Multicentre analysis of the learning curve for laparoscopic liver resection of the posterosuperior segments.


Journal

The British journal of surgery
ISSN: 1365-2168
Titre abrégé: Br J Surg
Pays: England
ID NLM: 0372553

Informations de publication

Date de publication:
10 2019
Historique:
received: 09 03 2019
revised: 12 04 2019
accepted: 27 05 2019
pubmed: 24 8 2019
medline: 25 2 2020
entrez: 24 8 2019
Statut: ppublish

Résumé

Laparoscopic liver resection demands expertise and a long learning curve. Resection of the posterosuperior segments is challenging, and there are no data on the learning curve. The aim of this study was to evaluate the learning curve for laparoscopic resection of the posterosuperior segments. A cumulative sum (CUSUM) analysis of the difficulty score for resection was undertaken using patient data from four specialized centres. Risk-adjusted CUSUM analysis of duration of operation, blood loss and conversions was performed, adjusting for the difficulty score of the procedures. A receiver operating characteristic (ROC) curve was used to identify the completion of the learning curve. According to the CUSUM analysis of 464 patients, the learning curve showed an initial decrease in the difficulty score followed by an increase and, finally, stabilization. More patients with cirrhosis or previous surgery were operated in the latest phase of the learning curve. A smaller number of wedge resections and a larger number of anatomical resections were performed progressively. Dissection using a Cavitron ultrasonic surgical aspirator and the Pringle manoeuvre were used more frequently with time. Risk-adjusted CUSUM analysis showed a progressive decrease in operating time. Blood loss initially increased slightly, then stabilized and finally decreased over time. A similar trend was found for conversions. The learning curve was estimated to be 40 procedures for wedge and 65 for anatomical resections. The learning curve for laparoscopic liver resection of the posterosuperior segments consists of a stepwise process, during which accurate patient selection is key. La resección hepática laparoscópica exige experiencia y una larga curva de aprendizaje. La resección de los segmentos posterosuperiores (PS) es un reto, y no hay datos acerca de la curva de aprendizaje (learning curve, LC). El objetivo de este estudio fue evaluar la LC de la resección laparoscópica de los segmentos PS. MÉTODOS: Se realizó un análisis CUSUM de la puntuación de dificultad (difficulty score, DS) de la resección en pacientes de 4 centros especializados. La técnica CUSUM se ajustó al riesgo (risk-adjusted CUSUM, RA-CUSUM) para el tiempo operatorio, la pérdida de sangre y las conversiones a cirugía abierta ajustando según la DS de los procedimientos. Se utilizó una curva ROC para identificar el momento en el que se consideró que la LC había sido completada. De acuerdo con el análisis CUSUM de los 464 pacientes incluidos, se observó una DS baja al inicio, que posteriormente se fue incrementando hasta llegar a una estabilización. En la última fase de la LC se operaron más pacientes con cirrosis o cirugía previa. De forma progresiva se fueron reduciendo el número de resecciones hepáticas en cuña y aumentando el de resecciones anatómicas. A lo largo del tiempo se introdujo el CUSA y la maniobra de Pringle con mayor frecuencia. El RA-CUSUM mostró una reducción progresiva del tiempo operatorio. La pérdida de sangre inicialmente aumentó ligeramente, luego se estabilizó y finalmente disminuyó con el tiempo. Una tendencia similar se observó para las conversiones. La LC se estimó en 40 casos para las resecciones en cuña y en 65 casos para las resecciones anatómicas. CONCLUSIÓN: La LC de la resección hepática laparoscópica de los segmentos PS es un proceso paso a paso durante el cual la selección del paciente es clave.

