1.Breast Cancer Statistics in Korea, 2021
Chihwan David CHA ; Chan Sub PARK ; Hee-Chul SHIN ; Jaihong HAN ; Jung Eun CHOI ; Joo Heung KIM ; Kyu-Won JUNG ; Sae Byul LEE ; Sang Eun NAM ; Tae In YOON ; Young-Joon KANG ; Zisun KIM ; So-Youn JUNG ; Hyun-Ah KIM ;
Journal of Breast Cancer 2024;27(6):351-361
The Korean Breast Cancer Society (KBCS) has collected nationwide registry data on clinicopathologic characteristics and treatment since 1996. This study aimed to analyze the clinical characteristics of breast cancer in Korea and assess changes in breast cancer statistics for 2021 using data from the KBCS registry and the Korean Central Cancer Registry. In 2021, 34,628 women were newly diagnosed with breast cancer. The median age of women diagnosed with breast cancer was 53.4 years, with the highest incidence occurring in the 40–49 age group. The most common molecular subtype was hormone receptor-positive and human epidermal growth factor receptor 2 (HER2)-negative, accounting for 69.1% of cases, while HER2-positive subtypes comprised 19.3%. During the coronavirus disease 2019 pandemic, the national breast cancer screening rate declined. However, the incidence of early-stage breast cancer (stages 0 and I) continued to increase, accounting for 65.6% of newly diagnosed cases in 2021. Our results showed that the overall survival rate for patients with breast cancer has improved, primarily due to a rise in early-stage diagnoses and advancements in treatment.
2.Breast Cancer Statistics in Korea, 2021
Chihwan David CHA ; Chan Sub PARK ; Hee-Chul SHIN ; Jaihong HAN ; Jung Eun CHOI ; Joo Heung KIM ; Kyu-Won JUNG ; Sae Byul LEE ; Sang Eun NAM ; Tae In YOON ; Young-Joon KANG ; Zisun KIM ; So-Youn JUNG ; Hyun-Ah KIM ;
Journal of Breast Cancer 2024;27(6):351-361
The Korean Breast Cancer Society (KBCS) has collected nationwide registry data on clinicopathologic characteristics and treatment since 1996. This study aimed to analyze the clinical characteristics of breast cancer in Korea and assess changes in breast cancer statistics for 2021 using data from the KBCS registry and the Korean Central Cancer Registry. In 2021, 34,628 women were newly diagnosed with breast cancer. The median age of women diagnosed with breast cancer was 53.4 years, with the highest incidence occurring in the 40–49 age group. The most common molecular subtype was hormone receptor-positive and human epidermal growth factor receptor 2 (HER2)-negative, accounting for 69.1% of cases, while HER2-positive subtypes comprised 19.3%. During the coronavirus disease 2019 pandemic, the national breast cancer screening rate declined. However, the incidence of early-stage breast cancer (stages 0 and I) continued to increase, accounting for 65.6% of newly diagnosed cases in 2021. Our results showed that the overall survival rate for patients with breast cancer has improved, primarily due to a rise in early-stage diagnoses and advancements in treatment.
3.Breast Cancer Statistics in Korea, 2021
Chihwan David CHA ; Chan Sub PARK ; Hee-Chul SHIN ; Jaihong HAN ; Jung Eun CHOI ; Joo Heung KIM ; Kyu-Won JUNG ; Sae Byul LEE ; Sang Eun NAM ; Tae In YOON ; Young-Joon KANG ; Zisun KIM ; So-Youn JUNG ; Hyun-Ah KIM ;
Journal of Breast Cancer 2024;27(6):351-361
The Korean Breast Cancer Society (KBCS) has collected nationwide registry data on clinicopathologic characteristics and treatment since 1996. This study aimed to analyze the clinical characteristics of breast cancer in Korea and assess changes in breast cancer statistics for 2021 using data from the KBCS registry and the Korean Central Cancer Registry. In 2021, 34,628 women were newly diagnosed with breast cancer. The median age of women diagnosed with breast cancer was 53.4 years, with the highest incidence occurring in the 40–49 age group. The most common molecular subtype was hormone receptor-positive and human epidermal growth factor receptor 2 (HER2)-negative, accounting for 69.1% of cases, while HER2-positive subtypes comprised 19.3%. During the coronavirus disease 2019 pandemic, the national breast cancer screening rate declined. However, the incidence of early-stage breast cancer (stages 0 and I) continued to increase, accounting for 65.6% of newly diagnosed cases in 2021. Our results showed that the overall survival rate for patients with breast cancer has improved, primarily due to a rise in early-stage diagnoses and advancements in treatment.
