James Bankson

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Professor

The University of Texas MD Anderson Cancer Center

United States

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James Bankson is a Professor at The University of Texas MD Anderson Cancer Center in the United States. His research primarily focuses on advanced imaging techniques, particularly in the context of cancer metabolism and therapeutic efficacy. Recent contributions include studies on hyperpolarized MRI methods and metabolic imaging for tumor evaluation, as well as investigations into lipid oxidation in liver disease models.

Recent Grants

Grant: Close

Multi-Site Development & Evaluation of a Quantitative 3D Hyperpolarized C-13 MRI Clinical Prostate Cancer Exam

Open Date: 2017-03-01

Close Date: 2022-02-28

Grant: Close

Imaging Hepatic Gluconeogenesis with Hyperpolarized Dihydroxyacetone

Open Date: 2016-07-30

Close Date: 2021-06-30

Grant: Close

P5: Fast Imaging Methods for Hyperpolarized Nuclei

Open Date: 2014-02-19

Close Date:

Grant: Close

Fast Imaging Methods for Hyperpolarized Nuclei [Novel MRI and MRS Methods for Imaging Cancer Metabolism]

Open Date: 2010-06-18

Close Date:

Articles (14)

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2025

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2020

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2020

Collaborators (11)

Nikolaj Bøgh

Aarhus University

DENMARK

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Matthew Merritt

Associate Professor

University of Florida

UNITED STATES

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Brian Law

University of Florida

UNITED STATES

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Stephen Lai

Professor (Dual/Adjunct)

The University of Texas MD Anderson Cancer Center

UNITED STATES

GERMANY

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Ken-Pin Hwang

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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James Bankson

Research Interests

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About

Recent Grants

Articles (14)

Assessing Cancer Therapeutic Efficacy In vivo Using [2H7]Glucose Deuterium Metabolic Imaging

Current methods for hyperpolarized [1‐13C]pyruvate MRI human studies

New Horizons in Hyperpolarized 13C MRI

Detecting altered hepatic lipid oxidation by MRI in an animal model of MASLD

First-in-Human Hyperpolarized MRI for Tumor Metabolism in HNSCC

Evolution of cisplatin resistance through coordinated metabolic reprogramming of the cellular reductive state

Model‐constrained reconstruction accelerated with Fourier‐based undersampling for hyperpolarized [1‐13C] pyruvate imaging

Mutual-information based optimal experimental design for hyperpolarized 13C-pyruvate MRI

A Simulation of the Effects of Diffusion on Hyperpolarized [1-13C]-Pyruvate Signal Evolution

Plasmonic gadolinium oxide nanomatryoshkas: bifunctional magnetic resonance imaging enhancers for photothermal cancer therapy

Gd 2 O 3 -mesoporous silica/gold nanoshells: A potential dual T 1 / T 2 contrast agent for MRI-guided localized near-IR photothermal therapy

Development and application of an elastic net logistic regression model to investigate the impact of cardiac substructure dose on radiation-induced pericardial effusion in patients with NSCLC

An information theory model for optimizing quantitative magnetic resonance imaging acquisitions

Slice profile effects on quantitative analysis of hyperpolarized pyruvate

Collaborators (11)

Nikolaj Bøgh

Matthew Merritt

Brian Law

Stephen Lai

Franz Schilling

Jeremy Gordon

Alex Walsh

Myriam Chaumeil

Joshua Niedzielski

Jan‐Bernd Hövener

Ken-Pin Hwang

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