17 November 2020>: Clinical Research
Correlation Between Quantitative Assessment of Chest Computed Tomography (CT) Imaging and Prognosis of COVID-19 Patients
Rongrong Liu 1ABCDE* , Guangqiang Chen 2ACEF* , Yi Zhu 1BCDE , Jing Liu 1ABDE , Wei Tang 3BD , Jianbing Zhu 4ACDE* , Min Li 1ABCDE*DOI: 10.12659/MSM.925183
Med Sci Monit 2020; 26:e925183
Table 4 Radiographic disease progression by disease pattern.
Pattern | No. of patients | Mean age (yr) | Disease parameters (days) | ||
---|---|---|---|---|---|
Peak | 25% improvement | PIT25 | |||
A: Obvious improvement | 56 | 47.4±14.1 | 10.8±4.9 (n=56) | 14.2±5.1 (n=56) | 4.3±0.7 (n=56) |
B: Unobvious improvement | 12 | 49.8±8.0 | 13.2±4.8 (n=12) | 19.2±5.0 (n=12) | 6.8±1.4 (n=12) |
PIT – the peak to 25% improvement time. |