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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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