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Pancreatic Serous Cystic Neoplasms and Mucinous Cystic Neoplasms: Differential Diagnosis by Combining Imaging Features and Enhanced CT Texture Analysis

文献类型：期刊论文

作者Chen, Hai-Yan5,6; Deng, Xue-Ying5,6; Pan, Yao4; Chen, Jie-Yu5,6; Liu, Yun-Ying3,5; Chen, Wu-Jie5,6; Yang, Hong5,6; Zheng, Yao5,6; Yang, Yong-Bo5,6; Liu, Cheng2
刊名FRONTIERS IN ONCOLOGY
出版日期2021-12-23
卷号11
关键词pancreatic neoplasms serous cystadenoma mucinous cystadenoma texture analysis tomography
ISSN号2234-943X
DOI10.3389/fonc.2021.745001
通讯作者Shao, Guo-Liang(shaogl@zjcc.org.cn) ; Yu, Ri-Sheng(risheng-yu@zju.edu.cn)
英文摘要ObjectiveTo establish a diagnostic model by combining imaging features with enhanced CT texture analysis to differentiate pancreatic serous cystadenomas (SCNs) from pancreatic mucinous cystadenomas (MCNs). Materials and MethodsFifty-seven and 43 patients with pathology-confirmed SCNs and MCNs, respectively, from one center were analyzed and divided into a training cohort (n = 72) and an internal validation cohort (n = 28). An external validation cohort (n = 28) from another center was allocated. Demographic and radiological information were collected. The least absolute shrinkage and selection operator (LASSO) and recursive feature elimination linear support vector machine (RFE_LinearSVC) were implemented to select significant features. Multivariable logistic regression algorithms were conducted for model construction. Receiver operating characteristic (ROC) curves for the models were evaluated, and their prediction efficiency was quantified by the area under the curve (AUC), 95% confidence interval (95% CI), sensitivity and specificity. ResultsFollowing multivariable logistic regression analysis, the AUC was 0.932 and 0.887, the sensitivity was 87.5% and 90%, and the specificity was 82.4% and 84.6% with the training and validation cohorts, respectively, for the model combining radiological features and CT texture features. For the model based on radiological features alone, the AUC was 0.84 and 0.91, the sensitivity was 75% and 66.7%, and the specificity was 82.4% and 77% with the training and validation cohorts, respectively. ConclusionThis study showed that a logistic model combining radiological features and CT texture features is more effective in distinguishing SCNs from MCNs of the pancreas than a model based on radiological features alone.
WOS关键词OLIGOCYSTIC ADENOMA ; TUMORS ; CYSTADENOMA ; ASSOCIATION ; GUIDELINES ; MANAGEMENT
资助项目National Natural Science Foundation of China[82072032] ; Major Medical and Health Science and Technology Projects in Zhejiang Province[WKJ-ZJ-2002] ; Key R&D Projects in Zhejiang Province[2019C03058] ; Medical Science and Technology Project of the Health Department of Zhejiang Province of China[2019328554] ; Medical Science and Technology Project of the Health Department of Zhejiang Province of China[2021KY091]
WOS研究方向Oncology
语种英语
WOS记录号WOS:000743506600001
出版者FRONTIERS MEDIA SA
资助机构National Natural Science Foundation of China ; Major Medical and Health Science and Technology Projects in Zhejiang Province ; Key R&D Projects in Zhejiang Province ; Medical Science and Technology Project of the Health Department of Zhejiang Province of China
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/127115]  
专题中国科学院合肥物质科学研究院
通讯作者Shao, Guo-Liang; Yu, Ri-Sheng
作者单位1.Clin Res Ctr Hepatobiliary & Pancreat Dis Zhejian, Hangzhou, Peoples R China
2.Hangzhou YITU Healthcare Technol Co Ltd, Res Inst Artificial Intelligence Healthcare, Hangzhou, Peoples R China
3.Univ Chinese Acad Sci, Canc Hosp, Dept Pathol, Zhejiang Canc Hosp, Hangzhou, Peoples R China
4.Zhejiang Univ, Affiliated Hosp 2, Dept Radiol, Sch Med, Hangzhou, Peoples R China
5.Chinese Acad Sci, Inst Canc & Basic Med ICBM, Hangzhou, Peoples R China
6.Univ Chinese Acad Sci, Canc Hosp, Dept Radiol, Zhejiang Canc Hosp, Hangzhou, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Hai-Yan,Deng, Xue-Ying,Pan, Yao,et al. Pancreatic Serous Cystic Neoplasms and Mucinous Cystic Neoplasms: Differential Diagnosis by Combining Imaging Features and Enhanced CT Texture Analysis[J]. FRONTIERS IN ONCOLOGY,2021,11.
APA Chen, Hai-Yan.,Deng, Xue-Ying.,Pan, Yao.,Chen, Jie-Yu.,Liu, Yun-Ying.,...&Yu, Ri-Sheng.(2021).Pancreatic Serous Cystic Neoplasms and Mucinous Cystic Neoplasms: Differential Diagnosis by Combining Imaging Features and Enhanced CT Texture Analysis.FRONTIERS IN ONCOLOGY,11.
MLA Chen, Hai-Yan,et al."Pancreatic Serous Cystic Neoplasms and Mucinous Cystic Neoplasms: Differential Diagnosis by Combining Imaging Features and Enhanced CT Texture Analysis".FRONTIERS IN ONCOLOGY 11(2021).

入库方式： OAI收割

来源：合肥物质科学研究院

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