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Creating a Comprehensive Research Platform for Surgical Technique and Operative Outcome in Primary Brain Tumor Neurosurgery.
Winkler-Schwartz, Alexander; Yilmaz, Recai; Tran, Dan Huy; Gueziri, Houssem-Eddine; Ying, Binbin; Tuznik, Marius; Fonov, Vladimir; Collins, Louis; Rudko, David A; Li, Jianyu; Debergue, Patricia; Pazos, Valerie; Del Maestro, Rolando.
Afiliação
  • Winkler-Schwartz A; Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec, Canada. Electronic address: manuscriptinquiry@gmail.com.
  • Yilmaz R; Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec, Canada.
  • Tran DH; Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec, Canada.
  • Gueziri HE; Neuro Imaging and Surgical Technologies Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
  • Ying B; Department of Mechanical Engineering, McGill University, Montreal, Quebec, Canada.
  • Tuznik M; Department of Neurology/Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
  • Fonov V; Neuro Imaging and Surgical Technologies Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
  • Collins L; Neuro Imaging and Surgical Technologies Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
  • Rudko DA; Department of Neurology/Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Quantitative Microstructure Imaging Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Ca
  • Li J; Department of Mechanical Engineering, McGill University, Montreal, Quebec, Canada.
  • Debergue P; National Research Council of Canada, Boucherville, Quebec, Canada.
  • Pazos V; National Research Council of Canada, Boucherville, Quebec, Canada.
  • Del Maestro R; Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Montreal, Quebec, Canada.
World Neurosurg ; 144: e62-e71, 2020 12.
Article em En | MEDLINE | ID: mdl-32758649
ABSTRACT

BACKGROUND:

The operative environment poses many challenges to studying the relationship between surgical acts and patient outcomes in intracranial oncological neurosurgery. We sought to develop a framework in which neurosurgical performance and extent of resection could be precisely quantified in a controlled setting.

METHODS:

The stiffness of an alginate hydrogel-based tumor was modified with differing concentrations of the cross-linking agent calcium sulfate until biomechanical properties similar to those of human primary brain tumors measured at resection were achieved. The artificial tumor was subsequently incorporated into an ex-vivo animal brain as a final model. Magnetic resonance imaging enhancement and ultraviolet fluorescence was achieved by incorporating gadolinium and fluorescein solution, respectively. Video recordings from the operative microscope, ceiling cameras, and instrument-mounted fiducial markers within a surgical suite environment captured operative performance.

RESULTS:

A total of 24 rheometer measurements were conducted on alginate hydrogels containing 10-, 11-, and 12-mM concentrations of calcium sulfate. Sixty-eight stiffness measurements were conducted on eight patient tumor samples. No differences were found between the alginate and brain tumor stiffness values [Kruskal-Wallis χ2(4) = 9.187; P = 0.057]. Tumor was identified using ultraviolet fluorescence and ultrasonography. The volume and location of the resected white and gray matter and residual tumor could be quantified in 0.003-mm3 increments using a 7T magnetic resonance imaging coil. Ultrasonic aspirator and bipolar electrocautery movement data were successfully transformed into performance metrics.

CONCLUSION:

The developed framework can offer clinicians, learners, and researchers the ability to perform operative rehearsal, teaching, and studies involving brain tumor surgery in a controlled laboratory environment and represents a crucial step in the understanding and training of expertise in neurosurgery.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Neoplasias Encefálicas / Procedimentos Neurocirúrgicos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: World Neurosurg Assunto da revista: NEUROCIRURGIA Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Neoplasias Encefálicas / Procedimentos Neurocirúrgicos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: World Neurosurg Assunto da revista: NEUROCIRURGIA Ano de publicação: 2020 Tipo de documento: Article