Objective: To evaluate the prognostic impact of radiologic and pathologic features in patients with interstitial lung disease (ILD) other than idiopathic pulmonary fibrosis (IPF), and to identify the factors associated with the development of progressive pulmonary fibrosis (PPF) and survival. Materials and Methods: This study retrospectively enrolled 75 patients diagnosed with ILD other than IPF who underwent surgical lung biopsy between January 2004 and December 2020. Three chest radiologists independently reviewed the CT features and extent of fibrosis on preoperative and follow-up CT scans. Two pathologists reviewed the histopathological features, including the presence of interstitial pneumonia. The time to PPF and overall survival were estimated using the Kaplan-Meier method. The associations of CT and pathological features with PPF and all-cause mortality were examined using standard Cox regression and time-dependent Cox models, respectively. Results: A total of 75 non-IPF ILD patients (mean age ± standard deviations 56.4 ± 13.2 years; range, 40–88 years) were enrolled. The median follow-up duration was 75.3 months (range, 7.8–189.8 months). Traction bronchiectasis on CT (adjusted hazard ratio [HR], 6.40; P = 0.003) and body mass index (adjusted HR per 1-kg/m2 increase, 0.82; P = 0.002) were found to be significantly associated with PPF in multivariable analysis. Radiological progression (adjusted HR, 18.44;P < 0.001), symptomatic progression (adjusted HR, 4.19; P = 0.011), and age (adjusted HR for 1-year increase, 1.12; P < 0.001) were significantly associated with death. Conclusion Traction bronchiectasis on CT was a significant predictor of PPF, while radiologic and symptomatic progression and older age were associated with poorer survival in patients with ILD other than IPF. These findings indicate that careful radiological evaluation and symptom monitoring may help to predict disease progression and outcomes in patients with nonIPF ILD.

Objective: This study aimed to assess the association between exposure to gadolinium-based contrast agents (GBCAs) and the risk of parkinsonism according to the GBCA type. Materials and Methods: Individuals aged ≥40 years who underwent first-ever magnetic resonance imaging (MRI) examinations between 2011 and 2014 were identified from the Korean nationwide population-based health insurance claims database and followed up until 2022. Individuals were divided into those who underwent at least one GBCA-enhanced MRI, and those who underwent only non-enhanced MRI. GBCA-exposed individuals were further categorized into those exposed only to linear or macrocyclic GBCAs, after excluding those exposed to both types. The primary event of interest was allcause parkinsonism. Secondary events included all-cause parkinsonism requiring medication, Parkinson’s disease (PD), atypical parkinsonism, and secondary parkinsonism. Hazard ratios (HRs) were estimated using multivariable Cox proportional hazard regression models for exposure to linear and macrocyclic GBCAs, with the non-enhanced MRI group serving as a reference. The models were adjusted for age, sex, smoking status, alcohol consumption, regular exercise, body mass index, estimated glomerular filtration rate, and comorbidities. Subgroup analyses were performed according to age, sex, renal function, and history of cancer. Results: A total of 222,977 individuals were included in this study. Among them, 92,230, 48,335, and 82,412 individuals underwent non-enhanced, linear GBCA-enhanced, and macrocyclic GBCA-enhanced MRI, respectively. Exposure to linear GBCAs slightly increased the risk of all-cause parkinsonism (adjusted HR, 1.13 [97.5% confidence interval, 1.08–1.19]), while exposure to macrocyclic GBCAs did not increase the risk (adjusted HR, 1.00 [97.5% confidence interval, 0.95–1.05]).The results were similar for all-cause parkinsonism requiring medication, PD, and secondary parkinsonism, whereas no significant association was observed for atypical parkinsonism. Conclusion Exposure to linear GBCAs may slightly increase the risk of parkinsonism in adults, whereas exposure to macrocyclic GBCAs may not. Caution should be exercised when using linear GBCAs until further evidence emerges.

Objectives: This study investigated medication perceptions, adherence patterns, self-discontinuation experiences, and information sources among psychiatric outpatients to provide evidence for improving adherence strategies. Methods: A cross-sectional survey was conducted with 79 outpatients from a University Hospital, Department of Psychiatry. Self-administered questionnaires assessed diagnostic awareness, medication perceptions, adherence behaviors, discontinuation experiences, side effects, and information sources. Results: Overall, 89.7% knew their psychiatric diagnosis and 88.2% perceived medication as effective. While 73.1% rarely forgot medication, 35.9% had previously self-discontinued treatment. Medication adherence was significantly associated with previous discontinuation experience (p=0.006), whereas diagnostic awareness and efficacy perception were not. Primary discontinuation reasons were symptom improvement (53.6%) and physical discomfort (35.7%). Common side effects included weight gain (n=31), daytime drowsiness (n=26), memory impairment (n=24), and concentration problems (n=22). Patients primarily obtained side effect information from TV/internet (27.8%) rather than healthcare providers (20.3%). Most patients desired additional information about side effects (57.0%) and medication effects (54.4%). Conclusion Daily medication-taking behaviors were more predictive of treatment discontinuation than cognitive factors in this outpatient sample. Discontinuation due to symptom improvement and reliance on non-medical information sources highlights the need for enhanced patient education regarding relapse risks and systematic provision of accurate medication information.

