Curofy
Dr. Monali Chugh (Pulmonology) needs a second opinion on this medical case.
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a new virus recently isolated from humans. SARS-CoV-2 was discovered to be the pathogen responsible for a cluster of pneumonia cases associated with severe respiratory disease that occurred in December 2019 in China. This CXR scoring system is a simple five-point grading tool that was proposed in 2015, and it was designed for non-radiologist clinicians. The goal of this scoring system was to facilitate the clinical grading of CXR reports into five different severity categories in hospitalized patients with acute respiratory infection. Our CXR scoring system for COVID-19 pneumonia (which we named Brixia score) includes two steps of image analysis. In the first step, the lungs are divided into six zones on frontal chest projection Upper zones (A and D): above the inferior wall of the aortic arch Middle zones (B and E): below the inferior wall of the aortic arch and above the inferior wall of the right inferior pulmonary vein (i.e., the hilar structures) Lower zones (C and F): below the inferior wall of the right inferior pulmonary vein (i.e., the lung bases) In the second step, a score (from 0 to 3) is assigned to each zone based on the lung abnormalities detected on frontal chest projection as follows Score 0 no lung abnormalities Score 1 interstitial infiltrates Score 2 interstitial and alveolar infiltrates (interstitial predominance) Score 3 interstitial and alveolar infiltrates (alveolar predominance) All statistical analyses were performed using commercial software (MedCalc Statistical Software version 19, Ostend, Belgium). P-values of less than 0.05 were considered statistically significant. In conclusion, we consider this scoring tool to be very promising due to its ability to provide, in a very clear and straightforward way, relevant information for clinicians by enhancing the role of radiologists in this long and tiring battle against this new viral pneumonia. To read more- https://link.springer.com/article/10.1007%2Fs11547-020-01200-3
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