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Improving the Specificity of High Resolution Breast MRI by Optimizing Data Acquisition and Diagnostic Models

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Annual summary rept. 1 Sep 1998-31 Aug 2000

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Magnetic resonance imaging MRI techniques have the potential to greatly improve breast cancer detection, diagnosis, and treatment. The purpose of this study was to develop new diagnostic criteria for improved characterization of breast tissue using MRI. A high-resolution, three time-point, contrast-enhanced MR technique was optimized for image quality, breast coverage, and time efficiency, and over 200 patients were imaged prior to undergoing surgery. Several models incorporating the dynamic enhancement response of the breast tissue were proposed and the diagnostic value of each was tested against pathology results. One of the best performing models was the signal enhancement ratio SER, which compared early to late enhancement behavior in the tissue. SER values successfully differentiated between benign and malignant tissue p0.05, and showed promising results for quantifying tumor aggressiveness. Additionally, the diagnostic value of diffusion-weighted MRI of the breast was investigated. Diffusion-weighted images were acquired using a newly developed technique, and apparent diffusion coefficients ADC were calculated in the breast tissue of volunteers. Mean ADC values were found to be significantly different p0.01 for tumor, normal tissue and cysts measured in the breast. The optimized models are now being evaluated for detecting neoadjuvant treatment response in breast tumors, and may be capable of detecting changes much earlier than current clinical methods.

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  • Anatomy and Physiology
  • Medicine and Medical Research
  • Computer Programming and Software

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