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. (Cancer Sci 2011; 102: 2179-2185

Evaluation of an Automated Information Extraction Tool for Imaging Data Elements to Populate a Breast Cancer Screening Registry

“…Defining imaging findings for modalities beyond mammography (i.e., breast molecular imaging for focal asymmetry) [18]; analyzing findings present in relevant subgroups of patients with breast cancer (i.e., findings that are more frequently observed in younger women with breast cancer or women with missed breast cancer), and the potential of relating these specific imaging findings with molecular phenotypes of breast cancer further emphasize the need to extract specific findings from textual reports [19][20][21][22][23]. Moreover, these imaging findings may enhance BI-RADS assessment for classifying risk within classes (e.g., BI-RADS 3 with microcalcifications) [24], and for predicting histopathologic characteristics that portend poor survival [25,26].…”

The efficacy of molecular subtyping in predicting postoperative recurrence in breast-conserving therapy: a 15-study meta-analysis

“…Recent researches display that BC is a heterogeneous disease [12] and distinct molecular subtypes yield different prognostic outcomes [13-19]. These molecular markers mainly include estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), p53, and Ki67 [14,20]; these have immensely contributed to the selection of the optimal strategy for BCT [21-23]. However, the impact of molecular subtypes on LR or distant recurrence (DR) has not been systemically evaluated.…”

Non-Invasive Evaluation of Axillary Lymph Node Status in Breast Cancer Patients Using Shear Wave Elastography

“…Breast cancer is the most common cancer in women worldwide (Tamaki et al 2011(Tamaki et al , 2012Youl et al 2011). Breast cancer represents a major cause of morbidity and mortality but early detection and the use of optimal treatments, including surgical, radiation and chemoendocrine therapies, have successfully resulted in a decrease in the breast cancer mortality (Rosen et al 1993;Mettlin 1999;Greenlee et al 2001).…”