 Hello everyone. My name is Dr. Nathanshu Jain. I'm from the Department of Radio Diagnosis at Tithankar Mahavir Medical College, Muradabad. I'm here to present my paper on the topic of radiological imaging pattern and its clinical outcome correlation in COVID-19 patients. The aim of my study was to assess relationship between radiological imaging pattern and QSOFA assessment scale in COVID-19 patients. The objectives were to evaluate the relationship between radiological imaging pattern and the clinical outcomes based upon the QSOFA assessment scale in COVID-19 patients. Another objective was to establish a relation between density pattern, which is ground glass opacities, crazy waving or consolidation pattern, observed on HRCT thorax and its course of hospital stay in COVID-19 patients. Since we all know that since the latter part of December 2019, severe acute respiratory syndrome coronavirus 2 has become a global pandemic. Early identification and the risk of adverse outcomes remains a key to optimize the management and improve the survival. Although the diagnosis is made by positive RT-PCR test, which is highly specific. However, CT has a higher sensitivity but lower specificity. The hallmark of the COVID-19 imaging are multifocal, bilateral and peripheral distribution of ground glass opacities with or without consolidation. But the predominant findings in later phase includes consolidation, linear opacities, crazy paving pattern, reverse halo sign and vascular enlargement. And as we all know, the CT severity score can be estimated by scoring the percentages of each of the five lobes that is involved. If the involvement of the lung is less than 5%, the score is 1. If it is from 5 to 25%, the score is 2. 26 to 49% involvement is score 3. 50 to 75% involvement is score 4. And more than 75% lung involvement is score 5. If the score is equal to or less than 8, it comes in the mild category. If the score is 9 to 15, it comes in the moderate category. And if the score is equal to or more than 16, it comes in the severe category. So, in QSOFA, the parameters included are Glasgow Coma Scale, TACNIA, which is the respiratory rate of more than 22, more than or equal to 22, and Hypertension, which is the Stolic BP less than 100 millimeter of mercury. And each of these parameters are given one score. So, in this retrospective cohort study, we enrolled 30 RT-PCR positive COVID-19 patients and that were admitted and tweeted at TMU Hospital Muradabad. The inclusion criteria were moderate and severe category of COVID-19 patients based on their CT severity score. And exclusion criteria were asymptomatic patients, mild category of COVID-19 patients based on their CT severity score and pre-existing lung disease. Ethical approval was obtained for the study from the ethics committee and QSOFA was assessed for all the patients based on their clinical parameters. So, these are the results of my study. Out of the 30 patients that were included, 11 came in the moderate category and 19 were in the severe category. Out of the 11 patients in moderate category, three had score zero, five had to score one, three had score two. And out of which two patients had comorbidities, four patients had age more than 40 years and two of them had mortality. Now, coming to the density pattern on these patients, out of these 11 patients in the moderate category, five patients showed down-loss opacities, four patients showed a crazy paving pattern out of which one has come to the COVID-19 disease, and then two patients showed consolidation out of which the mortality scene was in one patient. These are the images of two different cases in moderate category. This is a classical crazy paving pattern in bilateral lung fields on HRCT thorax on axial view. And this is the HRCT thorax of another patient showing predominantly consolidation in bilateral lung fields. Coming to severe category, out of the 19 patients that they were included in the study, in the severe category of the study, two patients had zero q-sofa score, four patients had one score, seven patients had two score, and six patients had three score. The comorbidities were present in four patients, aged more than 40 years were seen in six patients, and mortality was seen in among seven patients. So in three patients, crazy paving pattern was seen predominantly out of which mortality was seen in one patient, and the 16 patients showed consolidation out of which mortality was seen in six patients. These are two different cases which belong to the severe category of COVID-19 according to the CT severity score. This is the HRCT thorax axial section which shows consolidation predominantly in bilateral lower lobes, and the CT severity score of this patient was 22 by 25, and q-sofa score was two in a patient less than 40 years of age. This is another patient of more than 40 years of age. This is the HRCT thorax which shows consolidation in bilateral lower lobes predominantly in peripheral region. The patient had a CT severity score of 19 by 25. The patient was hypertensive and mortality was seen in this patient. Coming to the discussion, early identification of patients at the risk of progression may facilitate more individually aligned treatment plans and optimized utilization of medical resources. By the means of our study, we concluded that RTPCR positive COVID-19 patients with q-sofa score more than or equal to two are more prone to morbidity and mortality. We also observed that the patients with predominantly consolidation pattern on HRCT thorax are likely predictive of worse prognosis whether or not in the severe category. While the RTPCR is diagnostic for COVID-19, HRCT thorax is still effective in the early assessment of triage of patient and predicting the prognosis of morbidity and mortality based on the q-sofa and density pattern. Thank you.