Abstract #4057
Evaluating the diagnostic performance of computed diffusion-weighted MR imaging in the detection of breast cancer
Elizabeth AM O'Flynn 1 , Matthew Blackledge 2 , David Collins 2 , Simon Doran 2 , Hardik Patel 3 , Martin O Leach 2 , and Dow-Mu Koh 4
1
Clinical Magnetic Resonance, Insitute of
Cancer Research and Royal Marsden Hospital, Sutton,
Surrey, United Kingdom,
2
Clinical
Magnetic Resonance, Insitute of Cancer Research, Sutton,
Surrey, United Kingdom,
3
Radiology,
Hammersmith Hospitals, London, United Kingdom,
4
Radiology,
Royal Marsden Hospital, Sutton, Surrey, United Kingdom
Computed diffusion weighted (DW) imaging (cDWI)
calculates a high b value image from acquired DW MR
images and can improve image quality and tumour
detection by showing better suppression of benign
tissues. 41 women underwent breast MRI, 20 patients with
breast cancer and 21 normal cases. Breast images with a
computed b value of 2000s/mm2 resulted in a higher
overall diagnostic sensitivity of 82.4% compared to
images acquired at a b value of 1150s/mm2 (sensitivity
17.7%) and equal sensitivity to DCE-MR of 82.4%. cDWI
holds potential as an alternative fast, non-contrast
diagnostic MR technique in breast cancer diagnosis.
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