4.Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase MRI
Hyo Jung PARK ; Jee Seok YOON ; Seung Soo LEE ; Heung-Il SUK ; Bumwoo PARK ; Yu Sub SUNG ; Seung Baek HONG ; Hwaseong RYU
Korean Journal of Radiology 2022;23(7):720-731
Objective:
We aimed to develop and test a deep learning algorithm (DLA) for fully automated measurement of the volume and signal intensity (SI) of the liver and spleen using gadoxetic acid-enhanced hepatobiliary phase (HBP)-magnetic resonance imaging (MRI) and to evaluate the clinical utility of DLA-assisted assessment of functional liver capacity.
Materials and Methods:
The DLA was developed using HBP-MRI data from 1014 patients. Using an independent test dataset (110 internal and 90 external MRI data), the segmentation performance of the DLA was measured using the Dice similarity score (DSS), and the agreement between the DLA and the ground truth for the volume and SI measurements was assessed with a Bland-Altman 95% limit of agreement (LOA). In 276 separate patients (male:female, 191:85; mean age ± standard deviation, 40 ± 15 years) who underwent hepatic resection, we evaluated the correlations between various DLA-based MRI indices, including liver volume normalized by body surface area (LV BSA), liver-to-spleen SI ratio (LSSR), MRI parameter-adjusted LSSR (aLSSR), LSSR x LV BSA, and aLSSR x LV BSA, and the indocyanine green retention rate at 15 minutes (ICG-R15), and determined the diagnostic performance of the DLA-based MRI indices to detect ICG-R15 ≥ 20%.
Results:
In the test dataset, the mean DSS was 0.977 for liver segmentation and 0.946 for spleen segmentation. The BlandAltman 95% LOAs were 0.08% ± 3.70% for the liver volume, 0.20% ± 7.89% for the spleen volume, -0.02% ± 1.28% for the liver SI, and -0.01% ± 1.70% for the spleen SI. Among DLA-based MRI indices, aLSSR x LV BSA showed the strongest correlation with ICG-R15 (r = -0.54, p < 0.001), with area under receiver operating characteristic curve of 0.932 (95% confidence interval, 0.895–0.959) to diagnose ICG-R15 ≥ 20%.
Conclusion
Our DLA can accurately measure the volume and SI of the liver and spleen and may be useful for assessing functional liver capacity using gadoxetic acid-enhanced HBP-MRI.
5.Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI
Subin HEO ; Seung Soo LEE ; So Yeon KIM ; Young-Suk LIM ; Hyo Jung PARK ; Jee Seok YOON ; Heung-Il SUK ; Yu Sub SUNG ; Bumwoo PARK ; Ji Sung LEE
Korean Journal of Radiology 2022;23(12):1269-1280
Objective:
This study aimed to evaluate the usefulness of quantitative indices obtained from deep learning analysis of gadoxetic acid-enhanced hepatobiliary phase (HBP) MRI and their longitudinal changes in predicting decompensation and death in patients with advanced chronic liver disease (ACLD).
Materials and Methods:
We included patients who underwent baseline and 1-year follow-up MRI from a prospective cohort that underwent gadoxetic acid-enhanced MRI for hepatocellular carcinoma surveillance between November 2011 and August 2012 at a tertiary medical center. Baseline liver condition was categorized as non-ACLD, compensated ACLD, and decompensated ACLD. The liver-to-spleen signal intensity ratio (LS-SIR) and liver-to-spleen volume ratio (LS-VR) were automatically measured on the HBP images using a deep learning algorithm, and their percentage changes at the 1-year follow-up (ΔLS-SIR and ΔLS-VR) were calculated. The associations of the MRI indices with hepatic decompensation and a composite endpoint of liver-related death or transplantation were evaluated using a competing risk analysis with multivariable Fine and Gray regression models, including baseline parameters alone and both baseline and follow-up parameters.
