Background: The anatomy laboratory can provide the ideal setting for the preclinical phase of neurosurgical research. Our purpose is to comprehensively and critically review the preclinical anatomical quantification methods used in cranial neurosurgery. Methods: A systematic review was conducted following the PRISMA guidelines. The PubMed, Ovid MEDLINE, and Ovid EMBASE databases were searched, yielding 1667 papers. A statistical analysis was performed using R. Results: The included studies were published from 1996 to 2023. The risk of bias assessment indicated high-quality studies. Target exposure was the most studied feature (81.7%), mainly with area quantification (64.9%). The surgical corridor was quantified in 60.9% of studies, more commonly with the quantification of the angle of view (60%). Neuronavigation-based methods benefit from quantifying the surgical pyramid features that define a cranial neurosurgical approach and allowing post-dissection data analyses. Direct measurements might diminish the error that is inherent to navigation methods and are useful to collect a small amount of data. Conclusion: Quantifying neurosurgical approaches in the anatomy laboratory provides an objective assessment of the surgical corridor and target exposure. There is currently limited comparability among quantitative neurosurgical anatomy studies; sharing common research methods will provide comparable data that might also be investigated with artificial intelligence methods.

Agosti, E., De Maria, L., Mattogno, P. P., Della Pepa, G. M., D'Onofrio, G. F., Fiorindi, A., Lauretti, L., Olivi, A., Fontanella, M. M., Doglietto, F., Quantitative Anatomical Studies in Neurosurgery: A Systematic and Critical Review of Research Methods, <<LIFE>>, 2023; 13 (9): 1-21. [doi:10.3390/life13091822] [https://hdl.handle.net/10807/267415]

Quantitative Anatomical Studies in Neurosurgery: A Systematic and Critical Review of Research Methods

Mattogno, Pier Paolo;Della Pepa, Giuseppe Maria;D'Onofrio, Ginevra Federica;Lauretti, Liverana;Olivi, Alessandro;Fontanella, Marco Maria;Doglietto, Francesco
2023

Abstract

Background: The anatomy laboratory can provide the ideal setting for the preclinical phase of neurosurgical research. Our purpose is to comprehensively and critically review the preclinical anatomical quantification methods used in cranial neurosurgery. Methods: A systematic review was conducted following the PRISMA guidelines. The PubMed, Ovid MEDLINE, and Ovid EMBASE databases were searched, yielding 1667 papers. A statistical analysis was performed using R. Results: The included studies were published from 1996 to 2023. The risk of bias assessment indicated high-quality studies. Target exposure was the most studied feature (81.7%), mainly with area quantification (64.9%). The surgical corridor was quantified in 60.9% of studies, more commonly with the quantification of the angle of view (60%). Neuronavigation-based methods benefit from quantifying the surgical pyramid features that define a cranial neurosurgical approach and allowing post-dissection data analyses. Direct measurements might diminish the error that is inherent to navigation methods and are useful to collect a small amount of data. Conclusion: Quantifying neurosurgical approaches in the anatomy laboratory provides an objective assessment of the surgical corridor and target exposure. There is currently limited comparability among quantitative neurosurgical anatomy studies; sharing common research methods will provide comparable data that might also be investigated with artificial intelligence methods.
2023
Inglese
Agosti, E., De Maria, L., Mattogno, P. P., Della Pepa, G. M., D'Onofrio, G. F., Fiorindi, A., Lauretti, L., Olivi, A., Fontanella, M. M., Doglietto, F., Quantitative Anatomical Studies in Neurosurgery: A Systematic and Critical Review of Research Methods, <<LIFE>>, 2023; 13 (9): 1-21. [doi:10.3390/life13091822] [https://hdl.handle.net/10807/267415]
File in questo prodotto:
File Dimensione Formato  
life-13-01822-v2.pdf

accesso aperto

Tipologia file ?: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 929.54 kB
Formato Adobe PDF
929.54 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/267415
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 2
social impact