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The most restricted part apparent diffusion coefficient (ADC) value offers the highest diagnostic accuracy for breast lesions. ADC ratios using contralateral normal breast tissue do not improve accuracy, but larger lesions show better predictive values.

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Diffusion-weighted imaging (DWI) is crucial for breast lesion characterization.
  • Apparent diffusion coefficient (ADC) values quantify water molecule diffusion, aiding in differentiating benign from malignant lesions.
  • Standardized quantification methods are essential for reliable ADC analysis.

Purpose of the Study:

  • To compare different apparent diffusion coefficient (ADC) quantification methods for breast lesions.
  • To evaluate the utility of ADC ratios involving contralateral normal breast tissue.
  • To assess the impact of lesion size on diagnostic performance.

Main Methods:

  • A descriptive study analyzed 246 breast MRI scans with DWI.
  • Region of interest (ROI) based ADC measurements were performed.
  • Four distinct methods were used to obtain ADC values and ratios.
  • Diagnostic accuracy metrics were compared across the methods.

Main Results:

  • All four ADC quantification methods showed statistically significant differences between benign and malignant lesions (p<0.001).
  • The highest diagnostic accuracy, positive predictive value, and negative predictive value were achieved using the ADC value from the most restricted part of the lesion.
  • ADC ratios with contralateral normal breast tissue did not enhance diagnostic accuracy.
  • Diagnostic performance improved with increasing lesion size.

Conclusions:

  • The ADC value derived from the most restricted part of a breast lesion provides the highest diagnostic accuracy.
  • Calculating ADC ratios with contralateral normal breast tissue does not improve diagnostic performance.
  • Increased lesion size correlates with higher positive and negative predictive values and diagnostic accuracy.