Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
| Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography | |
Zhang, Shuaitong1,2 ; Huang, Shengyu3,4; He, Wei5; Wei, Jingwei1; Huo, Lei6; Jia, Ningyang6; Lin, Jianbo3,4; Tang, Zhenchao7; Yuan, Yunfei6; Tian, Jie1,2,7; Shen, Feng4; Li, Jun3,4
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| Source Publication | ANNALS OF SURGICAL ONCOLOGY
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| ISSN | 1068-9265 |
| 2022-07-04 | |
| Pages | 14 |
| Corresponding Author | Tian, Jie(jie.tian@ia.ac.cn) ; Shen, Feng(shenfengehbh@sina.com) ; Li, Jun(lijundfgd1@163.com) |
| Abstract | 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. |
| DOI | 10.1245/s10434-022-12028-8 |
| WOS Keyword | LYMPHADENECTOMY ; MANAGEMENT ; NOMOGRAM |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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] |
| Funding Organization | 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 |
| WOS Research Area | Oncology ; Surgery |
| WOS Subject | Oncology ; Surgery |
| WOS ID | WOS:000820535000005 |
| Publisher | SPRINGER |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/49186 |
| Collection | 中国科学院分子影像重点实验室 |
| Corresponding Author | Tian, Jie; Shen, Feng; Li, Jun |
| Affiliation | 1.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China 2.Beihang Univ, Sch Engn Med, Beijing, Peoples R China 3.Tongji Univ, Dept Hepatobiliary & Pancreat Surg, Peoples Hosp 10, Shanghai, Peoples R China 4.Naval Med Univ, Eastern Hepatobiliary Surg Hosp, Dept Hepat Surg 4, Shanghai, Peoples R China 5.Sun Yat Sen Univ, Dept Hepatobiliary Oncol, Canc Ctr, Guangzhou, Peoples R China 6.Naval Med Univ, Eastern Hepatobiliary Surg Hosp, Dept Radiotherapy, Shanghai, Peoples R China 7.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Sch Life Sci & Technol, Minist Educ, Xian, Shanxi, Peoples R China |
| First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Corresponding Author Affilication | Institute of Automation, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | 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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