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Simulated outcomes for durotomy repair in minimally invasive spine surgery.
Balu, Alan; Kugener, Guillaume; Pangal, Dhiraj J; Lee, Heewon; Lasky, Sasha; Han, Jane; Buchanan, Ian; Liu, John; Zada, Gabriel; Donoho, Daniel A.
Afiliación
  • Balu A; Department of Neurosurgery, Georgetown University School of Medicine, 3900 Reservoir Rd NW, Washington, D.C., 20007, USA. agb76@georgetown.edu.
  • Kugener G; Department of Neurological Surgery, Keck School of Medicine of University of Southern California, 1200 North State St., Suite 3300, Los Angeles, CA, 90033, USA.
  • Pangal DJ; Department of Neurological Surgery, Keck School of Medicine of University of Southern California, 1200 North State St., Suite 3300, Los Angeles, CA, 90033, USA.
  • Lee H; University of Southern California, 3709 Trousdale Pkwy., Los Angeles, CA, 90089, USA.
  • Lasky S; University of Southern California, 3709 Trousdale Pkwy., Los Angeles, CA, 90089, USA.
  • Han J; University of Southern California, 3709 Trousdale Pkwy., Los Angeles, CA, 90089, USA.
  • Buchanan I; Department of Neurological Surgery, Keck School of Medicine of University of Southern California, 1200 North State St., Suite 3300, Los Angeles, CA, 90033, USA.
  • Liu J; Department of Neurological Surgery, Keck School of Medicine of University of Southern California, 1200 North State St., Suite 3300, Los Angeles, CA, 90033, USA.
  • Zada G; Department of Neurological Surgery, Keck School of Medicine of University of Southern California, 1200 North State St., Suite 3300, Los Angeles, CA, 90033, USA.
  • Donoho DA; Department of Neurosurgery, Children's National Hospital, 111 Michigan Avenue NW, Washington, DC, 20010, USA.
Sci Data ; 11(1): 62, 2024 Jan 10.
Article en En | MEDLINE | ID: mdl-38200013
ABSTRACT
Minimally invasive spine surgery (MISS) is increasingly performed using endoscopic and microscopic visualization, and the captured video can be used for surgical education and development of predictive artificial intelligence (AI) models. Video datasets depicting adverse event management are also valuable, as predictive models not exposed to adverse events may exhibit poor performance when these occur. Given that no dedicated spine surgery video datasets for AI model development are publicly available, we introduce Simulated Outcomes for Durotomy Repair in Minimally Invasive Spine Surgery (SOSpine). A validated MISS cadaveric dural repair simulator was used to educate neurosurgery residents, and surgical microscope video recordings were paired with outcome data. Objects including durotomy, needle, grasper, needle driver, and nerve hook were then annotated. Altogether, SOSpine contains 15,698 frames with 53,238 annotations and associated durotomy repair outcomes. For validation, an AI model was fine-tuned on SOSpine video and detected surgical instruments with a mean average precision of 0.77. In summary, SOSpine depicts spine surgeons managing a common complication, providing opportunities to develop surgical AI models.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Modelos Anatómicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Modelos Anatómicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido