In:
Frontiers in Oncology, Frontiers Media SA, Vol. 11 ( 2021-10-22)
Abstract:
Brain invasion in meningioma has independent associations with increased risks of tumor progression, lesion recurrence, and poor prognosis. Therefore, this study aimed to construct a model for predicting brain invasion in WHO grade II meningioma by using preoperative MRI. Methods One hundred seventy-three patients with brain invasion and 111 patients without brain invasion were included. Three mainstream features, namely, traditional semantic features and radiomics features from tumor and tumor-to-brain interface regions, were acquired. Predictive models correspondingly constructed on each feature set or joint feature set were constructed. Results Traditional semantic findings, e.g., peritumoral edema and other four features, had comparable performance in predicting brain invasion with each radiomics feature set. By taking advantage of semantic features and radiomics features from tumoral and tumor-to-brain interface regions, an integrated nomogram that quantifies the risk factor of each selected feature was constructed and had the best performance in predicting brain invasion (area under the curve values were 0.905 in the training set and 0.895 in the test set). Conclusions This study provided a clinically available and promising approach to predict brain invasion in WHO grade II meningiomas by using preoperative MRI.
Type of Medium:
Online Resource
ISSN:
2234-943X
DOI:
10.3389/fonc.2021.752158
DOI:
10.3389/fonc.2021.752158.s001
DOI:
10.3389/fonc.2021.752158.s002
DOI:
10.3389/fonc.2021.752158.s003
DOI:
10.3389/fonc.2021.752158.s004
DOI:
10.3389/fonc.2021.752158.s005
DOI:
10.3389/fonc.2021.752158.s006
Language:
Unknown
Publisher:
Frontiers Media SA
Publication Date:
2021
detail.hit.zdb_id:
2649216-7
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