To the Editor in Chief We read with great interest the recently published study by Komurcuoglu et al.,1 “Correlation between chest CT severity scores and clinical and biochemical parameters of COVID-19 pneumonia.” This study aims to summarize the correlation between thoracic high-resolution computerized tomography (HRCT) severity scores and clinical and biochemical parameters in patients who tested positive for COVID-19. The authors should be commended for their efforts in evaluating clinical and biochemical parameters with HRCT findings of COVID-19 in such a large population. We agree that semiquantitative radiological scoring systems might be helpful for radiologists in detecting and classifying medical images by discovering hidden patterns and abnormal conditions. In the era of personalized medicine, potentially more accurate methods for the imaging characterization of a specific disease, beyond “classical” risk factors and stage, are doubtless attractive.
Correlation among semiquantitative High‐Resolution Computed Tomography severity scores and clinical and biochemical parameters in COVID‐19, is it really effective? / Zanon, Chiara; Cabrelle, Giulio; Crimì, Filippo; Quaia, Emilio. - In: THE CLINICAL RESPIRATORY JOURNAL. - ISSN 1752-6981. - (2023). [10.1111/crj.13567]
Correlation among semiquantitative High‐Resolution Computed Tomography severity scores and clinical and biochemical parameters in COVID‐19, is it really effective?
Chiara Zanon
;
2023
Abstract
To the Editor in Chief We read with great interest the recently published study by Komurcuoglu et al.,1 “Correlation between chest CT severity scores and clinical and biochemical parameters of COVID-19 pneumonia.” This study aims to summarize the correlation between thoracic high-resolution computerized tomography (HRCT) severity scores and clinical and biochemical parameters in patients who tested positive for COVID-19. The authors should be commended for their efforts in evaluating clinical and biochemical parameters with HRCT findings of COVID-19 in such a large population. We agree that semiquantitative radiological scoring systems might be helpful for radiologists in detecting and classifying medical images by discovering hidden patterns and abnormal conditions. In the era of personalized medicine, potentially more accurate methods for the imaging characterization of a specific disease, beyond “classical” risk factors and stage, are doubtless attractive.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


