Prashant Nagpal

ORCID: 0000-0003-2347-034X
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About
Contact & Profiles
Research Areas
  • Cardiac Imaging and Diagnostics
  • Advanced MRI Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Medical Imaging Techniques and Applications
  • Ultrasound in Clinical Applications
  • Venous Thromboembolism Diagnosis and Management
  • Radiomics and Machine Learning in Medical Imaging
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Aortic Disease and Treatment Approaches
  • Cardiovascular Function and Risk Factors
  • Cardiac Valve Diseases and Treatments
  • Medical Image Segmentation Techniques
  • Atomic and Subatomic Physics Research
  • Aortic aneurysm repair treatments
  • Respiratory Support and Mechanisms
  • Vascular Procedures and Complications
  • Cardiac Structural Anomalies and Repair
  • COVID-19 Clinical Research Studies
  • Infective Endocarditis Diagnosis and Management
  • Coronary Artery Anomalies
  • MRI in cancer diagnosis
  • Congenital Heart Disease Studies
  • Vascular anomalies and interventions
  • Hepatocellular Carcinoma Treatment and Prognosis

University of Iowa
2017-2025

University of Wisconsin–Madison
2021-2025

Highland Community College - Illinois
2023

University of Miami
2023

Yale University
2023

University of Iowa Hospitals and Clinics
2015-2022

UW Health University Hospital
2022

Iowa City VA Health Care System
2021

Veterans Health Administration
2021

Hospital de Sant Pau
2021

Background The long-term effects of SARS-CoV-2 infection on pulmonary structure and function remain incompletely characterized. Purpose To test whether leads to small airways disease in patients with persistent symptoms. Materials Methods In this single-center study at a university teaching hospital, adults confirmed COVID-19 who remained symptomatic more than 30 days following diagnosis were prospectively enrolled from June December 2020 compared healthy participants (controls) March August...

10.1148/radiol.212170 article EN Radiology 2022-03-15

Quantitative CT is becoming increasingly common for the characterisation of lung disease; however, its added potential as a clinical tool predicting severe exacerbations remains understudied. We aimed to develop and validate quantitative CT-based models chronic obstructive pulmonary disease (COPD) exacerbations.

10.1016/s2589-7500(22)00232-1 article EN cc-by-nc-nd The Lancet Digital Health 2023-01-26

We introduce a kernel low-rank algorithm to recover free-breathing and ungated dynamic MRI from spiral acquisitions without explicit k-space navigators. It is often challenging for methods images undersampled measurements; extensive cardiac respiratory motion results in the Casorati matrix not being sufficiently low-rank. Therefore, we exploit non-linear structure of data, which gives matrix. Unlike prior work that rely on navigators estimate manifold structure, propose completion method...

10.1109/tmi.2020.3008329 article EN IEEE Transactions on Medical Imaging 2020-07-09

We introduce a generative smoothness regularization on manifolds (SToRM) model for the recovery of dynamic image data from highly undersampled measurements. The assumes that images in dataset are non-linear mappings low-dimensional latent vectors. use deep convolutional neural network (CNN) to represent transformation. parameters generator as well vectors jointly estimated only This approach is different traditional CNN approaches require extensive fully sampled training data. penalize norm...

10.1109/tmi.2021.3065948 article EN IEEE Transactions on Medical Imaging 2021-03-15

Rationale and Objectives Pulmonary magnetic resonance angiography (MRA) is an imaging method with proven utility for the exclusion of pulmonary embolism avoids need ionizing radiation iodinated contrast agents. High-relaxivity gadolinium-based agents (GBCAs), such as gadopiclenol, can be used to reduce required gadolinium dose MRA. The aim this study was compare enhancement performance gadopiclenol established gadobenate dimeglumine–enhanced MRA protocol. Materials Methods In retrospective...

10.1097/rli.0000000000001154 article EN cc-by-nc-nd Investigative Radiology 2025-01-23

Background: Coronary plaque features are imaging biomarkers of cardiovascular risk, but less is known about sex-specific patterns in their prognostic value. This study aimed to define sex differences the coronary atherosclerotic phenotypes assessed by artificial intelligence-based quantitative computed tomography (AI-QCT) and associated risk major adverse events (MACE). Methods: Global multicenter registry (CONFIRM2) including symptomatic patients with suspicion CAD referred for CTA. AI-QCT...

10.1161/circimaging.125.018235 article EN Circulation Cardiovascular Imaging 2025-03-31

Background: Pulmonary hypertension due to heart failure with preserved ejection fraction (PH HFpEF) is a highly heterogeneous disease associated right ventricular (RV) and adverse outcomes. Current diagnostic tools inadequately characterize pulmonary vascular RV dysfunction, limiting treatment precision. We hypothesized that deep phenotyping, including invasive hemodynamics, advanced imaging, myocardial transcriptomics, would identify high risk PH HFpEF phenotypes distinct clinical,...

10.1101/2025.05.15.25327467 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2025-05-16

Rationale: Rates of emphysema progression vary in chronic obstructive pulmonary disease (COPD), and the relationships with vascular airway pathophysiology remain unclear. Objectives: We sought to determine if indices peripheral (segmental beyond) arterial dilation measured on computed tomography (CT) are associated a 1-year index (EI; percentage voxels <-950 Hounsfield units) progression. Methods: Five hundred ninety-nine former never-smokers (Global Initiative for Chronic Obstructive Lung...

10.1513/annalsats.202304-383oc article EN Annals of the American Thoracic Society 2024-03-26
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