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http://dx.doi.org/10.1007/s13402-022-00728-y | DOI Listing |
Cureus
August 2025
Department of Thoracic Surgery, Attikon General Hospital, National and Kapodistrian University of Athens, Athens, GRC.
Left-sided partial anomalous pulmonary venous return (PAPVR) may remain clinically silent and undiagnosed until incidentally identified, potentially introducing complexity in perioperative assessment and management, particularly in patients with significant comorbidities. We report the case of a 77-year-old male with metastatic colorectal adenocarcinoma and a history of multiple right-sided pulmonary metastasectomies. He underwent a right completion upper bilobectomy.
View Article and Find Full Text PDFAnn Surg Oncol
September 2025
Department of Surgery, Tokushima University, Tokushima, Japan.
Background: Although magnification is an advantage of robotic liver resection (RLR) as it enables precise surgery, the direction of parenchymal dissection, the vascular anatomy, and the tumor location can sometimes be lost. Extended reality (XR) has advantages over other navigation systems in terms of spatial awareness, sharing, and simplicity, and it also has the potential to overcome some of the limitations of RLR. METHODS: In this video, we demonstrate innovative RLR with XR by three separate surgeons.
View Article and Find Full Text PDFEur Rev Med Pharmacol Sci
August 2025
Department of Biomaterials and Tissue Engineering, Institute of Science, Harran University, Şanlıurfa, Turkey.
Correction to: Eur Rev Med Pharmacol Sci 2023; 27 (4): 1474-1479-DOI: 10.26355/eurrev_202302_31387-PMID: 36876687 published online on 1 March 2023. This erratum serves to include the ethics approval date and approval number, which were unintentionally omitted from the originally published online version of the article.
View Article and Find Full Text PDFWorld J Gastroenterol
August 2025
Department of General Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
[This corrects the article on p. 1697 in vol. 25, PMID: 31011255.
View Article and Find Full Text PDFEndoscopy
September 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
BACKGROUND Accurate polyp size estimation during colonoscopy is crucial for clinical decision-making, follow-up, and cost-saving strategies. Objective sizing methods are lacking, and interobserver variability is high. This prospective, multicenter, study evaluated the accuracy of a novel artificial intelligence (AI) algorithm for polyp size estimation.
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