Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography
Zhang, Shuaitong6,7; Huang, Shengyu4,5; He, Wei3; Wei, Jingwei7; Huo, Lei2; Jia, Ningyang2; Lin, Jianbo4,5; Tang, Zhenchao1; Yuan, Yunfei2; Tian, Jie1,6,7
刊名ANNALS OF SURGICAL ONCOLOGY
2022-07-04
页码14
ISSN号1068-9265
DOI10.1245/s10434-022-12028-8
通讯作者Tian, Jie(jie.tian@ia.ac.cn) ; Shen, Feng(shenfengehbh@sina.com) ; Li, Jun(lijundfgd1@163.com)
英文摘要Background Lymph node (LN) metastasis is significantly associated with worse prognosis for patients with intrahepatic cholangiocarcinoma (ICC). Improvement in preoperative assessment on LN metastasis helps in treatment decision-making. We aimed to investigate the role of radiomics-based method in predicting LN metastasis for patients with ICC. Methods A total of 296 patients with ICC who underwent curative-intent hepatectomy and lymphadenectomy at two centers in China were analyzed. Radiomic features, including histogram- and wavelet-based features, shape and size features, and texture features were extracted from four-phase computerized tomography (CT) images. The clinical and conventional radiological variables which were independently associated with LN metastasis were also identified. A combined nomogram predicting LN metastasis was developed, and its performance was determined by discrimination, calibration, and stratification of long-term prognosis. The results were validated by the internal and external validation cohorts. Results Twenty-four radiomic features were selected into the nomogram. The established nomogram demonstrated good discrimination and calibration, with areas under the curve (AUCs) of 0.98 [95% confidence interval (CI) 0.96-0.99], 0.93 (0.88-0.98), and 0.89 (0.81-0.96) in the training and two validation cohorts, respectively. The 5-year overall survival (OS) and recurrence-free survival (RFS) rates of patients with high risk of LN metastasis as grouped by nomogram were poorer than those of patients with low risk in the training cohort (OS 28.8% versus 53.9%, p < 0.001; RFS 26.3% versus 44.2%, p = 0.001). Similar results were observed in the two validation cohorts. Conclusions Radiomics-based method provided accurate prediction of LN metastasis and prognostic assessment for ICC patients, and might aid the preoperative surgical decision.
资助项目National Natural Science Foundation of China[81772531] ; National Natural Science Foundation of China[62027901] ; National Natural Science Foundation of China[82102140] ; National Natural Science Foundation of China[81930053] ; Program of Shanghai Academic/Technology Research Leader[19XD1425000] ; Program of Shanghai for Key Clinical Disciplines Construction[shslczdzk02402] ; Program of Shanghai for Medical Guide[18411968900] ; Program of Shanghai for Clinical Skill Training and Clinical Practice Innovations[SHDC2020CR4027] ; Program of Shanghai for Clinical Skill Training and Clinical Practice Innovations[SHDC2020CR5007] ; Program of Shanghai for Clinical Skill Training and Clinical Practice Innovations[SHDC12019110]
WOS关键词LYMPHADENECTOMY ; MANAGEMENT ; NOMOGRAM
WOS研究方向Oncology ; Surgery
语种英语
出版者SPRINGER
WOS记录号WOS:000820535000005
资助机构National Natural Science Foundation of China ; Program of Shanghai Academic/Technology Research Leader ; Program of Shanghai for Key Clinical Disciplines Construction ; Program of Shanghai for Medical Guide ; Program of Shanghai for Clinical Skill Training and Clinical Practice Innovations
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/49185]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Tian, Jie; Shen, Feng; Li, Jun
作者单位1.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Sch Life Sci & Technol, Minist Educ, Xian, Shanxi, Peoples R China
2.Naval Med Univ, Eastern Hepatobiliary Surg Hosp, Dept Radiotherapy, Shanghai, Peoples R China
3.Sun Yat Sen Univ, Dept Hepatobiliary Oncol, Canc Ctr, Guangzhou, Peoples R China
4.Naval Med Univ, Eastern Hepatobiliary Surg Hosp, Dept Hepat Surg 4, Shanghai, Peoples R China
5.Tongji Univ, Dept Hepatobiliary & Pancreat Surg, Peoples Hosp 10, Shanghai, Peoples R China
6.Beihang Univ, Sch Engn Med, Beijing, Peoples R China
7.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China
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Zhang, Shuaitong,Huang, Shengyu,He, Wei,et al. Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography[J]. ANNALS OF SURGICAL ONCOLOGY,2022:14.
APA Zhang, Shuaitong.,Huang, Shengyu.,He, Wei.,Wei, Jingwei.,Huo, Lei.,...&Li, Jun.(2022).Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography.ANNALS OF SURGICAL ONCOLOGY,14.
MLA Zhang, Shuaitong,et al."Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography".ANNALS OF SURGICAL ONCOLOGY (2022):14.
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