Preoperative localization of pulmonary nodules using ultra-low-dose CT based on artificial intelligence iterative reconstruction

ULDCT-AIIR achieves image quality comparable to LDCT-HIR with significantly reduced radiation doses, suggesting its potential as an alternative to LDCT for preoperative pulmonary nodule localization.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2026-02-13
DOI
https://doi.org/10.21037/qims-2025-1544
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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Preoperative localization of pulmonary nodules using ultra-low-dose CT based on artificial intelligence iterative reconstruction

Hongcheng Zhong, Sihua Zhong, Danlin Ou, Mingzhu Liang et al.
Quantitative Imaging in Medicine and Surgery
Lung Cancer Diagnosis and Treatment
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Preoperative localization of pulmonary nodules using ultra-low-dose CT based on artificial intelligence iterative reconstruction

Hongcheng Zhong, Sihua Zhong, Danlin Ou, Mingzhu Liang, Huixiang Lan, Xiaobin Liu
article en

Abstract

ULDCT-AIIR achieves image quality comparable to LDCT-HIR with significantly reduced radiation doses, suggesting its potential as an alternative to LDCT for preoperative pulmonary nodule localization.

Quantitative Imaging in Medicine and SurgeryVol. 16(3)
Sun Yat-sen University (CN), Fifth Affiliated Hospital of Sun Yat-sen University (CN), United Imaging Healthcare (China) (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 60%
Lung Cancer Diagnosis and Treatment
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