{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T21:20:08Z","timestamp":1790371208430,"version":"4.1.0"},"reference-count":24,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T00:00:00Z","timestamp":1745452800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Tomography"],"abstract":"<jats:p>Background: This study aims to systematically evaluate the findings from computed tomography (CT) examinations conducted at least three months post-diagnosis of COVID-19 in patients diagnosed between 2020 and 2024. Objective: To determine the frequency and characteristics of CT findings in the post-COVID-19 period, analyze long-term effects on lung parenchyma, and contribute to the development of clinical follow-up and treatment strategies based on the collected data. Materials and Methods: Ethical approval was obtained for this retrospective study, and individual consent was waived. A total of 76 patients were included in the study, aged 18 and older, diagnosed with COVID-19 between March 2020 and November 2024, who underwent follow-up chest CT scans at 3\u20136 months, 6\u201312 months, and\/or 12 months post-diagnosis. CT images were obtained in the supine position without contrast and evaluated by two experienced radiologists using a CT severity score (CT-SS) system, which quantifies lung involvement. Statistical analyses were performed using IBM SPSS 23.0, with significance set at p &lt; 0.05. Results: The results indicated a mean CT-SS of 10.58 \u00b1 0.659. Significant associations were found between age, CT scores, and the necessity for intensive care or mechanical ventilation. The most common CT findings included ground-glass opacities, reticular patterns, and traction bronchiectasis, particularly increasing with age and over time. Conclusion: This study emphasizes the persistent alterations in lung parenchyma following COVID-19, highlighting the importance of continuous monitoring and tailored treatment strategies for affected patients to improve long-term outcomes.<\/jats:p>","DOI":"10.3390\/tomography11050049","type":"journal-article","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T04:04:50Z","timestamp":1745467490000},"page":"49","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Long-Term Effects of COVID-19: Analysis of Imaging Findings in Patients Evaluated by Computed Tomography from 2020 to 2024"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6496-8748","authenticated-orcid":false,"given":"Zeynep","family":"Keskin","sequence":"first","affiliation":[{"name":"Department of Radiology, Konya City Hospital, Konya 42020, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mihrican","family":"Ye\u015filda\u011f","sequence":"additional","affiliation":[{"name":"Department of Chest Diseases, T.C. Ministry of Health Meram State Hospital, Konya 42090, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4004-4991","authenticated-orcid":false,"given":"\u00d6mer","family":"\u00d6zberk","sequence":"additional","affiliation":[{"name":"Department of Radiology, Konya City Hospital, Konya 42020, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kemal","family":"\u00d6dev","sequence":"additional","affiliation":[{"name":"Department of Radiology, Faculty of Medicine, Konya Chamber of Commerce Karatay University, Konya 42020, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatih","family":"Ate\u015f","sequence":"additional","affiliation":[{"name":"Department of Radiology, Konya City Hospital, Konya 42020, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beng\u00fc \u00d6zkan","family":"Bakd\u0131k","sequence":"additional","affiliation":[{"name":"Department of Chest Diseases, T.C. Ministry of Health Meram State Hospital, Konya 42090, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u015eehriban \u00c7a\u011flak","family":"Karda\u015f","sequence":"additional","affiliation":[{"name":"Department of Chest Diseases, Konya City Hospital, Konya 42020, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Filip, R., Gheorghita Puscaselu, R., Anchidin-Norocel, L., Dimian, M., and Savage, W.K. (2022). Global challenges to public health care systems during the COVID-19 pandemic: A review of pandemic measures and problems. J. Pers. 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Radiol."}],"container-title":["Tomography"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2379-139X\/11\/5\/49\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:20:28Z","timestamp":1760030428000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2379-139X\/11\/5\/49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,24]]},"references-count":24,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2025,5]]}},"alternative-id":["tomography11050049"],"URL":"https:\/\/doi.org\/10.3390\/tomography11050049","relation":{},"ISSN":["2379-139X"],"issn-type":[{"value":"2379-139X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,24]]}}}