Risk Factors for Surgical Site Infection After Cardiac Surgery in Neonates: A Case-Control Study.

This study was undertaken to determine the incidence and risk factors associated with the development of sternal wound infection in neonates after surgery for congenital heart disease. A case-control study was conducted to examine the influence of perioperative risk factors on the development of sternal infection. In total, 253 neonates with CHD underwent a complete median sternotomy.

Transfer Learning Approaches for Brain Metastases Screenings.

Background: In this study, we examined the effectiveness of transfer learning in improving automatic segmentation of brain metastases on magnetic resonance imaging scans, with potential applications in preventive exams and remote diagnostics.

Methods: We trained three deep learning models on a public dataset from the ASNR-MICCAI Brain Metastasis Challenge 2024, fine-tuned them on a small private dataset, and compared their performance to models trained from scratch.

Results: Results showed that models using transfer learning performed better than scratch-trained models, though the improvement was not statistically substantial.

Efficiency of an algorithm for the prevention of sternal infection after cardiac surgery in children under 1 year of age: A single-center retrospective study.

Background: Sternal infection is one of the most challenging complications to manage after heart surgery. The aim of our study is to evaluate the effectiveness of a developed algorithm for preventing sternal infection in pediatric patients after surgery for congenital heart disease (CHD).

Methods: We conducted a single-center study examining the treatment of 478 children with CHD.

[Clinical and economic aspects of laparoscopic surgery for acute cholecystitis in delayed presentation].

Objective: To study the clinical and economic features of laparoscopic surgery for acute cholecystitis in delayed presentation.

Material And Methods: A prospective non-randomized study (2020-2021) included 101 patients (73.2% (=74) men and 26.

THE BIOMECHANICAL ANALYSIS OF PELVIC OSTEOTOMIES APPLIED FOR DDH TREATMENT IN PEDIATRIC PATIENTS.

Objective: The aim: This article aimed to evaluate biomechanical changes during the most commonly used pelvic osteotomies (Salter, Dega, Pemberton) for DDH treatment in pediatric patients.

Patients And Methods: Materials and methods: Virtual pelvic models of 2- and 6-years old patients were created, material properties were assigned, pelvic osteotomies were simulated and biomechanical changes were evaluated using finite element analysis (FEA).

Results: Results: It was revealed that the patient's age impacts pelvic bones and cartilage density (in younger patients the pelvic elements are more pliable - p<0.