Quantitative radiomic model for predicting malignancy of small solid pulmonary nodules detected by low-dose CT screening

BACKGROUND: It is a permanent challenge to differentiate small solid lung nodules. Massive data, extracted from medical image through radiomics analysis, may help early diagnosis of lung cancer. The aim of this study was to assess the usefulness of a quantitative radiomic model developed from baseli...

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Bibliographic Details
Published in:Quant Imaging Med Surg
Main Authors: Mao, Liting, Chen, Huan, Liang, Mingzhu, Li, Kunwei, Gao, Jiebing, Qin, Peixin, Ding, Xianglian, Li, Xin, Liu, Xueguo
Format: Artigo
Language:Inglês
Published: AME Publishing Company 2019
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Original Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6414768/
https://ncbi.nlm.nih.gov/pubmed/30976550
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims.2019.02.02
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