Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
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 | |
发表期刊 | EUROPEAN JOURNAL OF RADIOLOGY |
ISSN | 0720-048X |
2019-09-01 | |
卷号 | 118页码:231-238 |
摘要 | Purpose: 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. |
关键词 | Forecasting Thyroid neoplasms Lymphatic metastasis |
DOI | 10.1016/j.ejrad.2019.07.018 |
关键词[WOS] | PROGNOSTIC-FACTORS ; CANCER ; TOMOGRAPHY ; ULTRASOUND ; DIAGNOSIS ; MRI ; DISSECTION ; NODULES ; AMES ; CT |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Ningbo Municipal Leading and Top-notch Personnel Training Project[NBLJ201801030] ; Medical Science and Technology Project of Zhejiang Province[2019320334] ; Public Welfare Technology Research Project of Zhejiang Province[LGF18H180017] ; Natural Science Foundation of Zhejiang Province[LY18H180011] ; Major Medical and Health Program of Zhejiang Province[WKJ-ZJ-1807] ; Public Welfare Technology Application Research Project of Zhejiang Province[2017C35003] ; Key R&D project of Zhejiang Province[2017C03042] ; Youth Innovation Promotion Association CAS[2017175] ; Instrument Developing Project of the Chinese Academy of Sciences[YZ201502] ; Bureau of International Cooperation of Chinese Academy of Sciences[173211KYSB20160053] ; Beijing Natural Science Foundation[L182061] ; National Key R&D Program of China[2017YFC1309100] ; National Key R&D Program of China[2017YFC1308700] ; National Natural Science Foundation of China[81671851] ; National Natural Science Foundation of China[81501616] ; National Natural Science Foundation of China[81771924] ; National Key R&D Program of China[2017YFA0205200] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; National Key R&D Program of China[2017YFA0205200] ; National Natural Science Foundation of China[81771924] ; National Natural Science Foundation of China[81501616] ; National Natural Science Foundation of China[81671851] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFC1309100] ; 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] ; Public Welfare Technology Application Research Project of Zhejiang Province[2017C35003] ; Major Medical and Health Program of Zhejiang Province[WKJ-ZJ-1807] ; 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] |
WOS研究方向 | Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000481609300034 |
出版者 | ELSEVIER IRELAND LTD |
七大方向——子方向分类 | 医学影像处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/27623 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Tian, Jie; Zheng, Jianjun; Jin, Yinhua |
作者单位 | 1.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 |
第一作者单位 | 中国科学院分子影像重点实验室 |
通讯作者单位 | 中国科学院分子影像重点实验室 |
推荐引用方式 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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