Diagnostic performance of CO-RADS for COVID-19: a systematic review and meta-analysis

被引:11
作者
Liu, Guina [1 ,2 ]
Chen, Yuntian [3 ]
Runa, A. [4 ]
Liu, Jiaming [5 ]
机构
[1] Sichuan Univ, West China Hosp, Dept Ophthalmol, Chengdu, Sichuan, Peoples R China
[2] Sichuan Univ, West China Sch Med, Chengdu, Sichuan, Peoples R China
[3] Sichuan Univ, West China Hosp, Dept Radiol, Chengdu, Sichuan, Peoples R China
[4] Sichuan Univ, West China Hosp 2, Dept Obstet & Gynecol, Chengdu, Sichuan, Peoples R China
[5] Sichuan Univ, West China Hosp, Inst Urol, Dept Urol,Lab Reconstruct Urol, Chengdu, Sichuan, Peoples R China
关键词
CO-RADS; COVID-19; Diagnosis; Sensitivity; Specificity; SARS-COV-2; ACCURACY;
D O I
10.1007/s00330-022-08576-y
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objectives To investigate the diagnostic performance of the coronavirus disease 2019 (COVID-19) Reporting and Data System (CO-RADS) for detecting COVID-19. Methods We searched PubMed, EMBASE, MEDLINE, Web of Science, Cochrane Library, and Scopus database until September 21, 2021. Statistical analysis included data pooling, forest plot construction, heterogeneity testing, meta-regression, and subgroup analyses. Results We included 24 studies with 8382 patients. The pooled sensitivity and specificity and the area under the curve (AUC) of CO-RADS >= 3 for detecting COVID-19 were 0.89 (95% confidence interval (CI) 0.85-0.93), 0.68 (95% CI 0.60-0.75), and 0.87 (95% CI 0.84-0.90), respectively. The pooled sensitivity and specificity and AUC of CO-RADS >= 4 were 0.83 (95% CI 0.79-0.87), 0.84 (95% CI 0.78-0.88), and 0.90 (95% CI 0.87-0.92), respectively. Cochran's Q test (p < 0.01) and Higgins I-2 heterogeneity index revealed considerable heterogeneity. Studies with both symptomatic and asymptomatic patients had higher specificity than those with only symptomatic patients using CO-RADS >= 3 and CO-RADS >= 4. Using CO-RADS >= 4, studies with participants aged < 60 years had higher sensitivity (0.88 vs. 0.80, p = 0.02) and lower specificity (0.77 vs. 0.87, p = 0.01) than studies with participants aged > 60 years. Conclusions CO-RADS has favorable performance in detecting COVID-19. CO-RADS >= 3/4 might be applied as cutoff values given their high sensitivity and specificity. However, there is a need for more well-designed studies on CO-RADS.
引用
收藏
页码:4414 / 4426
页数:13
相关论文
共 67 条
[1]   Sex difference in coronavirus disease (COVID-19): a systematic review and meta-analysis [J].
Abate, Biruk Beletew ;
Kassie, Ayelign Mengesha ;
Kassaw, Mesfin Wudu ;
Aragie, Teshome Gebremeskel ;
Masresha, Setamlak Adane .
BMJ OPEN, 2020, 10 (10)
[2]   Diagnosis and treatment of coronavirus disease 2019 (COVID-19): Laboratory, PCR, and chest CT imaging findings [J].
Abbasi-Oshaghi, Ebrahim ;
Mirzaei, Fatemeh ;
Farahani, Farhad ;
Khodadadi, Iraj ;
Tayebinia, Heidar .
INTERNATIONAL JOURNAL OF SURGERY, 2020, 79 :143-153
[3]   Comparison of the CO-RADS and the RSNA chest CT classification system concerning sensitivity and reliability for the diagnosis of COVID-19 pneumonia [J].
Abdel-Tawab, Mohamed ;
Basha, Mohammad Abd Alkhalik ;
Mohamed, Ibrahim A. I. ;
Ibrahim, Hamdy M. ;
Zaitoun, Mohamed M. A. ;
Elsayed, Saeed Bakry ;
Mahmoud, Nader E. M. ;
El Sammak, Ahmed A. ;
Yousef, Hala Y. ;
Aly, Sameh Abdelaziz ;
Khater, Hamada M. ;
Mosallam, Walid ;
Abo Shanab, Waleed S. ;
Hendi, Ali M. ;
Hassan, Sayed .
