Colorectal cancer is the third most common cancer in Korea and the third leading cause of death from cancer. Treatment outcomes for colon cancer are steadily improving due to national health screening programs with advances in diagnostic methods, surgical techniques, and therapeutic agents.. The Korea Colon Cancer Multidisciplinary (KCCM) Committee intends to provide professionals who treat colon cancer with the most up-to-date, evidence-based practice guidelines to improve outcomes and help them make decisions that reflect their patients’ values and preferences. These guidelines have been established by consensus reached by the KCCM Guideline Committee based on a systematic literature review and evidence synthesis and by considering the national health insurance system in real clinical practice settings. Each recommendation is presented with a recommendation strength and level of evidence based on the consensus of the committee.

Differentiated thyroid cancer demonstrates a wide range of clinical presentations, from very indolent cases to those with an aggressive prognosis. Therefore, diagnosing and treating each cancer appropriately based on its risk status is important. The Korean Thyroid Association (KTA) has provided and amended the clinical guidelines for thyroid cancer management since 2007. The main changes in this revised 2024 guideline include 1) individualization of surgical extent according to pathological tests and clinical findings, 2) application of active surveillance in low-risk papillary thyroid microcarcinoma, 3) indications for minimally invasive surgery, 4) adoption of World Health Organization pathological diagnostic criteria and definition of terminology in Korean, 5) update on literature evidence of recurrence risk for initial risk stratification, 6) addition of the role of molecular testing, 7) addition of definition of initial risk stratification and targeting thyroid stimulating hormone (TSH) concentrations according to ongoing risk stratification (ORS), 8) addition of treatment of perioperative hypoparathyroidism, 9) update on systemic chemotherapy, and 10) addition of treatment for pediatric patients with thyroid cancer.

In children and adolescents, dental age estimation is performed with the development of the teeth. Various statistical analysis methods have been used to determine the relationship between age and dental maturity and develop an accurate method of age calculation. This study attempted to apply a neural network model for the statistical analysis of dental age estimation in children and evaluated its applicability. This study used 1196 panoramic radiographs of patients aged 3–16 years, and 996 and 200 were randomly classified into training and test sets, respectively. The dental maturity of the mandibular left teeth was evaluated using Demirjian's method, the neural network model using the backpropagation algorithm was derived using training sets, and the errors were evaluated using 100 radiographs of each male and female as test sets. In addition, multiple linear regression analysis was conducted on the same training set, and the error was calculated by applying it to the test set and comparing it with the error of the neural network model. In the neural network model, the mean absolute error (MAE) and root mean squared error (RMSE) were 0.589 and 0.783 in male subjects and 0.529 and 0.760 in female subjects, respectively. In the multiple linear regression model, the MAE and RMSE were 0.600 and 0.748 in male subjects and 0.566 and 0.789 in female subjects, respectively. When applying the neural network model to the statistical analysis of the dental developmental stage, the results were as accurate as those of conventional statistical analysis methods. This study’s approach is expected to be useful for estimating the ages of children.

Objectives: The Korea Centers for Disease Control and Prevention has published “A Guideline for Unknown Disease Outbreaks (UDO).” The aim of this report was to introduce tabletop exercises (TTX) to prepare for UDO in the future. Methods: The UDO Laboratory Analyses Task Force in Korea Centers for Disease Control and Prevention in April 2018, assigned unknown diseases into 5 syndromes, designed an algorithm for diagnosis, and made a panel list for diagnosis by exclusion. Using the guidelines and laboratory analyses for UDO, TTX were introduced. Results: Since September 9th , 2018, the UDO Laboratory Analyses Task Force has been preparing TTX based on a scenario of an outbreak caused by a novel coronavirus. In December 2019, through TTX, individual missions, epidemiological investigations, sample treatments, diagnosis by exclusions, and next generation sequencing analysis were discussed, and a novel coronavirus was identified as the causal pathogen. Conclusion Guideline and laboratory analyses for UDO successfully applied in TTX. Conclusions drawn from TTX could be applied effectively in the analyses for the initial response to COVID-19, an ongoing epidemic of 2019 - 2020. Therefore, TTX should continuously be conducted for the response and preparation against UDO.

