| Literature DB >> 34194491 |
Dina M Ali1, Lamiaa G Zake2, Nevine K El Kady3.
Abstract
BACKGROUND: The current global pandemic of COVID-19 is considered a public health emergency. The diagnosis of COVID-19 depends on detection of the viral nucleic acid by real time reverse transcription polymerase chain reaction (RT-PCR). However, false-negative RT-PCR tests are reported and could hinder the control of the pandemic. Chest computed tomography could achieve a more reliable diagnosis and represent a complementary diagnostic tool. AIM: To perform a meta-analysis and systematic review to find out the role of chest computed tomography versus RT-PCR for precise diagnosis of COVID-19 infection.Entities:
Year: 2021 PMID: 34194491 PMCID: PMC8184322 DOI: 10.1155/2021/8798575
Source DB: PubMed Journal: Interdiscip Perspect Infect Dis ISSN: 1687-708X
Figure 1PRISMA flow chart for systematic review of studies identifying chest CT versus RT-PCR.
Characteristics of the included studies.
| Author | Journal | Date (month/year) | Country | Study type |
| Age | Sex | Quality score | Reference |
|---|---|---|---|---|---|---|---|---|---|
| Ai et al. | Radiology | Feb/2020 | China | Retrospective cohort | 1014 | 51 ± 15 | M: 467 (46%) | 10 | [ |
| Fang et al. | Radiology | Feb/2020 | China | Retrospective cohort | 51 | Median: 45 | M: 29 (56.9%) | 10 | [ |
| Xi et al. | Radiology | Feb/2020 | China | Retrospective cohort | 167 | NR | NR | 10 | [ |
| Bernheim et al. | Radiology | Feb/2020 | China | Retrospective cohort | 121 | 45.3 ± 16 | M: 61 (50%) | 12 | [ |
| Wu et al. | Clinical Infectious Diseases | Feb/2020 | China | Retrospective cohort | 80 | Median: 46.1 | M: 39 (48.7%) | 13 | [ |
| Chung et al. | Radiology | Feb/2020 | China | Retrospective cohort | 21 | 51 ± 14 | M: 13 (62%) | 11 | [ |
| Shi et al. | The Lancet Infectious Diseases | Feb/2020 | China | Retrospective cohort | 81 | 49.5 ± 11 | M: 42 (52%) | 11 | [ |
| Yang et al. | Journal of Infection | Feb/2020 | China | Retrospective cohort | 149 | 45.1 ± 13.3 | M: 81 (54.4%) | 12 | [ |
| Guan et al. | New England Journal of Medicine | Feb/2020 | China | Retrospective cohort | 1099 | Median: 47 | M: 639 (58.1%) | 13 | [ |
| Cheng et al. | American Journal of Roentgenology | Feb/2020 | China | Retrospective cohort | 33 | 50.36 ± 15.5 for cases | M: 8 (72.7%) | 10 | [ |
| Huang et al. | The Lancet Infectious diseases | Feb/2020 | China | Prospective cohort | 41 | Median: 40 | M: 30 (73.2%) | 12 | [ |
| Long et al. | European Journal of Radiology | March/2020 | China | Case control study | 87 | 44.8 ± 18.2 for cases | Cases: 36 | 10 | [ |
| Himoto et al. | Japanese Journal of Radiology | March/2020 | Japan | Retrospective cohort | 21 (cases: 6, others: 15) | Median: 58.5 | M: 5 (83.3%) | 10 | [ |
| Zhang et al. | European Respiratory Journal | March/2020 | China | Retrospective cohort | 17 | Median: 48.6 | M: 8 (47%) | 11 | [ |
| Xu et al. | International Journal of Infectious Diseases | March/2020 | China | Retrospective cohort | 51 | NR | M: 25 (49%) | 10 | [ |
| Guan et al. | Academic Radiology | March/2020 | China | Retrospective cohort | 53 | 42 | M: 25 (47.2%) | 10 | [ |
| Caruso et al. | Radiology | April/2020 | Italy | Prospective cohort | 158 | 57 ± 17 | M: 83 (52.5%) | 12 | [ |
| Wang et al. | International Journal of Infectious Diseases | April/2020 | China | Retrospective cohort | 125 | 41.46 ± 15 | M: 71 (56.8%) | 10 | [ |
| Meng et al. | Journal of Infection | April/2020 | China | Retrospective cohort | 58 | 42.6 ± 16.5 | M: 26 (44.8%) | 11 | [ |
| Zhifeng et al. | Journal of Clinical Virology | April/2020 | China | Retrospective cohort | 69 | Range (23–82) | M: 41 (59.4%) | 9 | [ |
| Xia et al. | Journal of Clinical Virology | April/2020 | China | Retrospective cohort | 10 | 56.5 ± 11.16 | M: 4 (40%) | 10 | [ |
| Dai et al. | International Journal of Infectious Diseases | April/2020 | China | Retrospective cohort | 234 | 44.6 ± 14.8 | M: 136 (58.1%) | 12 | [ |
| Ding et al. | European Journal of Radiology | April/2020 | China | Retrospective cohort | 112 | 55.8 ± 16.1 | M: 51 (45.5%) | 11 | [ |
| Hu et al. | European Journal of Radiology | April /2020 | China | Retrospective cohort | 46 | 39.2 ± 9.6 Range (23–60) | M: 27 (58.7%) | 10 | [ |
| Wang et al. | Clinical Radiology | May/2020 | China | Retrospective cohort | 114 | Median: 53 | M: 56 (49.1%) | 11 | [ |
| Li et al. | Journal of Clinical Virology | June/2020 | China | Retrospective cohort | 225 | 50 ± 14 | M: 120 (53.3%) | 10 | [ |
N = number of cases; NR = not reported; M = male; F = female.
