Objectives: Assessing healthcare quality at the national level is essential for evaluating health system performance and identifying areas requiring improvement. This study examined long-term trends in healthcare quality in Korea from 2008 to 2023 using internationally comparable indicators. Methods: We conducted a trend analysis of healthcare quality in Korea using the Organization for Economic Cooperation and Development (OECD) Health Care Quality and Outcomes framework and quality indicators. Indicators across multiple domains, including acute care, primary care, prescribing in primary care, mental healthcare, and patient experiences, were analyzed and compared with OECD averages. Results: Healthcare quality in Korea improved across several domains. Thirty-day mortality for acute myocardial infarction decreased from 14.2% in 2008 to 10.2% in 2023, while mortality for ischemic stroke declined from 8.7% to 5.5%. Avoidable hospitalizations decreased substantially, with hospitalizations for chronic obstructive pulmonary disease declining by 59.7%. The proportion of patients with diabetes receiving cholesterol-lowering treatment increased from 44.1% to 82.5%. However, the proportion of broad-spectrum antibiotic prescriptions remained substantially higher than the OECD average (40.3 vs. 15.5%). In mental healthcare, excess mortality ratios increased from 4.3 in 2010 to 4.9 in 2023 for schizophrenia and from 3.5 to 4.3 for bipolar disorder, while post-discharge suicide rates showed little improvement. Patient experience indicators related to patient-physician communication improved and approached OECD averages. Conclusions Healthcare quality in Korea improved substantially between 2008 and 2023, particularly in acute care outcomes and chronic disease management. However, persistent challenges remain in areas such as antibiotic use, polypharmacy, and mental healthcare. These findings provide internationally comparable evidence to inform future health policy and healthcare quality improvement efforts.

Purpose: Neoadjuvant treatment (NAT) is now the standard for borderline resectable pancreatic cancer (RPC) and is being considered for RPC. Early recurrence after curative surgery in RPC is often seen as a treatment failure, prompting considerations for NAT. Our goal was to develop an artificial intelligence (AI)-based predictive model utilizing preoperatively available factors to forecast early recurrences of resected RPC. Methods: This study included 469 patients who underwent surgery for RPC between 2011 and 2019. Clinicopathologic and oncologic data were retrospectively reviewed. Preoperative variables, including laboratory data and imaging findings, were collected. Early recurrence was defined as recurrence occurring within a year after surgery. Deep neural networks were then used to select variables by assessing their importance. A new model predicting early recurrence of RPC was subsequently developed. Results: Of the patients evaluated, 199 (42.4%) experienced early recurrence. The predictive model included 14 preoperative variables: CA 19-9, preoperative pancreatitis, serum albumin, platelet count, lymphocyte count, the American Society of Anesthesiologists physical status classification, tumor size, monocyte count, age, body mass index, CRP, hemoglobin, WBC count, and CEA. The area under the curve for the model was 0.786 in the training set and 0.734 in the test set. Conclusion We developed an AI-based model to predict the early recurrence of RPC using preoperative parameters. By identifying patients at risk of early recurrence, optimal individualized treatments such as NAT can be considered. Future prospective studies are crucial to establish clear indications for NAT in RPC.

Purpose: Postoperative complications following gastric cancer surgery significantly impact patient outcomes, yet standardized definitions for these events have not been consistently applied across institutions in Korea. This study aimed to develop a consensus-based, standardized complication classification system specific to gastrectomy for gastric cancer as part of the Korean Quality Improvement Platform in Surgery (K-QIPS) initiative. Methods: As part of K-QIPS, a dedicated task force team (TFT) was formed with surgical experts from fourteen high-volume hospitals across Korea. The TFT conducted ten formal meetings to review existing literature and international guidelines, and incorporated findings from randomized controlled trials. The final complication list was developed through expert consensus and structured into a standardized framework. A Data Entry Manual was created to support consistent data collection by surgical clinical reviewers. Results: The TFT defined specific postoperative complications following gastrectomy for gastric cancer, including anastomotic leakage, duodenal stump leakage, pancreatic fistula, intra-abdominal and luminal bleeding, delayed gastric emptying, and internal hernia. Notably, internal hernia was described in standardized form for the first time. General complications were developed first and overlapped in part with the gastric cancer-specific list. The task force also produced a Data Entry Manual that provides practical instructions to ensure consistency and accuracy in complication reporting. Conclusion This nationwide consensus initiative established the first standardized complication classification system for gastric cancer surgery in Korea. The proposed definitions and data entry system are expected to improve complication reporting, enable multicenter research, support surgical quality benchmarking, and ultimately enhance patient outcomes.