Results:
Our study included 280 patients (153 male; mean age ± standard deviation, 57 ± 7.95 years) with non-ACLD, compensated ACLD, and decompensated ACLD in 32, 186, and 62 patients, respectively. Patients were followed for 11–117 months (median, 104 months). In patients with compensated ACLD, baseline LS-SIR (sub-distribution hazard ratio [sHR], 0.81; p = 0.034) and LS-VR (sHR, 0.71; p = 0.01) were independently associated with hepatic decompensation. The ∆LS-VR (sHR, 0.54; p = 0.002) was predictive of hepatic decompensation after adjusting for baseline variables. ∆LS-VR was an independent predictor of liver-related death or transplantation in patients with compensated ACLD (sHR, 0.46; p = 0.026) and decompensated ACLD (sHR, 0.61; p = 0.023).
Conclusion
MRI indices automatically derived from the deep learning analysis of gadoxetic acid-enhanced HBP MRI can be used as prognostic markers in patients with ACLD.
6.Liver-to-Spleen Volume Ratio Automatically Measured on CT Predicts Decompensation in Patients with B Viral Compensated Cirrhosis
Ji Hye KWON ; Seung Soo LEE ; Jee Seok YOON ; Heung-Il SUK ; Yu Sub SUNG ; Ho Sung KIM ; Chul-min LEE ; Kang Mo KIM ; So Jung LEE ; So Yeon KIM
Korean Journal of Radiology 2021;22(12):1985-1995
Objective:
Although the liver-to-spleen volume ratio (LSVR) based on CT reflects portal hypertension, its prognostic role in cirrhotic patients has not been proven. We evaluated the utility of LSVR, automatically measured from CT images using a deep learning algorithm, as a predictor of hepatic decompensation and transplantation-free survival in patients with hepatitis B viral (HBV)-compensated cirrhosis.
Materials and Methods:
A deep learning algorithm was used to measure the LSVR in a cohort of 1027 consecutive patients (mean age, 50.5 years; 675 male and 352 female) with HBV-compensated cirrhosis who underwent liver CT (2007–2010).Associations of LSVR with hepatic decompensation and transplantation-free survival were evaluated using multivariable Cox proportional hazards and competing risk analyses, accounting for either the Child-Pugh score (CPS) or Model for End Stage Liver Disease (MELD) score and other variables. The risk of the liver-related events was estimated using Kaplan-Meier analysis and the Aalen-Johansen estimator.
Results:
After adjustment for either CPS or MELD and other variables, LSVR was identified as a significant independent predictor of hepatic decompensation (hazard ratio for LSVR increase by 1, 0.71 and 0.68 for CPS and MELD models, respectively; p < 0.001) and transplantation-free survival (hazard ratio for LSVR increase by 1, 0.8 and 0.77, respectively; p < 0.001). Patients with an LSVR of < 2.9 (n = 381) had significantly higher 3-year risks of hepatic decompensation (16.7% vs. 2.5%, p < 0.001) and liver-related death or transplantation (10.0% vs. 1.1%, p < 0.001) than those with an LSVR ≥ 2.9 (n = 646). When patients were stratified according to CPS (Child-Pugh A vs. B–C) and MELD (< 10 vs. ≥ 10), an LSVR of < 2.9 was still associated with a higher risk of liver-related events than an LSVR of ≥ 2.9 for all Child-Pugh (p ≤ 0.045) and MELD (p ≤ 0.009) stratifications.
Conclusion
The LSVR measured on CT can predict hepatic decompensation and transplantation-free survival in patients with HBV-compensated cirrhosis.
