Jung hee Hong

Dr. Jung hee Hong

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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1 January 2020 in Korean Journal of Radiology
Verified
Journal Article
Open access
PDF file
JHJung hee Hong
Jung hee Hong
EPEun-Ah Park
Eun-Ah Park
WLWhal Lee
Whal Lee
CAChulkyun Ahn
Chulkyun Ahn
JKJong Hyo Kim
Jong Hyo Kim
Hong JH, et al. Korean J Radiol. 2020 Jul;21:e105. https://doi.org/10.3348/kjr.2020.0020

1 January 2021 in Korean Journal of Radiology
Verified
Journal Article
Open access
PDF file
SYSoon Ho Yoon
Soon Ho Yoon
SLSang Min Lee
Sang Min Lee
CPChul Hwan Park
Chul Hwan Park
JLJong Hyuk Lee
Jong Hyuk Lee
HKHyungjin Kim
Hyungjin Kim
CPChang Park
Chang Park
Yoon SH, et al. Korean J Radiol. 2020 Jul;21:e174. https://doi.org/10.3348/kjr.2020.0137

1 April 2020 in Radiology: Cardiothoracic Imaging
Verified
Journal Article
Closed access
HCHyewon Choi
Hyewon Choi
XQXiaolong Qi
Xiaolong Qi
SYSoon Ho Yoon
Soon Ho Yoon
SPSang Joon Park
Sang Joon Park
KLKyung Hee Lee
Kyung Hee Lee
JGJin Mo Goo
Jin Mo Goo
Purpose To study the extent of pulmonary involvement in COVID-19 with quantitative CT (QCT) and to assess the impact of disease burden on opacity visibility on chest radiographs. Materials and Meth...

1 May 2020 in Radiology
Verified
Journal Article
Closed access
JLJong Hyuk Lee
Jong Hyuk Lee
WLWoo Hyeon Lim
Woo Hyeon Lim
JHJung hee Hong
Jung hee Hong
Ju Gang NamJu Gang Nam
Ju Gang Nam
EHEui Jin Hwang
Eui Jin Hwang
CPChang Park
Chang Park
Among subsolid nodules 6 mm or larger that were stable for 5 years after CT detection, only 2% showed later growth, with no clinical effect. Background It remains unclear whether 5 years of stability is sufficient to establish the benign behavior of subsolid nodules (SSNs) of the lung. There are no guidelines for the length of follow-up...

1 January 2021 in Korean Journal of Radiology
Verified
Journal Article
Open access
PDF file
JHJung hee Hong
Jung hee Hong
SPSamina Park
Samina Park
HKHyungjin Kim
Hyungjin Kim
JGJin Mo Goo
Jin Mo Goo
IPIn Kyu Park
In Kyu Park
SYSoon Ho Yoon
Soon Ho Yoon
Hong JH, et al. Korean J Radiol. 2020 Jul;21:e165. https://doi.org/10.3348/kjr.2020.0592

16 April 2025 in PeerJ
Verified
Journal Article
Open access
PDF file
KBKiook Baek
Kiook Baek
JKJin Young Kim
Jin Young Kim
JHJung hee Hong
Jung hee Hong
Background: Video-assisted thoracoscopic surgery (VATS) is a minimally invasive and safe procedure. However, lung deflation during the operation causes anatomic landmark distortion, complicating small nodules detection. Computed tomography (CT)-guided hookwire localization promotes the success rates of VATS, but faces issues with hookwire dislodgement, potentially losing intraoperative tumor reference. This study was conducted to identify the relative importance ranking of potential factors influencing dislodgement in CT-guided hookwire localization. Methods: This retrospective study reviewed 123 cases of CT-guided hookwire localization followed by VATS resection. Variables analyzed included sex, age, nodule size, emphysema, chest wall/muscle/total depth, distance from the nodule (DNP) or wire tip to the pleura (DWP), procedure time, nodule subtypes, multiple localization, post-procedural hemorrhage, pneumothorax, nodule penetration, and time intervals between completion of procedure to initiation of surgery (PS interval). Variables were compared using chi-square tests or Mann-Whitney tests. A random forest model, enhanced with the Synthetic Minority Over-sampling Technique (SMOTE) for oversampling, was employed to determine the relative importance of each variable. The relative importance of variables was presented using the mean decrease Gini and mean decrease accuracy metrics. For sensitivity analysis, relative variable importance was analyzed using extreme gradient boosting (XGBoost) model, and the relative importance of variables was presented using the gain metric. Results: Among the 123 cases, dislodgement occurred in 15. In univariable analysis, only the PS interval was statistically significant (134.1 ± 73.1 vs. 104.1 ± 46.1 minutes in dislodgement or non-dislodgement, p = 0.031). The random forest and XGBoost model identified the top five important variables as the PS interval, DWP, DNP, total depth, and age. The top five factors demonstrated a distinct difference when compared to the other factors. Conclusions: The study identified the PS interval as the most critical factor in hookwire dislodgement, along with DNP, DWP, total depth, and age. These results identified the presence of modifiable factors within the hospital and can assist practitioners and surgeons in recognizing the dislodgement risk of procedures based on various patient factors.