Cherry Kim

Prof. Cherry Kim

Korea University Ansan Hospital
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 January 2019 in Korean Journal of Radiology
Verified
Journal Article
Open access
KLKyung Hee Lee
Kyung Hee Lee
KLKun Young Lim
Kun Young Lim
YSYoung Joo Suh
Young Joo Suh
JHJin Hur
Jin Hur
DHDae Hee Han
Dae Hee Han
CPChang Park
Chang Park
To measure the diagnostic accuracy of percutaneous transthoracic needle lung biopsies (PTNBs) on the basis of the intention-to-diagnose principle and identify risk factors for diagnostic failure of PTNBs in a multi-institutional setting. A total of 9384 initial PTNBs performed in 9239 patients (mean patient age, 65 years [range, 20-99 years]) from January 2010 to December 2014 were included. The accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of PTNBs for diagnosis of malignancy were measured. The proportion of diagnostic failures was measured, and their risk factors were identified. The overall accuracy, sensitivity, specificity, PPV, and NPV were 91.1% (95% confidence interval [CI], 90.6-91.7%), 92.5% (95% CI, 91.9-93.1%), 86.5% (95% CI, 85.0-87.9%), 99.2% (95% CI, 99.0-99.4%), and 84.3% (95% CI, 82.7-85.8%), respectively. The proportion of diagnostic failures was 8.9% (831 of 9384; 95% CI, 8.3-9.4%). The independent risk factors for diagnostic failures were lesions ≤ 1 cm in size (adjusted odds ratio [AOR], 1.86; 95% CI, 1.23-2.81), lesion size 1.1-2 cm (1.75; 1.45-2.11), subsolid lesions (1.81; 1.32-2.49), use of fine needle aspiration only (2.43; 1.80-3.28), final diagnosis of benign lesions (2.18; 1.84-2.58), and final diagnosis of lymphomas (10.66; 6.21-18.30). Use of cone-beam CT (AOR, 0.31; 95% CI, 0.13-0.75) and conventional CT-guidance (0.55; 0.32-0.94) reduced diagnostic failures. The accuracy of PTNB for diagnosis of malignancy was fairly high in our large-scale multi-institutional cohort. The identified risk factors for diagnostic failure may help reduce diagnostic failure and interpret the biopsy results.

1 January 2019 in Korean Journal of Radiology
Verified
Journal Article
Open access
KLKyu-chong Lee
Kyu-chong Lee
EKEun-Young Kang
Eun-Young Kang
HYHwanseok Yong
Hwanseok Yong
CKCherry Kim
Cherry Kim
KLKi Yeol Lee
Ki Yeol Lee
YOYu-Whan Oh
Yu-Whan Oh
Lung cysts are commonly seen on computed tomography (CT), and cystic lung diseases show a wide disease spectrum. Thus, correct diagnosis of cystic lung diseases is a challenge for radiologists. As the first diagnostic step, cysts should be distinguished from cavities, bullae, pneumatocele, emphysema, honeycombing, and cystic bronchiectasis. Second, cysts can be categorized as single/localized versus multiple/diffuse. Solitary/localized cysts include incidental cysts and congenital cystic diseases. Multiple/diffuse cysts can be further categorized according to the presence or absence of associated radiologic findings. Multiple/diffuse cysts without associated findings include lymphangioleiomyomatosis and Birt-Hogg-Dubé syndrome. Multiple/diffuse cysts may be associated with ground-glass opacity or small nodules. Multiple/diffuse cysts with nodules include Langerhans cell histiocytosis, cystic metastasis, and amyloidosis. Multiple/diffuse cysts with ground-glass opacity include pneumocystis pneumonia, desquamative interstitial pneumonia, and lymphocytic interstitial pneumonia. This stepwise radiologic diagnostic approach can be helpful in reaching a correct diagnosis for various cystic lung diseases.

1 January 2020 in Korean Journal of Radiology
Verified
Journal Article
Open access
PDF file
CKCherry Kim
Cherry Kim
WKWooil Kim
Wooil Kim
SPSung-Joon Park
Sung-Joon Park
YLYoung Hen Lee
Young Hen Lee
SHSung Ho Hwang
Sung Ho Hwang
KLKi Yeol Lee
Ki Yeol Lee
Kim C, et al. Korean J Radiol. 2020 Jul;21(7):838-850. https://doi.org/10.3348/kjr.2019.0711

24 September 2022 in European Radiology
Verified
Journal Article
Closed access
PDF file
HKHyun Woo Kang
Hyun Woo Kang
WAWoo Jin Ahn
Woo Jin Ahn
JJJu Hyun Jeong
Ju Hyun Jeong
YSYoung Joo Suh
Young Joo Suh
DYDong Hyun Yang
Dong Hyun Yang
CKCherry Kim
Cherry Kim

25 September 2021 in European Radiology
Verified
Journal Article
Closed access
PDF file
THTaeho Ha
Taeho Ha
WKWooil Kim
Wooil Kim
JCJaehyung Cha
Jaehyung Cha
YLYoung Hen Lee
Young Hen Lee
HSHyung Suk Seo
Hyung Suk Seo
CKCherry Kim
Cherry Kim

1 January 2024 in Journal of Korean Medical Science
Verified
Journal Article
Open access
PDF file
BJByeong Jo Jeon
Byeong Jo Jeon
YKYou Jin Ko
You Jin Ko
JCJin Joo Cha
Jin Joo Cha
CKCherry Kim
Cherry Kim
Min Young SeoMin Young Seo
Min Young Seo
BTBum Sik Tae
Bum Sik Tae
Jeon BJ, et al. J Korean Med Sci. 2024 Aug;39:e259. https://doi.org/10.3346/jkms.2024.39.e259