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Published in: European Radiology 5/2021

01-05-2021 | Lymphoma | Head and Neck

A CT-based radiomics nomogram for differentiation of lympho-associated benign and malignant lesions of the parotid gland

Authors: Ying-mei Zheng, Wen-jian Xu, Da-peng Hao, Xue-jun Liu, Chuan-ping Gao, Guo-zhang Tang, Jie Li, He-xiang Wang, Cheng Dong

Published in: European Radiology | Issue 5/2021

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Abstract

Objectives

Preoperative differentiation between benign lymphoepithelial lesion (BLEL) and mucosa-associated lymphoid tissue lymphoma (MALToma) in the parotid gland is important for treatment decisions. The purpose of this study was to develop and validate a CT-based radiomics nomogram combining radiomics signature and clinical factors for the preoperative differentiation of BLEL from MALToma in the parotid gland.

Methods

A total of 101 patients with BLEL (n = 46) or MALToma (n = 55) were divided into a training set (n = 70) and validation set (n = 31). Radiomics features were extracted from non-contrast CT images, a radiomics signature was constructed, and a radiomics score (Rad-score) was calculated. Demographics and CT findings were assessed to build a clinical factor model. A radiomics nomogram combining the Rad-score and independent clinical factors was constructed using multivariate logistic regression analysis. The performance levels of the nomogram, radiomics signature, and clinical model were evaluated and validated on the training and validation datasets, and then compared among the three models.

Results

Seven features were used to build the radiomics signature. The radiomics nomogram incorporating the clinical factors and radiomics signature showed favorable predictive value for differentiating parotid BLEL from MALToma, with AUCs of 0.983 and 0.950 for the training set and validation set, respectively. Decision curve analysis showed that the nomogram outperformed the clinical factor model in terms of clinical usefulness.

Conclusions

The CT-based radiomics nomogram incorporating the Rad-score and clinical factors showed favorable predictive efficacy for differentiating BLEL from MALToma in the parotid gland, and may help in the clinical decision-making process.

Key Points

• Differential diagnosis between BLEL and MALToma in parotid gland is rather difficult by conventional imaging modalities.
• A radiomics nomogram integrated with the radiomics signature, demographics, and CT findings facilitates differentiation of BLEL from MALToma with improved diagnostic efficacy.
Appendix
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Metadata
Title
A CT-based radiomics nomogram for differentiation of lympho-associated benign and malignant lesions of the parotid gland
Authors
Ying-mei Zheng
Wen-jian Xu
Da-peng Hao
Xue-jun Liu
Chuan-ping Gao
Guo-zhang Tang
Jie Li
He-xiang Wang
Cheng Dong
Publication date
01-05-2021
Publisher
Springer Berlin Heidelberg
Keyword
Lymphoma
Published in
European Radiology / Issue 5/2021
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-020-07421-4

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