use deep enhance detection brain infarction. Methods: Patients with acute ischemic stroke admitted our institution between 2011-2015 were prospectively registered in an IRB-approved database. On subset these patients, radiologists annotated the images by marking infarct area. Data was split randomly into training set test (80:20). models, including 3D...
Introduction: Computed tomography (CT) is widely used for suspected acute ischemic stroke. Radiologists often interpret these scans with limited information and may benefit from more complete knowledge of the clinical situation. Hypothesis: Providing detailed improves interpretation CTs Methods: In prospective Cornell AcutE Stroke Academic Registry (CAESAR), we randomly selected 100 patients who underwent noncontrast head CT within 6 hours transient attack (TIA) or minor stroke (National...
Introduction: The computed tomography (CT) capabilities of mobile stroke units (MSUs) may facilitate prehospital triaging patients with suspected large-vessel occlusion directly to thrombectomy-capable centers. However, little is known about the reliability radiological interpretation early ischemic changes on CTs. Methods: We identified all transported by NewYork-Presbyterian MSU Weill Cornell Medical Center diagnosis acute stroke, transient attack, or mimic between October 3, 2016 and...