| Autor: |
Shritik Devkota, Mandeep Garg, Uma Debi, Sahajal Dhooria, Ashish Dua, Nidhi Prabhakar, Saumya Soni, Muniraju Maralakunte, Ajay Gulati, Tarvinder Singh, Manavjit Singh Sandhu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
British Journal of Biomedical Science, Vol 81 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2474-0896 |
| DOI: |
10.3389/bjbs.2024.13385 |
| Popis: |
BackgroundFrequent 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.MethodsIn 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≥30 kg/m2) and non-obese (BMI |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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