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Start Over Author "Jiang, Fan" Publisher elsevier b.v.
429 results on '"Jiang, Fan"'

25. Genomes of the cosmopolitan fruit pest Bactrocera dorsalis (Diptera: Tephritidae) reveal its global invasion history and thermal adaptation

Author

Zhang, Yue, Liu, Shanlin, De Meyer, Marc, Liao, Zuxing, Zhao, Yan, Virgilio, Massimiliano, Feng, Shiqian, Qin, Yujia, Singh, Sandeep, Wee, Suk Ling, Jiang, Fan, Guo, Shaokun, Li, Hu, Deschepper, Pablo, Vanbergen, Sam, Delatte, Hélène, van Sauers-Muller, Alies, Syamsudin, Tati Suryati, Kawi, Anastasia Priscilla, Kasina, Muo, Badji, Kemo, Said, Fazal, Liu, Lijun, Zhao, Zihua, and Li, Zhihong

Published
2023
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37. Effectiveness of one-week internet-delivered cognitive behavioral therapy for insomnia to prevent progression from acute to chronic insomnia: A two-arm, multi-center, randomized controlled trial

Author

Yang, Lulu, Zhang, Jihui, Luo, Xian, Yang, Yuan, Zhao, Yuhan, Feng, Fei, Liu, Shuai, Zhang, Chenxi, Li, Zhe, Wang, Chao, Wang, Wei, Jiang, Fan, Zhang, Yunshu, Hu, Yuanyuan, Su, Changjun, Wu, Huijuan, Yu, Huan, Li, Shirley Xin, Wing, Yun Kwok, Luo, Ying, and Zhang, Bin

Published
2023
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50. Diagnostic Performance of Fractional Flow Reserve Derived From Coronary CT Angiography: The ACCURATE-CT Study.

Author

Li, Changling, Hu, Yumeng, Jiang, Jun, Dong, Liang, Sun, Yong, Tang, Lijiang, Du, Changqing, Yin, Da, Jiang, Wenbing, Leng, Xiaochang, Jiang, Fan, Pan, Yibin, Jiang, Xuejun, Zhou, Zhong, Koo, Bon-Kwon, Xiang, Jianping, and Wang, Jian'an

Abstract

AccuFFRct (ArteryFlow Technology) is a novel noninvasive method for calculating fractional flow reserve (FFR) from coronary computed tomography angiography (CCTA). The accuracy of AccuFFRct has not been adequately assessed. This study sought to evaluate the diagnostic performance of AccuFFRct in detecting lesion-specific ischemia. This prospective study enrolled 339 patients with 404 vessels. CCTA-derived FFR was calculated using an on-site computational fluid dynamics–based method and compared with invasive FFR. The performance of AccuFFRct was comprehensively analyzed in all lesions and subgroups, including "gray zone" lesions, various lesion classifications, clinical presentations, stenosis severities, and lesion locations. Using FFR ≤0.80 as a reference standard, the overall diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value for AccuFFRct were 90.6% (95% CI: 87.3%-93.3%), 90.9% (95% CI: 85.1%-94.9%), 90.4% (95% CI: 86.1%-93.8%), 85.3% (95% CI: 79.8%-89.5%), and 94.2% (95% CI: 90.8%-96.4%), respectively. Good correlation and agreement were found between the computed AccuFFRct and measured FFR. AccuFFRct showed superior discrimination ability to CCTA (AUC: 0.93 [95% CI: 0.89-0.95] vs 0.77 [95% CI: 0.72-0.81]; P < 0.001) and quantitative coronary angiography (AUC: 0.93 [95% CI: 0.89-0.95] vs 0.89 [95% CI: 0.85-0.92]; P = 0.048) for identifying functionally significant stenosis. Notably, AccuFFRct maintained high diagnostic accuracy across the spectrum of lesion classifications, clinical presentations, stenosis severities, lesion locations, and in the "gray zone". Furthermore, in the cohort with ≥70% stenosis, AccuFFRct could significantly reduce the rate of un-necessary invasive tests (33.1% vs 6.6%; P < 0.001). The study confirms the potential of AccuFFRct as a noninvasive alternative to invasive FFR for detecting ischemia in coronary artery disease and to risk stratify patients. The results highlight AccuFFRct's robust diagnostic ability across a wide range of lesion classifications, clinical presentations, stenosis severities, lesion locations, and in the "gray zone". (Diagnostic Performance of Fractional Flow Reserve Derived From Coronary CT Angiography [ACCURATE-CT]; NCT04426396) [Display omitted] [ABSTRACT FROM AUTHOR]

Published
2024
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