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Clinical Article
Clinical application value of MR-based radiomics for differentiation of benign and malignant of parotid gland
QI Jinbo  GAO Ankang  BAI Jie  CHENG Jingliang  WEN Baohong  WANG Feifei  ZHANG Zanxia  MA Xiaoyue 

Cite this article as: Qi JB, Gao AK, Bai J, et al. Clinical application value of MR-based radiomics for differentiation of benign and malignant of parotid gland[J]. Chin J Magn Reson Imaging, 2022, 13(5): 34-39. DOI:10.12015/issn.1674-8034.2022.05.007.

[Abstract] Objective To explore the clinical application value of radiomics model with multi-sequence combination in differentiating benign from malignant tumor of parotid gland and, among the former, differentiating pleomorphic adenomas from Warthin tumors.Materials and Methods The clinical data and preoperative MRI images of 124 patients with parotid benign tumors, including 64 cases of pleomorphic adenomas and 60 cases of Warthin tumors, and 52 patients with malignant tumors by pathology were analyzed retrospectively. The region of interest was created manually from fat saturated T2 weighted imaging (FS-T2WI) using ITK-SNAP software,then FS-T2WI was registered to the apparent diffusion coefficient (ADC) map and contrast enhanced T1 weighted imaging (CE-T1WI), respectively. The FAE software was used to extract 1316 radiomics features from FS-T2WI, ADC and CE-T1WI, respectively. Features were selected by using recursive feature elimination (RFE) method, and support vector machine, as the classifier, was used to develop radiomics model. The receiver operating characteristic (ROC) curves were drawn to evaluate differential diagnosis performance of each model and Delong's test was used to compare the differences between models.Results The MRI features of parotid tumors were as following: compared with parotid benign tumors, malignant tumors were mostly located in deep lobe or double lobes (P<0.001), with less clear boundary (P<0.001), heterogeneous appearance (P=0.003), more cystic degeneration or necrosis occurred (P=0.002) and infiltration of surrounding structures or lymph node metastasis suggests a greater possibility of malignancy (P<0.001).The radiomics models were analyzed as follows: 7 radiomics models were constructed based on FS-T2WI, ADC and CE-TIWI sequence to distinguish benign from malignant tumors of parotid gland. The ROC analyses on 7 models resulted in an area under the curve (AUC) of 0.798 for FS-T2WI model, 0.838 for ADC model, 0.856 for CE-T1WI model, 0.815 for FS-T2WI+ADC model, 0.858 for FS-T2WI+CE-T1WI model, 0.863 for ADC+CE-T1WI model, and 0.878 for multi-sequence joint model. Seven radiomics models were constructed with the same method for differentiation between pleomorphic adenomas and Warthin tumor, the AUC were 0.724, 0.910, 0.848, 0.887, 0.876, 0.915 and 0.954, respectively.Conclusions The diagnostic performance of multi-sequence joint model in differentiating benign from malignant tumor of parotid gland and distinguishing pleomorphic adenoma from Warthin tumor are both better than that of single sequence and double sequence models, and CE-T1WI and ADC obtain the highest diagnostic efficiency among single sequences, respectively.
[Keywords] parotid tumors;magnetic resonance imaging;radiomics;Warthin tumors;pleomorphic adenomas

QI Jinbo   GAO Ankang   BAI Jie   CHENG Jingliang*   WEN Baohong   WANG Feifei   ZHANG Zanxia   MA Xiaoyue  

Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China

Cheng JL, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS Joint Construction Project of Henan Medical Science and Technology Research Project (No. LHGJ20190157); Youth Project of Henan Medical Science and Technology Research Project (No. SBGJ202103078).
Received  2022-01-21
Accepted  2022-04-29
DOI: 10.12015/issn.1674-8034.2022.05.007
Cite this article as: Qi JB, Gao AK, Bai J, et al. Clinical application value of MR-based radiomics for differentiation of benign and malignant of parotid gland[J]. Chin J Magn Reson Imaging, 2022, 13(5): 34-39. DOI:10.12015/issn.1674-8034.2022.05.007.

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