INSIGHTS INTO IMAGING, 2021, 12 (01)
[4]   Clinical and Laboratory Findings of COVID-19 in High-Altitude Inhabitants of Saudi Arabia [J].
Abdelsalam, Mostafa ;
Althaqafi, Raad M. M. ;
Assiri, Sara A. ;
Althagafi, Taghreed M. ;
Althagafi, Saleh M. ;
Fouda, Ahmed Y. ;
Ramadan, Ahmed ;
Rabah, Mohammed ;
Ahmed, Reham M. ;
Ibrahim, Zein S. ;
Nemenqani, Dalal M. ;
Alghamdi, Ahmed N. ;
Al Aboud, Daifullah ;
Abdel-Moneim, Ahmed S. ;
Alsulaimani, Adnan A. .
FRONTIERS IN MEDICINE, 2021, 8
[5]   Systematic Review and Meta-Analysis on the Value of Chest CT in the Diagnosis of Coronavirus Disease (COVID-19): Sol Scientiae, Illustra Nos [J].
Adams, Hugo J. A. ;
Kwee, Thomas C. ;
Yakar, Derya ;
Hope, Michael D. ;
Kwee, Robert M. .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2020, 215 (06) :1342-1350
[6]   Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases [J].
Ai, Tao ;
Yang, Zhenlu ;
Hou, Hongyan ;
Zhan, Chenao ;
Chen, Chong ;
Lv, Wenzhi ;
Tao, Qian ;
Sun, Ziyong ;
Xia, Liming .
RADIOLOGY, 2020, 296 (02) :E32-E40
[7]  
[Anonymous], 2021, AM J RESP CRIT CARE
[8]   Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT [J].
Bai, Harrison X. ;
Hsieh, Ben ;
Xiong, Zeng ;
Halsey, Kasey ;
Choi, Ji Whae ;
Tran, Thi My Linh ;
Pan, Ian ;
Shi, Lin-Bo ;
Wang, Dong-Cui ;
Mei, Ji ;
Jiang, Xiao-Long ;
Zeng, Qiu-Hua ;
Egglin, Thomas K. ;
Hu, Ping-Feng ;
Agarwal, Saurabh ;
Xie, Fang-Fang ;
Li, Sha ;
Healey, Terrance ;
Atalay, Michael K. ;
Liao, Wei-Hua .
RADIOLOGY, 2020, 296 (02) :E46-E54
[9]   Diagnostic accuracy and interobserver variability of CO-RADS in patients with suspected coronavirus disease-2019: a multireader validation study [J].
Bellini, Davide ;
Panvini, Nicola ;
Rengo, Marco ;
Vicini, Simone ;
Lichtner, Miriam ;
Tieghi, Tiziana ;
Ippoliti, Dea ;
Giulio, Federica ;
Orlando, Elena ;
Iozzino, Mario ;
Ciolfi, Maria Grazia ;
Montechiarello, Sarah ;
d'Ambrosio, Ugo ;
d'Adamo, Emanuele ;
Gambaretto, Chiara ;
Panno, Stefano ;
Caldon, Vanessa ;
Ambrogi, Cesare ;
Carbone, Iacopo .
EUROPEAN RADIOLOGY, 2021, 31 (04) :1932-1940
[10]   Inferred duration of infectious period of SARS-CoV-2: rapid scoping review and analysis of available evidence for asymptomatic and symptomatic COVID-19 cases [J].
Byrne, Andrew William ;
McEvoy, David ;
Collins, Aine B. ;
Hunt, Kevin ;
Casey, Miriam ;
Barber, Ann ;
Butler, Francis ;
Griffin, John ;
Lane, Elizabeth A. ;
McAloon, Conor ;
O'Brien, Kirsty ;
Wall, Patrick ;
Walsh, Kieran A. ;
More, Simon J. .
BMJ OPEN, 2020, 10 (08)