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首页|期刊导航|中华医学杂志(英文版)|Risk assessment of malignancy in solitary pulmonary nodules in lung computed tomography:a multivariable predictive model study

Risk assessment of malignancy in solitary pulmonary nodules in lung computed tomography:a multivariable predictive model study

Hai-Yang Liu Xiao-Ju Zhang Xing-Ru Zhao Meng Chi Xiang-Song Cheng Zi-Qi Wang Zhi-Wei Xu Yong-Li Li Rui Yang Yong-Jun Wu

中华医学杂志(英文版)2021,Vol.134Issue(14):1687-1694,8.
中华医学杂志(英文版)2021,Vol.134Issue(14):1687-1694,8.DOI:10.1097/CM9.0000000000001507

Risk assessment of malignancy in solitary pulmonary nodules in lung computed tomography:a multivariable predictive model study

Risk assessment of malignancy in solitary pulmonary nodules in lung computed tomography:a multivariable predictive model study

Hai-Yang Liu 1Xiao-Ju Zhang 2Xing-Ru Zhao 1Meng Chi 2Xiang-Song Cheng 3Zi-Qi Wang 3Zhi-Wei Xu 4Yong-Li Li 5Rui Yang 1Yong-Jun Wu2

作者信息

  • 1. Department of Respiratory and Critical Care Medicine,Henan Provincial People's Hospital
  • 2. Zhengzhou University People's Hospital,Zhengzhou,Henan 450000,China
  • 3. Henan Joint International Research Laboratory of Diagnosis and Treatment of Pulmonary Nodules,Henan Provincial People's Hospital,Zhengzhou University People's Hospital,Zhengzhou,Henan 450000,China
  • 4. Department of Medical Imaging,Henan Provincial Chest Hospital,Zhengzhou,Henan 450000,China
  • 5. Department of Respiratory and Critical Care Medicine,Fuwai Central China Cardiovascular Hospital,Zhengzhou,Henan 450000,China
  • 折叠

摘要

关键词

CT image/Lung cancer/Prediction model/Pulmonary nodules/Regression algorithm

Key words

CT image/Lung cancer/Prediction model/Pulmonary nodules/Regression algorithm

引用本文复制引用

Hai-Yang Liu,Xiao-Ju Zhang,Xing-Ru Zhao,Meng Chi,Xiang-Song Cheng,Zi-Qi Wang,Zhi-Wei Xu,Yong-Li Li,Rui Yang,Yong-Jun Wu..Risk assessment of malignancy in solitary pulmonary nodules in lung computed tomography:a multivariable predictive model study[J].中华医学杂志(英文版),2021,134(14):1687-1694,8.

基金项目

This work was supported by grants from the National Natural Science Foundation of China(No.81670091)and the Zhongyuan Science and Technology Innovation Leading Talent Project(No.194200510). (No.81670091)

中华医学杂志(英文版)

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