The significance of intratumoral and peritumoral radiomics models in predicting occult lymph node metastasis in stage T1 non-small cell lung cancer
10.3969/j.issn.1002-1671.2024.02.006
- VernacularTitle:瘤内和瘤周影像组学模型在预测T1期非小细胞肺癌隐匿性淋巴结转移的价值
- Author:
Haipeng HUANG
1
;
Miaomiao LIN
;
Mingwei MA
;
Xiang ZHAO
;
Roumei WANG
;
Kai LI
Author Information
1. 广西医科大学第一附属医院放射科,广西 南宁 530000
- Keywords:
non-small cell lung cancer;
lymph node metastasis;
radiomics;
computed tomography
- From:
Journal of Practical Radiology
2024;40(2):198-203
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the significance of intratumoral and peritumoral radiomics models in predicting occult lymph node metastasis in stage T1 non-small cell lung cancer(NSCLC)and to compare the predictive accuracy in different peritumoral radiomics models.Methods The CT images and clinical data of 211 patients without lymph node metastasis on preoperative CT examination and pathologically confirmed NSCLC after surgery were collected.The radiomics features were derived from the three-dimensional volume of interest(VOI)of the intratumoral and peritumoral at 3-,5-,and 10-mm following lesion segmentation on CT images of each patient.The feature data of all nidus were radomly divide into training set and validation set with a ratio of 7︰3.The Pearson or Spearman correlation test was performed to remove redundancy.Dimensionality was reduced by the least absolute shrinkage and selection operator(LASSO)regression analysis.The linear combination of selected features and corresponding coefficients were used to construct the Radiomics score(Radscore).The clinical model and comprehensive model were constructed by logistic regression analysis.The conprehensive model was visualized with the nomogram,and its performance was evaluated.Results Among the peritumoral radiomics models,the peritumoral 5-mm model showed the best predictive efficacy[validation set,area under the curve(AUC)0.771].The comprehensive model containing Radscore,CT image features and CEA exhibited the best performance(validation set,AUC 0.850).Conclusion Intratumoral and peritumoral radiomics models perform efficiently in predicting occult lymph node metastasis in stage T1 NSCLC,and nomogram can effectively and noninvasively predict occult lymph node metastasis in NSCLC.
