Jae Ho Byun

Jae Ho Byun

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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26 September 2008 in Journal of Magnetic Resonance Imaging
Verified
Journal Article
Open access
PDF file
SLSeung Soo Lee
Seung Soo Lee
JBJae Ho Byun
Jae Ho Byun
BPBeom Jin Park
Beom Jin Park
SPSeong Ho Park
Seong Ho Park
Namkug KimNamkug Kim
Namkug Kim
MLMoon‐Gyu Lee
Moon‐Gyu Lee
Purpose: To evaluate whether measurement of apparent diffusion coefficient (ADC) and pure diffusion coefficient (D) can help to characterize solid pancreatic masses.Materials and Methods: Diffusion‐weighted MR imaging was performed in both a patient group (n = 71; pancreatic cancer [n = 47], mass‐forming pancreatitis [n = 13], solid pseudopapillary neoplasm [n = 6], and neuroendocrine tumor [n = 5]) and a normal control group (n = 11) by applying three b‐factors of 0, 500, and 1000 sec/mm2. ADC500, ADC1000, D (ADC using b = 500 and 1000 sec/mm2), and perfusion fraction (f, 1‐ exp [‐500 sec/mm2 × (ADC500 – D)]) of normal pancreas, pancreatic cancer, and mass‐forming pancreatitis were compared using the Kruskal–Wallis test. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic performance and optimal cutoff value of these parameters in differentiating pancreatic cancer from mass‐forming pancreatitis.Results: Normal pancreas had significantly higher mean ADC500, ADC1000, and f than either pancreatic cancer (P < 0.001, < 0.001, and 0.004, respectively) or mass‐forming pancreatitis (P < 0.001, < 0.001, and 0.002, respectively). ADC500, ADC1000, and D of mass‐forming pancreatitis were significantly lower than those of pancreatic cancer (P = 0.002, 0.004, and 0.014, respectively). Sensitivities and specificities in the diagnosis of pancreatic cancer were 72.3% and 76.9% for ADC500, 87.2% and 69.2% for ADC1000, 87.2% and 61.5% for D, and 42.6% and 92.3% for f, respectively.Conclusion: Measurement of ADC and D may be helpful in differentiating pancreatic cancers from mass‐forming pancreatitis. J. Magn. Reson. Imaging 2008;28:928–936.

1 April 2020 in Journal of Hepatology
Verified
Journal Article
Closed access
Hyo Jung ParkHyo Jung Park
Hyo Jung Park
HJHye Young Jang
Hye Young Jang
SKSo Yeon Kim
So Yeon Kim
SLSo Jung Lee
So Jung Lee
HWHyung Jin Won
Hyung Jin Won
YLYoung-Suk Lim
Young-Suk Lim

1 May 2016 in Journal of Hepatology
Verified
Journal Article
Closed access
SCSang Hyun Choi
Sang Hyun Choi
JBJae Ho Byun
Jae Ho Byun
YLYoung-Suk Lim
Young-Suk Lim
EYEunsil Yu
Eunsil Yu
SLSo Jung Lee
So Jung Lee
PKPyo Nyun Kim
Pyo Nyun Kim

1 February 2007 in American Journal of Roentgenology
Verified
Journal Article
Closed access
HKHye Jin Kim
Hye Jin Kim
JBJae Ho Byun
Jae Ho Byun
SPSeong Ho Park
Seong Ho Park
YSYong Moon Shin
Yong Moon Shin
PKPyo Nyun Kim
Pyo Nyun Kim
MLMoon-Gyu Lee
Moon-Gyu Lee
OBJECTIVE. The purpose of this study was to describe the typical CT and chemical shift MRI findings and to evaluate their usefulness in the diagnosis of focal fatty replacement of the pancreas in five patients.CONCLUSION. The presence of a perceptible focal low-attenuation lesion in the pancreas on CT and the reduction in signal intensity of the lesion on the opposed phase of chemical shift MR images are useful for differentiating focal fatty replacement of the pancreas from true pancreatic neoplasm. Therefore, these imaging findings obviate invasive diagnostic procedures and surgery in the care of patients with focal fatty replacement of the pancreas.

1 January 2023 in Radiology
Verified
Journal Article
Closed access
Hyo Jung ParkHyo Jung Park
Hyo Jung Park
KSKeewon Shin
Keewon Shin
MYMyung-Won You
Myung-Won You
SKSung-Gu Kyung
Sung-Gu Kyung
SKSo Yeon Kim
So Yeon Kim
HKHyoung Jung Kim
Hyoung Jung Kim
A deep learning–based approach showed high diagnostic performance for identifying patients with solid and cystic pancreatic neoplasms at contrast-enhanced CT. Background Deep learning (DL) may facilitate the diagnosis of various pancreatic lesions at imaging. Purpose To develop and validate a DL-based approach for automatic identification of patients wit...

1 June 2019 in Radiology
Verified
Journal Article
Closed access
DKDong Hwan Kim
Dong Hwan Kim
SCSang Hyun Choi
Sang Hyun Choi
SKSo Yeon Kim
So Yeon Kim
MKMin-Ju Kim
Min-Ju Kim
SLSeung Soo Lee
Seung Soo Lee
JBJae Ho Byun
Jae Ho Byun
When hepatocellular carcinoma is being diagnosed with use of gadoxetic acid–enhanced MRI, extending washout appearance to the transitional phase or hepatobiliary phase (instead of restricting it to the portal venous phase) allows higher sensitivity without a reduction in specificity. Background Current Liver Imaging Reporting and Data System guidelines define the washout appearance of gadoxetic acid–enhanced MRI only during the portal venous phase. Defining washout only during the portal venous phase may lead to lower sensitivity for diagnosis of hepatocellular carcinoma (HCC). Purpose To compare the diagnostic performances of three gadoxetic acid–enhanced MRI criteria fono. that part was correcr HCC according to the phases during which washout appearance was determined. Materials and Methods In this retrospective study, patients with a hepatic nodule detected at US surveillance for HCC from January to December 2012 underwent gadoxetic acid–enhanced MRI. Three diagnostic MRI criteria for HCC were defined according to the phases during which washout appearance was observed, with the presence of arterial phase hyperenhancement and hypointensity noted (a) only during the portal venous phase, with washout confined to the portal venous phase; (b) during the portal venous phase or transitio...