Literature DB >> 19068691

[Use of diffusion-weighted MRI in monitoring response of lymph node metastatic bladder cancer treated with chemotherary].

Takayuki Nakayama1, Soichiro Yoshida, Yasuhisa Fujii, Fumitaka Koga, Kazutaka Saito, Hitoshi Masuda, Tsuyoshi Kobayashi, Satoru Kawakami, Kazunori Kihara.   

Abstract

Diffusion-weighted MRI (DW-MRI) is a functional imaging to assess molecular diffusion. We report a case in which treatment response to lymph node metastatic bladder cancer was monitored by DW-MRI. A 67-year-old man had paraaortic lymph node metastasis from bladder cancer; the paraaortic lymph node showed high signal intensity on DW-MRI. After four course treatment of gemcitabine and cisplatin, the lesion showed reduction of signal intensity on DW-MRI and increase of the apparent diffusion coefficient value. These signal changes were consistent with the change of morphological images (CT, MRI (T1-W, T2-W)), 18F-FDG PET and tumor markers. This case suggests that DW-MRI is useful in monitoring treatment response of metastatic bladder cancer.

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Year:  2008        PMID: 19068691     DOI: 10.5980/jpnjurol1989.99.737

Source DB:  PubMed          Journal:  Nihon Hinyokika Gakkai Zasshi        ISSN: 0021-5287


  3 in total

Review 1.  Predicting and monitoring cancer treatment response with diffusion-weighted MRI.

Authors:  Harriet C Thoeny; Brian D Ross
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

2.  Diagnostic value of diffusion-weighted magnetic resonance imaging (DWI) compared to FDG PET/CT for whole-body breast cancer staging.

Authors:  Till-Alexander Heusner; Sherko Kuemmel; Angela Koeninger; Monia E Hamami; Steffen Hahn; Anton Quinsten; Andreas Bockisch; Michael Forsting; Thomas Lauenstein; Gerald Antoch; Alexander Stahl
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-04       Impact factor: 9.236

Review 3.  Diffusion MRI in early cancer therapeutic response assessment.

Authors:  C J Galbán; B A Hoff; T L Chenevert; B D Ross
Journal:  NMR Biomed       Date:  2016-01-15       Impact factor: 4.044

  3 in total

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