Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is a neuroinflammatory disease mediated by autoantibodies against the NMDAR, typically presenting with psychiatric symptoms, cognitive dysfunction, and motor dysfunction. These neuropsychiatric symptoms may be mimicked by drug abuse, and the development of anti-NMDAR encephalitis may be triggered by certain substance use. Here we report a case of anti-NMDAR encephalitis who developed neuropsychiatric symptoms after illicit substance use, the first report in Korea.

Gastric cancer remains a significant global health concern, coercing the need for advancements in imaging techniques for ensuring accurate diagnosis and effective treatment planning. Artificial intelligence (AI) has emerged as a potent tool for gastric-cancer imaging, particularly for diagnostic imaging and body morphometry. This review article offers a comprehensive overview of the recent developments and applications of AI in gastric cancer imaging. We investigated the role of AI imaging in gastric cancer diagnosis and staging, showcasing its potential to enhance the accuracy and efficiency of these crucial aspects of patient management. Additionally, we explored the application of AI body morphometry specifically for assessing the clinical impact of gastrectomy. This aspect of AI utilization holds significant promise for understanding postoperative changes and optimizing patient outcomes. Furthermore, we examine the current state of AI techniques for the prognosis of patients with gastric cancer. These prognostic models leverage AI algorithms to predict long-term survival outcomes and assist clinicians in making informed treatment decisions.However, the implementation of AI techniques for gastric cancer imaging has several limitations. As AI continues to evolve, we hope to witness the translation of cutting-edge technologies into routine clinical practice, ultimately improving patient care and outcomes in the fight against gastric cancer.

Purpose: We are reporting a case of transient posterior capsular opacity after intravitreal Bevacizumab (Avastin®, Roche Pharma Schweis AG, Zurich, Switzerland) injection in a phakic patient.Case summary: A 34-year-old man visited our clinic with sudden blurred vision in his left eye one day after the intravitreal injection for central serous chorioretinopathy. His visual acuity was 1.0 before the injection and decreased to 0.1 at the presentation. On slit-lamp examination, a snow-flake appearance opacity was noted behind the posterior capsule. No newly appearing lesion was presented on fundus exam, so topical antibiotics and steroid eyedrops were continued. One week after the injection, the visual acuity improved to 1.0 and posterior capsular opacity remained but decreased. Five weeks after the injection, the posterior capsular opacity resolved. Fundus exam revealed improved but persistent subretinal fluid, so he overwent another intravitreal injection. The posterior capsular opacity did not recur for seven months. Conclusions Iatrogenic lens damage or the turbidity formed by medication can cause a posterior capsular opacity after intravitreal injection. If structural damage is uncertain, close monitoring is needed and ultimately, cataract surgery may be required for chronic crystalline lens opacity.

With the widespread use of broad-spectrum antibiotics in clinical practice, the emergence of multidrug-resistant (MDR) gram-negative bacteria has become a global problem. The MDR Pseudomonas aeruginosa infection is especially difficult to treat and increases mortality in critically ill patients. Ceftolozane-tazobactam (Zerbaxa™) is a fifth-generation cephalosporin and beta-lactamase inhibitor that has proved to be effective for treating complicated urinary tract infections and complicated intra-abdominal infections caused by MDR P. aeruginosa. Herein, we report the first case of pediatric hematologic cancer in Korea that was successfully treated for MDR P. aeruginosa bacteremia with Ceftolozane-tazobactam.