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Intraoperative Strain Elastosonography in Brain Tumor Surgery.
Prada, Francesco; Del Bene, Massimiliano; Rampini, Angela; Mattei, Luca; Casali, Cecilia; Vetrano, Ignazio Gaspare; Gennari, Antonio Giulio; Sdao, Silvana; Saini, Marco; Sconfienza, Luca Maria; DiMeco, Francesco.
  • Prada F; Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Del Bene M; Department of Neurological Surgery, University of Virginia Health Science Center, Charlottesville, Virginia.
  • Rampini A; Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Mattei L; Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
  • Casali C; Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Vetrano IG; Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Gennari AG; Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Sdao S; Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Saini M; Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy.
  • Sconfienza LM; IRCCS Istituto Nazionale dei Tumori Foundation, Milan, Italy.
  • DiMeco F; Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Oper Neurosurg (Hagerstown) ; 17(2): 227-236, 2019 08 01.
Article en En | MEDLINE | ID: mdl-30496587
ABSTRACT

BACKGROUND:

Sonoelastography is an ultrasound imaging technique able to assess mechanical properties of tissues. Strain elastography (SE) is a qualitative sonoelastographic modality with a wide range of clinical applications, but its use in brain tumor surgery has been so far very limited.

OBJECTIVE:

To describe the first large-scale implementation of SE in oncological neurosurgery for lesions discrimination and characterization.

METHODS:

We analyzed retrospective data from 64 patients aiming at (i) evaluating the stiffness of the lesion and of the surrounding brain, (ii) assessing the correspondence between B-mode and SE, and (iii) performing subgroup analysis for gliomas characterization.

RESULTS:

(i) In all cases, we visualized the lesion and the surrounding brain with SE, permitting a qualitative stiffness assessment. (ii) In 90% of cases, lesion representations in B-mode and SE were superimposable with identical morphology and margins. In 64% of cases, lesion margins were sharper in SE than in B-mode. (iii) In 76% of cases, glioma margins were sharper in SE than in B-mode. Lesions morphology/dimensions in SE and in B-mode were superimposable in 89%. Low-grade (LGG) and high-grade (HGG) gliomas were significantly different in terms of stiffness and stiffness contrast between tumors and brain, LGG appearing stiffer while HGG softer than brain (all P < ·001). A threshold of 2.5 SE score had 85.7% sensitivity and 94.7% specificity in differentiating LGG from HGG.

CONCLUSION:

SE allows to understand mechanical properties of the brain and lesions in examination and permits a better discrimination between different tissues compared to B-mode. Additionally, SE can differentiate between LGG and HGG.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Ultrasonografía / Procedimientos Neuroquirúrgicos / Glioma Tipo de estudio: Diagnostic_studies / Qualitative_research Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Ultrasonografía / Procedimientos Neuroquirúrgicos / Glioma Tipo de estudio: Diagnostic_studies / Qualitative_research Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article