Enhanced CT radiomics-CT feature model for differentiating sinonasal squamous cell carcinoma and lymphoma
10.13929/j.issn.1003-3289.2024.07.010
- VernacularTitle:增强CT影像组学-CT特征联合模型鉴别鼻腔鼻窦鳞状细胞癌与淋巴瘤
- Author:
Haijing CHEN
1
;
Yaying YANG
;
Wei ZHAO
;
Bo HE
;
Li WU
;
Jihong HU
;
Qingqing LI
Author Information
1. 昆明医科大学第一附属医院医学影像科,云南昆明 650032
- Keywords:
paranasal sinus neoplasms;
carcinoma,squamous cell;
lymphoma;
nomograms;
tomography,X-ray computed
- From:
Chinese Journal of Medical Imaging Technology
2024;40(7):1003-1008
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of enhanced CT radiomics combined with CT features model(combined model)for differentiating squamous cell carcinoma(SNSCC)and sinonasal lymphoma(SL).Methods Totally 68 patients with SNSCC and 63 patients with SL were retrospectively collected and divided into training set(n=92,including 48 SNSCC and 44 SL)and verification set(n=39,including 20 SNSCC and 19 SL)at the ratio of 7:3.Univariate analysis and logistic regression were used to analyze clinical data and CT manifestations in training set,and the independent predictive factors for differentiating SNSCC and SL were screened and used to construct a CT features model.Based on enhanced venous phase CT of training set,the best radiomics features of lesions were extracted and screened.The radiomics model was then established,and the radiomics label was calculated.The combined model was finally constructed based on CT model and radiomics labels,and its nomogram was drawn.Receiver operating characteristic(ROC)curve were drawn,and the areas under the curve(AUC)were calculated to evaluate the efficacy of each model for differentiating SNSCC and SL.Calibration and decision curve analysis were used to evaluate the calibration efficacy and clinical benefit of the obtained combined model.Results The primary location of the lesion and bone invasion showed on CT were both independent predictive factors for SNSCC and SL(both P＜0.05),and CT model was constructed.Based on enhanced venous phase CT,3 best radiomics features were selected to establish the radiomics model.The AUC of CT,radiomics and combined model in training set was 0.895,0.730 and 0.925,respectively,and significant differences of AUC were found among 3 models(Z=-3.964 to-1.833,all P＜0.05).The AUC of CT,radiomics and combined model in verification set was 0.845,0.684 and 0.868,respectively,of combined model was greater than of radiomics model(Z=-2.568,P=0.010).The combined model had good calibration.Taken 15％-62％ and 85％-92％ as the thresholds in training set and 88％ to 95％ in validation set,the clinical net benefit of combined model was high.Conclusion The obtained enhanced CT radiomics combined with CT features model could be used to effectively differentiate SNSCC and SL.