7.Deep Learning Algorithm for Automated Segmentationand Volume Measurement of the Liver and Spleen UsingPortal Venous Phase Computed Tomography Images
Yura AHN ; Jee Seok YOON ; Seung Soo LEE ; Heung-Il SUK ; Jung Hee SON ; Yu Sub SUNG ; Yedaun LEE ; Bo-Kyeong KANG ; Ho Sung KIM
Korean Journal of Radiology 2020;21(8):987-997
Objective:
Measurement of the liver and spleen volumes has clinical implications. Although computed tomography (CT)volumetry is considered to be the most reliable noninvasive method for liver and spleen volume measurement, it has limitedapplication in clinical practice due to its time-consuming segmentation process. We aimed to develop and validate a deeplearning algorithm (DLA) for fully automated liver and spleen segmentation using portal venous phase CT images in variousliver conditions.
Materials and Methods:
A DLA for liver and spleen segmentation was trained using a development dataset of portal venousCT images from 813 patients. Performance of the DLA was evaluated in two separate test datasets: dataset-1 which included150 CT examinations in patients with various liver conditions (i.e., healthy liver, fatty liver, chronic liver disease, cirrhosis,and post-hepatectomy) and dataset-2 which included 50 pairs of CT examinations performed at ours and other institutions.The performance of the DLA was evaluated using the dice similarity score (DSS) for segmentation and Bland-Altman 95%limits of agreement (LOA) for measurement of the volumetric indices, which was compared with that of ground truth manualsegmentation.
Results:
In test dataset-1, the DLA achieved a mean DSS of 0.973 and 0.974 for liver and spleen segmentation, respectively,with no significant difference in DSS across different liver conditions (p = 0.60 and 0.26 for the liver and spleen, respectively).For the measurement of volumetric indices, the Bland-Altman 95% LOA was -0.17 ± 3.07% for liver volume and -0.56 ± 3.78%for spleen volume. In test dataset-2, DLA performance using CT images obtained at outside institutions and our institutionwas comparable for liver (DSS, 0.982 vs. 0.983; p = 0.28) and spleen (DSS, 0.969 vs. 0.968; p = 0.41) segmentation.
Conclusion
The DLA enabled highly accurate segmentation and volume measurement of the liver and spleen using portalvenous phase CT images of patients with various liver conditions.
8.Implementation of a resident night float system in a surgery department in Korea for 6 months: electronic medical record-based big data analysis and medical staff survey
Hyeong Won YU ; June Young CHOI ; Young Suk PARK ; Hyung Sub PARK ; YoungRok CHOI ; Sang Hoon AHN ; Eunyoung KANG ; Heung Kwon OH ; Eun Kyu KIM ; Jai Young CHO ; Duck Woo KIM ; Do Joong PARK ; Yoo Seok YOON ; Sung Bum KANG ; Hyung Ho KIM ; Ho Seong HAN ; Taeseung LEE
Annals of Surgical Treatment and Research 2019;96(5):209-215
PURPOSE: To evaluate superiority of a night float (NF) system in comparison to a traditional night on-call (NO) system for surgical residents at a single institution in terms of efficacy, safety, and satisfaction. METHODS: A NF system was implemented from March to September 2017 and big data analysis from electronic medical records was performed for all patients admitted for surgery or contacted from the emergency room (ER). Parameters including vital signs, mortality, and morbidity rates, as well as promptness of response to ER calls, were compared against a comparable period (March to September 2016) during which a NO system was in effect. A survey was also performed for physicians and nurses who had experienced both systems. RESULTS: A total of 150,000 clinical data were analyzed. Under the NO and NF systems, a total of 3,900 and 3,726 patients were admitted for surgery. Mortality rates were similar but postoperative bleeding was significantly higher in the NO system (0.5% vs. 0.2%, P = 0.031). From the 1,462 and 1,354 patients under the NO and NF systems respectively, that required surgical consultation from the ER, the time to response was significantly shorter in the NF system (54.5 ± 70.7 minutes vs. 66.8 ± 83.8 minutes, P < 0.001). Both physicians (90.4%) and nurses (91.4%) agreed that the NF system was more beneficial. CONCLUSION: This is the first report of a NF system using big data analysis in Korea, and potential benefits of this new system were observed in both ward and ER patient management.
Electronic Health Records
;
Emergency Service, Hospital
;
Hemorrhage
;
Humans
;
Internship and Residency
;
Korea
;
Medical Staff
;
Mortality
;
Statistics as Topic
;
Vital Signs
9.Comparison of periodontitis-associated oral biofilm formation under dynamic and static conditions.
