Article

Artificial intelligence model-based iterative reconstruction for lung ultra-low-dose CT: image quality, ground-glass nodules detectability, and Lung-RADS evaluation

2025-09-03

Abstract excerpt

<title>Abstract</title> <p><bold>Objective: </bold>To assess the effect of artificial intelligence model-based iterative reconstruction (AIIR) on image quality of lung ultra-low-dose CT (ULDCT), as well as its influence on the detection and diagnostic classification of GGNs. <bold>Methods: </bold>Fifty-three patients diagnosed with GGNs underwent both lung standard-dose CT (SDCT) and ultra-low-dose CT (ULDCT) sca...

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Literature Corpus work: 73775779-e8e8-5d8b-b925-b5b931afa4d5
DOI: 10.21203/rs.3.rs-7206057/v1

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