Purpose: Recently, deep learning techniques have been introduced for age estimation, with automated methods based on radiographic analysis demonstrating high accuracy. In this study, we applied convolutional neural network (CNN) techniques to the lower dentition area on orthopantomograms (OPGs) of children to develop an automated age estimation model and evaluate its accuracy for use in forensic dentistry. Methods: In this study, OPGs of 2,856 subjects aged 3-14 years were analyzed. The You Only Look Once (YOLO) V8 object detection technique was applied to extract the mandibular dentition area on OPGs, designating it as the region of interest (ROI). First, 200 radiographs were randomly selected, and were used to train a model for extracting the ROI. The trained model was then applied to the entire dataset. For the CNN image classification task, 80% of OPGs were allocated to the training set, while the remaining 20% were used as the test set. A transfer learning approach was employed using the ResNet50 and VGG19 backbone models, with an ensemble technique combining these models to improve performance. The mean absolute error (MAE) on the test set was used as the validation metric, and the model with the lowest MAE was selected. Results: In this study, the age estimation model developed using mandibular dentition region from OPGs achieved MAE and root mean squared error (RMSE) values of 0.501 and 0.742, respectively, on the test set, and MAE and RMSE values of 0.273 and 0.354, respectively, on the training set. Conclusions The automated age estimation model developed in this study demonstrated accuracy comparable to that of previous research and shows potential for applications in forensic investigations. Increasing the sample size and incorporating diverse deep learning techniques are expected to further enhance the accuracy of future age estimation models.

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.

Purpose: This study aimed to investigate the optimal withdrawal time (WT) for initial surveillance colonoscopy after curative resection for colorectal cancer (CRC) by comparing anterior/low anterior resection (AR/LAR) and right hemicolectomy (RHC) groups. Methods: This retrospective study analyzed 1,212 patients who underwent initial surveillance colonoscopy after CRC resection between 2015 and 2022. The patients were divided into the AR/LAR (n = 846) and RHC (n = 366) groups. The optimal WT was determined using receiver operating characteristic curve analysis and validated using logistic regression models. The adenoma and advanced neoplasia detection rates (ADR/ANDR) were evaluated based on the optimal WT. Results: The optimal WT was 7 and 6 minutes in the AR/LAR and RHC groups, respectively. In multivariate analysis, WT ≥7 and ≥6 minutes in the AR/LAR (odds ratio [OR], 2.38; 95% confidence interval [CI], 1.75–3.24; P < 0.001) and RHC (OR, 2.64;95% CI, 1.59–4.39; P = 0.001) groups, respectively, were significant factors for adenoma detection. In the AR/LAR group, ADR was 41.5% for WT ≥7 minutes compared to 21.9% for WT <7 minutes (P < 0.001). In the RHC group, ADR for WT ≥6 minutes was 33.9% compared to 15.8% for WT <6 minutes (P < 0.001). The ANDR also significantly improved with longer WTs in both groups. Conclusion This study suggests that a minimum WT of 7 and 6 minutes for AR/LAR and RHC patients, respectively, during the initial surveillance colonoscopy after CRC resection is optimal for maintaining a satisfactory ADR and ANDR. These findings highlight the importance of tailoring colonoscopic procedures according to the type of surgical resection.

Drug-induced liver injury (DILI) is considered to be a significant cause of drug wastage. Tomitigate clinical DILI risks, assessing drugs using human liver models is crucial since animal studies may fall short due to species-specific liver pathway variations. Cell-based preclinical hepatotoxicity testing is often pertinent. In the present study, cells from a human liver cancer line (HepG2 and HepaRG) were cultured in both formats of 2D and 3D spheroids to explore their responses to drugs. Liver-specific marker expressions across cell lines and culture formats were also examined to assess disparities in DILI marker expressions. After treating each cell with the drugs, cytotoxicity and liver injury markers aspartate aminotransferase and alanine aminotransferase were increased. In addition, liver specific markers albumin and urea decreased in a drug concentration-dependent manner. These findings were consistent with drug sensitivity. Additionally, mRNA expression levels of cytochrome P450 enzymes (CYPs) involved in hepatocellular drug metabolism were compared following treatment with enzyme inducers. CYP1A2 and CYP2C9 were not epxressed in HepG2 cells. HepaRG cells exhibited significantly increased expression of CYP1A2, 2C9, and 3A4 post-treatment. No-tably, enzyme expression was notably higher in 3D cultures than in 2D cultures. Collectively, these findings suggest that HepaRG cells and 3D cultures hold promise for evaluating DILI during early-stage drug development.

