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BMC Oral Health
Published in: BMC Oral Health 1/2021

Open Access 01-12-2021 | Magnetic Resonance Imaging | Research

Prediction of the degree of pathological differentiation in tongue squamous cell carcinoma based on radiomics analysis of magnetic resonance images

Authors: Baoting Yu, Chencui Huang, Jingxu Xu, Shuo Liu, Yuyao Guan, Tong Li, Xuewei Zheng, Jun Ding

Published in: BMC Oral Health | Issue 1/2021

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Abstract

Background

Tongue squamous cell carcinoma (TSCC) is one of the most difficult malignancies to control. It displays particular and aggressive behaviour even at an early stage. The purpose of this paper is to explore the value of radiomics based on magnetic resonance fat-suppressed T2-weighted images in predicting the degree of pathological differentiation of TSCC.

Methods

Retrospective analysis of 127 patients with TSCC who were randomly divided into a primary cohort and a test cohort, including well-differentiated, moderately differentiated and poorly differentiated. The tumour regions were manually labelled in fat-suppressed T2-weighted imaging (FS-T2WI), and PyRadiomics was used to extract radiomics features. The radiomics features were then selected by the least absolute shrinkage and selection operator (LASSO) method. The model was established by the logistic regression classifier using a 5-fold cross-validation method, applied to all data and evaluated using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity and specificity.

Results

In total, 1132 features were extracted, and seven features were selected for modelling. The AUC in the logistic regression model for well-differentiated TSCC was 0.90 with specificity and precision values of 0.92 and 0.78, respectively, and the sensitivity for poorly differentiated TSCC was 0.74.

Conclusions

The MRI-based radiomics signature could discriminate between well-differentiated, moderately differentiated and poorly differentiated TSCC and might be used as a biomarker for preoperative grading.
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Metadata
Title
Prediction of the degree of pathological differentiation in tongue squamous cell carcinoma based on radiomics analysis of magnetic resonance images
Authors
Baoting Yu
Chencui Huang
Jingxu Xu
Shuo Liu
Yuyao Guan
Tong Li
Xuewei Zheng
Jun Ding
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Oral Health / Issue 1/2021
Electronic ISSN: 1472-6831
DOI
https://doi.org/10.1186/s12903-021-01947-9

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