Sections du résumé

BACKGROUND
Laparoscopic liver resection demands expertise and a long learning curve. Resection of the posterosuperior segments is challenging, and there are no data on the learning curve. The aim of this study was to evaluate the learning curve for laparoscopic resection of the posterosuperior segments.
METHODS
A cumulative sum (CUSUM) analysis of the difficulty score for resection was undertaken using patient data from four specialized centres. Risk-adjusted CUSUM analysis of duration of operation, blood loss and conversions was performed, adjusting for the difficulty score of the procedures. A receiver operating characteristic (ROC) curve was used to identify the completion of the learning curve.
RESULTS
According to the CUSUM analysis of 464 patients, the learning curve showed an initial decrease in the difficulty score followed by an increase and, finally, stabilization. More patients with cirrhosis or previous surgery were operated in the latest phase of the learning curve. A smaller number of wedge resections and a larger number of anatomical resections were performed progressively. Dissection using a Cavitron ultrasonic surgical aspirator and the Pringle manoeuvre were used more frequently with time. Risk-adjusted CUSUM analysis showed a progressive decrease in operating time. Blood loss initially increased slightly, then stabilized and finally decreased over time. A similar trend was found for conversions. The learning curve was estimated to be 40 procedures for wedge and 65 for anatomical resections.
CONCLUSION
The learning curve for laparoscopic liver resection of the posterosuperior segments consists of a stepwise process, during which accurate patient selection is key.
ANTECEDENTES
La resección hepática laparoscópica exige experiencia y una larga curva de aprendizaje. La resección de los segmentos posterosuperiores (PS) es un reto, y no hay datos acerca de la curva de aprendizaje (learning curve, LC). El objetivo de este estudio fue evaluar la LC de la resección laparoscópica de los segmentos PS. MÉTODOS: Se realizó un análisis CUSUM de la puntuación de dificultad (difficulty score, DS) de la resección en pacientes de 4 centros especializados. La técnica CUSUM se ajustó al riesgo (risk-adjusted CUSUM, RA-CUSUM) para el tiempo operatorio, la pérdida de sangre y las conversiones a cirugía abierta ajustando según la DS de los procedimientos. Se utilizó una curva ROC para identificar el momento en el que se consideró que la LC había sido completada.
RESULTADOS
De acuerdo con el análisis CUSUM de los 464 pacientes incluidos, se observó una DS baja al inicio, que posteriormente se fue incrementando hasta llegar a una estabilización. En la última fase de la LC se operaron más pacientes con cirrosis o cirugía previa. De forma progresiva se fueron reduciendo el número de resecciones hepáticas en cuña y aumentando el de resecciones anatómicas. A lo largo del tiempo se introdujo el CUSA y la maniobra de Pringle con mayor frecuencia. El RA-CUSUM mostró una reducción progresiva del tiempo operatorio. La pérdida de sangre inicialmente aumentó ligeramente, luego se estabilizó y finalmente disminuyó con el tiempo. Una tendencia similar se observó para las conversiones. La LC se estimó en 40 casos para las resecciones en cuña y en 65 casos para las resecciones anatómicas. CONCLUSIÓN: La LC de la resección hepática laparoscópica de los segmentos PS es un proceso paso a paso durante el cual la selección del paciente es clave.

Autres résumés

Type: Publisher (spa)
La resección hepática laparoscópica exige experiencia y una larga curva de aprendizaje. La resección de los segmentos posterosuperiores (PS) es un reto, y no hay datos acerca de la curva de aprendizaje (learning curve, LC). El objetivo de este estudio fue evaluar la LC de la resección laparoscópica de los segmentos PS. MÉTODOS: Se realizó un análisis CUSUM de la puntuación de dificultad (difficulty score, DS) de la resección en pacientes de 4 centros especializados. La técnica CUSUM se ajustó al riesgo (risk-adjusted CUSUM, RA-CUSUM) para el tiempo operatorio, la pérdida de sangre y las conversiones a cirugía abierta ajustando según la DS de los procedimientos. Se utilizó una curva ROC para identificar el momento en el que se consideró que la LC había sido completada.

Identifiants

pubmed: 31441944
doi: 10.1002/bjs.11286
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1512-1522

Informations de copyright

© 2019 BJS Society Ltd Published by John Wiley & Sons Ltd.

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Auteurs

G Berardi (G)

Department of Human Structure and Repair, Faculty of Medicine, Ghent University, Belgium.

D Aghayan (D)

Intervention Centre, Oslo University Hospital - Rikshospitalet, Oslo, Norway.

Å A Fretland (ÅA)

Intervention Centre, Oslo University Hospital - Rikshospitalet, Oslo, Norway.
Department of Hepatopancreatobiliary Surgery, Oslo University Hospital - Rikshospitalet, Oslo, Norway.

H Elberm (H)

Hepatobiliary and Pancreatic Surgical Unit, University Hospital Southampton NHS Foundation Trust, Southampton, UK.

F Cipriani (F)

Hepatobiliary Surgery, Department of Surgery, San Raffaele Hospital Milan, Milan, Italy.

A Spagnoli (A)

Department of Statistical Sciences, Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.

R Montalti (R)

Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy.

W P Ceelen (WP)

Department of Human Structure and Repair, Faculty of Medicine, Ghent University, Belgium.

L Aldrighetti (L)

Hepatobiliary Surgery, Department of Surgery, San Raffaele Hospital Milan, Milan, Italy.

M Abu Hilal (M)

Hepatobiliary and Pancreatic Surgical Unit, University Hospital Southampton NHS Foundation Trust, Southampton, UK.

B Edwin (B)

Intervention Centre, Oslo University Hospital - Rikshospitalet, Oslo, Norway.
Department of Hepatopancreatobiliary Surgery, Oslo University Hospital - Rikshospitalet, Oslo, Norway.
Institute of Clinical Medicine, Medical Faculty, University of Oslo, Oslo, Norway.

R I Troisi (RI)

Department of Human Structure and Repair, Faculty of Medicine, Ghent University, Belgium.
Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy.

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