Background: We developed a simplified variant of the ADV score, the AFP-PIVKAII (AP) score for post-transplant hepatocellular carcinoma (HCC) prognosis, which considers only AFP and PIVKA-II levels excluding morphometric tumor size information from the ADV score. This study investigated the prognostic performance of the AP score in predicting HCC recurrence and overall survival (OS) after living donor liver transplantation (LDLT). Methods: We analyzed 843 patients with HCC who underwent LDLT between 2006 and 2015, assessing HCC recurrence and OS in relation to AP score. Results: The median pretransplant AFP and PIVKA-II levels were 12.8 ng/mL and 27 mAU/mL, respectively. The median and mean AP scores were 2.6 log (range: 0.6–9.2 log) and 2.9±1.1 log, respectively. The 5-year time-dependent area under the receiver operating characteristic curve for the AP score in predicting post-transplant HCC recurrence was 0.672 (p<0.001). HCC recurrence and OS curves along AP score intervals of 1.0 log showed statistical differences in accordance with the AP scores (both p<0.001). Using a Youden index J-derived AP score cutoff of 4.0 log, two-tiered groups (ADV <4.0 log vs. ADV ≥4.0 log) showed statistically significant differences in HCC recurrence and OS (both p<0.001). Harrell’s c-indices for AP score with cutoff of 4.0 log and ADV scores with cutoff of 5.0 log regarding HCC recurrence and OS were similar. Conclusion The AP score functions as an integrated surrogate marker for predicting post-transplant outcomes in patients with HCC undergoing LDLT. It may serve as a simplified alternative to the ADV score, particularly in patients with small HCCs.

Purpose: While MRI-based tumor regression grade (mrTRG) has shown promise in evaluating pathologic response to concurrent chemoradiotherapy (CCRT) in rectal cancer, its ability to predict pathologic complete response remains limited.This study aimed to enhance mrTRG’s diagnostic performance in predicting ypT0–1N0 status, a key factor in considering non-radical management after CCRT for locally advanced rectal cancer (LARC). Methods: This retrospective study included 430 patients with LARC who underwent radical resection following CCRT at a single referral hospital between April 2018 and September 2024. Multivariable logistic regression was used to identify predictive factors associated with achieving ypT0–1N0 status. The diagnostic performances of mrTRG1–2 alone and in combination with other factors were assessed by comparing sensitivity, specificity, positive-predictive value (PPV), negative-predictive value, and area under the curve (AUC). Results: Ninety-three patients (21.6%) achieved ypT0–1N0. In the multivariable analysis, fungating type, cT1–2, and mrTRG1–2 were independent predictors for ypT0–1N0. Integrating mrTRG with gross tumor type yielded the highest AUC of 0.689 among the combined models. For predicting ypT0–1N0, the combination of mrTRG and gross tumor type improved PPV (79.2% vs. 41.5% for mrTRG alone) while also demonstrating enhanced sensitivity compared with ycT0–1N0, the conventional MRI-based predictor (40.9% vs. 22.6%). Conclusion This study demonstrated that combining mrTRG and gross tumor type improved the PPV of mrTRG in predicting ypT0–1N0 after CCRT in LARC. Further studies are warranted to validate the role of gross tumor type in refining predictive systems for selecting candidates for non-radical treatment.

Purpose: Distant metastasis of breast cancer significantly affects the prognosis. Serum markers such as CEA and cancer antigen (CA) 15-3 are used for surveillance. However, the nonspecificity and nonmalignant elevation of CEA limit its absolute value in predicting metastatic recurrence. We reevaluated the clinical value of CEA kinetics in predicting metastatic recurrence in breast cancer. Methods: In this multicenter retrospective cohort study, we utilized electronic medical record data from eight institutions (2008–2023), including 4,872 surgically treated patients with invasive breast cancer. Novel CEA kinetic indices were defined.Predictive capabilities were assessed using logistic regression, Kaplan-Meier survival curves, and Cox proportional hazards models. Results: CEA velocity (vCEA) and last-interval vCEA (vCEA-L) showed higher accuracy and sensitivity in predicting distant metastasis than absolute CEA indices. All tumor marker indices were independent predictors; vCEA, vCEA-L, and maximum vCEA (vCEAmax) showed the highest association. In the 5-year distant disease-free survival analysis of patients, vCEA showed the most significant difference based on whether its cutoff value was exceeded (84.1% vs. 47.2%) (P < 0.001).Cox analysis showed that vCEA was the strongest predictor (hazard ratio, 4.509; P < 0.001). vCEAmax remained prognostic even when CEAmax was below its cutoff value. Conclusion Analysis of dynamic CEA changes, particularly velocity-based indices, offers superior predictive power than the static-based CEA indices for metastatic recurrence in breast cancer. These kinetic markers enhance prognostic accuracy when combined with CA 15-3. Future research should integrate these markers with imaging, liquid biopsy, and artificial intelligence for personalized follow-up.

