Id |
Subject |
Object |
Predicate |
Lexical cue |
T3 |
0-10 |
Sentence |
denotes |
Objectives |
T4 |
11-114 |
Sentence |
denotes |
To explore the relationship between the imaging manifestations and clinical classification of COVID-19. |
T5 |
116-123 |
Sentence |
denotes |
Methods |
T6 |
124-208 |
Sentence |
denotes |
We conducted a retrospective single-center study on patients with COVID-19 from Jan. |
T7 |
209-225 |
Sentence |
denotes |
18, 2020 to Feb. |
T8 |
226-251 |
Sentence |
denotes |
7, 2020 in Zhuhai, China. |
T9 |
252-492 |
Sentence |
denotes |
Patients were divided into 3 types based on Chinese guideline: mild (patients with minimal symptoms and negative CT findings), common, and severe-critical (patients with positive CT findings and different extent of clinical manifestations). |
T10 |
493-700 |
Sentence |
denotes |
CT visual quantitative evaluation was based on summing up the acute lung inflammatory lesions involving each lobe, which was scored as 0 (0%), 1 (1–25%), 2 (26–50%), 3 (51–75%), or 4 (76–100%), respectively. |
T11 |
701-776 |
Sentence |
denotes |
The total severity score (TSS) was reached by summing the five lobe scores. |
T12 |
777-824 |
Sentence |
denotes |
The consistency of two observers was evaluated. |
T13 |
825-879 |
Sentence |
denotes |
The TSS was compared with the clinical classification. |
T14 |
880-955 |
Sentence |
denotes |
ROC was used to test the diagnosis ability of TSS for severe-critical type. |
T15 |
957-964 |
Sentence |
denotes |
Results |
T16 |
965-1022 |
Sentence |
denotes |
This study included 78 patients, 38 males and 40 females. |
T17 |
1023-1120 |
Sentence |
denotes |
There were 24 mild (30.8%), 46 common (59.0%), and 8 severe-critical (10.2%) cases, respectively. |
T18 |
1121-1220 |
Sentence |
denotes |
The median TSS of severe-critical-type group was significantly higher than common type (p < 0.001). |
T19 |
1221-1287 |
Sentence |
denotes |
The ICC value of the two observers was 0.976 (95% CI 0.962–0.985). |
T20 |
1288-1392 |
Sentence |
denotes |
ROC analysis showed the area under the curve (AUC) of TSS for diagnosing severe-critical type was 0.918. |
T21 |
1393-1458 |
Sentence |
denotes |
The TSS cutoff of 7.5 had 82.6% sensitivity and 100% specificity. |
T22 |
1460-1471 |
Sentence |
denotes |
Conclusions |
T23 |
1472-1604 |
Sentence |
denotes |
The proportion of clinical mild-type patients with COVID-19 was relatively high; CT was not suitable for independent screening tool. |
T24 |
1605-1718 |
Sentence |
denotes |
The CT visual quantitative analysis has high consistency and can reflect the clinical classification of COVID-19. |
T25 |
1720-1730 |
Sentence |
denotes |
Key Points |
T26 |
1731-1829 |
Sentence |
denotes |
• CT visual quantitative evaluation has high consistency (ICC value of 0.976) among the observers. |
T27 |
1830-1929 |
Sentence |
denotes |
The median TSS of severe-critical type group was significantly higher than common type (p < 0.001). |
T28 |
1930-2057 |
Sentence |
denotes |
• ROC analysis showed the area under the curve (AUC) of TSS for diagnosing severe-critical type was 0.918 (95% CI 0.843–0.994). |
T29 |
2058-2123 |
Sentence |
denotes |
The TSS cutoff of 7.5 had 82.6% sensitivity and 100% specificity. |
T30 |
2124-2262 |
Sentence |
denotes |
• The proportion of confirmed COVID-19 patients with normal chest CT was relatively high (30.8%); CT was not a suitable screening modality |