tetano
Editor, Senior Moderator
J Clin Med
. 2023 Nov 15;12(22):7115.
doi: 10.3390/jcm12227115. Imagistic Findings Using Artificial Intelligence in Vaccinated versus Unvaccinated SARS-CoV-2-Positive Patients Receiving In-Care Treatment at a Tertiary Lung Hospital
Alexandru Stoichita[SUP] 1 2 [/SUP], Maria Ghita[SUP] 3 4 [/SUP], Beatrice Mahler[SUP] 1 2 [/SUP], Silviu Vlasceanu[SUP] 1 2 [/SUP], Andreea Ghinet[SUP] 2 [/SUP], Madalina Mosteanu[SUP] 2 5 [/SUP], Andreea Cioacata[SUP] 2 [/SUP], Andreea Udrea[SUP] 6 [/SUP], Alina Marcu[SUP] 6 [/SUP], George Daniel Mitra[SUP] 6 [/SUP], Clara Mihaela Ionescu[SUP] 3 7 [/SUP], Adriana Iliesiu[SUP] 1 8 [/SUP]
Affiliations
Background: In December 2019 the World Health Organization announced that the widespread severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection had become a global pandemic. The most affected organ by the novel virus is the lung, and imaging exploration of the thorax using computer tomography (CT) scanning and X-ray has had an important impact.
Materials and methods: We assessed the prevalence of lung lesions in vaccinated versus unvaccinated SARS-CoV-2 patients using an artificial intelligence (AI) platform provided by Medicai. The software analyzes the CT scans, performing the lung and lesion segmentation using a variant of the U-net convolutional network.
Results: We conducted a cohort study at a tertiary lung hospital in which we included 186 patients: 107 (57.52%) male and 59 (42.47%) females, of which 157 (84.40%) were not vaccinated for SARS-CoV-2. Over five times more unvaccinated patients than vaccinated ones are admitted to the hospital and require imaging investigations. More than twice as many unvaccinated patients have more than 75% of the lungs affected. Patients in the age group 30-39 have had the most lung lesions at almost 69% of both lungs affected. Compared to vaccinated patients with comorbidities, unvaccinated patients with comorbidities had developed increased lung lesions by 5%.
Conclusion: The study revealed a higher percentage of lung lesions among unvaccinated SARS-CoV-2-positive patients admitted to The National Institute of Pulmonology "Marius Nasta" in Bucharest, Romania, underlining the importance of vaccination and also the usefulness of artificial intelligence in CT interpretation.
Keywords: SARS-CoV-2; artificial intelligence; image interpretation; lung lesion; vaccination.
. 2023 Nov 15;12(22):7115.
doi: 10.3390/jcm12227115. Imagistic Findings Using Artificial Intelligence in Vaccinated versus Unvaccinated SARS-CoV-2-Positive Patients Receiving In-Care Treatment at a Tertiary Lung Hospital
Alexandru Stoichita[SUP] 1 2 [/SUP], Maria Ghita[SUP] 3 4 [/SUP], Beatrice Mahler[SUP] 1 2 [/SUP], Silviu Vlasceanu[SUP] 1 2 [/SUP], Andreea Ghinet[SUP] 2 [/SUP], Madalina Mosteanu[SUP] 2 5 [/SUP], Andreea Cioacata[SUP] 2 [/SUP], Andreea Udrea[SUP] 6 [/SUP], Alina Marcu[SUP] 6 [/SUP], George Daniel Mitra[SUP] 6 [/SUP], Clara Mihaela Ionescu[SUP] 3 7 [/SUP], Adriana Iliesiu[SUP] 1 8 [/SUP]
Affiliations
- PMID: 38002725
- PMCID: PMC10672398
- DOI: 10.3390/jcm12227115
Background: In December 2019 the World Health Organization announced that the widespread severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection had become a global pandemic. The most affected organ by the novel virus is the lung, and imaging exploration of the thorax using computer tomography (CT) scanning and X-ray has had an important impact.
Materials and methods: We assessed the prevalence of lung lesions in vaccinated versus unvaccinated SARS-CoV-2 patients using an artificial intelligence (AI) platform provided by Medicai. The software analyzes the CT scans, performing the lung and lesion segmentation using a variant of the U-net convolutional network.
Results: We conducted a cohort study at a tertiary lung hospital in which we included 186 patients: 107 (57.52%) male and 59 (42.47%) females, of which 157 (84.40%) were not vaccinated for SARS-CoV-2. Over five times more unvaccinated patients than vaccinated ones are admitted to the hospital and require imaging investigations. More than twice as many unvaccinated patients have more than 75% of the lungs affected. Patients in the age group 30-39 have had the most lung lesions at almost 69% of both lungs affected. Compared to vaccinated patients with comorbidities, unvaccinated patients with comorbidities had developed increased lung lesions by 5%.
Conclusion: The study revealed a higher percentage of lung lesions among unvaccinated SARS-CoV-2-positive patients admitted to The National Institute of Pulmonology "Marius Nasta" in Bucharest, Romania, underlining the importance of vaccination and also the usefulness of artificial intelligence in CT interpretation.
Keywords: SARS-CoV-2; artificial intelligence; image interpretation; lung lesion; vaccination.