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DOI 10.1016/j.neurad.2022.10.006

Медицинская библиотека · Journal of neuroradiology = Journal de neuroradiologie · 2022

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

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Аннотация

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.

Для цитирования: 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. Virtual magnetic resonance elastography predicts the intraoperative consistency of meningiomas.. Journal of neuroradiology = Journal de neuroradiologie. 2022. DOI: 10.1016/j.neurad.2022.10.006.

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