 Good afternoon, everyone. My name is Dr. Ramanjeeb Singh. I am final year PG resident at Mulana Azad Medical College. The title of my study is Correlation of high-resolution CT severity score with pulmonary function tests in patients with interstitial lung diseases. Interstitial lung diseases represent a heterogeneous group of diffuse parenchyma lung diseases with variable etiologies, clinical features and radiological patterns and is challenging to diagnose. Chest HRCT is currently the gold standard technique for the diagnosis of ILDs. Pulmonary function testing is often used in management of patients with ILDs. The pattern of lung function impairments helps to assess the severity of lung involvement. Only a few studies were conducted in past to correlate HRCT severity with pulmonary functions. The aim of our study was to correlate HRCT severity score with pulmonary function tests in patients with interstitial lung diseases. The study was conducted in Department of Radiodiagnosis at Mulana Azad Medical College and associated Lok Naik Hospital, New Delhi. The patients more than 18 years of age referred from Department of Pulmonary Medicine were taken and it was a cross-sectional study conducted over a period of 12 months and 25 patients were included in our study. Our inclusion criteria was patients more than 18 years of either sex with a provisional diagnosis of interstitial lung disease, either clinically or on previous HRCT chest. Exclusion criteria were all patients of congestive cardiac failure, primary pulmonary hypertension, pulmonary tuberculosis or pulmonary neoplasia. Patients who are unable to perform spirometry, pregnant ladies and acute exacerbation of interstitial lung diseases. Chest HRCT examination was performed by using a 128 slice MD CT scanner at full inspiration in the supine position at 120 kV. Axial images of lung parenchyma were acquired followed by coronal and societal reformations in the lung window. No IV contrast material was used and the parenchyma abnormalities on HRCT were identified and scored according to the VARIC score. The VARIC scoring system includes ground glass opiates which was given the score of 1, irregular pleura, interlobular septal thickening or sub pleural lines, honey combings and sub pleural cysts and these 5 parameters were given the score accordingly as shown in this table. And the number of lung segments involved by these abnormalities were also considered and given the score accordingly. To accurately correlate the results, the scores obtained at HRCT assessment were expressed as a semi quantitative scoring. Mild disease was considered when the score was less than 8 while severe disease was considered when more than 15 points were there. These are the represented tatum, axial and coronal reformatted images in lung window of patients with UIP pattern of interstitial lung disease. Forced vital capacity, forced expiratory volume in first second and ratio of FEV1 over FVC were calculated using a spirometer. Values were obtained while the patient exerted his maximum effort to avoid any expected error in the diagnosis. The data collected were statistically evaluated using SPSS version 25. Quantitative data were expressed in mean and standard deviation while qualitative data were expressed in percentages. Pearson or Spearman correlation coefficient was used to correlate between quantitative parameters and P value of less than 0.05 was considered statistically significant. Now coming to the results of our study, majority of patients were below the age of 60 years and the mean age of patients was 48.28 years. HRCT varix score parameters in ILD patients found in our study were The most common was interlobal septal thickening seen in 96% of the patients, followed by ground glass opacity seen in 60% of the patients, followed by honey combing seen in 44% and irregular pleura and sub pleura cyst were seen in 32% and 4% of the patients respectively. UIP and NSIP were the predominant HRCT patterns in ILD patients in our study. Hypersensitivity pneumonitis, sarcoidosis and early UIP pattern were seen in one patient each. Based on varix score, the patients were categorized as having mild, moderate and severe disease. Most of the patients in our study were having moderate disease and 5 of the patients were having severe disease. The mean of forced vital capacity was 1.36, forced expiratory volume and first second was 1.15 and their ratio was 87.96. Now coming to correlation of HRCT findings with pulmonary function tests. FVC was negatively correlated when compared to varix score and this correlation was statistically significant with correlation coefficient of minus 0.94 with p value of 0. Similarly, FEV1 was also negatively correlated with varix score while FEV1 over FVC ratio was positively correlated with varix score and this correlation was again statistically significant. This is the scatter plot showing correlation between FVC and varix score. Here we can see the negative correlation between the two. There was significant negative association with p value of less than 0.05 between severity based on HRCT and pulmonary function test parameters of forced vital capacity and FEV1. That is, as the varix score increases, there was decrease in FVC and FEV1. The study included 25 adult patients of ILD with a mean age of 48.2 at years and male to female ratio of 2 is to 3. Majority of patients had moderate disease on HRCT, mean FVC was 1.36 and we found significant negative association with p value of less than 0.05 between severity based on HRCT and FVC. To conclude, HRCT not only helps in diagnosis but also helps in severity grading of interstitial lung diseases and showed a significant correlation with PFT parameters. Hence, it can be used to grade the disease severity and thus helps in determining patient's prognosis especially when the patient is not able to perform pulmonary function tests. These are my references. Thank you.