Background: Studies have thus far neglected to evaluate the impact of the da Vinci single port (SP) robotic platform on surgeon experience and operating room efficiency. We sought to assess the effect of the SP platform on surgeon cognitive load measures during robotic assisted laparoscopic prostatectomy (RALP).
Methods: We prospectively compared the first 20 SP-RALPs performed at our institution to 20 multi-port (MP)-RALPs performed by a single experienced robotic surgeon. Three multi-dimensional assessment tools were used to evaluate mental and surgical workload, teamwork and workflow disruptions.
Results: No statistically significant differences were found between the MP-RALP and SP-RALP cohorts when evaluated by NASA Task Load Index, Surgery Task Load Index and Observational Teamwork Assessments.
Conclusions: The SP robotic platform did not adversely affect human factor performance of the surgeon during RALP. Multi-institutional validation will be necessary to confirm these initial findings.
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BMC Womens Health
January 2025
Department of Breast Center, the Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Shandong, Qingdao, 266000, China.
Background: Endoscopic surgery provides good cosmetic results while ensuring therapeutic outcomes. This study aimed to evaluate the efficacy, safety, and cosmetic outcome of endoscopic surgery for benign breast tumors.
Methods: In total, 108 patients were enrolled and divided into endoscopic or open surgery groups based on the patients' voluntary decisions.
BMC Surg
January 2025
Department of Cardiothoracic Surgery, Fifth Affiliated Hospital of Sun Yat-Sen University, No.52 East Meihua Road, Zhuhai, Guangdong Province, 519000, China.
Background: Laparoscopic-assisted single-port mediastinoscopic esophagectomy is a safe and effective emerging minimally invasive esophagectomy, but little has been reported about the learning curve for this technology. The goal of the study was to determine the number of procedures to achieve different levels of proficiency on the learning curve.
Methods: This study retrospectively analyzed data from consecutive surgeries performed by the same surgeon at the same center from 2016 to 2021.
Rev Port Cardiol
January 2025
Cardiology Department, Santa Cruz Hospital, Lisbon, Portugal; Cardiac Rehabilitation Unit, Santa Cruz Hospital, Lisbon, Portugal.
Introduction And Objectives: Cardiopulmonary exercise testing (CPET) is the gold standard for quantifying aerobic functional capacity, yet it is costly and not widely available. The CLINIMEX Aerobic Fitness Questionnaire (C-AFQ) may be a practical alternative as it estimates oxygen consumption at peak exercise (VO peak) based on patients' responses to a list of activities with known energy requirements. However, its applicability in cardiac patients is unclear and has not yet been studied.
View Article and Find Full Text PDFPort J Card Thorac Vasc Surg
October 2024
Thoracic Surgery Department - Hospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, Portugal.
Introduction: Pancoast tumors encompass any tumor located on the lung apex, extending into structures in the thoracic inlet and, often, leading to the characteristic clinical syndrome. The main goal of this study is to analyze the response to multimodal treatment and outcome of patients with Pancoast tumors.
Materials And Methods: We performed a retrospective cohort single center study of patients with superior sulcus nonsmall cell lung carcinomas who underwent surgery between January of 2011 and February of 2022.
Phys Med Biol
January 2025
School of Software Engineering, Xi'an Jiaotong University, Xi 'an Jiaotong University Innovation Port, Xi 'an, Shaanxi Province, Xi'an, Shaanxi, 710049, CHINA.
Deformable registration aims to achieve nonlinear alignment of image space by estimating a dense displacement field. It is commonly used as a preprocessing step in clinical and image analysis applications, such as surgical planning, diagnostic assistance, and surgical navigation. We aim to overcome these challenges: Deep learning-based registration methods often struggle with complex displacements and lack effective interaction between global and local feature information.
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