The Learning Curve in Skull Base Surgery Part 1–From Historical-Philosophical Concepts to Microsurgical Lab Training

Abstract

The learning curve reflects surgeons' experience in managing several patients with the same disease. In skull base surgery, the professional's place on the curve could be related to the number of times the same procedure was performed. Where does curve begin? What amount of training is necessary prior to its application in surgical settings? What were the results of the first few skull base tumor surgeries performed by a surgeon who goes on to produce excellent results, and how is reflected in the start of their learning curve? The only way for neurosurgeons to improve their results from the start is with prior training in the microsurgery laboratory. This learning technique is essential to maximize the chance of success of a neurosurgical procedures, minimizing the morbidity rate to which patients are subjected by less experienced neurosurgeons. This article is divided in two parts, and its purpose is to show how training in the microsurgical laboratory fits into the construction of knowledge about skull base surgery, based on authors' experience and reflections. This first part discusses the technical, psychological, and philosophical aspects of medical knowledge, primarily addressing those training in skull base surgery, the principles of some selected philosophical currents, and their influence on the development of current medical knowledge.

Keywords

skull-base - learning curve - microsurgical laboratory

Note

Some small parts of this article were published previously in Portuguese by the senior author, * but with a different focus on the learning curve. Following the Brazilian Association for Technical Standards (ABNT) and copyright rules (lei número 9.610), these parts are identified by quotation marks.

*Isolan GR: A construção do conhecimento pelo jovem neurocirurgião: ética, ciência e a importância do treinamento em laboratório de microcirurgia. J Bras Neurocirurg 20 (3): 314–334, 2009.

This paper, divided in two parts, is a tribute to Professor Evandro de Oliveira, MD, PhD. (1945 - 2021)

Publikationsverlauf

Eingereicht: 29. Juli 2022

Angenommen: 18. August 2022

Artikel online veröffentlicht:
16. Dezember 2022

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