Reproducibility of radiomic features of pulmonary nodules between low-dose CT and conventional-dose CT | Zendy

Yufan Gao | Zendy; Minghui Hua | Zendy; Jun Lv | Zendy; Yanhe Ma | Zendy; Yanzhen Liu | Zendy; Min Ren | Zendy; Yaohua Tian | Zendy; Ximing Li | Zendy; Hong Zhang | Zendy

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Reproducibility of radiomic features of pulmonary nodules between low-dose CT and conventional-dose CT

Author(s) -

Yufan Gao,

Minghui Hua,

Jun Lv,

Yanhe Ma,

Yanzhen Liu,

Min Ren,

Yaohua Tian,

Ximing Li,

Hong Zhang

Publication year - 2022

Publication title -

quantitative imaging in medicine and surgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.766

H-Index - 21

eISSN - 2223-4306

pISSN - 2223-4292

DOI - 10.21037/qims-21-609

Subject(s) - reproducibility , medicine , concordance correlation coefficient , texture (cosmology) , nuclear medicine , solitary pulmonary nodule , intensity (physics) , radiology , computed tomography , artificial intelligence , computer science , mathematics , physics , statistics , quantum mechanics , image (mathematics)

The reproducibility of radiomic features is essential to lung cancer detection. This study aimed to investigate the reproducibility of radiomic features of pulmonary nodules between low-dose computed tomography (LDCT) and conventional-dose computed tomography (CDCT).

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