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

doi:10.1016/j.heliyon.2023.e14030

CORC > 自动化研究所 > 中国科学院自动化研究所 > 中国科学院分子影像重点实验室

	Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study
	Zhang, Shuai-Tong 5,6,9; Wang, Si-Yun 8; Zhang, Jie 7; Dong, Di 6; Mu, Wei 5,9; Xia, Xue-er 4; Fu, Fang-Fang 3; Lu, Ya-Nan 2; Wang, Shuo 5,9; Tang, Zhen-Chao 5,9
刊名	HELIYON
	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
DOI	10.1016/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
内容类型	期刊论文
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.Southern Med Univ, Guangdong Prov Peoples Hosp, Dept Oncol, Guangzhou, Guangdong, Peoples R China 2.Zhengzhou Univ, Henan Canc Hosp, Affiliated Canc Hosp, Dept Radiol, Zhengzhou, Henan, Peoples R China 3.Henan Prov Peoples Hosp, Dept Med Imaging, Zhengzhou, Henan, Peoples R China 4.Southern Med Univ, Zhujiang Hosp, Gen Surg Ctr, Dept Gastrointestinal Surg, Guangzhou, Guangdong, Peoples R China 5.Beihang Univ, Key Lab Big Data Based Precis Med, Minist Ind & Informat Technol, Beijing, Peoples R China 6.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 7.Jinan Univ, Zhuhai Hosp, Zhuhai City Peoples Hospital, Dept Radiol, Zhuhai, Guangdong, Peoples R China 8.Southern Med Univ, Guangdong Prov Peoples Hosp, Dept PET Ctr, Guangzhou, Guangdong, Peoples R China 9.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, Beijing, Peoples R China 10.Beijing Inst Technol, Sch Med Technol, Beijing, 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.