Radiomics analysis of contrast-enhanced computed tomography in predicting the International Neuroblastoma Pathology Classification in neuroblastoma

作者全名："Wang, Haoru; Xie, Mingye; Chen, Xin; Zhu, Jin; Zhang, Li; Ding, Hao; Pan, Zhengxia; He, Ling"

作者地址："[Wang, Haoru; Xie, Mingye; Chen, Xin; Zhang, Li; Ding, Hao; He, Ling] Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Childrens Hosp, Dept Radiol,Minist Educ,Key Lab Child Dev & Disord, 136 Zhongshan Rd 2, Chongqing 400014, Peoples R China; [Zhu, Jin] Chongqing Med Univ, Childrens Hosp, Natl Clin Res Ctr Child Hlth & Disorders, Dept Pathol,Minist Educ,Key Lab Child Dev & Disord, 136 Zhongshan Rd 2, Chongqing 400014, Peoples R China; [Pan, Zhengxia] Chongqing Med Univ, Childrens Hosp, Natl Clin Res Ctr Child Hlth & Disorders, Minist Educ,Key Lab Child Dev & Disorders,Chongqin, 136 Zhongshan Rd 2, Chongqing 400014, Peoples R China"

通信作者："He, L (通讯作者)，Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Childrens Hosp, Dept Radiol,Minist Educ,Key Lab Child Dev & Disord, 136 Zhongshan Rd 2, Chongqing 400014, Peoples R China.; Pan, ZX (通讯作者)，Chongqing Med Univ, Childrens Hosp, Natl Clin Res Ctr Child Hlth & Disorders, Minist Educ,Key Lab Child Dev & Disorders,Chongqin, 136 Zhongshan Rd 2, Chongqing 400014, Peoples R China."

来源：INSIGHTS INTO IMAGING

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001010596800001

JCR分区：Q1

影响因子：4.1

年份：2023

卷号：14

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：Neuroblastoma; Pathology; Radiomics; Computed tomography

摘要："Purpose To predict the International Neuroblastoma Pathology Classification (INPC) in neuroblastoma using a computed tomography (CT)-based radiomics approach. Methods We enrolled 297 patients with neuroblastoma retrospectively and divided them into a training group (n = 208) and a testing group (n = 89). To balance the classes in the training group, a Synthetic Minority Over-sampling Technique was applied. A logistic regression radiomics model based on the radiomics features after dimensionality reduction was then constructed and validated in both the training and testing groups. To evaluate the diagnostic performance of the radiomics model, the receiver operating characteristic curve and calibration curve were utilized. Moreover, the decision curve analysis to assess the net benefits of the radiomics model at different high-risk thresholds was employed. Results Seventeen radiomics features were used to construct radiomics model. In the training group, radiomics model achieved an area under the curve (AUC), accuracy, sensitivity, and specificity of 0.851 (95% confidence interval (CI) 0.805-0.897), 0.770, 0.694, and 0.847, respectively. In the testing group, radiomics model achieved an AUC, accuracy, sensitivity, and specificity of 0.816 (95% CI 0.725-0.906), 0.787, 0.793, and 0.778, respectively. The calibration curve indicated that the radiomics model was well fitted in both the training and testing groups (p > 0.05). Decision curve analysis further confirmed that the radiomics model performed well at different high-risk thresholds. Conclusion Radiomics analysis of contrast-enhanced CT demonstrates favorable diagnostic capabilities in distinguishing the INPC subgroups of neuroblastoma. Critical relevance statement Radiomics features of contrast-enhanced CT images correlate with the International Neuroblastoma Pathology Classification (INPC) of neuroblastoma. [GRAPHICS]"

基金机构："Basic Research and Frontier Exploration Project (Yuzhong District, Chongqing, China) [20200155]"

基金资助正文："The project was funded by the Basic Research and Frontier Exploration Project (Yuzhong District, Chongqing, China), Grant No. 20200155."