Korean Society of Thyroid-Head and Neck Surgery appointed a Task Force to provide guidance on the implementation of a surgical treatment of oral cancer. MEDLINE databases were searched for articles on subjects related to “surgical management of oral cancer” published in English. Results were restricted to systematic reviews, randomized control trials/controlled clinical trials, and observational studies. The quality of evidence was rated with use RoBANS (Risk of Bias Assessment Tool for Nonrandomized Studies) and AMSTAR (A Measurement Tool to Assess the Methodological Quality of Systematic Reviews). Evidence-based recommendations for practice were ranked according to the American College of Physicians grading system. Additional directives are provided as expert opinions and Delphi questionnaire when insufficient evidence existed. The Committee developed 68 evidence-based recommendations in 34 categories intended to assist clinicians and patients and counselors, and health policy-makers. Proper surgical treatment selection for oral cancer, which is directed by patient- and subsite-specific factors, remains the greatest predictor of successful treatment outcomes. These guidelines are intended for use in conjunction with the individual patient's treatment goals.
Advisory Committees ; Bias (Epidemiology) ; Carcinoma, Squamous Cell ; Counseling ; Expert Testimony ; Humans ; Mouth Neoplasms ; Neck ; Republic of Korea

Authors requested to change the name of the hospital to proper name.

BACKGROUND: We aimed to evaluate effect of heart rate (HR) reduction on left ventricular reverse remodeling (LVRR) in Korean patients with heart failure with reduced ejection fraction (HFrEF). METHODS: Ambulatory patients with HFrEF, who had paired echocardiograms, N-terminal prohormone brain natriuretic peptide (NT-proBNP), and global assessment score (GAS) at baseline and 6-month (n = 157), were followed up on preset treatment schedule with bisoprolol. RESULTS: The LVRR occurred in 49 patients (32%) at 6-month. In multivariable analysis, independent predictors associated with LVRR were use of anti-aldosterone agent (odds ratio [OR], 4.18; 95% confidence interval [CI], 1.80–9.71), young age (OR, 0.96; 95% CI, 0.92–0.99), high baseline HR (OR, 3.76; 95% CI, 1.40–10.10), and favorable baseline GAS (OR, 1.73; 95% CI, 1.06–2.81). Beneficial effect of bisoprolol, in terms of LVRR, NT-proBNP, and GAS, was remarkable in the high HR group (baseline HR ≥ 75 beats per minute [bpm]), which showed a large HR reduction. CONCLUSION: High baseline HR (≥ 75 bpm) showed an association with LVRR and improvement of NT-proBNP and GAS in patients with HFrEF. This seems to be due to a large HR reduction after treatments with bisoprolol. Trial registry at www.ClinicalTrials.gov, NCT00749034.
Appointments and Schedules ; Bisoprolol* ; Heart Failure ; Heart Rate* ; Heart* ; Humans ; Natriuretic Peptide, Brain

BACKGROUND AND OBJECTIVES: The relationship between ejection fraction (EF), N-terminal pro-brain natriuretic peptide (NT-proBNP) levels and renal function is unknown as stratified by heart failure (HF) type. We investigated their relation and the prognostic value of renal function in heart failure with preserved ejection fraction (HFpEF) vs. reduced ejection fraction (HFrEF). MATERIALS AND METHODS: NT-proBNP, glomerular filtration rate (GFR), and EF were obtained in 1,932 acute heart failure (AHF) patients. HFrEF was defined as EF<50%, and renal dysfunction as GFR<60 mL/min/1.73 m² (mild renal dysfunction: 30≤GFR<60 mL/min/1.73 m²; severe renal dysfunction: GFR<30 mL/min/1.73 m²). The primary outcome was 12-month all-cause death. RESULTS: There was an inverse correlation between GFR and log NT-proBNP level (r=−0.298, p<0.001), and between EF and log NT-proBNP (r=−0.238, p<0.001), but no correlation between EF and GFR (r=0.017, p=0.458). Interestingly, the prevalence of renal dysfunction did not differ between HFpEF and HFrEF (49% vs. 52%, p=0.210). Patients with renal dysfunction had higher 12-month mortality in both HFpEF (7.9% vs. 15.2%, log-rank p=0.008) and HFrEF (8.6% vs. 16.8%, log-rank p<0.001). Multivariate analysis showed severe renal dysfunction was an independent predictor of 12-month mortality (hazard ratio [HR], 2.08; 95% confidence interval [CI], 1.40–3.11). When stratified according to EF: the prognostic value of severe renal dysfunction was attenuated in HFpEF patients (HR, 1.46; 95% CI, 0.66–3.21) contrary to HFrEF patients (HR, 2.43; 95% CI, 1.52–3.89). CONCLUSION: In AHF patients, the prevalence of renal dysfunction did not differ between HFpEF and HFrEF patients. However, the prognostic value of renal dysfunction was attenuated in HFpEF patients.
Glomerular Filtration Rate ; Heart Failure* ; Heart* ; Humans ; Mortality ; Multivariate Analysis ; Prevalence ; Prognosis