Ilaria D'Ambrosio, Abstract Co-Author: Nothing to Disclose

Nelia Ravazzolo, Abstract Co-Author: Nothing to Disclose

Veronica Barra MD, Abstract Co-Author: Nothing to Disclose

Giacomo Pasinati, Abstract Co-Author: Nothing to Disclose

Federico Miozzi, Abstract Co-Author: Nothing to Disclose

Laura Ballesio MD, Presenter: Nothing to Disclose

To categorize non-mass-like breast lesions features detected by MRI, and to correlate their MRI patterns to the histological examination.  

we included 45 patients with non-mass-like enhancements on MRI evaluation that underwent MRI for mammographic or ultrasonographic suspected lesions. MRI non-mass-like features were classified into three categories: regional (23 patients, 51%), segmental (15 patients, 33.3%) and ductal patterns (7 patients, 15.5%). Then we compared each category to the histological examination (through biopsy or surgical excision).

For regional category, histology detected breast cancer in 20 (87%) patients and benign lesions in 3 (13%) patients. For the second group (segmental feature), histology detected breast cancer in 15 (93%). For ductal feature histology detected breast cancer in 5 (71%) patients and benign lesions in 2 (28%) patients. Statistical analysis was made about the three groups (sensibility, specificity, PPV,PNV, accuracy).

Segmental pattern demonstrated an higher PPV for breast cancer than the other categories. MRI breast lesions that show a segmental feature , then, should be characterized by histology in all patients.

 To characterize non-mass-like breast lesions features detected by MRI, and to correlate their MRI patterns to the histological examination.

D'Ambrosio, I, Ravazzolo, N, Barra, V, Pasinati, G, Miozzi, F, Ballesio, L, Histological Correlation of Non-Mass-like Enhancement Categories in Breast Lesions Detected by MRI.  Radiological Society of North America 2009 Scientific Assembly and Annual Meeting, November 29 - December 4, 2009 ,Chicago IL. http://archive.rsna.org/2009/8011640.html