4.7 Article

Incidentally detected enhancing lesions found in breast MRI: analysis of apparent diffusion coefficient and T2 signal intensity significantly improves specificity

期刊

EUROPEAN RADIOLOGY
卷 26, 期 12, 页码 4361-4370

出版社

SPRINGER
DOI: 10.1007/s00330-016-4326-2

关键词

Magnetic resonance imaging; Breast cancer; Incidental MRI-detected lesions; DWI; T2

资金

  1. Kuopio University Hospital
  2. Cancer Society of Finland

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To evaluate the value of adding T2- and diffusion-weighted imaging (DWI) to the BI-RADSA (R) classification in MRI-detected lesions. This retrospective study included 112 consecutive patients who underwent 3.0T structural breast MRI with T2- and DWI on the basis of EUSOMA recommendations. Morphological and kinetic features, T2 signal intensity (T2 SI) and apparent diffusion coefficient (ADC) findings were assessed. Thirty-three (29.5 %) patients (mean age 57.0 +/- 12.7 years) had 36 primarily MRI-detected incidental lesions of which 16 (44.4 %) proved to be malignant. No single morphological or kinetic feature was associated with malignancy. Both low T2 SI (P = 0.009) and low ADC values (aecurrency sign0.87 x 10(-3) mm(2)s(-1), P < 0.001) yielded high specificity (80.0 %/80.0 %). The BI-RADS classification supplemented with information from DWI and T2-WI improved the diagnostic performance of the BI-RADS classification as sensitivity remained 100 % and specificity improved from 30 % to 65.0 %. The numbers of false positive lesions declined from 39 % (N = 14) to 19 % (N = 7). MRI-detected incidental lesions may be challenging to characterize as they have few specific malignancy indicating features. The specificity of MRI can be improved by incorporating T2 SI and ADC values into the BI-RADS assessment. aEuro cent MRI-detected incidental lesions have few specific malignancy indicating features. aEuro cent aeyen 1 suspicious morphologic or kinetic feature may warrant biopsy. aEuro cent T2 signal intensity and DWI assessment are feasible in primarily MRI-detected lesions. aEuro cent T2 SI and DWI assessment improve the BI-RADS specificity in MRI-detected lesions.

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