MRI-based radiomics analysis for preoperative evaluation of lymph node metastasis in hypopharyngeal squamous cell carcinoma

Shanhong Lu; Shanhong Lu; Shanhong Lu; Shanhong Lu; Hang Ling; Hang Ling; Hang Ling; Juan Chen; Lei Tan; Yan Gao; Huayu Li; Pingqing Tan; Donghai Huang; Donghai Huang; Donghai Huang; Donghai Huang; Xin Zhang; Xin Zhang; Xin Zhang; Xin Zhang; Yong Liu; Yong Liu; Yong Liu; Yong Liu; Yitao Mao; Yuanzheng Qiu; Yuanzheng Qiu; Yuanzheng Qiu; Yuanzheng Qiu

doi:10.3389/fonc.2022.936040

Frontiers in Oncology (Sep 2022)

MRI-based radiomics analysis for preoperative evaluation of lymph node metastasis in hypopharyngeal squamous cell carcinoma

Shanhong Lu,
Shanhong Lu,
Shanhong Lu,
Shanhong Lu,
Hang Ling,
Hang Ling,
Hang Ling,
Juan Chen,
Lei Tan,
Yan Gao,
Huayu Li,
Pingqing Tan,
Donghai Huang,
Donghai Huang,
Donghai Huang,
Donghai Huang,
Xin Zhang,
Xin Zhang,
Xin Zhang,
Xin Zhang,
Yong Liu,
Yong Liu,
Yong Liu,
Yong Liu,
Yitao Mao,
Yuanzheng Qiu,
Yuanzheng Qiu,
Yuanzheng Qiu,
Yuanzheng Qiu

Affiliations

Shanhong Lu: Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
Shanhong Lu: Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Shanhong Lu: Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Shanhong Lu: National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
Hang Ling: Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
Hang Ling: Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Hang Ling: Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Juan Chen: Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
Lei Tan: College of Computer and Information Engineering, Hunan University of Technology and Business, Changsha, China
Yan Gao: Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
Huayu Li: Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
Pingqing Tan: Department of Head and Neck Surgery, Hunan Cancer Hospital, Xiangya Medical School, Central South University, Changsha, China
Donghai Huang: Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
Donghai Huang: Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Donghai Huang: Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Donghai Huang: National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
Xin Zhang: Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
Xin Zhang: Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Xin Zhang: Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Xin Zhang: National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
Yong Liu: Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
Yong Liu: Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Yong Liu: Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Yong Liu: National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
Yitao Mao: Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
Yuanzheng Qiu: Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China
Yuanzheng Qiu: Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Yuanzheng Qiu: Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Xiangya Hospital, Central South University, Changsha, China
Yuanzheng Qiu: National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China

DOI: https://doi.org/10.3389/fonc.2022.936040
Journal volume & issue: Vol. 12

Abstract

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ObjectiveTo investigate the role of pre-treatment magnetic resonance imaging (MRI) radiomics for the preoperative prediction of lymph node (LN) metastasis in patients with hypopharyngeal squamous cell carcinoma (HPSCC).MethodsA total of 155 patients with HPSCC were eligibly enrolled from single institution. Radiomics features were extracted from contrast-enhanced axial T-1 weighted (CE-T1WI) sequence. The most relevant features of LN metastasis were selected by the least absolute shrinkage and selection operator (LASSO) method. Univariate and multivariate logistic regression analysis was adopted to determine the independent clinical risk factors. Three models were constructed to predict the LN metastasis status: one using radiomics only, one using clinical factors only, and the other one combined radiomics and clinical factors. Receiver operating characteristic (ROC) curves and calibration curve were used to evaluate the discrimination and the accuracy of the models, respectively. The performances were tested by an internal validation cohort (n=47). The clinical utility of the models was assessed by decision curve analysis.ResultsThe nomogram consisted of radiomics scores and the MRI-reported LN status showed satisfactory discrimination in the training and validation cohorts with AUCs of 0.906 (95% CI, 0.840 to 0.972) and 0.853 (95% CI, 0.739 to 0.966), respectively. The nomogram, i.e., the combined model, outperformed the radiomics and MRI-reported LN status in both discrimination and clinical usefulness.ConclusionsThe MRI-based radiomics nomogram holds promise for individual and non-invasive prediction of LN metastasis in patients with HPSCC.

Published in Frontiers in Oncology

ISSN: 2234-943X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Website: https://www.frontiersin.org/journals/oncology/

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