| Yan Han,Zhong Yiwei,Wang Lingxiao,et al.Pretreatment prediction of cervical lymph node metastasis in salivary gland carcinoma based on 18F-FDG PET/CT radiomics[J].Chinese Journal of Radiological Medicine and Protection,2022,42(5):361-366 |
| Pretreatment prediction of cervical lymph node metastasis in salivary gland carcinoma based on 18F-FDG PET/CT radiomics |
| Received:January 27, 2022 |
| DOI：10.3760/cma.j.cn112271-20220127-00038 |
| KeyWords:Salivary gland neoplasms Radiomics PET/CT Lymph node metastasis |
| FundProject:北京大学口腔医院临床新技术新疗法(PKUSSNCT-19A07) |
| Author Name | Affiliation | E-mail | | Yan Han | Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China | | | Zhong Yiwei | Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China | | | Wang Lingxiao | Frankfurt Institute for Advanced Studies & Xidian-FIAS International Joint Research Center, Frankfurt am Main 60438, Germany | | | Wu Wenjie | Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China | | | Zhang Jie | Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China | | | Zhang Jianguo | Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China | | | Huang Mingwei | Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China | hmwd97@126.com |
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| Abstract:: |
| Objective To explore the value of18F-FDG PET/CT radiomics in predicting the cervical lymph node metastasis in salivary gland cancer.Methods Sixty-eight patients with salivary gland carcinoma treated in the Peking University School and Hospital of Stomatology were retrospectively studied. They were randomly divided into training group (n=40), validation group (n=14), and test group (n=14). The primary tumor lesions were semi-automatically delineated on PET images as regions of interest (ROIs) and the radiomic features were extracted from ROIs. After feature selection and dimension reduction, an artificial neural network (ANN) prediction model was constructed. The prediction performance of the model was assessed using receiver operating characteristic (ROC) curves, the area under ROC curves (AUC), accuracy, sensitivity, and specificity. Moreover, the performance of various models was compared using the Delong test.Results The radiomic model yielded an AUC of 0.88 (95%CI: 0.78-0.95), a sensitivity of 75%, specificity of 92.3%, and accuracy of 88.2%. By contrast, the combined model constructed based on the clinical node status (cN) reported by PET/CT and radiomic features yielded an AUC of 0.97 (95%CI: 0.89-0.99), a sensitivity of 87.5%, specificity of 100%, and accuracy of 97.1%. The Delong test showed that there was a statistically significant difference between the combined model and cN (Z=2.27,P<0.05), but there was no statistically significant difference between the radiomic model and cN (P>0.05).Conclusions The ANN model based on18F-FDG PET/CT radiomics combined with cN reported by PET/CT can more accurately predict cervical lymph node metastasis in patients with salivary gland carcinoma. |
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