ArticleJournal of applied clinical medical physics2022
Evaluation of ultralow-dose computed tomography on detection of pulmonary nodules in overweight or obese adult patients.
Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Scientific evidence of commercial artificial intelligence products for pulmonary nodule assessment on CT scans: a systematic review.European radiology · 2026Article
- Prospective evaluation of deep learning image reconstruction for Lung-RADS and automatic nodule volumetry on ultralow-dose chest CT.PloS one · 2024Article
- Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients.The British journal of radiology · 2023Article
- Evaluation of ultralow-dose computed tomography on detection of pulmonary nodules in overweight or obese adult patients.Journal of applied clinical medical physics · 2022Article
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate the accuracy of pulmonary nodule (PN) detection in overweight or obese adult patients using ultralow-dose computed tomography (ULDCT) with tin filtration at 100 kV and advanced model-based iterative reconstruction (ADMIRE).
methodsEighty-one patients with body mass indices of ≥25 kg/m
resultsBoth the effective dose and objective IQ were lower for ULDCT than for LDCT (both p < 0.001). Both radiologists rated the subjective IQ of the overall IQ on ULDCT to be diagnostically sufficient. In total, 234 nodules (mean diameter, 3.4 ± 1.9 mm) were classified into 32 subsolid, 149 solid, and 53 calcified nodules according to the SOR. The overall sensitivity of ULDCT for nodule detection was 93.6%. Based on multivariate analyses, the nodule types (p = 0.015) and sizes (p = 0.013) were independent predictors of nodule detection.
conclusionsCompared with LDCT, ULDCT with tin filtration at 100 kV and ADMIRE could significantly reduce the radiation dose in overweight or obese patients while maintaining good sensitivity for nodule detection.
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