Minimally invasive harvest of the latissimus dorsi (LD) muscle is a desirable goal because of both the wide utility of this muscle and the length of incision required to harvest it. In this study, robotic harvest of the LD muscle was evaluated in a cadaver model and clinical series. Ten LD flaps were robotically harvested in eight cadavers. Positioning, port placement, procedural steps, instrumentation, and technical obstacles were all critically analyzed and reported. After modifying the technique based on experience gained in the cadaver study, eight LD muscles were robotically harvested and transferred in eight patients. Access included a short axillary incision and two additional port sites along the anterior border of the muscle. Insufflation was used to maintain the optical cavity. Indications included pedicled flaps for implant-based breast reconstruction and free flaps for scalp reconstruction. All flaps were successfully transferred without converting to open technique. In the clinical series, average time for setup and port placement was 23 minutes, and average robotic time was 1 hour and 51 minutes. There were no major complications. Robotic harvest of the LD is feasible and effective and permits full muscle harvest without a visible incision.
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http://dx.doi.org/10.1055/s-0032-1315789 | DOI Listing |
J Robot Surg
January 2025
Yangzhou University Medical College, Yangzhou University, Yangzhou, 225009, Jiangsu Province, China.
Rectal cancer's prevalence increases with an aging population, disproportionately affecting the elderly. The suitability of surgical interventions for this demographic is contentious due to underrepresentation during surgery. This study examines the practicality of utilizing Da Vinci surgery for rectal cancer patients who are 70 years and older.
View Article and Find Full Text PDFFront Plant Sci
December 2024
School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China.
In the cultivation of green chili peppers, the similarity between the fruit and background color, along with severe occlusion between fruits and leaves, significantly reduces the efficiency of harvesting robots. While increasing model depth can enhance detection accuracy, complex models are often difficult to deploy on low-cost agricultural devices. This paper presents an improved lightweight Pepper-YOLO model based on YOLOv8n-Pose, designed for simultaneous detection of green chili peppers and picking points.
View Article and Find Full Text PDFAsia Pac J Sports Med Arthrosc Rehabil Technol
January 2025
Chinese University of Hong Kong, Hong Kong SAR, China.
This technical note explores the novel use of an imageless robotic surgical system for simultaneous unicompartmental knee arthroplasty (UKA) and anterior cruciate ligament reconstruction (ACLR). Knee osteoarthritis (OA) and anterior cruciate ligament (ACL) insufficiency are common conditions that traditionally require separate management. The integration of robotic assistance offers enhanced precision in surgical procedures, addressing both medial compartment OA and ACL insufficiency in a single operation.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Computer Science & Artificial Intelligence, Jeonbuk National University, Jeonju-si 54896, Republic of Korea.
Recently, computer vision methods have been widely applied to agricultural tasks, such as robotic harvesting. In particular, fruit harvesting robots often rely on object detection or segmentation to identify and localize target fruits. During the model selection process for object detection, the average precision (AP) score typically provides the de facto standard.
View Article and Find Full Text PDFAnn Thorac Surg Short Rep
June 2024
Department of Cardiac Surgery, St Joseph's Health Hospital, Syracuse, New York.
Background: This study compares 2 minimally invasive coronary revascularization approaches: robot-assisted multivessel minimally invasive direct coronary artery bypass (MIDCAB) and the hybrid approach combining MIDCAB with subsequent percutaneous coronary intervention.
Methods: A retrospective review was conducted on cases of robotic MIDCAB performed at our institution between 2012 and 2022. Two groups of patients were analyzed: the surgery group (undergoing robotic multivessel MIDCAB) and the hybrid group.
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