Metastatic spine cancer (MSC), a common complication of advanced malignancies, poses significant challenges due to pain, neurological deficits, and mechanical instability. While radiation therapy is a cornerstone of treatment, the role of spine surgery is evolving, fueled by advances in surgical techniques and radiation modalities such as stereotactic body radiation therapy (SBRT). This review examines the evolving role of spine surgery in MSC management, focusing on separation surgery, surgical innovations, and future directions. The treatment paradigm for MSC shifted with the advent of SBRT, which delivers high-dose precision radiation, improving local control even in radioresistant tumors. This advancement enabled the adoption of separation surgery, a technique aimed at creating a safe margin between the tumor and neural structures without extensive tumor resection, followed by SBRT to achieve tumor regression. Separation surgery reduces morbidity, shortens operative times, and achieves comparable local control rates to traditional corpectomy procedures. Innovations like minimally invasive surgery, stereotactic navigation, and cement-augmented instrumentation have improved surgical safety and outcomes. Emerging technologies, such as machine learning for predictive modeling and augmented reality for surgical navigation, hold potential for improving decision-making and procedural accuracy. Spine surgery remains integral to MSC treatment, especially for high-grade metastatic epidural spinal cord compression and mechanical instability. Integrating advanced technologies and multidisciplinary collaboration is key to optimizing patient outcomes. Comprehensive, patient-centered strategies addressing both oncological and mechanical aspects can improve survival and quality of life for patients with MSC.

Knee osteoarthritis (KOA) is a progressive and chronic musculoskeletal condition that continues to be the leading cause of disability worldwide. Conventional treatment approaches for the management of KOA largely focus on symptom alleviation rather than halting or reversing disease progression. However, recent advancements have highlighted the integrated interplay of mechanical stress, inflammation, cellular senescence, and chondrocyte dysfunction in the progression of KOA, in turn prompting new therapeutic strategies. Therefore, emerging interventions such as regenerative medicine, gene therapy, senolytic, platelet-rich plasma (PRP), disease-modifying osteoarthritis drugs (DMODs), and biologics have broadened the therapeutic options. Additionally, natural compounds demonstrated potential in KOA treatment with promising chondroprotective and anti-inflammatory effects.Moreover, digital technologies and clinical and molecular phenotyping enhanced early diagnosis, monitoring, and personalized management of the disease. Therefore, the current narrative review focuses on the molecular insights, clinical outcomes and prospects for the rapidly evolving landscape of current and emerging treatment approaches for the management of knee osteoarthritis (KOA).

Purpose: This study aimed to report the real-world outcomes of intravesical gemcitabine for bacillus Calmette–Guérin (BCG)–unresponsive, high-risk, non–muscle-invasive bladder cancer (HR-NMIBC) in Korean patients who were unable or unwilling to undergo radical cystectomy (RC). Materials and Methods: This retrospective study included 131 patients (median age, 69 years; 88.5% men) treated with intravesical gemcitabine for BCG-unresponsive HR-NMIBC at nine centers between May 2019 and April 2022. The primary endpoint was 1-year recurrence-free survival (RFS). The secondary endpoints included factors influencing RFS, progression-free survival (PFS), cystectomy- free survival, cancer-specific survival (CSS), overall survival (OS), and safety. Survival analysis was performed using the Kaplan-Meier method, and risk factors for recurrence were assessed using Cox regression models. Results: Patients were followed up for a median duration of 25 months, with carcinoma in situ (CIS) in 41.9% of the patients. The 1-year and 2-year RFS rates were 68% and 42%, while the 1-year and 2-year PFS rates were 87% and 77%, respectively. No significant factors influencing RFS were identified. Seventeen patients underwent RC during a median follow-up of 16 months, with the condition in three patients progressing to muscle-invasive disease on final pathological analysis. The 2-year CSS and OS rates were 98% and 97%, respectively. Intravesical gemcitabine was well-tolerated, with only seven patients (5.3%) unable to complete the full induction course. Conclusion Our research highlights the potential of intravesical gemcitabine as a viable bladder-sparing treatment option for BCG-unresponsive HR-NMIBC, providing real-world evidence on its safety, efficacy, and tolerability.

