MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1097/sla.0000000000007123

Медицинская библиотека · Annals of surgery · 2026

Learning Curves and Complexity Evolution in Robotic Liver Surgery: An International Multicenter Study with Comparison to Global Benchmark Outcomes.

Kuemmerli Christoph, Hess Gabriel F, Billeter Adrian T, Guidetti Cristiano, di Benedetto Fabrizio, Odorizzi Roberta, Sucandy Iswanto, Aegerter Noa L E, Berchtold Caroline, Bernardi Lorenzo, Cristaudi Alessandra, Balzano Emanuele, Ghinolfi Davide, Koh Ye-Xin, Goh Brian, Lin Charles Chung-Wei, Fukumori Daisuke, Tschuor Christoph, Pandanaboyana Sanjay, White Steve, von Kroge Philipp, Heumann Asmus, De Meyere Celine, D'Hondt Mathieu, Haak Fabian, Seehofer Daniel, Stättner Stefan, Primavesi Florian, Morgül Haluk, Andreou Andreas, Ratti Francesca, Esquer Ignacio Sánchez, Robles-Campos Ricardo, Lopez-Lopez Victor, Wakabayashi Taiga, Wakabayashi Go, Nebbia Martina, Gilg Stefan, Birgin Emrullah, Rahbari Nuh N, Ferretti Stefano, Ettore Giuseppe Maria, Rahimli Mirhasan, Croner Roland, Dong Yawen, Starlinger Patrick P, Nickel Felix, Müller Beat P, Müller Philip C

СтатьяПеревод в очереди

Аннотация

OBJECTIVE

To evaluate the institutional learning curve of robotic liver resection (RLR), its association with surgical complexity and outcomes in an international multicenter cohort.

SUMMARY OF BACKGROUND DATA: RLR is increasingly adopted worldwide, but the dynamics of the learning process and its impact on surgical outcomes remain poorly defined.

METHODS

This international, multicenter, retrospective cohort study included consecutive patients who underwent RLR between 06/2013 and 12/2024 across 22 expert centers. Based on the first 150 cases at each center, three phases were used to define the learning curve: operative time for competency, major complications for proficiency, and textbook outcome for mastery. Risk-adjusted generalized additive models were used to assess the learning process. Benchmark performance was compared to international reference values.

RESULTS

Among 2,331 patients, the most common indications were hepatocellular carcinoma (36%), benign lesions (23%) and colorectal liver metastases (21%). Operative time decreased after achieving competency (case #62), from 240 to 220 minutes (P<0.001). Major morbidity reached a plateau during the proficiency phase (cases #63-138; 9% vs. 11%, P=0.144), while progression to mastery (cases #139-150) was associated with a higher rate of textbook outcome (76% vs. 87%, P=0.021). In contrast, conversion (5.1% vs. 4.9% vs. 2%), bile leak (4.0% vs. 5.3% vs. 3.8%), and 90-day mortality (0.7% vs. 0.9% vs. 0.9%) remained low and stable across all learning phases. Importantly, benchmark criteria for operative time, hospital stay, and textbook outcome were met across all complexity groups, including during the early learning phase.

CONCLUSIONS

Robotic liver surgery shows progressive outcome improvement with early achievement of benchmark-level results and stable performance across increasing complexity. These findings indicate that, in experienced centers, RLR can be safely implemented and integrated into clinical practice, supporting its key role in modern hepatobiliary surgery.

Для цитирования: Kuemmerli Christoph, Hess Gabriel F, Billeter Adrian T, Guidetti Cristiano, di Benedetto Fabrizio, Odorizzi Roberta, Sucandy Iswanto, Aegerter Noa L E, Berchtold Caroline, Bernardi Lorenzo, Cristaudi Alessandra, Balzano Emanuele, Ghinolfi Davide, Koh Ye-Xin, Goh Brian, Lin Charles Chung-Wei, Fukumori Daisuke, Tschuor Christoph, Pandanaboyana Sanjay, White Steve, von Kroge Philipp, Heumann Asmus, De Meyere Celine, D'Hondt Mathieu, Haak Fabian, Seehofer Daniel, Stättner Stefan, Primavesi Florian, Morgül Haluk, Andreou Andreas, Ratti Francesca, Esquer Ignacio Sánchez, Robles-Campos Ricardo, Lopez-Lopez Victor, Wakabayashi Taiga, Wakabayashi Go, Nebbia Martina, Gilg Stefan, Birgin Emrullah, Rahbari Nuh N, Ferretti Stefano, Ettore Giuseppe Maria, Rahimli Mirhasan, Croner Roland, Dong Yawen, Starlinger Patrick P, Nickel Felix, Müller Beat P, Müller Philip C. Learning Curves and Complexity Evolution in Robotic Liver Surgery: An International Multicenter Study with Comparison to Global Benchmark Outcomes.. Annals of surgery. 2026. DOI: 10.1097/sla.0000000000007123.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.