Background. Postoperative failure is a major cause of adverse outcomes in extensive liver resection. Post-resection liver failure requires intensive, including extracorporeal, care. Issues in correcting liver failure warrant novel approaches to prevent severe cases.Materials and methods. A retrospective analysis of 228 various-extent liver resections included minor (55.7 %), major (26.8 %) and extended (17.5 %) operations for malignant, benign and parasitic liver lesions. The post-resection liver failure rate has ben graded according to ISGLS.Results and discussion. Postoperative hepatic failure developed in 58 (25.4 %) cases, including 5 of 127 minor (3.9 %) resections, 18 major (29.5 %) and 35 of 40 extended resections (87.5 %). Mild class A liver failures were reported in 12.3 %, and severe classes B and C — in 9.2 % and 3.9 % cases, respectively.CT volumetry in place of the number of resected segments is suggested as a criterion to grade the expected post-resection residual liver, with >70 % defining a minor, 36–70 % — major and 25–35 % — extended expected residual liver.A two-staged extended hepatic resection approach is proposed to reduce postoperative liver failure, with vascular radiology-guided right portal vein embolisation (RPVE) or associating liver partition and portal vein ligation (ALPPS) at stage 1.A comparison of extended hepatic resection outcomes (n = 40) showed a significantly higher rate and severity of liver failure in single- vs. two-staged operations (p < 0.05).Conclusion. Liver failure is a leading cause of death in major and extended hepatic resection. Preoperative CT volumetry allows a more accurate volumetric control of expected post-resection residual liver. Two-staged extended hepatic resection can reliably reduce the rate and severity of postoperative liver failure.
Aim. To describe the experience of using augmented reality system in abdominal surgery at one clinical center.Materials and methods. In 2021–2022, five patients underwent laparoscopy with augmented reality technology. The interventions included echinococcectomy with resection of IV, V, VI liver segments, pancreaticoduodenal resection for pancreatic head cancer, excision of mesostenium cyst, resection of pancreas body and tail for neuroendocrine tumor.Results. Application of 3D models requires putting on glasses, scaling and setting a model on the screen image, which sometimes prolonged surgery time to 25 minutes. In a number of operations the use of augmented reality navigated the surgeon when working near vascular structures. After looking through the AR model, a surgeon felt more confident in terms of individual anatomy.Conclusion. Augmented reality can become a reliable and promising tool in abdominal surgery. However, further technological development in augmented reality systems is needed to increase their performance.
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