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Prediction of tumor cell proliferation activity in nasopharyngeal carcinoma by nomogram based on multiparametric MRI radiomics combined with clinic-radiological features
WANG Zhuo  LIU Shili  ZHANG Shaoru  ZHOU Yunshu  ZHANG Ruodi  CHEN Zhiqiang 

Cite this article as: Wang Z, Liu SL, Zhang SR, et al. Prediction of tumor cell proliferation activity in nasopharyngeal carcinoma by nomogram based on multiparametric MRI radiomics combined with clinic-radiological features[J]. Chin J Magn Reson Imaging, 2022, 13(11): 30-36, 41. DOI:10.12015/issn.1674-8034.2022.11.006.


[Abstract] Objective To explore the value of nomogram based on multiparametric MRI radiomics combined with clinic-radiological features in predicting high expression of Ki-67 in nasopharyngeal carcinoma (NPC).Materials and Methods Retrospectively analyzed the clinical and MRI data of 171 NPC patients from December 2015 to May 2022 in the General Hospital of Ningxia Medical University. According to the expression level of Ki-67, patients were divided into the high Ki-67 group (n=105) and the low Ki-67 group (n=66). We used 3D-Slicer to segment the region of interest and "Pyradiomic" package to extract features. Univariate and multivariate logistic regression and least absolute shrinkage and selection operator regression were performed to select the independent risk factors of high Ki-67 expression and then construct the predictive models. Predictive power among models was assessed and compared by using the area under the receiver operating characteristic (ROC) curve and DeLong test. The clinical utility of the nomogram was demonstrated by the decision curve analysis (DCA).Results Logistic regression results reported that the markedly enhanced tumor focus (OR=4.064, P=0.005), Epstein‐Barr virus deoxyribo nucleic acid (EBV‐DNA)≥5000 IU/mL (OR=3.809, P=0.007) were significant clinical predictors of high Ki-67 expression, which can be applied to establish a clinical model. Seven, four, and two radiomics features significantly related to the high expression of Ki-67 from contrast enhanced T1-weighted imaging (T1WI_CE), T1-weighted imaging (TIWI) and T2-weighted imaging fat suppression (T2WI_FS) were selected to construct a radiomics model. EBV‐DNA, the degree of enhancement and radiomics score (Rad-score) were used to develop the nomogram model. The ROC curve demonstrated that the AUCs of the nomogram model were higher than those of the clinical or radiomics models (training set: 0.887 vs. 0.701, 0.861; validation set: 0.860 vs. 0.749, 0.814). In the training and validation sets, the AUCs of the nomogram model were statistically significantly higher than those of the clinical model (DeLong test, P＜0.05).Conclusions The nomogram model based on multiparametric MRI radiomics combined with clinic-radiological features has high performance in predicting Ki-67 expression status in NPC patients prior to radiotherapy and chemotherapy, which is better than the single model and can be served as a non-invasive predictive tool.
[Keywords] nasopharyngeal carcinoma；Ki-67；radiological features；multi-parameter；magnetic resonance imaging；radiomics；nomogram

WANG Zhuo1   LIU Shili1   ZHANG Shaoru1   ZHOU Yunshu1   ZHANG Ruodi1   CHEN Zhiqiang2, 3*  

1 Clinical Medicine School of Ningxia Medical University, Yinchuan 750004, China

2 Department of Radiology, the First Hospital Affiliated to Hainan Medical College, Haikou 570102, China

3 Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750004, China

Chen ZQ, E-mail: zhiqiang_chen99@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Key Research and Development Program of Ningxia Hui Autonomous Region (No. 2019BEG03033); Natural Science Foundation of Ningxia Hui Autonomous Region (No. 2022AAC03472).
Received  2022-06-17
Accepted  2022-11-10
DOI: 10.12015/issn.1674-8034.2022.11.006
Cite this article as: Wang Z, Liu SL, Zhang SR, et al. Prediction of tumor cell proliferation activity in nasopharyngeal carcinoma by nomogram based on multiparametric MRI radiomics combined with clinic-radiological features[J]. Chin J Magn Reson Imaging, 2022, 13(11): 30-36, 41. DOI:10.12015/issn.1674-8034.2022.11.006.

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