CASIA OpenIR
Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma
Lu, Wei1,2; Zhong, Lianzhen2,3; Dong, Di2,3; Fang, Mengjie2,3; Dai, Qi1; Leng, Shaoyi1; Zhang, Liwen2,3; Sun, Wei1; Tian, Jie2,3,4; Zheng, Jianjun1; Jin, Yinhua1
Source PublicationEUROPEAN JOURNAL OF RADIOLOGY
ISSN0720-048X
2019-09-01
Volume118Pages:231-238
Corresponding AuthorTian, Jie(jie.tian@ia.ac.cn) ; Zheng, Jianjun(zhengjianjun@ucas.ac.cn) ; Jin, Yinhua(jinyh@ucas.ac.cn)
AbstractPurpose: Cervical lymph node (LN) metastasis of papillary thyroid carcinoma (PTC) is critical for treatment and prognosis. We explored the feasibility of using radiomics to preoperatively predict cervical LN metastasis in PTC patients. Method: Total 221 PTC patients (training cohort n = 154; validation cohort n = 67; divided randomly at the ratio of 7:3) were enrolled and divided into 2 groups based on LN pathologic diagnosis (NO: n = 118; N1 a and N1b: n = 88 and 15, respectively). We extracted 546 radiomic features from non-contrast and venous contrast-enhanced computed tomography (CT) images. We selected 8 groups of candidate feature sets by minimum redundancy maximum relevance (mRMR), and obtained 8 radiomic sub-signatures by support vector machine (SVM) to construct the radiomic signature. Incorporating the radiomic signature, CT-reported cervical LN status and clinical risk factors, a nomogram was constructed using multivariable logistic regression. The nomogram's calibration, discrimination, and clinical utility were assessed. Results: The radiomic signature was associated significantly with cervical LN status (p < 0.01 for both training and validation cohorts). The radiomic signature showed better predictive performance than any radiomic sub-signatures devised by SVM. Addition of radiomic signature to the nomogram improved the predictive value (area under the curve (AUC), 0.807 to 0.867) in the training cohort; this was confirmed in an independent validation cohort (AUC, 0.795 to 0.822). Good agreement was observed using calibration curves in both cohorts. Decision curve analysis demonstrated the radiomic nomogram was worthy of clinical application. Conclusions: Our radiomic nomogram improved the preoperative prediction of cervical LN metastasis in PTC patients.
KeywordForecasting Thyroid neoplasms Lymphatic metastasis
DOI10.1016/j.ejrad.2019.07.018
WOS KeywordPROGNOSTIC-FACTORS ; CANCER ; TOMOGRAPHY ; ULTRASOUND ; DIAGNOSIS ; MRI ; DISSECTION ; NODULES ; AMES ; CT
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFC1309100] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[81501616] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81671851] ; National Natural Science Foundation of China[81527805] ; Beijing Natural Science Foundation[L182061] ; Bureau of International Cooperation of Chinese Academy of Sciences[173211KYSB20160053] ; Instrument Developing Project of the Chinese Academy of Sciences[YZ201502] ; Youth Innovation Promotion Association CAS[2017175] ; Key R&D Project of Zhejiang Province[2017C03042] ; Major Medical and Health Program of Zhejiang Province[WKJ-ZJ-1807] ; Public Welfare Technology Application Research Project of Zhejiang Province[2017C35003] ; Natural Science Foundation of Zhejiang Province[LY18H180011] ; Public Welfare Technology Research Project of Zhejiang Province[LGF18H180017] ; Medical Science and Technology Project of Zhejiang Province[2019320334] ; Ningbo Municipal Leading and Top-notch Personnel Training Project[NBLJ201801030]
Funding OrganizationNational Key R&D Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Bureau of International Cooperation of Chinese Academy of Sciences ; Instrument Developing Project of the Chinese Academy of Sciences ; Youth Innovation Promotion Association CAS ; Key R&D Project of Zhejiang Province ; Major Medical and Health Program of Zhejiang Province ; Public Welfare Technology Application Research Project of Zhejiang Province ; Natural Science Foundation of Zhejiang Province ; Public Welfare Technology Research Project of Zhejiang Province ; Medical Science and Technology Project of Zhejiang Province ; Ningbo Municipal Leading and Top-notch Personnel Training Project
WOS Research AreaRadiology, Nuclear Medicine & Medical Imaging
WOS SubjectRadiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000481609300034
PublisherELSEVIER IRELAND LTD
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/27623
Collection中国科学院自动化研究所
Corresponding AuthorTian, Jie; Zheng, Jianjun; Jin, Yinhua
Affiliation1.Univ Chinese Acad Sci, Hwa Mei Hosp, Dept Med Imaging, 41 Northwest St, Ningbo 315010, Zhejiang, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Beihang Univ, Sch Med, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100191, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Lu, Wei,Zhong, Lianzhen,Dong, Di,et al. Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma[J]. EUROPEAN JOURNAL OF RADIOLOGY,2019,118:231-238.
APA Lu, Wei.,Zhong, Lianzhen.,Dong, Di.,Fang, Mengjie.,Dai, Qi.,...&Jin, Yinhua.(2019).Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma.EUROPEAN JOURNAL OF RADIOLOGY,118,231-238.
MLA Lu, Wei,et al."Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma".EUROPEAN JOURNAL OF RADIOLOGY 118(2019):231-238.
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