In patients with ossification of the posterior longitudinal ligament (OPLL), the risk of incidental durotomy (ID) during anterior cervical spine surgery is relatively high. However, the anterior surgical approach is technically demanding because of limited visualization and restricted operative space, which makes direct dural repair difficult. As a result, indirect repair techniques are typically employed, but these approaches can pose significant postoperative management challenges, particularly in cases of symptomatic cerebrospinal fluid (CSF) leakage. A 68-year-old male patient presented with right-sided symptoms involving both the upper and lower extremities. Radiological evaluation revealed C3–4–5 anterolisthesis, OPLL at the C4–5 level, and bilateral foraminal stenosis at C3–4 and C4–5. During anterior cervical discectomy and fusion (ACDF), an ID occurred at the anterior aspect of the C4–5 segment and was managed with primary indirect repair. Approximately 2 weeks postoperatively, the patient developed symptomatic CSF leakage. Under fluoroscopic guidance, a needle was precisely positioned adjacent to the interbody cage at the anterior aspect of the C4–5 segment—the site of the durotomy—to administer a targeted anterior epidural blood patch (EBP). The procedure was completed successfully without complications and resulted in effective resolution of the CSF leak. ID at the anterior aspect of the spinal canal during ACDF may lead to persistent symptoms due to CSF leakage. In such cases, a minimally invasive strategy, such as a targeted anterior EBP performed under fluoroscopic guidance, may represent an effective alternative to surgical re-exploration for symptom resolution.

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.

In patients with differentiated thyroid cancer (DTC), initial recurrence risk stratification based on clinical, histopathological, and perioperative data remains the key determinant for guiding management strategies during the first 1-2 years post-treatment. However, the adoption of ongoing risk stratification (ORS), which dynamically reassesses risk by integrating longitudinal clinical data and treatment response, enables more precise long-term prognostic assessment and facilitates highly individualized management. Building upon recent guidelines, the 2026 KTA guideline has been further refined by incorporating robust evidence from large-scale national cohorts and comprehensive systematic reviews. These updated recommendations outline contemporary concepts of ORS, risk-adapted TSH suppression targets, optimized surveillance modalities for recurrence detection, and disease-specific long-term follow-up strategies. Reflecting the paradigm shift toward de-escalated treatment, this revision integrates evolved perspectives on TSH suppression intensity, the clinical interpretation of thyroglobulin levels, and tailored follow-up intervals. These evidence-based recommendations aim to minimize unnecessary treatment and excessive surveillance in the large proportion of patients with excellent prognosis after initial therapy, while ensuring that each patient receives appropriately tailored and effective long-term management.

Despite widespread coronavirus disease 2019 (COVID-19) vaccine use, research on the association between vaccines and cerebrovascular venous sinus thrombosis (CVST) in diverse populations is limited. This study aimed to address this gap. Data from the World Health Organization pharmacovigilance database (1968–2024; total reports = 8,909,484) were used.Reporting odds ratios (RORs) and information components (ICs) were calculated to assess the association between each drug and CVST. In total, 851 cases were identified as vaccineassociated CVST, of which 527 (61.93%) occurred in female patients. Only Ad5-vectored COVID-19 vaccines had the highest ROR and IC value with CVST (ROR, 4.78; 95% confidence interval, 4.34–5.28; IC, 2.15). The risk of CVST increased with age, with the 45–64-years age group having an IC of 1.35, while the 65 years and older group had a higher IC of 2.08.The findings highlight the need for clinicians to recognize the potential risks of CVST and prioritize rigorous monitoring and research to ensure patient safety.