Background: Degenerative lumbar scoliosis (DLS) alters spinal anatomy, impacting the feasibility and dimensions of surgical corridors for oblique lumbar interbody fusion (OLIF). This study aimed to compare the morphometric characteristics of OLIF corridors between patients with left- and right-apex curves, focusing on corridor dimensions, psoas muscle asymmetry, and segmental artery positioning. Methods: A retrospective analysis of 80 patients with DLS (left apex: n = 43; right apex: n = 37) was conducted. Corridor angles and distances, psoas muscle cross-sectional areas, and segmental artery locations were measured at L2–3, L3–4, and L4–5 using T2-weighted magnetic resonance imaging (MRI). Multivariate regression analysis identified key anatomical predictors of corridor variation at L2–3. Results: Regardless of the apex direction, the left-sided corridor was consistently larger across all levels. Corridor angles were significantly greater on the left side in both groups (left apex: L2–3, 39.7° vs. 13.5°; L3–4, 38.3° vs. 11.9°; L4–5, 38.6° vs. 6.9°;right apex: L2–3, 53.7° vs. 18.1°; L3–4, 43.1° vs. 18.5°; L4–5, 28.6° vs. 11.9°). Psoas muscle areas were larger on the concave side of the curve (left apex: 125.7 mm2 vs. 67.9 mm2 ; right apex: 125.4 mm2 vs. 77.4 mm2 ). Segmental artery positioning exhibited curvedependent asymmetry at L2–3 (left apex: 8.8 mm vs. 7.9 mm; right apex: 9.6 mm vs. 8.0 mm). Multivariate regression analysis revealed that in the left apex group, the left psoas area (β = −0.132) and segmental artery distances were significant predictors of corridor angle variation (R2 = 0.517). In the right apex group, psoas asymmetry (β = 0.123) and sagittal alignment (β = −0.851) were associated with corridor differences. Conclusions OLIF corridors in DLS patients demonstrate consistent left-sided dominance, regardless of apex direction. Psoas muscle asymmetry and segmental artery positioning contribute to corridor variations. While the left-sided approach remains standard, right-sided access may be feasible in select cases, particularly at L4–5. These findings provide insights for optimizing preoperative planning and surgical decision-making in DLS patients.

Background/Aims: Biliary tract cancer (BTC) is a rare malignancy with poor prognosis. We investigated genomic determinants of clinical benefit from gemcitabine, cisplatin, and nab-paclitaxel (GAP) versus gemcitabine and cisplatin (GC) in advanced BTC. Methods: Clinical and genomic data using TruSight Oncology 500 were analyzed from patients treated with GAP (N=198) or GC (N=89) as first-line therapy. Results: With a median follow-up of 33.0 months, GAP modestly improved progression-free survival (PFS) (hazard ratio [HR] 0.764; 95% confidence interval [CI] 0.591–0.989) without significant overall survival (OS) difference compared to GC. Genomic profiling revealed frequent alterations in TP53 (35.2%), KRAS (16.4%), SMAD4 (10.5%), and TNFRSF14 (10.5%), involving RTK/RAS (44.3%), TP53 (41.8%), and PI3K (20.2%) pathways. Single-gene mutations did not predict treatment benefit. However, pathway-level analysis identified PI3K pathway activation as significantly associated with inferior PFS (HR 2.148; 95% CI 1.478–3.124) and OS (HR 2.096; 95% CI 1.413–3.109) in patients receiving GAP, an effect not observed with GC. Importantly, GAP conferred clinical benefit only in patients without PI3K pathway activation, while no survival advantage was seen in those with such alterations (Pinteraction=0.023 for PFS, Pinteraction=0.003 for OS). Similar results were obtained in the independent validation cohort treated with GAP (N=103) or GC (N=64) for BTC. Conclusions Genomic profiling using next-generation sequencing identified PI3K pathway activation as key molecular determinant that differentiates patient outcomes between GAP and GC treatments in advanced BTC.

