Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics

doi:10.3389/fonc.2022.870544

	Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics
	Yan, Yang 1; Liu, Yujia 2,3; Tao, Jianhua1 ; Li, Zheng 1; Qu, Xiaoxia 1; Guo, Jian 1; Xian, Junfang 1
发表期刊	FRONTIERS IN ONCOLOGY
ISSN	2234-943X
	2022-03-23
卷号	12 页码:10
通讯作者	Xian, Junfang(cjr.xianjunfang@vip.163.com)
摘要	PurposeAccurate preoperative prediction of the malignant transformation of sinonasal inverted papilloma (IP) is essential for guiding biopsy, planning appropriate surgery and prognosis of patients. We aimed to investigate the value of MRI-based radiomics in discriminating IP from IP-transformed squamous cell carcinomas (IP-SCC). MethodsA total of 236 patients with IP-SCC (n=92) or IP (n=144) were enrolled and divided into a training cohort and a testing cohort. Preoperative MR images including T1-weighted, T2-weighted, and contrast enhanced T1-weighted images were collected. Radiomic features were extracted from MR images and key features were merged into a radiomic model. A morphological features model was developed based on MR morphological features assessed by radiologists. A combined model combining radiomic features and morphological features was generated using multivariable logistic regression. For comparison, two head and neck radiologists were independently invited to distinguish IP-SCC from IP. The area under the receiver operating characteristics curve (AUC) was used to assess the performance of all models. ResultsA total of 3948 radiomic features were extracted from three MR sequences. After feature selection, we saved 15 key features for modeling. The AUC, sensitivity, specificity, and accuracy on the testing cohort of the combined model based on radiomic and morphological features were respectively 0.962, 0.828, 0.94, and 0.899. The diagnostic ability of the combined model outperformed the morphological features model and also outperformed the two head and neck radiologists. ConclusionsA combined model based on MR radiomic and morphological features could serve as a potential tool to accurately predict IP-SCC, which might improve patient counseling and make more precise treatment planning.
关键词	inverted papilloma (IP) squamous cell carcinoma sinonasal cancer radiomics magnetic resonance imaging
DOI	10.3389/fonc.2022.870544
关键词[WOS]	SQUAMOUS-CELL CARCINOMA ; MANAGEMENT ; DIAGNOSIS ; FEATURES ; OUTCOMES
收录类别	SCI
语种	英语
资助项目	National Key Ramp;D Program of China[2017YFA0205200] ; National Key Ramp;D Program of China[2017YFC1308700] ; National Key Ramp;D Program of China[2017YFA0700401] ; National Key Ramp;D Program of China[2017YFC1309100] ; National Natural Science Foundation of China[82022036] ; National Natural Science Foundation of China[91959130] ; National Natural Science Foundation of China[81971776] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[62027901] ; National Natural Science Foundation of China[81930053] ; National Natural Science Foundation of China[81227901] ; Beijing Natural Science Foundation[L182061] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB 38040200] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Project of High-Level Talents Team Introduction in Zhuhai City (Zhuhai)[HLHPTP201703] ; Youth Innovation Promotion Association CAS[2017175] ; Beijing Municipal Administration of HospitalsAscent Plan[DFL20190203] ; Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support[ZYLX201704] ; High Level Health Technical Personnel of Bureau of Health in Beijing[2014-2-005]
项目资助者	National Key Ramp;D Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese Academy of Sciences ; Project of High-Level Talents Team Introduction in Zhuhai City (Zhuhai) ; Youth Innovation Promotion Association CAS ; Beijing Municipal Administration of HospitalsAscent Plan ; Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support ; High Level Health Technical Personnel of Bureau of Health in Beijing
WOS研究方向	Oncology
WOS类目	Oncology
WOS记录号	WOS:000780731400001
出版者	FRONTIERS MEDIA SA
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/48364
专题	中国科学院分子影像重点实验室
通讯作者	Xian, Junfang
作者单位	1.Capital Med Univ, Beijing Tongren Hosp, Dept Radiol, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 3.Chinese Acad Sci, Chinese Acad Sci Key Lab Mol Imaging, Inst Automat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Yan, Yang,Liu, Yujia,Tao, Jianhua,et al. Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics[J]. FRONTIERS IN ONCOLOGY,2022,12:10.
APA	Yan, Yang.,Liu, Yujia.,Tao, Jianhua.,Li, Zheng.,Qu, Xiaoxia.,...&Xian, Junfang.(2022).Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics.FRONTIERS IN ONCOLOGY,12,10.
MLA	Yan, Yang,et al."Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics".FRONTIERS IN ONCOLOGY 12(2022):10.