Background/Aims: We examined the association between diabetes duration and hyperuricemia in Korean subjects based on data from the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: This cross-sectional study included 4,575 subjects aged 30 years and older with type 2 diabetes mellitus based on data from the KNHANES from 2016 to 2021. Hyperuricemia was defined as a serum uric acid level ≥ 7.0 mg/dL. Univariable and multivariable logistic regression models were used calculate adjusted odds ratios (ORs) and their 95% confidence intervals (CIs). Results: The mean age of subjects was 61.0 years, 56.5% were male, and the mean body mass index (BMI) was 25.6 kg/m2. Compared to those with diabetes duration 5 to < 10 years, those with shorter or longer diabetes duration had higher serum uric acid levels and higher prevalence of hyperuricemia. In multivariable logistic regression models, a U-shaped association between diabetes duration and hyperuricemia was observed after adjusting for age, sex, income, smoking status, alcohol consumption, regular exercise, and presence of hypertension, dyslipidemia, or chronic kidney disease. Compared to those with new-onset diabetes mellitus, the adjusted OR (95% CI) for hyperuricemia was 0.55 (0.38–0.82) in those with diabetes duration 5 to < 10 years. The results were consistent in subgroup analysis according to age, sex, BMI, and chronic kidney disease. Conclusions The U-shaped association between diabetes duration and hyperuricemia was observed in a representative sample of Korean adults.

Background: Despite evidence suggesting a bidirectional relationship between psychological factors and skin disease, psychological distress and personality traits remain underexplored in dermatological care. Objective: This study aimed to compare psychopathological symptoms and personality traits between female outpatients with dermatological conditions and healthy controls. Methods: In total, 159 outpatients with dermatological conditions and 160 healthy controls (all female) completed the Symptom Check List-90-Revised (SCL-90-R), and a shortened version of the NEO-Personality Inventory-Revised. Between-group comparisons were conducted using t-tests, and stepwise regression analysis was used to identify the psychopathological predictors of neuroticism. Results: Compared with controls, the dermatology outpatient group demonstrated significantly higher SCL-90-R scores for all nine clinical scales and neuroticism, scoring lower in extraversion, openness, and agreeableness. Within the dermatology outpatient group, neuroticism was positively associated with all psychopathological dimensions (r=0.265–0.583; p<0.01). Depression, somatization, and obsessive-compulsive symptoms were significant predictors of neuroticism (F=33.969; p<0.001). Conclusion Female outpatients with dermatological conditions may experience considerable psychological distress and elevated neuroticism, even in the absence of clinical psychiatric diagnoses. Screening for psychological symptoms—including neuroticism, depression, somatization, and obsessive-compulsive features—should be considered in dermatological settings to better address patients’ emotional well-being and optimize care outcomes.

The gastrointestinal stromal tumor (GIST) is one of the most common mesenchymal tumors of the gastrointestinal tract. Between the 1990s and early 2000s, GIST was identified as a tumor characterized by KIT or PDGFRA mutations, resulting in imatinib being established as an effective targeted therapy. However, with advances in molecular diagnostics, approximately 10%–15% of GISTs have been reported to harbor alternative mutations, such as those in the succinate dehydrogenase subunit genes and BRAF, leading to the development of additional targeted therapies. GISTs exhibit a wide spectrum of clinical behaviors, ranging from indolent to highly aggressive, prompting the development of diverse risk classification systems. However, multiple systems remain in use, leading to inconsistent pathologic reports. Moreover, the mitotic counting method—a key factor in risk stratification—has become a major source of confusion among pathologists owing to the adoption of digital pathology and discrepancies between updated international guidelines and outdated reimbursement requirements. These inconsistencies have hindered pathologic reporting and communication between pathologists and clinicians. This review comprehensively overviews the historical background, molecular subtypes, and risk classification systems of GIST, focusing on evolving issues in mitotic rate evaluation and the application of risk classification systems in clinical practice.