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Introduction: Living-donor kidney transplantation (LDKT) is often performed using hand-assisted laparoscopic donor nephrectomy (HALDN). Adherent perinephric fat (APF) can complicate HALDN, increasing operative time. The Mayo Adhesive Probability (MAP) score predicts APF preoperatively.
View Article and Find Full Text PDFComparison of hand-assisted laparoscopic adrenalectomy laparoscopic adrenalectomy for large pheochromocytomas: a retrospective study.
Gland Surg
December 2024
Department of Urology, Shandong Provincial Hospital, Shandong University, Jinan, China.
Background: It remains uncertain whether hand-assisted laparoscopic adrenalectomy (HAL) has advantages in treating large pheochromocytomas (PHEOs). This study aimed to assess the feasibility and safety of HAL compared to laparoscopic adrenalectomy (LA).
Methods: We conducted a retrospective study on patients with PHEOs ≥6 cm who received HAL (n=16) and LA (n=20) at Shandong Provincial Hospital from January 2020 to January 2023.
European Association of Urology Guidelines on Renal Transplantation: Update 2024.
Eur Urol Focus
November 2024
Department of Urology, Fundacion Puigvert, University Autonoma of Barcelona, Barcelona, Spain.
Background And Objective: The European Association of Urology (EAU) Panel on Renal Transplantation released an updated version of the renal transplantation (RT) guidelines. This report aims to present the 2024 EAU guidelines on RT.
Methods: A broad and comprehensive scoping exercise covering all areas of RT guidelines published between May 31, 2020 and April 1, 2023 was performed.
Precision at scale: Machine learning revolutionizing laparoscopic surgery.
World J Clin Oncol
October 2024
Department of Surgery, Pontificia Universidad Bolivariana, Medellín 0057, Colombia.
In their recent study published in the , the article found that minimally invasive laparoscopic surgery under general anesthesia demonstrates superior efficacy and safety compared to traditional open surgery for early ovarian cancer patients. This editorial discusses the integration of machine learning in laparoscopic surgery, emphasizing its transformative potential in improving patient outcomes and surgical precision. Machine learning algorithms analyze extensive datasets to optimize procedural techniques, enhance decision-making, and personalize treatment plans.
View Article and Find Full Text PDFExperience-based transition to robotic surgery in an experienced program in minimally invasive hepatobiliary surgery.
Surg Endosc
December 2024
Department of General, Visceral and Transplantation Surgery, Clinic and University Hospital, Virgen de La Arrixaca, IMIB-ARRIXACA, Ctra. Madrid-Cartagena, S/N, El Palmar, 30120, Murcia, Spain.
Background: The adoption of robotic techniques in liver surgery introduces significant challenges for their safe integration within hepatobiliary surgery units. This study is designed to investigate the complexities associated with establishing a robotic surgery program.
Methods: Data on robotic hepatobiliary surgeries were prospectively collected from October 2021 to October 2023.
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