Abstract:

Objective To comprehensively analyze the consistency and inconsistency of CT manifestations of lung lesions and the dynamic evolution of lymphocyte count in patients with new coronavirus pneumonia (coronavirus disease 2019, COVID-19). Methods A retrospective collection of 17 patients who were diagnosed with novel coronavirus pneumonia by nucleic acid testing in our hospital from January 28, 2019 to April 11, 2020, all of them were of ordinary type. Collect the first and follow-up CT examinations (110 times in total) and the lymphocyte count (LC) of peripheral blood (145 times in total). Use a computer to automatically segment the lesion and calculate the lesion quality (LQ). The LC and LQ of each patient were divided by the maximum value in the entire course of the patient, and standardized to the interval (0,1). Taking the patient’s first symptom as the first day, the dynamic changes of LC and LQ of each patient were drawn, and the moving weighted average method was used to fit the change trend, and the consistency and inconsistency of imaging and lymphocyte changes were described. Results The changes in LC and LQ of each patient were plotted. Using the moving weighted average method to fit, the lowest value of LC was calculated at (5.294±3.820) days (days 1-12), and the peak of LQ was at (9.589±3.203) days (days 5-16). There was a significant difference between the two (t=7.170, P<0.05); the median number of days for LC to returning to normal level was 19 days (15 to 42 days). On the 1st to 5th days of the disease course, the lesion progresses rapidly, LC decreases, and LQ rises rapidly; on the 6th to 10th days, the lesion progresses slowly, and LC begins to recover, and LQ slows down; on the 11th to 22nd days, LC continues to rise to the normal level, LQ declined rapidly, and there was a significant negative correlation between the two (r=-0.764, P=0.002); after 22 days, LC was close to or maintained at a normal level, and LQ remains at a low level. Conclusion The lymphocyte count of patients with novel coronary pneumonia decreased earlier than the maximum lesion area.

Key words: Coronavirus disease 2019 (COVID-19), Tomography,X-ray computer, Lesion quality, Lymphocyte count, Data interpretation, statistical