Won Sub SONG ; Jae Kwan LEE ; Se Hwan PARK ; Heung Sik UM ; Si Young LEE ; Beom Seok CHANG
Journal of Periodontal & Implant Science 2017;47(4):219-230
PURPOSE: The purpose of this study was to compare the characteristics of single- and dual-species in vitro oral biofilms made by static and dynamic methods. METHODS: Hydroxyapatite (HA) disks, 12.7 mm in diameter and 3 mm thick, were coated with processed saliva for 4 hours. The disks were divided into a static method group and a dynamic method group. The disks treated with a static method were cultured in 12-well plates, and the disks in the dynamic method group were cultured in a Center for Disease Control and Prevention (CDC) biofilm reactor for 72 hours. In the single- and dual-species biofilms, Fusobacterium nucleatum and Porphyromonas gingivalis were used, and the amount of adhering bacteria, proportions of species, and bacterial reduction of chlorhexidine were examined. Bacterial adhesion was examined with scanning electron microscopy (SEM) and confocal laser scanning microscopy (CLSM). RESULTS: Compared with the biofilms made using the static method, the biofilms made using the dynamic method had significantly lower amounts of adhering and looser bacterial accumulation in SEM and CLSM images. The proportion of P. gingivalis was higher in the dynamic method group than in the static method group; however, the difference was not statistically significant. Furthermore, the biofilm thickness and bacterial reduction by chlorhexidine showed no significant differences between the 2 methods. CONCLUSIONS: When used to reproduce periodontal biofilms composed of F. nucleatum and P. gingivalis, the dynamic method (CDC biofilm reactor) formed looser biofilms containing fewer bacteria than the well plate. However, this difference did not influence the thickness of the biofilms or the activity of chlorhexidine. Therefore, both methods are useful for mimicking periodontitis-associated oral biofilms.
Bacteria
;
Bacterial Adhesion
;
Biofilms*
;
Centers for Disease Control and Prevention (U.S.)
;
Chlorhexidine
;
Durapatite
;
Electron Microscope Tomography
;
Fusobacterium nucleatum
;
In Vitro Techniques
;
Methods
;
Microscopy, Confocal
;
Microscopy, Electron, Scanning
;
Periodontitis
;
Porphyromonas gingivalis
;
Saliva
10.Matchstick-Shaped Bone Grafting for the Treatment of Distal Phalangeal Nonunion.
Heung Sub SHIN ; Hyo Kon KIM ; Sung Han HA ; Sun O YU ; Gi Jun LEE
Journal of the Korean Society for Surgery of the Hand 2012;17(1):1-8
PURPOSE: The purpose of this study was to evaluate clinical and radiological results after osteosynthesis of distal phalangeal nonunion with bone defect by using matchstick-shaped bone graft. MATERIALS AND METHODS: Fifteen distal phalangeal nonunions were treated with osteosynthesis using matchstick-shaped bone graft from September, 2009 to October, 2010. The mean age of patients was 36.1 years (range: 15 to 56 years). This study included 4 women and 10 men. The mean duration of follow-up was 16.8 months (range: 12 to 20 months). We evaluated radiographs, and measured postoperative visual analogue scale (VAS) score and pinch power. RESULTS: Union was achieved in all cases at a mean of postoperative 5.5 weeks (range: 4 to 6 weeks). The mean VAS score improved from 7.25 (range: 5 to 9) to 1.0 (range: 0 to 2) postoperatively. The mean postoperative pinch power was 7.75 lbs (range: 4 to 13 lbs) compared to opposite pinch power of 9.63 lbs (range: 5 to 15 lbs). There was no scar problem, pinch pain and other complication. CONCLUSION: Steosynthesis of distal phalageal nonunion with bone defect by using matchstick-shaped bone graft is technically feasible and simple in that it does not need volar incision and debridement. It is considered as an effective treatment option in distal phalangeal nonunion with bone defect.
Bone Transplantation
;
Cicatrix
;
Debridement
;
Female
;
Follow-Up Studies
;
Humans
;
Male
;
Transplants

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