Background: Currently, little is known about the relationship between the temporal radiographic latent trajectories, which are based on the extent of coronavirus disease 2019 (COVID-19) pneumonia and clinical outcomes. This study aimed to elucidate the differences in the temporal trends of critical laboratory biomarkers, utilization of critical care support, and clinical outcomes according to temporal radiographic latent trajectories. Methods: We enrolled 2,385 patients who were hospitalized with COVID-19 and underwent serial chest radiographs from December 2019 to March 2022. The extent of radiographic pneumonia was quantified as a percentage using a previously developed deep-learning algorithm. A latent class growth model was used to identify the trajectories of the longitudinal changes of COVID-19 pneumonia extents during hospitalization. We investigated the differences in the temporal trends of critical laboratory biomarkers among the temporal radiographic trajectory groups. Cox regression analyses were conducted to investigate differences in the utilization of critical care supports and clinical outcomes among the temporal radiographic trajectory groups. Results: The mean age of the enrolled patients was 58.0 ± 16.9 years old, with 1,149 (48.2%) being male. Radiographic pneumonia trajectories were classified into three groups: The steady group (n = 1,925, 80.7%) exhibited stable minimal pneumonia, the downhill group (n = 135, 5.7%) exhibited initial worsening followed by improving pneumonia, and the uphill group (n = 325, 13.6%) exhibited progressive deterioration of pneumonia. There were distinct differences in the patterns of temporal blood urea nitrogen (BUN) and C-reactive protein (CRP) levels between the uphill group and the other two groups. Cox regression analyses revealed that the hazard ratios (HRs) for the need for critical care support and the risk of intensive care unit admission were significantly higher in both the downhill and uphill groups compared to the steady group. However, regarding in-hospital mortality, only the uphill group demonstrated a significantly higher risk than the steady group (HR, 8.2; 95% confidence interval, 3.08–21.98). Conclusion Stratified pneumonia trajectories, identified through serial chest radiographs, are linked to different patterns of temporal changes in BUN and CRP levels. These changes can predict the need for critical care support and clinical outcomes in COVID-19 pneumonia.Appropriate therapeutic strategies should be tailored based on these disease trajectories.

Despite widespread coronavirus disease 2019 (COVID-19) vaccine use, research on the association between vaccines and cerebrovascular venous sinus thrombosis (CVST) in diverse populations is limited. This study aimed to address this gap. Data from the World Health Organization pharmacovigilance database (1968–2024; total reports = 8,909,484) were used.Reporting odds ratios (RORs) and information components (ICs) were calculated to assess the association between each drug and CVST. In total, 851 cases were identified as vaccineassociated CVST, of which 527 (61.93%) occurred in female patients. Only Ad5-vectored COVID-19 vaccines had the highest ROR and IC value with CVST (ROR, 4.78; 95% confidence interval, 4.34–5.28; IC, 2.15). The risk of CVST increased with age, with the 45–64-years age group having an IC of 1.35, while the 65 years and older group had a higher IC of 2.08.The findings highlight the need for clinicians to recognize the potential risks of CVST and prioritize rigorous monitoring and research to ensure patient safety.

Background: Currently, little is known about the relationship between the temporal radiographic latent trajectories, which are based on the extent of coronavirus disease 2019 (COVID-19) pneumonia and clinical outcomes. This study aimed to elucidate the differences in the temporal trends of critical laboratory biomarkers, utilization of critical care support, and clinical outcomes according to temporal radiographic latent trajectories. Methods: We enrolled 2,385 patients who were hospitalized with COVID-19 and underwent serial chest radiographs from December 2019 to March 2022. The extent of radiographic pneumonia was quantified as a percentage using a previously developed deep-learning algorithm. A latent class growth model was used to identify the trajectories of the longitudinal changes of COVID-19 pneumonia extents during hospitalization. We investigated the differences in the temporal trends of critical laboratory biomarkers among the temporal radiographic trajectory groups. Cox regression analyses were conducted to investigate differences in the utilization of critical care supports and clinical outcomes among the temporal radiographic trajectory groups. Results: The mean age of the enrolled patients was 58.0 ± 16.9 years old, with 1,149 (48.2%) being male. Radiographic pneumonia trajectories were classified into three groups: The steady group (n = 1,925, 80.7%) exhibited stable minimal pneumonia, the downhill group (n = 135, 5.7%) exhibited initial worsening followed by improving pneumonia, and the uphill group (n = 325, 13.6%) exhibited progressive deterioration of pneumonia. There were distinct differences in the patterns of temporal blood urea nitrogen (BUN) and C-reactive protein (CRP) levels between the uphill group and the other two groups. Cox regression analyses revealed that the hazard ratios (HRs) for the need for critical care support and the risk of intensive care unit admission were significantly higher in both the downhill and uphill groups compared to the steady group. However, regarding in-hospital mortality, only the uphill group demonstrated a significantly higher risk than the steady group (HR, 8.2; 95% confidence interval, 3.08–21.98). Conclusion Stratified pneumonia trajectories, identified through serial chest radiographs, are linked to different patterns of temporal changes in BUN and CRP levels. These changes can predict the need for critical care support and clinical outcomes in COVID-19 pneumonia.Appropriate therapeutic strategies should be tailored based on these disease trajectories.