M. Efanov

Papers

Total Citations

H-Index

About

M. Efanov is a surgical hepatologist advancing minimally invasive approaches to liver surgery, with a focus on robot-assisted and laparoscopic techniques. His research centers on optimizing perioperative outcomes for complex hepatic procedures, particularly for colorectal cancer liver metastases. In a landmark 2018 study, Efanov analyzed 46 robot-assisted liver resections using CUSUM-test methodology, demonstrating a clear learning curve and stabilization of results after 12 cases—a critical contribution to defining proficiency benchmarks in robotic hepatobiliary surgery. His work on minimally invasive liver resection (MILR) versus open surgery for colorectal metastases, also from 2018, provides essential single-center evidence on safety and short-term outcomes, addressing a key gap in the literature from a Russian surgical hepatology center. While his citation counts (5 and 4, respectively) reflect an emerging career, these studies are foundational for surgeons adopting robotic platforms and for comparative effectiveness research in hepatic oncology. Efanov’s contributions are particularly notable for their rigorous application of statistical process control to surgical learning, offering a replicable framework for other centers implementing robotic liver programs.