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A combined non-enhanced CT radiomics and clinical variable machine learning model for differentiating benign and malignant sub-centimeter pulmonary solid nodules.

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Title: A combined non-enhanced CT radiomics and clinical variable machine learning model for differentiating benign and malignant sub-centimeter pulmonary solid nodules.
Authors: Lin RY; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Zheng YN; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Lv FJ; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Fu BJ; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Li WJ; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Liang ZR; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Chu ZG; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Source: Medical physics [Med Phys] 2023 May; Vol. 50 (5), pp. 2835-2843. Date of Electronic Publication: 2023 Mar 02.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A combined non-enhanced CT radiomics and clinical variable machine learning model for differentiating benign and malignant sub-centimeter pulmonary solid nodules.
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  Data: <searchLink fieldCode="AU" term="%22Lin+RY%22">Lin RY</searchLink>; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Zheng+YN%22">Zheng YN</searchLink>; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Lv+FJ%22">Lv FJ</searchLink>; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Fu+BJ%22">Fu BJ</searchLink>; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Li+WJ%22">Li WJ</searchLink>; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Liang+ZR%22">Liang ZR</searchLink>; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Chu+ZG%22">Chu ZG</searchLink>; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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  Data: <searchLink fieldCode="JN" term="%220425746%22">Medical physics</searchLink> [Med Phys] 2023 May; Vol. 50 (5), pp. 2835-2843. <i>Date of Electronic Publication: </i>2023 Mar 02.
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        Value: 10.1002/mp.16316
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      – TitleFull: A combined non-enhanced CT radiomics and clinical variable machine learning model for differentiating benign and malignant sub-centimeter pulmonary solid nodules.
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            NameFull: Zheng YN
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              Text: 2023 May
              Type: published
              Y: 2023
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