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In vivo quantification of bone mineral density of lumbar vertebrae using fast kVp switching dual-energy CT: correlation with quantitative computed tomography.
Zhou, Shuwei; Zhu, Lu; You, Tian; Li, Ping; Shen, Hongrong; He, Yewen; Gao, Hui; Yan, Luyou; He, Zhuo; Guo, Ying; Zhang, Yaxi; Zhang, Kun.
Afiliação
  • Zhou S; Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Zhu L; The College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, China.
  • You T; Department of Ultrasonography, Hunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal University, Changsha, China.
  • Li P; Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Shen H; Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • He Y; Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Gao H; Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Yan L; Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • He Z; Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Guo Y; Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Zhang Y; Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
  • Zhang K; Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
Quant Imaging Med Surg ; 11(1): 341-350, 2021 Jan.
Article em En | MEDLINE | ID: mdl-33392033
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article