A prospective evaluation of T2-weighted first-pass perfusion MR imaging in diagnosing breast neoplasms

  • Xiaojuan Liu
  • Renyou Zhai
  • Tao Jiang
  • Li Wang
Original Articles



To compare the results from breast cancer patients who undergo T2-weighted first-pass perfusion imaging after dynamic contrast-enhanced T1-weighted imaging during the same examination, and to evaluate if T2-weighted imaging can provide additional diagnostic information over that obtained with T1-weighted imaging.


Twenty-nine patients with breast lesions verified by pathology (benign 12, malignant 17.) underwent MR imaging with dynamic contrast-enhanced T1-weighted imaging of the entire breasts, immediately followed by 6-sections of T2-weighted first-pass perfusion imaging of the lesions. The diagnostic indices were acquired by individual 3D T1-weighted enhancement rate criterion and the T2 signalintensity loss rate criterion. The sensitivity and specificity were calculated and the 2 methods were compared.


With the dynamic.contrast-enhanced T1-weighted imaging, there was a significant differences between the benign and malignant breast lesions (t =2.563,P=0.016). However we found a considerable overlap between the signal intensity increase in the carcinomas and that in the benign lesions, for a sensitivity of 94% and a specificity of 25%. With T2-weighted first-pass perfusion imaging, there was a very significant difference between the benign and malignant breast lesions(t =4.777,P< 0.001), and the overlap between the signal intensity decrease in the carcinomas and that of the benign lesions on the T2-weighted images was less pronounced than the overlap in the T1-weighted images, for a sensitivity of 88% and a specificity of 75%.


T2-weighted first-pass perfusion imaging may help differentiate between benign and malignant breast lesions with a higher level of specificity. The combination of T1-weighted and T2-weighted imaging is feasible in a single patient examination and may improve breast MR imaging.


breast neoplasm magnetic resonance imaging diagnosis differential 


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Copyright information

© Chinese Anti-Cancer Association and Springer 2003

Authors and Affiliations

  • Xiaojuan Liu
    • 1
  • Renyou Zhai
    • 1
  • Tao Jiang
    • 1
  • Li Wang
    • 1
  1. 1.Department of RadiologyBeijing Chaoyang Hospital, Capital University of Medical ScienceBeijingChina

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