Background: Transthoracic echocardiography (TTE) requires time-intensive integration of quantitative measure‑ ments and qualitative visual assessment. Fully automated artificial intelligence (AI)-based analysis may reduce total analysis time while preserving accuracy, but systematic real-world validation remains limited. Methods: This prospective, single-center pilot study enrolled 40 TTE examinations. Identical deidentified DICOM datasets were independently provided to a trained cardiac sonographer and a fully automated AI system comprising quantitative and qualitative visual interpretation modules. All outputs were compared with a cardiologist-adjudicated reference standard. Primary endpoints were total analysis time and noninferiority of AI-derived left ventricular ejection fraction (LVEF) versus the reference standard, with a prespecified margin of 3 percentage points (one-sided α = 0.025). Results: Median analysis time was 94 s (interquartile range [IQR], 82–106 s) for the AI workflow versus 490 s (IQR, 438–626 s) for the human workflow (P < 0.001). AI-derived LVEF met the noninferiority criterion (mean difference, 0.00 percentage points; upper one-sided 95% confidence bound, 1.41 percentage points; P < 0.001), with an intraclass correlation coefficient (ICC) of 0.902 (95% confidence interval, 0.822–0.947). ICCs for secondary quantitative indi‑ ces ranged from 0.625 to 0.989. For aortic regurgitation severity grading, AI’s overall accuracy was 75.0% (quadratic weighted κ = 0.762), compared with 82.5% for human interpretation (κ = 0.812, McNemar P = 0.579). Conclusions Fully automated AI-assisted TTE analysis substantially reduced total analysis time while maintaining noninferior LVEF accuracy and acceptable performance across secondary quantitative and qualitative indices. These findings support the use of AI as a practical workflow accelerator in routine echocardiography.

Background: s/Aims: Balancing surgical risks and benefits is crucial for managing non-functional pancreatic neuroendocrine tumors (NF-PNETs). Despite high postoperative pancreatic fistula (POPF) rates, studies on postoperative complications of sporadic NFPNETs are scarce. Thus, this study aimed to investigate postoperative complications and identify risk factors for POPF. Methods: A retrospective review of 166 NF-PNET surgeries performed at Severance Hospital between February 2000 and August 2023 was conducted. Results: Age > 65 years and higher American Society of Anesthesiology (ASA) grade were not significantly correlated with severe complications (odds ratio [OR]: 1.10, p = 0.871 and OR: 1.47, p = 0.491, respectively). Surgical procedures included enucleation (13.9%), distal pancreatectomy (50.0%), central pancreatectomy (4.8%), pancreaticoduodenectomy (PD) (26.5%), and total pancreatectomy (4.8%). Severe complications occurred in 12.05% of surgeries. The overall incidence of all POPFs including biochemical leaks was 53%, while clinically relevant POPF (grade B or C) occurred in 7.8% of patients. Logistic regression showed that PD (OR: 3.94, p = 0.092) tended to be risk factor for POPF and that diameter of the main pancreatic duct (MPD) ≤ 3 mm was a significant risk factor for POPF (OR: 0.22, p = 0.008). A pancreas thickness (PT)/MPD ratio > 4.47 on preoperative computed tomography predicted all POPFs in PD patients (OR: 11.70, p = 0.001). Conclusions Age and comorbidities had no significant impact on surgical outcomes. PD was associated with higher serious complications and POPF rates. The PT/MPD ratio is a valuable preoperative tool for predicting POPF risk in PD patients.