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Deep phenotyping the cervical spine: automatic characterization of cervical degenerative phenotypes based on T2-weighted MRI.
Niemeyer, Frank; Galbusera, Fabio; Tao, Youping; Phillips, Frank M; An, Howard S; Louie, Philip K; Samartzis, Dino; Wilke, Hans-Joachim.
Afiliação
  • Niemeyer F; Institute for Orthopaedic Research and Biomechanics, Trauma Research Center Ulm, University Hospital Ulm, Ulm, Germany.
  • Galbusera F; Department of Teaching, Research and Development, Schulthess Clinic, Spine Center, Lengghalde 2, 8008, Zurich, Switzerland. fabio.galbusera@kws.ch.
  • Tao Y; Institute for Orthopaedic Research and Biomechanics, Trauma Research Center Ulm, University Hospital Ulm, Ulm, Germany.
  • Phillips FM; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • An HS; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Louie PK; Spine Clinic, Virginia Mason Medical Center, Seattle, WA, USA.
  • Samartzis D; International Spine Research and Innovation Initiative, Rush University Medical Center, Chicago, IL, USA.
  • Wilke HJ; Institute for Orthopaedic Research and Biomechanics, Trauma Research Center Ulm, University Hospital Ulm, Ulm, Germany.
Eur Spine J ; 32(11): 3846-3856, 2023 11.
Article em En | MEDLINE | ID: mdl-37644278
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Osteófito Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Osteófito Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article