{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T11:41:26Z","timestamp":1792842086144,"version":"4.5.0"},"reference-count":39,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T00:00:00Z","timestamp":1725926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontierspartnerships.org"],"crossmark-restriction":true},"short-container-title":["Br J Biomed Sci"],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Frequent chest CTs within a short period during follow-up of long COVID patients may increase the risk of radiation-related health effects in the exposed individuals. We aimed to assess the image quality and diagnostic accuracy of ultra-low-dose CT (ULDCT) chest compared to standard-dose CT (SDCT) in detecting lung abnormalities associated with long COVID.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In this prospective study, 100 long COVID patients with respiratory dysfunction underwent SDCT and ULDCT chest that were compared in terms of objective (signal-to-noise ratio, SNR) and subjective image quality (image graininess, sharpness, artifacts, and diagnostic accuracy along with the European guidelines on image quality criteria for CT chest), detection of imaging patterns of long COVID, CT severity score, and effective radiation dose. Additionally, the diagnostic performance of ULDCT was compared among obese (BMI\u226530\u00a0kg\/m<jats:sup>2<\/jats:sup>) and non-obese (BMI&amp;lt;30\u00a0kg\/m<jats:sup>2<\/jats:sup>) subjects.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The mean age of study participants was 53 \u00b1 12.9\u00a0years, and 68% were male. The mean SNR was 31.4 \u00b1 5.5 and 11.3 \u00b1 4.6 for SDCT and ULDCT respectively (p&amp;lt; 0.0001). Common findings seen on SDCT included ground-glass opacities (GGOs, 77%), septal thickening\/reticulations (67%), atelectatic\/parenchymal bands (63%) and nodules (26%). ULDCT provided sharp images, with no\/minimal graininess, and high diagnostic confidence in 81%, 82% and 80% of the cases respectively. The sensitivity of ULDCT for various patterns of long COVID was 72.7% (GGOs), 71.6% (interlobular septal thickening\/reticulations), 100% (consolidation), 81% (atelectatic\/parenchymal bands) and 76.9% (nodules). ULDCT scans in non-obese subjects exhibited a significantly higher sensitivity (88% vs. 60.3%, p &amp;lt; 0.0001) and diagnostic accuracy (97.7% vs. 84.9%, p &amp;lt; 0.0001) compared to obese subjects. ULDCT showed very strong correlation with SDCT in terms of CT severity score (r = 0.996, p &amp;lt; 0.0001). The mean effective radiation dose with ULDCT was 0.25 \u00b1 0.02\u00a0mSv with net radiation dose reduction of 94.8% \u00b1 1.7% (p &amp;lt; 0.0001) when compared to SDCT (5.5 \u00b1 1.96\u00a0mSv).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>ULDCT scans achieved comparable diagnostic accuracy to SDCT for detecting long COVID lung abnormalities in non-obese patients, while significantly reducing radiation exposure.<\/jats:p><\/jats:sec>","DOI":"10.3389\/bjbs.2024.13385","type":"journal-article","created":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T08:25:14Z","timestamp":1725956714000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluating Lung Changes in Long COVID: Ultra-Low\u2010Dose vs. Standard\u2010Dose CT 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