Detection of lung hypoperfusion in Covid-19 patients during recovery by digital imaging quantification
Abstract
Purpose
A large number of patients affected by the SARS-Cov-2 virus worldwide undergo recovery of symptoms in about one month. Among these patients, the healing process is still under observation, with some patients in need of careful clinical monitoring. While the radiological findings have been shown to regress almost completely, little knowledge is available at the moment about other complications in the lung and in other organs. We then investigated the lung perfusion conditions in patients affected by COVID-19 during recovery.
Method
We retrospectively studied 20 patients, from 14 to 60 days after resolution of the COVID-19 symptoms, using chest CT. In a subgroup of 5 patients contrasted CT was used. Beside normal radiological evaluation of lung tissue, perfusion conditions were evaluated by digital image processing in the lung volume automatically segmented.
Results
Pulmonary lung evaluation showed that COVID-19 pneumonia almost completely regressed, with mild focal areas affected by fibrous stripes. In patients that reported dyspnea, lung CT showed complete resolution of interstitial changes. Quantification of lung perfusion condition by contrasted CT, showed that dyspnea in 3 patients was associated with areas of hypoperfusion, while in 2 patients not reporting dyspnea perfusion conditions were comparable to normal controls.
Conclusions
Although we obtained preliminary data, this is the first report on quantitative evaluation of hypoperfused lung tissue detected in recovering COVID-19 patients. These results suggest the need to further investigate these patients and to redefine the role of CT evaluation for diagnostic purposes as well as for evaluation of potential treatments.
Funding
This was an academic study that received no direct funding.
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