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Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study

文献类型：期刊论文

作者Zhang, Shuai-Tong3,6,11; Wang, Si-Yun5; Zhang, Jie4; Dong, Di3; Mu, Wei6,11; Xia, Xue-er10; Fu, Fang-Fang9; Lu, Ya-Nan1; Wang, Shuo6,11; Tang, Zhen-Chao6,11
刊名HELIYON
出版日期2023-03-01
卷号9期号:3页码:11
关键词Esophageal squamous cell carcinoma PET/CT Lymph node metastasis Artificial intelligence
DOI10.1016/j.heliyon.2023.e14030
通讯作者Qu, Jin-Rong(qjryq@126.com) ; Wang, Mei-Yun(mywang@ha.edu.cn) ; Tian, Jie(jie.tian@ia.ac.cn) ; Liu, Jian-Hua(liujianh80@126.com)
英文摘要Background: This study aimed to develop an artificial intelligence-based computer-aided diagnosis system (AI-CAD) emulating the diagnostic logic of radiologists for lymph node metastasis (LNM) in esophageal squamous cell carcinoma (ESCC) patients, which contributed to clinical treatment decision-making. Methods: A total of 689 ESCC patients with PET/CT images were enrolled from three hospitals and divided into a training cohort and two external validation cohorts. 452 CT images from three publicly available datasets were also included for pretraining the model. Anatomic information from CT images was first obtained automatically using a U-Net-based multi-organ segmentation model, and metabolic information from PET images was subsequently extracted using a gradientbased approach. AI-CAD was developed in the training cohort and externally validated in two validation cohorts. Results: The AI-CAD achieved an accuracy of 0.744 for predicting pathological LNM in the external cohort and a good agreement with a human expert in two external validation cohorts (kappa = 0.674 and 0.587, p < 0.001). With the aid of AI-CAD, the human expert's diagnostic performance for LNM was significantly improved (accuracy [95% confidence interval]: 0.712 [0.669-0.758] vs. 0.833 [0.797-0.865], specificity [95% confidence interval]: 0.697 [0.636-0.753] vs. 0.891 [0.851-0.928]; p < 0.001) among patients underwent lymphadenectomy in the external validation cohorts. Conclusions: The AI-CAD could aid in preoperative diagnosis of LNM in ESCC patients and thereby support clinical treatment decision-making.
WOS关键词NEOADJUVANT CHEMOTHERAPY ; CANCER ; SURGERY ; TOMOGRAPHY ; EFFICIENCY ; PET
WOS研究方向Science & Technology - Other Topics
语种英语
出版者CELL PRESS
WOS记录号WOS:001060009600001
源URL[http://ir.ia.ac.cn/handle/173211/53161]  
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Qu, Jin-Rong; Wang, Mei-Yun; Tian, Jie; Liu, Jian-Hua
作者单位1.Zhengzhou Univ, Henan Canc Hosp, Affiliated Canc Hosp, Dept Radiol, Zhengzhou, Henan, Peoples R China
2.Southern Med Univ, Guangdong Prov Peoples Hosp, Dept Oncol, Guangzhou, Guangdong, Peoples R China
3.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
4.Jinan Univ, Zhuhai Hosp, Zhuhai City Peoples Hospital, Dept Radiol, Zhuhai, Guangdong, Peoples R China
5.Southern Med Univ, Guangdong Prov Peoples Hosp, Dept PET Ctr, Guangzhou, Guangdong, Peoples R China
6.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, Beijing, Peoples R China
7.Beijing Inst Technol, Sch Med Technol, Beijing, Peoples R China
8.Zhengzhou Univ, Henan Canc Hosp, Affiliated Canc Hosp, Dept PET Ctr, Zhengzhou, Henan, Peoples R China
9.Henan Prov Peoples Hosp, Dept Med Imaging, Zhengzhou, Henan, Peoples R China
10.Southern Med Univ, Zhujiang Hosp, Gen Surg Ctr, Dept Gastrointestinal Surg, Guangzhou, Guangdong, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Shuai-Tong,Wang, Si-Yun,Zhang, Jie,et al. Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study[J]. HELIYON,2023,9(3):11.
APA Zhang, Shuai-Tong.,Wang, Si-Yun.,Zhang, Jie.,Dong, Di.,Mu, Wei.,...&Liu, Jian-Hua.(2023).Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study.HELIYON,9(3),11.
MLA Zhang, Shuai-Tong,et al."Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study".HELIYON 9.3(2023):11.

入库方式： OAI收割

来源：自动化研究所

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