Characteristics of the included case reports and case series.
| Author | Journal | Date (month/year) | Country | Study design |
| Age | Sex | Reference |
|---|---|---|---|---|---|---|---|---|
| Burhan et al. | Indonesian Journal of Internal Medicine | Jan/2020 | Indonesia | Case report | 1 | 47 y male | M:1 (100%) | [ |
| Li et al. | Korean Journal of Radiology | Feb/2020 | China | Case report | 2 | 36 y male, 10 mon. boy | M:2 (100%) | [ |
| Haung et al. | Radiology | Feb/2020 | China | Case report | 1 | 36 y | M:1 (100%) | [ |
| Hao et al. | Travel Medicine and Infectious Diseases | March/2020 | China | Case report | 1 | 56 y | M:1(100%) | [ |
| Xu et al. | Clinical Infectious Diseases | March/2020 | China | Case report | 3 | 52.3 ± 11 | F: 3 (100%) | [ |
| Park et al. | Journal of Korean Medical Science | March/2020 | Korea | Case report | 1 | 10 years | F: 1 (100%) | [ |
| Dou et al. | European Journal of Radiology | March/2020 | China | Case report | 2 | 56 y male | M: 1 (50%) | [ |
| Bhat et al. | Current Problems in Diagnostic Radiology | April/2020 | USA | Case series | 8 | 54.5 ± 11.5 | M: 6 (80%) | [ |
| Lescure et al. | Lancet Infectious Diseases | March/2020 | France | Case series | 5 | Median: 46 | M: 3 (60%) | [ |
mon = month; N = number of cases; y = years; M = male; F = female.
Performance of chest CT for COVID-19 infection compared to RT-PCR.
| Author | TP | TN | FP | FN | Sensitivity (95% CI) | Specificity (95% CI) | PPV (95% CI) | NPV (95% CI) | Reference |
|---|---|---|---|---|---|---|---|---|---|
| Ai et al. | 580 | 105 | 308 | 21 | 97% (95–98) | 25% (22–30) | 65% (62–68) | 83% (76–89) | [ |
| Fang et al. | 50/51 | 0 | 0 | 1/51 | 98% (90–100) | — | — | — | [ |
| Xie et al. | 155/167 | 0 | 5/167 | 7/167 | 95.68% (91–98) | — | — | — | [ |
| Long et al. | 35/36 | 0 | 0 | 1/36 | 97.2% (85.4–99.9) | — | — | — | [ |
| Chung et al. | 18/21 | 0 | 0 | 3/21 | 85.7% (64 to 97) | — | — | — | [ |
| Bernheim et al. | 94/121 | 0 | 0 | 27/121 | 77.6% (69 to 85) | — | — | — | [ |
| Himoto et al. | 6/6 | 0 | 15/21 | 0 | 100% (54–100) | — | — | — | [ |
| Zhang et al. | 17/17 | 0 | 0 | 0 | 100% (80–100) | — | — | — | [ |
| Caruso et al. | 60 | 54 | 42 | 2 | 97% (89–99) | 56% (45–66) | 59% (53–64) | 96% (87–99) | [ |
| Wang et al. | 120/125 | 0 | 0 | 5/125 | 96% (91–98) | — | — | — | [ |
| Wang et al. | 110/114 | 0 | 0 | 4/114 | 96.4% (91–99) | — | — | — | [ |
| Shi et al. | 81/81 | 0 | 0 | 0 | 100% (95–100) | — | — | — | [ |
| Yang et al. | 132/149 | 0 | 0 | 17/149 | 88.5% (82–93) | — | — | — | [ |
| Guan et al. | 869/1099 | 0 | 0 | 230/1099 | 79% (76–81) | — | — | — | [ |
| Guan et al. | 47/53 | 0 | 0 | 6/53 | 88.6% (77–96) | — | — | — | [ |
| Meng et al. | 58/58 | 0 | 0 | 0 | 100% (94–100) | — | — | — | [ |
| Cheng et al. | 11/11 | 0 | 0 | 0 | 100% (71–100) | — | — | — | [ |
| Huang et al. | 41/41 | 0 | 0 | 0 | 100% (91–100) | — | — | — | [ |
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| Zhifeng et al. | NR | NR | NR | NR | 12% (4.6–24.3) | 100% (82–100) | — | — | [ |
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| Li et al. | 225/225 | 0 | 0 | 0 | 100% (98–100) | — | — | — | [ |
| Wu et al. | 55/80 | 0 | 0 | 25/80 | 68.7% (57–78) | — | — | — | [ |
| Xu et al. | 39/51 | 0 | 0 | 12/51 | 76.5% (62–87) | — | — | — | [ |
| Xia et al. | 10/10 | 0 | 0 | 0 | 100% (69–100) | — | — | — | [ |
| Dai et al. | 219/234 | 0 | 0 | 15/234 | 93.6% (89.6–96.3) | — | — | — | [ |
| Ding et al. | 95/112 | 0 | 0 | 17/112 | 85% (76.81–90.9) | — | — | — | [ |
| Hu et al. | 44/46 | 0 | 0 | 2/46 | 95.6% (85–99.4) | — | — | — | [ |
TP = true positive; TN = true negative; FP = false positive; FN = false negative; PPV = positive predictive value; NPV = negative predictive value, NR = not reported.
Figure 2Forest plot showing chest CT sensitivity (95% CI) for all included studies.