Papers
5
Total Citations
84
H-Index
3
About
Matthew L. Holzner is a surgical researcher specializing in minimally invasive and robotic hepatic surgery, with a focused body of work dedicated to advancing the safety, efficiency, and accessibility of liver resection techniques. His research has made significant contributions to the evolving field of robotic hepatectomy, demonstrating that robotic approaches can serve as viable and cost-effective alternatives to traditional open surgery — findings that have garnered over 80 citations across his most impactful publications. Holzner's most celebrated work explores the clinical and economic outcomes of robotic hepatectomy at the institutional level, providing early single-center data that helped validate the technique's broader adoption. Particularly noteworthy is his technical innovation combining extrahepatic inflow control with laparoscopic CUSA (Cavitron Ultrasonic Surgical Aspirator) parenchymal transection during robotic procedures — a hybrid approach designed to enhance intraoperative safety during complex liver operations. His research also addresses the critical question of surgical learning curves for medium and high complexity robotic hepatectomies, offering practical guidance for training programs and institutions seeking to implement these advanced techniques. Through rigorous outcome analysis and technical refinement, Holzner has meaningfully shaped contemporary standards in hepatobiliary surgery.
Research Focus
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