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Incidental osseous lesions on chest CT: an algorithmic approach for radiologists.
Mansoori, Bahar; Kosaraju, Vijaya; Yoon, James; Chalian, Hamid; Shomal Zadeh, Firoozeh; Vo, Kiet V; Shafiei, Mehrzad; Rajiah, Prabhakar; Chalian, Majid.
Afiliação
  • Mansoori B; Division of Abdominal Imaging, Department of Radiology, University of Washington, Seattle, WA, United States of America.
  • Kosaraju V; Division of Musculoskeletal Imaging, Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, United States of America.
  • Yoon J; Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States of America.
  • Chalian H; Division of Cardiothoracic Imaging, Department of Radiology, University of Washington, Seattle, WA, United States of America.
  • Shomal Zadeh F; Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, United States of America.
  • Vo KV; Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, United States of America.
  • Shafiei M; Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, United States of America.
  • Rajiah P; Cardiovascular Imaging Section, Department of Radiology, Mayo Clinic, Rochester, MN, United States of America.
  • Chalian M; Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA, United States of America. Electronic address: mchalian@uw.edu.
Clin Imaging ; 91: 69-96, 2022 Nov.
Article em En | MEDLINE | ID: mdl-36037551
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Achados Incidentais Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Achados Incidentais Idioma: En Ano de publicação: 2022 Tipo de documento: Article