Measurement of the apparent diffusion coefficient in intraductal mucin-producing tumor of the pancreas by diffusion-weighted echo-planar MR imaging

H. Irie, H. Honda, T. Kuroiwa, K. Yoshimitsu, H. Aibe, K. Shinozaki, K. Masuda

    Research output: Contribution to journalArticlepeer-review

    44 Citations (Scopus)

    Abstract

    Background: We investigated whether diffusion-weighted echo-planar magnetic resonance (MR) imaging can help differentiate intraductal mucin-producing tumors of the pancreas from other cystic lesions. Methods: Diffusion-weighted echo-planar MR imaging was performed in patients with mucin-producing tumors (n = 19), pseudocysts (n = 9), chronic pancreatitis with diffuse main pancreatic dilatation (n = 5), and serous cystadenomas (n = 2). Images were obtained with diffusion sensitizing gradients of 30, 300, and 900 s/mm2. The apparent diffusion coefficient (ADC) was calculated. Results: The mean (± standard deviation) ADCs of mucin-producing tumors (2.8 × 10-3 mm2/s ± 1.0 × 10-3), pseudocysts (2.9 × 10-3 mm2/s ± 1.2 × 10-3), dilated main pancreatic duct in chronic pancreatitis (3.3 × 10-3 mm2/s ± 1.2 × 10-3), serous cystadenomas (2.9 × 10-3 and 2.6 × 10-3 mm2/s), and cerebrospinal fluid (3.5 × 10-3 mm2/s ± 1.1 × 10-3) were not statistically different. Conclusion: It is difficult to differentiate between mucin-producing tumors and other cystic lesions by ADC measurements when using diffusion-weighted echo-planar MR imaging.

    Original languageEnglish
    Pages (from-to)82-87
    Number of pages6
    JournalAbdominal imaging
    Volume27
    Issue number1
    DOIs
    Publication statusPublished - Jan 2002

    All Science Journal Classification (ASJC) codes

    • Radiological and Ultrasound Technology
    • Radiology Nuclear Medicine and imaging
    • Gastroenterology
    • Urology

    Fingerprint

    Dive into the research topics of 'Measurement of the apparent diffusion coefficient in intraductal mucin-producing tumor of the pancreas by diffusion-weighted echo-planar MR imaging'. Together they form a unique fingerprint.

    Cite this