A comprehensive Indian clinical and imaging Coronary Artery Disease Dataset: ICADD

Background & objectivesCoronary artery disease (CAD) is one of the leading causes of mortality worldwide and contributes significantly to the disease burden in India. The dearth of datasets for Indian patients with CAD is an obstacle to further development and collaborative work in clinical research. The purpose of this study was to create a comprehensive dataset of diagnostic information on CAD in Indian patients. We present Indian Coronary Artery Disease Dataset (ICADD) with CT and invasive FFR data to aid innovation and improvement of non-invasive diagnostic procedures. MethodsThe data was collected in a tertiary care centre in South India. The patients with suspected CAD who underwent coronary CT-angiography (CCTA) and invasive angiography (ICA) with the measurement of fractional flow reserve (FFR) were included in the study. ResultsThe data from 70 patients were collected between April 2018 and Dec 2021. The dataset contains 70 CCTA, 70 ICA scans along with FFR, and echocardiography and haematology reports. It includes 54 (77.14%) male and 16 (22.85%) female patients. The mean age of participants is 50.7{+/-}8.8years. ConclusionsTo the best of our knowledge, ICADD is the first of its kind database in India. This dataset can be used to create a benchmark database, serve as reference for performance and evaluation of clinical utility of novel non-invasive diagnostic methods and additionally serve as a database for clinical research.