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• Clinical Article •
Value of MRI multi-sequence model fusion radiomics in predicting the response to concurrent chemoradiotherapy in patients with locally advanced nasopharyngeal carcinoma
WANG Xin  LIANG Liuke  SU Xiaohong  LI Xinyi  LIU Lu  JIN Guanqiao 

Cite this article as: Wang X, Liang LK, Su XH, et al. Value of MRI multi-sequence model fusion radiomics in predicting the response to concurrent chemoradiotherapy in patients with locally advanced nasopharyngeal carcinoma[J]. Chin J Magn Reson Imaging, 2022, 13(6): 10-16. DOI:10.12015/issn.1674-8034.2022.06.003.


[Abstract] Objective To investigate the value of MRI multi-sequence model fusion (MSMF) radiomics model in predicting the efficacy of concurrent chemoradiotherapy (CCRT) in patients with locally advanced nasopharyngeal carcinoma (NPC).Materials and Methods A total of 154 patients with locally advanced NPC were included in this study. All patients received CCRT treatment and MRI examination. RESIST 1.1 was used to evaluate the response after treatment, and the patients were divided into complete response group (83 cases) and incomplete response group (71 cases). The data were randomly divided into training and validation sets by a ratio of 3∶1, and the regions of interests of each sequence images were manually segmented. And 9766 radiomics features were respectively extracted from each of the three sequences using Matlab 2018a software, and the features were screened by t test and maximum correlation minimum redundancy algorithm. Support vector machines and logistic regression were used to build prediction models, and ROC curves were drawn. Delong test was used to compare the prediction performance.Results In the validation set, the area under the curve (AUC) values of the clinical model, T1WI, T2WI, contrast enhanced T1WI models were 0.542, 0.633, 0.711, and 0.842 (P values were 0.661, 0.161, 0.026, and <0.001, respectively). In the multi-sequence fusion models, the AUC values of the MSMF model and the clinical-MSMF model were 0.896 and 0.867, respectively (P＜0.05 for both). The AUC of MSMF and clinical-MSMF radiomics models in predicting the response to CCRT in patients with locally advanced NPC was significantly higher than T2WI, T1WI and clinical models, and the differences were statistically significant (P＜0.05).Conclusions The ability of MSMF radiomics model to predict the efficacy of CCRT is better than conventional single-sequence radiomics prediction models and clinical models. Therefore, this model is expected to be a method to predict the efficacy of CCRT and further promote the development of precision medicine.
[Keywords] radiomics；nasopharyngeal carcinoma；locally advanced；concurrent chemoradiotherapy；efficacy prediction；magnetic resonance imaging

WANG Xin1   LIANG Liuke2   SU Xiaohong1   LI Xinyi1   LIU Lu1   JIN Guanqiao1*  

1 Medical Imaging Center of Cancer Hospital affiliated to Guangxi Medical University, Nanning 530021, China

2 Radiotherapy Technology Center of Cancer Hospital affiliated to Guangxi Medical University, Nanning 530021, China

Jin GQ, E-mail: jinguanqiao77@gxmu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 81760533); Key Laboratory Construction Project of Guangxi Zhuang Autonomous Region Health Committee (No. ZPZH2020004).
Received  2022-01-14
Accepted  2022-05-12
DOI: 10.12015/issn.1674-8034.2022.06.003
Cite this article as: Wang X, Liang LK, Su XH, et al. Value of MRI multi-sequence model fusion radiomics in predicting the response to concurrent chemoradiotherapy in patients with locally advanced nasopharyngeal carcinoma[J]. Chin J Magn Reson Imaging, 2022, 13(6): 10-16. DOI:10.12015/issn.1674-8034.2022.06.003.

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