title: Correlation between mammographic findings and corresponding histopathology: potential predictors for biological characteristics of breast diseases.
abstract: The present study retrospectively evaluated the mammographic findings of 606 Japanese women with breast cancer (median age 50 years; range 27-89 years) and correlated them with histopathological characteristics. Mammographic findings were evaluated with an emphasis on mass shape, margin, density, calcification, and the presence of architectural distortion; these findings were correlated with histopathological characteristics such as intrinsic subtype, histological grade, lymphovascular invasion, and the Ki-67 labeling index. An irregular mass shape and masses with a spiculated margin were significantly higher in the group of patients with luminal A breast cancer than in patients with masses that were lobular or round, or in tumors with an indistinct or microlobulated periphery (P = 0.017, P = 0.024, P < 0.001, and P = 0.001, respectively). Irregular mass shape and spiculated periphery were significantly lower in patients with Grade 3 cancer (P < 0.001 for both). In terms of lymphovascular invasion, there were significant differences between oval and irregular or round mass shape (P = 0.008 and P = 0.034), between tumors with a microlobulated and indistinct periphery (P = 0.014), between tumors with a punctate and amorphous or pleomorphic calcification shape (P = 0.030 and 0.038), and between the presence and absence of architectural distortion (P = 0.027). Equivalent or low-density masses were also higher in Grade 1 breast cancers (P = 0.007). There were significant differences in the Ki-67 labeling index between irregular and lobular or round tumors (P < 0.001 and P = 0.014), as well as between spiculated and indistinct or microlobulated tumors (P < 0.001 for both). Significant differences were noted in the mammographic features of different primary breast cancer subtypes. These proposed mammographic diagnostic criteria based on biological characteristics may contribute to a more accurate prediction of biological behavior of breast malignancies.
authors: Department of Surgical Oncology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
authors: Kentaro
authors: K
authors: Tamaki
authors: Takanori
authors: T
authors: Ishida
authors: Minoru
authors: M
authors: Miyashita
authors: Masakazu
authors: M
authors: Amari
authors: Noriaki
authors: N
authors: Ohuchi
authors: Nobumitsu
authors: N
authors: Tamaki
authors: Hironobu
authors: H
authors: Sasano
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor; D001940:Breast / Q000473:pathology*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D005260:Female; D006801:Humans; D007564:Japan; D019394:Ki-67 Antigen; D008327:Mammography; D008875:Middle Aged; D060787:Neoplasm Grading; D011379:Prognosis; D012189:Retrospective Studies
chemical_list: D014408:Biomarkers, Tumor; D019394:Ki-67 Antigen