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Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma.
Zhang, Bin; Lian, Zhouyang; Zhong, Liming; Zhang, Xiao; Dong, Yuhao; Chen, Qiuying; Zhang, Lu; Mo, Xiaokai; Huang, Wenhui; Yang, Wei; Zhang, Shuixing.
Affiliation
  • Zhang B; Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Lian Z; Jinan University, Guangzhou, Guangdong, China.
  • Zhong L; Department of Radiology, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
  • Zhang X; Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Dong Y; Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Chen Q; Zhuhai Precision Medical Center, Zhuhai People's Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, China.
  • Zhang L; Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital /Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People's Republic of China.
  • Mo X; Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Huang W; Jinan University, Guangzhou, Guangdong, China.
  • Yang W; Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Zhang S; Jinan University, Guangzhou, Guangdong, China.
BMC Cancer ; 20(1): 502, 2020 Jun 01.
Article in En | MEDLINE | ID: mdl-32487085
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Full text: 1 Database: MEDLINE Main subject: Radiation Injuries / Brain Injuries / Image Interpretation, Computer-Assisted / Nasopharyngeal Neoplasms / Machine Learning / Nasopharyngeal Carcinoma Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Year: 2020 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Radiation Injuries / Brain Injuries / Image Interpretation, Computer-Assisted / Nasopharyngeal Neoplasms / Machine Learning / Nasopharyngeal Carcinoma Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Year: 2020 Type: Article