Anticancer treatment for acute lymphocytic leukemia is based on drugs such as methotrexate, 6-mercaptopurine, vincristine, and asparaginase. Asparaginase-related pancreatitis is known to have an incidence of up to 18%, and is a major cause of discontinuation of anticancer treatment for leukemia due to acute onset and chronic complications. There were various cases of treatment of peripancreatic fluid retention caused by anticancer drugs in leukemia patients. Use of lumen-apposing metal stents (LAMS) for walled-off necrosis (WON) drainage has recently increased. The electrocautery-enhanced delivery system allowed simpler and faster stent placement, streamlining the overall procedure and potentially reducing procedure time. Therefore, favorable outcomes have been reported with the use of LAMS for endoscopic drainage of various conditions. In this paper, we discuss a case in which hot-system LAMS was performed to treat L-asparaginase-induced acute pancreatitis and pancreatic pseudocyst in an adult patient with acute lymphoblastic leukemia.

Objective: To test the performance of an artificial intelligence-based computer-aided diagnosis (AI-CAD) designed for fullfield digital mammography (FFDM) when applied to synthetic mammography (SM). Materials and Methods: We analyzed 501 women (mean age, 57 ± 11 years) who underwent preoperative mammography and breast cancer surgery. This cohort consisted of 1002 breasts, comprising 517 with cancer and 485 without. All patients underwent digital breast tomosynthesis (DBT) and FFDM during the preoperative workup. The SM is routinely reconstructed using DBT. Commercial AI-CAD (Lunit Insight MMG, version 1.1.7.2) was retrospectively applied to SM and FFDM to calculate the abnormality scores for each breast. The median abnormality scores were compared for the 517 breasts with cancer using the Wilcoxon signed-rank test. Calibration curves of abnormality scores were evaluated. The discrimination performance was analyzed using the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity using a 10% preset threshold. Sensitivity and specificity were further analyzed according to the mammographic and pathological characteristics.The results of SM and FFDM were compared. Results: AI-CAD demonstrated a significantly lower median abnormality score (71% vs. 96%, P < 0.001) and poorer calibration performance for SM than for FFDM. SM exhibited lower sensitivity (76.2% vs. 82.8%, P < 0.001), higher specificity (95.5% vs.91.8%, P < 0.001), and comparable AUC (0.86 vs. 0.87, P = 0.127) than FFDM. SM showed lower sensitivity than FFDM in asymptomatic breasts, dense breasts, ductal carcinoma in situ, T1, N0, and hormone receptor-positive/human epidermal growth factor receptor 2-negative cancers but showed higher specificity in non-cancerous dense breasts. Conclusion AI-CAD showed lower abnormality scores and reduced calibration performance for SM than for FFDM.Furthermore, the 10% preset threshold resulted in different discrimination performances for the SM. Given these limitations, off-label application of the current AI-CAD to SM should be avoided.

Bioassay-guided fractionation of the methanolic extract of Artemisia iwayomogi Kitamura led to the isolation of 12 known compounds (1‒12). Notably, this study marks the first report of 3-epimeridinol (1) being isolated and structurally characterized from a natural source. Additionally, compounds 3, 4, and 7 were isolated from the Asteraceae family for the first time. The structural elucidation of the isolated compound was achieved through analysis of 1D, 2D NMR, and MS data. Upon evaluation of their inhibitory effects against lipopolysaccharideinduced nitric oxide production, compound 12 demonstrated significant inhibitory activity with greater potency than the reference compound quercetin. These results established A. iwayomogi as a promising source of antiinflammatory agents.

The roots of Astragalus membranaceus Bunge have long been used in herbal medicine for their diversebiological activities. Notably, its potential anti-diabetic properties have been extensively studied, highlighting promising therapeutic prospects. In this study, we conducted a comprehensive investigation focusing on flavonoid components from the roots of A. membranaceus and their PTP1B inhibitory activity. As a result, we isolated a total of 24 flavonoids, among which formonentin (1), pratensein (3), and vesticarpan (19) emerged as the most potent inhibitors against PTP1B with IC50 value of 10.9 ± 1.09 μM, 10.0 ± 1.71 μM, and 10.3 ± 1.31 μM, respectively.Additionally, through the enzyme kinetic analysis, the inhibition mode of compound 19 was determined as a competitive inhibitor, with Ki value of 7.6 ± 1.17 μM. Furthermore, the molecular docking simulation elucidated the binding mechanism of compound 19 with PTP1B, mainly through van der Waals forces and hydrogen bonds.This study highlights the PTP1B inhibitory potential of the flavonoid constituents derived from the roots of A. membranaceus. Moreover, discovering vesticarpan (19) as a novel PTP1B inhibitor provides a significant foundation for further investigations to develop innovative therapeutic strategies for diabetes treatment.

Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.

Objective: Previous studies have reported an association between cancer-related symptoms and perceived social support (PSS). The objective of this study was to analyze whether Chemotherapy-Induced Peripheral Neuropathy (CIPN), a prevalent side effect of chemotherapy, varies according to PSS level using a validated tool for CIPN at prospective follow-up. Methods: A total of 39 breast cancer patients were evaluated for PSS using the Multidimensional Scale of Perceived Social Support (MSPSS) prior to chemotherapy and were subsequently grouped into one of two categories for each subscale: low-to-moderate PSS and high PSS. CIPN was prospectively evaluated using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Chemotherapy-Induced Peripheral Neuropathy 20 (CIPN20) at five time points. A linear mixed-effects model with square root transformation was employed to investigate whether the CIPN20 scales varied by PSS level and time point. Results: Statistical analysis of the MSPSS total scale and subscales revealed a significant effect of the friends subscale group and time point on the CIPN20 sensory scale. The sensory scale score of CIPN20 was found to be lower in participants with high PSS from friends in comparison to those with low-to-moderate PSS at 1 month post-chemotherapy (p=0.010). Conclusion This is the first study to prospectively follow the long-term effect of pre-treatment PSS from friends on CIPN. Further studies based on larger samples are required to analyze the effects of PSS on the pathophysiology of CIPN.

Orthopedic surgery is becoming increasingly common, particularly among older adults, due to population aging and the rising incidence of degenerative conditions. Older patients frequently have multiple comorbidities, which elevate the risk of surgical complications. Effective pain management is crucial in facilitating recovery and reducing the likelihood of postoperative complications. This review examines the role of regional anesthesia in optimizing recovery outcomes for orthopedic patients.Current Concepts: Regional anesthesia significantly reduces opioid consumption, which in turn mitigates side effects such as nausea, vomiting, respiratory depression, and urinary retention. It also promotes early mobilization, which is crucial for functional recovery, and helps prevent complications such as deep vein thrombosis and muscle atrophy. Advanced techniques like local infiltration analgesia and motor-sparing blocks offer effective pain relief while preserving muscle strength. This not only facilitates faster rehabilitation but also reduces the length of hospital stays. These advantages underscore the importance of regional anesthesia in improving surgical outcomes and expediting recovery.Discussion and Conclusion: Regional anesthesia is crucial in improving recovery after orthopedic surgery by providing effective pain management, facilitating early mobilization, and minimizing complications. It is essential to customize the anesthetic approach based on the specific surgical procedure and the patient’s overall health to achieve optimal outcomes.

Purpose: This study compared the treatment outcomes between fixation using screws and suture buttons for addressing distal tibiofibular syndesmosis diastasis combined with ankle fractures. Materials and Methods: A retrospective study was conducted involving 20 patients with ankle fractures treated with screws and 21 patients treated with suture buttons for distal tibiofibular syndesmosis diastasis. The postoperative clinical outcomes were assessed using the American Orthopedic Foot and Ankle Society (AOFAS) score, while the radiological outcomes were determined by measuring the tibiofibular clear space, tibiofibular overlap, and medial clear space on the pre- and post-operative radiographs. In addition, factors such as the need for internal fixation removal surgery and the incidence of internal fixation damage were investigated. Results: One-year post-surgery, the average AOFAS score showed no significant difference between the screw and suture button surgery groups. Initially, measurements of the tibiofibular clear space, tibiofibular overlap, and medial clear space did not exhibit significant differences between the two groups. On the other hand, significant differences were observed one-year post-surgery. All patients in the screw surgery group underwent screw removal surgery. Within this group, two cases of screw breakage and one case of surgical wound infection were recorded. Conclusion When treating distal tibiofibular syndesmosis diastasis, the screw surgery group and the suture button surgery group showed similar clinical outcomes measured by AOFAS one year after surgery, but the suture button surgery group had better results in radiological evaluation and complication frequency.

We analyzed the publication and submission statuses of Korean medical journals from 2010 to 2024, amidst challenges impacting researchers. Data from 58 domestic journals identified through the 2023 JCR database were used to assess publication status, while data from the Journal of Korean Medical Science (JKMS) were utilized to examine submission status.The proportion of published original articles by domestic authors decreased by 3% in 2024 compared to 2023. Submissions to JKMS also decreased overall, except for slight increases in May and October 2024. In contrast, international submissions to JKMS showed consistent growth, surpassing the 15-year average, reflecting growing global interest. Addressing issues, including medical school admission policies and the lingering effects of coronavirus disease 2019, is vital to ensure a sustainable and thriving medical research environment in Korea.