Fei Chen

Dr. Fei Chen


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 December 2022 in Computers in Biology and Medicine
Verified
Journal Article
Closed access
HGHaifan Gong
Haifan Gong
JCJiaxin Chen
Jiaxin Chen
GCGuanqi Chen
Guanqi Chen
HLHaofeng Li
Haofeng Li
GLGuanbin Li
Guanbin Li
FCFei Chen
Fei Chen

16 September 2022
Verified
Book Chapter
Closed access
PDF file
HGHaifan Gong
Haifan Gong
HCHui Cheng
Hui Cheng
YXYifan Xie
Yifan Xie
STShuangyi Tan
Shuangyi Tan
GCGuanqi Chen
Guanqi Chen
GLGuanbin Li
Guanbin Li

15 January 2022 in Computational and Mathematical Methods in Medicine
Verified
Journal Article
Open access
PDF file
FCFei Chen
Fei Chen
YSYungang Sun
Yungang Sun
GCGuanqi Chen
Guanqi Chen
YLYuqian Luo
Yuqian Luo
GXGuifang Xue
Guifang Xue
QLQiang Li
Qiang Li
Background. This study is aimed at evaluating the diagnostic efficacy of ultrasound-based risk stratification for thyroid nodules in the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) and the American Thyroid Association (ATA) risk stratification systems. Methods. 286 patients with thyroid cancer were included in the tumor group, with 259 nontumor cases included in the nontumor group. The ACR TI-RADS and ATA risk stratification systems assessed all thyroid nodules for malignant risks. The diagnostic effect of ACR and ATA risk stratification system for thyroid nodules was evaluated by receiver operating characteristic (ROC) analysis using postoperative pathological diagnosis as the gold standard. Results. The distributions and mean scores of ACR and ATA rating risk stratification were significantly different between the tumor and nontumor groups. The lesion cm subgroup had higher malignant ultrasound feature rates detected and ACR and ATA scores. A significant difference was not found in the ACR and ATA scores between patients with or without Hashimoto’s disease. The area under the receiver operating curve (AUC) for the ACR TI-RADS and the ATA systems was 0.891 and 0.896, respectively. The ACR had better specificity (0.90) while the ATA system had higher sensitivity (0.92), with both scenarios having almost the same overall diagnostic accuracy (0.84). Conclusion. Both the ACR TI-RADS and the ATA risk stratification systems provide a clinically feasible thyroid malignant risk classification, with high thyroid nodule malignant risk diagnostic efficacy.

30 January 2019
Verified
Journal Article
Closed access
FCFei Chen
Fei Chen
HWHongjuan Wang
Hongjuan Wang
QLQiang Li
Qiang Li
ZLZhichao Li
Zhichao Li
YLYuqian Luo
Yuqian Luo