Annals of surgery
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Review Meta Analysis
Revolutionizing Organ Transplantation with Robotic Surgery.
The aim of this study was to evaluate the impact of robotic techniques on organ transplantation outcomes. ⋯ This comprehensive overview including a systematic review, original data, and perceptions derived from the international survey demonstrate the superiority of robotic transplant surgery (RTS) across a range of organ transplantations, for both donors and recipients. The future of RTS depends on the efforts of the surgical community in addressing challenges such as economic implications, the need for specialized surgical training for numerous surgeons, as well as wide access to robotic systems worldwide.
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Multicenter Study
Multinational Analysis of Marginal Liver Grafts Based on the Eurotransplant Extended Donor Criteria.
To evaluate the outcome of marginal liver grafts based on the Eurotransplant extended criteria donor (ECD) criteria. ⋯ The outcome of transplanted grafts from higher risk donors was nearly equal to standard donors with Eurotransplant criteria failing to predict survival of marginal grafts. Modifying ECD criteria could improve graft allocation and potentially expand the donor pool.
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To evaluate outcomes after primary surgery (PS) or neoadjuvant treatment followed by surgery (NAT/S) in cT2 staged adenocarcinomas of the esophagus (EAC) and gastroesophageal junction (GEJ), a multinational high-volume center study was undertaken. ⋯ Due to the unreliable identification of cT2N0 disease, all patients should be offered a multimodal therapeutic approach.
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To provide a nationwide description of postoperative outcomes and analysis of prognostic factors following adrenalectomy for metastases. ⋯ The number of patients who can receive local treatment for adrenal metastases is rising, and adrenalectomy is more often minimally invasive and has a low morbidity rate. Subsequent research should evaluate which patients would benefit from adrenal surgery.
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Multicenter Study
Artificial Intelligence to Predict the Risk of Lymph Node Metastasis in T2 Colorectal Cancer.
To develop and externally validate an updated artificial intelligence (AI) prediction system for stratifying the risk of lymph node metastasis (LNM) in T2 colorectal cancer (CRC). ⋯ Our AI model, based on easily accessible clinical and pathologic variables, moderately predicts LNM in T2 CRC. However, the risk of false negative needs to be considered. The training of the model including more patients across western and eastern centers - differentiating between colon and rectal cancers - may improve its performance and accuracy.