Efficacy of model-based iterative reconstruction in cystic fibrosis assessment using CT

S. Lin, M. Lin, K. K. Lau

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4 Citations (Scopus)


AIM: To evaluate the efficacy of model-based iterative reconstruction (MBIR)constructed non-enhanced ultra-low dose (ULD)computed tomography (CT)of the chest to evaluate cystic fibrosis (CF)pathology. MATERIALS AND METHODS: ULD-CT was compared with chest X-ray and standard adaptive statistical iterative reconstructed (ASIR)non-enhanced low-dose CT (LD-CT). The effective radiation dose was calculated from the recorded dose–length product (DLP)values and compared between the two CT methods. Identification of pathology was compared between ULD-CT and chest X-ray. It was hypothesised that ULD-CT would be superior to chest X-ray in the identification of CF pathology at lower doses than LD-CT. RESULTS: The mean effective radiation dose of ULD-CT was 0.073 mSv, comparable to one chest X-ray, which was a 94% reduction compared to LD-CT. Compared to chest X-ray, ULD-CT detected on average, 2.3 more regions of bronchiectasis per study and better delineated varicose and cystic forms of bronchiectasis (p≤0.0001). ULD-CT identified four-times more mucous plugging than chest X-ray (p<0.000001)and twice the amount of consolidation (p=0.0002). CONCLUSION: ULD-CT is superior to chest X-ray in quantifying CF disease and achieves remarkable radiation doses significantly lower than LD-CT, comparable to one chest radiograph. The present results suggest that MBIR-constructed ULD-CT is an effective imaging technique for CF surveillance, with potential applications in other disease settings.

Original languageEnglish
Pages (from-to)569.e19-569.e27
Number of pages9
JournalClinical Radiology
Issue number7
Publication statusPublished - Jul 2019
Externally publishedYes

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