Julius Juhyun Chung

Dr. Julius Juhyun Chung

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 October 2022 in Magnetic Resonance in Medicine
Verified
Journal Article
Closed access
JCJulius Juhyun Chung
Julius Juhyun Chung
TJTao Jin
Tao Jin

2 September 2024 in Magnetic Resonance in Medicine
Verified
Journal Article
Closed access
JCJulius Juhyun Chung
Julius Juhyun Chung
HKHahnsung Kim
Hahnsung Kim
YJYang Ji
Yang Ji
DLDongshuang Lu
Dongshuang Lu
IZIris Y. Zhou
Iris Y. Zhou
PSPhillip Sun
Phillip Sun

23 June 2024 in Magnetic Resonance in Medicine
Verified
Journal Article
Closed access
TJTao Jin
Tao Jin
JWJicheng Wang
Jicheng Wang
JCJulius Juhyun Chung
Julius Juhyun Chung
THT. Kevin Hitchens
T. Kevin Hitchens
DSDandan Sun
Dandan Sun
PWPing Wang
Ping Wang

27 November 2023 in Magnetic Resonance in Medicine
Verified
Journal Article
Closed access
TJTao Jin
Tao Jin
JCJulius Juhyun Chung
Julius Juhyun Chung

24 March 2026 in Magnetic Resonance in Medicine
Verified
Journal Article
Closed access
PDF file
JCJulius Juhyun Chung
Julius Juhyun Chung
GIGeun‐Ho Im
Geun‐Ho Im
HKHahnsung Kim
Hahnsung Kim
SKSeong‐Gi Kim
Seong‐Gi Kim
PSPhillip Sun
Phillip Sun

6 May 2026 in Tomography
Verified
Journal Article
Open access
PDF file
JCJulius Juhyun Chung
Julius Juhyun Chung
TMTianwen Ma
Tianwen Ma
PPPhaethon Philbrook
Phaethon Philbrook
ZZZicheng Zhou
Zicheng Zhou
AGAdam Ezra Goldman-Yassen
Adam Ezra Goldman-Yassen
PSPhillip Sun
Phillip Sun
Background/Objectives: Accurate grading of brain gliomas is important, and amide proton transfer-weighted (APTw) MRI shows promise for non-invasive tumor differentiation. This study aimed to perform a comprehensive review and meta-analyses to demonstrate heterogeneity in both the diagnostic accuracy and quantitative consistency of APTw MRI in distinguishing high-grade gliomas (HGGs) from low-grade gliomas (LGGs), highlight issues with reporting standards and identify sources of heterogeneity through meta-regression. Methods: A systematic literature search was conducted between 1 January 2013 and 18 January 2026, following PRISMA guidelines. Peer-reviewed articles in English reporting diagnostic accuracy/contrast values of APTw MRI and study parameters were included. Principal component analysis (PCA) was used to extract the principal components (PCs) of the chemical exchange saturation transfer (CEST) contrast mechanism. Random-effects meta-analyses and univariate meta-regression models using individual CEST parameters and three PCs were performed. Forest plots with pooled estimates were generated. Leave-one-out meta-analysis (LOOMA) and complete case analysis were performed to examine the effects of outliers and missing data, respectively. Results: A total of 31 studies were included. Meta-analyses of the AUC and mean difference demonstrated significant heterogeneity across the studies (I2 = 73.9% & 78.2%, p < 0.001). The mean difference was moderated by one SD within the mean of the readout PC (p = 0.034) and the total PC (p = 0.02). The heterogeneity for the AUC and group mean difference was not substantially reduced by moderating nor LOOMA. The results of the meta-regression using all the data were similar to those using only data with no missing parameters. Conclusions: While APTw MRI shows promise for non-invasively distinguishing glioma grades, substantial heterogeneity in the study parameters limits generalizability. To improve consistency and comparability across studies, full reports of imaging parameters and standardization of APTw protocols are essential.