Highlights
- •In the SWE mode, the diagnostic threshold of HGG and LGG is 13.05 kPa.
- •In the SMI mode, the vascular architectures of the tumor tissue and peritumoral tissues of HGG and LGG were significantly different (P < 0.05).
- •SWE and SMI are beneficial for the differentiation of HGG and LGG and may help optimize clinical surgical procedures.
Abstract
Background
To explore the diagnostic value and feasibility of shear wave elastography and superb
microvascular imaging in the grading diagnosis of glioma intraoperatively.
Materials and methods
Forty-nine patients with glioma were included in this study. B-mode ultrasonography,
Young's modulus in shear-wave elastography (SWE) and vascular architecture in superb
microvascular imaging(SMI) of tumor tissue and peritumoral tissue were analyzed. Receiver
operating characteristic(ROC) curve analysis was used to evaluate the diagnostic effect
of SWE. Logistic regression model was used to calculate the prediction probability
of HGG diagnosis.
Results
Compared with LGG, HGG was often characterized by peritumoral edema in B mode (P < 0.05).
There was a significant difference in Young's modulus between HGG and LGG; the diagnostic
threshold of HGG and LGG was 13.05 kPa, the sensitivity was 78.3%, and the specificity
was 76.9%. The vascular architectures of the tumor tissue and peritumoral tissues
of HGG and LGG were significantly different (P < 0.05). The vascular architectures
of peritumoral tissue in HGG often characterized by distorted blood flow signals surrounding
the tumor (14/26,53.8%); in the tumor tissue, HGG often presents as dilated and bent
vessels(19/26,73.1%). The elasticity value of SWE and the tumor vascular architectures
of SMI were correlated with the diagnosis of HGG.
Conclusion
Intraoperative ultrasound (ioUS), especially SWE, and SMI are beneficial for the differentiation
of HGG and LGG and may help optimize clinical surgical procedures.
Keywords
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Article info
Publication history
Accepted:
February 20,
2023
Received:
December 19,
2022
Identification
Copyright
© 2023 Published by Elsevier Ltd.
