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Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study.
Bailey, Colleen; Siow, Bernard; Panagiotaki, Eleftheria; Hipwell, John H; Mertzanidou, Thomy; Owen, Julie; Gazinska, Patrycja; Pinder, Sarah E; Alexander, Daniel C; Hawkes, David J.
Affiliation
  • Bailey C; University College London, Centre for Medical Image Computing, London, UK.
  • Siow B; University College London, Centre for Advanced Biomedical Imaging, London, UK.
  • Panagiotaki E; University College London, Centre for Medical Image Computing, London, UK.
  • Hipwell JH; University College London, Centre for Medical Image Computing, London, UK.
  • Mertzanidou T; University College London, Centre for Medical Image Computing, London, UK.
  • Owen J; King's College London, Guy's Hospital, Breast Research, Pathology, London, UK.
  • Gazinska P; King's College London, Guy's Hospital, Breast Research, Pathology, London, UK.
  • Pinder SE; King's College London, Guy's Hospital, Breast Research, Pathology, London, UK.
  • Alexander DC; University College London, Centre for Medical Image Computing, London, UK.
  • Hawkes DJ; University College London, Centre for Medical Image Computing, London, UK.
NMR Biomed ; 30(2)2017 Feb.
Article de En | MEDLINE | ID: mdl-28000292
ABSTRACT
The diffusion signal in breast tissue has primarily been modelled using apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM) and diffusion tensor (DT) models, which may be too simplistic to describe the underlying tissue microstructure. Formalin-fixed breast cancer samples were scanned using a wide range of gradient strengths, durations, separations and orientations. A variety of one- and two-compartment models were tested to determine which best described the data. Models with restricted diffusion components and anisotropy were selected in most cancerous regions and there were no regions in which conventional ADC or DT models were selected. Maps of ADC generally related to cellularity on histology, but maps of parameters from more complex models suggest that both overall cell volume fraction and individual cell size can contribute to the diffusion signal, affecting the specificity of ADC to the tissue microstructure. The areas of coherence in diffusion anisotropy images were small, approximately 1 mm, but the orientation corresponded to stromal orientation patterns on histology.
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Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs du sein / Imagerie par résonance magnétique / Tissu conjonctif / Imagerie par tenseur de diffusion / Modèles biologiques Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Female / Humans Langue: En Journal: NMR Biomed Sujet du journal: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Année: 2017 Type de document: Article Pays d'affiliation: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs du sein / Imagerie par résonance magnétique / Tissu conjonctif / Imagerie par tenseur de diffusion / Modèles biologiques Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Female / Humans Langue: En Journal: NMR Biomed Sujet du journal: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Année: 2017 Type de document: Article Pays d'affiliation: Royaume-Uni
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