In:
Current Medical Imaging Formerly Current Medical Imaging Reviews, Bentham Science Publishers Ltd., Vol. 17, No. 3 ( 2021-04-22), p. 374-383
Abstract:
Both CT and PET radiomics is considered as a potential prognostic biomarker
in head and neck cancer. This study investigates the value of fused pre-treatment functional imaging (18F-FDG PET/CT) radiomics for modeling of local recurrence of head and neck cancers. Material and Methods: Firstly, 298 patients have been divided into a training set (n = 192) and
verification set (n = 106). Seco ndly, PETs and CTs are fused based on wavelet transform. Thirdly,
radiomics features are extracted from the 3D tumor area from PETCT fusion. The training set is used to select the features reduction and predict local recurrence, and the random forest prediction
models combining radiomics and clinical variables are constructed. Finally, the ROC curve and KM analysis are used to evaluate the prediction efficiency of the model on the validation set. Results: Two PET/CT fusion radiomics features and three clinic parameters are extracted to construct
the radiomics model. AUC value in the verification set 0.70 is better than no fused sets 0.69. The accuracy of 0.66 is not the highest value (0.67). Either consistency index CI 0.70 (from 0.67 to
0.70) or the p-value 0.025 (from 0.03 to 0.025) get the best result in all four models. Conclusion: The radiomics model based on the fusion of PETCT is better than the model based on
PET or CT alone in predicting local recurrence, the inclusion of clinical parameters may result in more accurate predictions, which has certain guiding significance for the development of personalized,
precise treatment scheme.
Type of Medium:
Online Resource
ISSN:
1573-4056
DOI:
10.2174/1573405616666200712181135
Language:
English
Publisher:
Bentham Science Publishers Ltd.
Publication Date:
2021
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