Your browser doesn't support javascript.
loading
Virtual magnetic resonance elastography predicts the intraoperative consistency of meningiomas.
Aunan-Diop, Jan Saip; Andersen, Mikkel Christian Schou; Friismose, Ancuta Ioana; Halle, Bo; Pedersen, Christian Bonde; Mussmann, Bo; Grønhøj, Mads Hjortdal; Nielsen, Troels Halfeld; Jensen, Ulla; Poulsen, Frantz Rom.
Afiliación
  • Aunan-Diop JS; Department of Neurosurgery, Odense University Hospital, Heden 12, Odense C 5000, Denmark. Electronic address: j.s.d@hotmail.no.
  • Andersen MCS; Department of Neurosurgery, Odense University Hospital, Heden 12, Odense C 5000, Denmark; Clinical Institute, University of Southern Denmark, BRIDGE (Brain Research - Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense C 5000, Denmark.
  • Friismose AI; Department of Radiology, Odense University Hospital, Odense C 5000, Denmark.
  • Halle B; Department of Neurosurgery, Odense University Hospital, Heden 12, Odense C 5000, Denmark; Clinical Institute, University of Southern Denmark, BRIDGE (Brain Research - Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense C 5000, Denmark.
  • Pedersen CB; Department of Neurosurgery, Odense University Hospital, Heden 12, Odense C 5000, Denmark; Clinical Institute, University of Southern Denmark, BRIDGE (Brain Research - Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense C 5000, Denmark.
  • Mussmann B; Department of Radiology, Odense University Hospital, Odense C 5000, Denmark.
  • Grønhøj MH; Department of Neurosurgery, Odense University Hospital, Heden 12, Odense C 5000, Denmark.
  • Nielsen TH; Department of Neurosurgery, Odense University Hospital, Heden 12, Odense C 5000, Denmark.
  • Jensen U; Department of Radiology, Odense University Hospital, Odense C 5000, Denmark.
  • Poulsen FR; Department of Neurosurgery, Odense University Hospital, Heden 12, Odense C 5000, Denmark; Clinical Institute, University of Southern Denmark, BRIDGE (Brain Research - Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense C 5000, Denmark.
J Neuroradiol ; 50(4): 396-401, 2023 Jun.
Article en En | MEDLINE | ID: mdl-36343849
BACKGROUND AND PURPOSE: Virtual magnetic resonance elastography (vMRE) is an experimental imaging modality designed to non-invasively predict the haptic properties of tissues. The modality is sensitive to tissue stiffness and fibrosis. Information about meningioma consistency prior to resection is of great interest in neurological surgery as the surgical plan and outcome may be affected by the tumor's stiffness. In this study, we assessed the ability of vMRE to predict the intraoperative consistency and mechanical heterogeneity of intracranial meningiomas. MATERIALS AND METHODS: We included 12 patients scheduled for meningioma resection, of which one patient was found to have a solitary fibrous tumor on histological examination. All participants underwent preoperative vMRE and intraoperative consistency grading. RESULTS AND CONCLUSIONS: Intraoperative qualitative consistency correlated positively with vMRE-based consistency assessment (odds ratio 5.63, 95% CI 1.12-28.30, p = 0.04) at b1000. Mechanically homogenous tumors had significantly lower ∆ mean stiffness than heterogeneous tumors (8.13 vs 18.07 kPa, p = 0.01). This study thus demonstrates a possible clinical application of vMRE in predicting the intraoperative consistency and mechanical heterogeneity of meningiomas.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diagnóstico por Imagen de Elasticidad / Neoplasias Meníngeas / Meningioma Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans Idioma: En Revista: J Neuroradiol Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diagnóstico por Imagen de Elasticidad / Neoplasias Meníngeas / Meningioma Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans Idioma: En Revista: J Neuroradiol Año: 2023 Tipo del documento: Article