Background: and Purpose Patients with cluster headache (CH) exhibit impaired health-related quality of life (HRQoL). However, there have been few studies related to the HRQoL of patients with CH from Asian backgrounds. This study aimed to determine the impact of CH on HRQoL and to identify the factors affecting HRQoL in patients with CH during cluster periods. Methods: This prospective study enrolled patients with CH from 17 headache clinics in South Korea between September 2016 and February 2021. The study aimed to determine HRQoL in patients with CH using the EuroQol 5 Dimensions (EQ-5D) index and the time trade-off (TTO) method. Age- and sex-matched headache-free participants were recruited as a control group. Results: The study included 423 patients with CH who experienced a cluster period at the time. EQ-5D scores were lower in patients with CH (0.88±0.43, mean±standard deviation) than in the controls (0.99±0.33, p<0.001). The TTO method indicated that 58 (13.6%) patients with CH exhibited moderate-to-severe HRQoL deterioration. The HRQoL states in patients with CH were associated with current smoking patterns, headache severity, frequency, and duration, and scores on the Generalized Anxiety Disorder 7-item scale (GAD-7), Patient Health Questionnaire 9-item scale (PHQ-9), 6-item Headache Impact Test, and 12-item Allodynia Symptom Checklist. Multivariable logistic regression analyses demonstrated that the HRQoL states in patients with CH were negatively correlated with the daily frequency of headaches, cluster period duration, and GAD-7 and PHQ-9 scores. Conclusions Patients with CH experienced a worse quality of life during cluster periods compared with the headache-free controls, but the degree of HRQoL deterioration varied among them. The daily frequency of headaches, cluster period duration, anxiety, and depression were factors associated with HRQoL deterioration severity in patients with CH.

Objective: Dysphagia is a common clinical condition characterized by difficulty in swallowing. It is sub-classified into oropharyngeal dysphagia, which refers to problems in the mouth and pharynx, and esophageal dysphagia, which refers to problems in the esophageal body and esophagogastric junction. Dysphagia can have a significant negative impact one’s physical health and quality of life as its severity increases. Therefore, proper assessment and management of dysphagia are critical for improving swallowing function and preventing complications. Thus a guideline was developed to provide evidence-based recommendations for assessment and management in patients with dysphagia. Methods: Nineteen key questions on dysphagia were developed. These questions dealt with various aspects of problems related to dysphagia, including assessment, management, and complications. A literature search for relevant articles was conducted using Pubmed, Embase, the Cochrane Library, and one domestic database of KoreaMed, until April 2021. The level of evidence and recommendation grade were established according to the Grading of Recommendation Assessment, Development and Evaluation methodology. Results: Early screening and assessment of videofluoroscopic swallowing were recommended for assessing the presence of dysphagia. Therapeutic methods, such as tongue and pharyngeal muscle strengthening exercises and neuromuscular electrical stimulation with swallowing therapy, were effective in improving swallowing function and quality of life in patients with dysphagia. Nutritional intervention and an oral care program were also recommended. Conclusion This guideline presents recommendations for the assessment and management of patients with oropharyngeal dysphagia, including rehabilitative strategies.

Objective: This study enrolls diverse hospitals and analyzes the differences in meal provision and nutrition management services for patients with dysphagia. Methods: A nationwide survey was conducted by mail and mobile for 850 medical institutions, and data were collected from 217 hospitals. We analyzed the status of the dysphagia diet and nutrition management by considering the type of hospital. Results: Among the hospitals surveyed, 167 (77%) provided texture-modified diets for dysphagia patients. The status of providing dysphagia diets and nutrition management for dysphagia differed depending on the institution. In particular, nutrition services for dysphagia patients in long-term care hospitals were poor. Difficulties in providing a dysphagia diet included the complexity of the cooking process, difficulty maintaining constant viscosity, difficulty in hygiene management, and low meal bills. Using commercial thickeners in cooking accounted for 72.5%, and only 41.9% of hospitals provided a commercial thickener with meals. Compared to the regular diet, the additional food cost to provide a single dysphagia diet meal was estimated to be 500-1,000 won. Based on a 5-point scale, we determined that the average scores for the importance and performance of nutrition management in patients with dysphagia were 4.29 and 3.19 points, respectively. Regardless of the type of hospital, performances of all the steps in the nutrition care process were significantly lower than their importance. Conclusion Several difficulties are encountered in meal provision and nutrition management for patients with dysphagia, including the burden of expenses and human resources. Thus, the medical fees for a dysphagia diet need to be reasonably increased. Moreover, national health insurance should additionally cover nutrition education for dysphagia patients.

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.

Background and Objectives: Papillary thyroid carcinoma (PTC) with lateral neck lymph node metastasis is known as a major risk factor for tumor recurrence after surgical treatment. The aim of this study is to identify risk factors for loco-regional recurrence in patients with PTC with lateral neck lymph node metastasis, which has a high risk of recurrence.Subjects and Method This study involved 319 patients who underwent total thyroidectomy, central lymph node (LN) and lateral LN dissection due to PTC. The patients’ demographics and pathological factors, including lymph node metastasis were retrospectively reviewed. Univariate, multivariate and C-index with variable selection analyses were performed to identify factors associated with recurrence-free survival (RFS). Results: A mean follow-up of 101 months, 35 (10.9%) patients had a loco-regional recurrence. In multivariate analysis according to loco-regional recurrence, patients with a primary tumor of more than 4 cm, multifocality, vascular invasion, and bilateral lateral cervical metastasis were associated with worse RFS. In the variable selection analysis, lateral lymph node metastasis ratio was also statistically significant. Conclusion PTC with lateral neck lymph node metastasis included tumors larger than 4 cm. Multifocality, vascular invasion, high lateral lymph node metastasis ratio and bilateral neck lymph node metastasis are predictive factors of loco-regional recurrence, and these risk factors should be carefully followed-up after surgery.