Ultrasonography Monitoring with Superb Microvascular Imaging Technique in Brain Tumor Surgery

2017 ◽  
Vol 97 ◽  
pp. 749.e11-749.e20 ◽  
Author(s):  
Mami Ishikawa ◽  
Yasushi Ota ◽  
Mutsumi Nagai ◽  
Gen Kusaka ◽  
Yuichi Tanaka ◽  
...  
2018 ◽  
Vol 17 (2) ◽  
pp. 227-236 ◽  
Author(s):  
Francesco Prada ◽  
Massimiliano Del Bene ◽  
Angela Rampini ◽  
Luca Mattei ◽  
Cecilia Casali ◽  
...  

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.


2018 ◽  
Author(s):  
C.H.B. van Niftrik ◽  
F. van der Wouden ◽  
V. Staartjes ◽  
J. Fierstra ◽  
M. Stienen ◽  
...  

2019 ◽  
Author(s):  
Estela Val Jordan ◽  
Agustín Nebra Puertas ◽  
Juan Casado Pellejero ◽  
Maria Dolores Vicente Gordo ◽  
Concepción Revilla López ◽  
...  

Author(s):  
Gennadiy A. Katsevman ◽  
Walter Greenleaf ◽  
Ricardo García-García ◽  
Maria Victoria Perea ◽  
Valentina Ladera ◽  
...  

2020 ◽  
Vol 2 (Supplement_3) ◽  
pp. ii2-ii2
Author(s):  
Tatsuya Abe

Abstract It is reported that the development of new perioperative motor deficits was associated with decreased overall survival despite similar extent of resection and adjuvant therapy. The maximum safe resection without any neurological deficits is required to improve overall survival in patients with brain tumor. Surgery is performed with various modalities, such as neuro-monitoring, photodynamic diagnosis, neuro-navigation, awake craniotomy, intraoperative MRI, and so on. Above all, awake craniotomy technique is now the standard procedure to achieve the maximum safe resection in patients with brain tumor. It is well known that before any treatment, gliomas generate globally (and not only focally) altered functional connectomics profiles, with various patterns of neural reorganization allowing different levels of cognitive compensation. Therefore, perioperative cortical mapping and elucidation of functional network, neuroplasticity and reorganization are important for brain tumor surgery. On the other hand, recent studies have proposed several gene signatures as biomarkers for different grades of gliomas from various perspectives. Then, we aimed to identify these biomarkers in pre-operative and/or intra-operative periods, using liquid biopsy, immunostaining and various PCR methods including rapid genotyping assay. In this presentation, we would like to demonstrate our surgical strategy based on molecular and functional connectomics profiles.


2021 ◽  
Vol 201 ◽  
pp. 106420
Author(s):  
Mayla Santana Correia ◽  
Iuri Santana Neville ◽  
Cesar Cimonari de Almeida ◽  
Cintya Yukie Hayashi ◽  
Luana Talita Diniz Ferreira ◽  
...  

2010 ◽  
Vol 101 (1) ◽  
pp. 101-106 ◽  
Author(s):  
Iris Zachenhofer ◽  
Markus Donat ◽  
Stefan Oberndorfer ◽  
Karl Roessler

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