• Title of article

    Detection of bone metastases using diffusion weighted magnetic resonance imaging: comparison with 11C-methionine PET and bone scintigraphy

  • Author/Authors

    Goudarzi، نويسنده , , Behnaz and Kishimoto، نويسنده , , Riwa and Komatsu، نويسنده , , Shuhei and Ishikawa، نويسنده , , Hiroyuki and Yoshikawa، نويسنده , , Kyosan and Kandatsu، نويسنده , , Susumu and Obata، نويسنده , , Takayuki، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    8
  • From page
    372
  • To page
    379
  • Abstract
    Purpose luated the ability of diffusion-weighted imaging (DWI) to detect bone metastasis by comparing the results obtained using this modality with those obtained using 11C-methionine (MET) positron emission tomography (PET) and bone scintigraphy. als and methods etrospective study involved 29 patients with bone metastasis. DWI was obtained using a single-shot echo planar imaging (EPI) sequence with fat suppression using a short inversion time inversion recovery sequence. The detection capabilities of DWI for bone metastases were compared with those of whole body MET PET (in 19 patients) and 99mTc-methylene diphosphonate bone scintigraphy (in 15 patients). s the 19 patients who were diagnosed using DWI and PET, the PET identified 39 bone metastases, while the DWI identified 60 metastases out of 69 metastases revealed with conventional magnetic resonance imaging (MRI). Among the 15 patients who were diagnosed using DWI and bone scintigraphy, the bone scintigraphy identified 18 bone metastases, while the DWI identified 72 metastases out of 78 metastases revealed with conventional MRI. The overall bone metastasis detection rates were 56.5% for PET, 23.1% for bone scintigraphy and 92.3% for DWI. sion a very sensitive method for detecting bone metastasis and is superior to MET PET and bone scintigraphy in terms of its detection capabilities.
  • Keywords
    MRI , PET , Bone metastases , diffusion weighted image
  • Journal title
    Magnetic Resonance Imaging
  • Serial Year
    2010
  • Journal title
    Magnetic Resonance Imaging
  • Record number

    1832967