Your browser doesn't support javascript.
loading
Clinical application of the "sellar barrier's concept" for predicting intraoperative CSF leak in endoscopic endonasal surgery for pituitary adenomas with a machine learning analysis.
Villalonga, J F; Solari, D; Cuocolo, R; De Lucia, V; Ugga, L; Gragnaniello, C; Pailler, J I; Cervio, A; Campero, A; Cavallo, L M; Cappabianca, P.
Affiliation
  • Villalonga JF; Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Universita' degli Studi di Napoli Federico II, Naples, Italy.
  • Solari D; LINT, Facultad de Medicina, Universidad Nacional de Tucumán, Tucumán, Argentina.
  • Cuocolo R; Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Universita' degli Studi di Napoli Federico II, Naples, Italy.
  • De Lucia V; Department of Advanced Biomedical Sciences, Universita' degli Studi di Napoli Federico II, Naples, Italy.
  • Ugga L; Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Universita' degli Studi di Napoli Federico II, Naples, Italy.
  • Gragnaniello C; Department of Advanced Biomedical Sciences, Universita' degli Studi di Napoli Federico II, Naples, Italy.
  • Pailler JI; Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Universita' degli Studi di Napoli Federico II, Naples, Italy.
  • Cervio A; Department of Neurological Surgery, Swedish Neuroscience Institute, Seattle, WA, United States.
  • Campero A; LINT, Facultad de Medicina, Universidad Nacional de Tucumán, Tucumán, Argentina.
  • Cavallo LM; Departamento de Neurocirugía, FLENI, Buenos Aires, Argentina.
  • Cappabianca P; LINT, Facultad de Medicina, Universidad Nacional de Tucumán, Tucumán, Argentina.
Front Surg ; 9: 934721, 2022.
Article in En | MEDLINE | ID: mdl-36157423

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Front Surg Year: 2022 Document type: Article Affiliation country: Italia

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Front Surg Year: 2022 Document type: Article Affiliation country: Italia