Jonathan C Hooker
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Explore the profile of Jonathan C Hooker including associated specialties, affiliations and a list of published articles.
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24
Citations
577
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Recent Articles
1.
Tang A, Dzyubak B, Yin M, Schlein A, Henderson W, Hooker J, et al.
Eur Radiol
. 2021 Dec;
32(5):2937-2948.
PMID: 34928415
Objectives: To assess reproducibility and fibrosis classification accuracy of magnetic resonance elastography (MRE)-determined liver stiffness measured manually at two different centers, and by automated analysis software in adults with nonalcoholic...
2.
Qu Y, Middleton M, Loomba R, Glaser K, Chen J, Hooker J, et al.
Eur Radiol
. 2021 Apr;
31(11):8408-8419.
PMID: 33899143
Objectives: To investigate associations between histology and hepatic mechanical properties measured using multiparametric magnetic resonance elastography (MRE) in adults with known or suspected nonalcoholic fatty liver disease (NAFLD) without histologic...
3.
Sawh M, Newton K, Goyal N, Angeles J, Harlow K, Bross C, et al.
J Magn Reson Imaging
. 2019 Aug;
51(3):919-927.
PMID: 31452280
Background: Magnetic resonance elastography (MRE) can determine the presence and stage of liver fibrosis. Data on normative MRE values, while reported in adults, are limited in children. Purpose: To determine...
4.
Hong C, Hamilton G, Hooker C, Park C, Tran C, Henderson W, et al.
Abdom Radiol (NY)
. 2019 Jun;
44(10):3295-3303.
PMID: 31172210
Purpose: This study compares splenic proton density fat fraction (PDFF) measured using confounder-corrected chemical shift-encoded (CSE)-MRI to magnetic resonance spectroscopy (MRS) in human patients at 3T. Methods: This was a...
5.
Hong C, Park C, Mamidipalli A, Hooker J, Dehkordy S, Igarashi S, et al.
Eur Radiol
. 2019 Feb;
29(9):5073-5081.
PMID: 30809719
Objectives: This study assesses the risk of progression of Liver Imaging Reporting and Data System (LI-RADS) categories, and the effects of inter-exam changes in modality or radiologist on LI-RADS categorization....
6.
Dehkordy S, Fowler K, Mamidipalli A, Wolfson T, Hong C, Covarrubias Y, et al.
Eur Radiol
. 2018 Dec;
29(5):2474-2480.
PMID: 30547206
Objectives: The purpose of this study was to (1) evaluate proton density fat fraction (PDFF) distribution across liver segments at baseline and (2) compare longitudinal segmental PDFF changes across time...
7.
Cerny M, Chernyak V, Olivie D, Billiard J, Murphy-Lavallee J, Kielar A, et al.
Radiographics
. 2018 Oct;
38(7):1973-2001.
PMID: 30289735
The Liver Imaging Reporting and Data System (LI-RADS) standardizes performance of liver imaging in patients at risk for hepatocellular carcinoma (HCC) as well as interpretation and reporting of the results....
8.
Hooker J, Hamilton G, Park C, Liao S, Wolfson T, Dehkordy S, et al.
Abdom Radiol (NY)
. 2018 Aug;
44(2):482-492.
PMID: 30128694
Purpose: To determine the inter-reader agreement of magnetic resonance imaging proton density fat fraction (PDFF) and its longitudinal change in a clinical trial of adults with nonalcoholic steatohepatitis (NASH). Study...
9.
Zhang Y, Fowler K, Hamilton G, Cui J, Sy E, Balanay M, et al.
Br J Radiol
. 2018 May;
91(1089):20170959.
PMID: 29722568
Hepatic steatosis is a frequently encountered imaging finding that may indicate chronic liver disease, the most common of which is non-alcoholic fatty liver disease. Non-alcoholic fatty liver disease is implicated...
10.
Park C, Hooker C, Hooker J, Bass E, Haufe W, Schlein A, et al.
J Magn Reson Imaging
. 2018 May;
49(1):229-238.
PMID: 29707848
Background: Improving the signal-to-noise ratio (SNR) of chemical-shift-encoded MRI acquisition with complex reconstruction (MRI-C) may improve the accuracy and precision of noninvasive proton density fat fraction (PDFF) quantification in patients...