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Diffusion-Weighted MRI of Breast Cancer: Improved Lesion Visibility and Image Quality Using Synthetic b-Values.
Bickel, Hubert; Polanec, Stephan H; Wengert, Georg; Pinker, Katja; Bogner, Wolfgang; Helbich, Thomas H; Baltzer, Pascal A.
Afiliação
  • Bickel H; Department of Biomedical Imaging and Image Guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Austria.
  • Polanec SH; Department of Biomedical Imaging and Image Guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Austria.
  • Wengert G; Department of Biomedical Imaging and Image Guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Austria.
  • Pinker K; Department of Biomedical Imaging and Image Guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Austria.
  • Bogner W; Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Helbich TH; Department of Biomedical Imaging and Image Guided Therapy, High-Field MR Center, Medical University of Vienna, Austria.
  • Baltzer PA; Department of Biomedical Imaging and Image Guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Austria.
J Magn Reson Imaging ; 50(6): 1754-1761, 2019 12.
Article em En | MEDLINE | ID: mdl-31136044
BACKGROUND: Diffusion-weighted imaging (DWI) is an MRI technique with the potential to serve as an unenhanced breast cancer detection tool. Synthetic b-values produce images with high diffusion weighting to suppress residual background signal, while avoiding additional measurement times and reducing artifacts. PURPOSE: To compare acquired DWI images (at b = 850 s/mm2 ) and different synthetic b-values (at b = 1000-2000 s/mm2 ) in terms of lesion visibility, image quality, and tumor-to-tissue contrast in patients with malignant breast tumors. STUDY TYPE: Retrospective. POPULATION: Fifty-three females with malignant breast lesions. FIELD STRENGTH/SEQUENCE: T2 w, DWI EPI with STIR fat-suppression, and dynamic contrast-enhanced T1 w at 3T. ASSESSMENT: From acquired images using b-values of 50 and 850 s/mm2 , synthetic images were calculated at b = 1000, 1200, 1400, 1600, 1800, and 2000 s/mm2 . Four readers independently rated image quality, lesion visibility, preferred b-value, as well as the lowest and highest b-value, over the range of b-values tested, to provide a diagnostic image. STATISTICAL TESTS: Medians and mean ranks were calculated and compared using the Friedman test and Wilcoxon signed-rank test. Reproducibility was analyzed by intraclass correlation (ICC), Fleiss, and Cohen's κ. RESULTS: Relative signal-to-noise and contrast-to-noise ratios decreased with increasing b-values, while the signal-intensity ratio between tumor and tissue increased significantly (P < 0.001). Intermediate b-values (1200-1800 s/mm2 ) were rated best concerning image quality and lesion visibility; the preferred b-value mostly lay at 1200-1600 s/mm2 . Lowest and highest acceptable b-values were 850 s/mm2 and 2000 s/mm2 . Interreader agreement was moderate to high concerning image quality (ICC: 0.50-0.67) and lesion visibility (0.70-0.93), but poor concerning preferred and acceptable b-values (κ = 0.032-0.446). DATA CONCLUSION: Synthetically increased b-values may be a way to improve tumor-to-tissue contrast, lesion visibility, and image quality of breast DWI, while avoiding the disadvantages of performing DWI at very high b-values. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1754-1761.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Adult / Aged / Aged80 / Female / Humans / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article