Imaging Surveillance of the Reconstructed Breast in a Subset of Patients May Aid in Early Detection of Breast Cancer Recurrence.

OBJECTIVES: The purpose of this study is to determine the biological markers more frequently associated with recurrence in the reconstructed breast, to evaluate the detection method, and to correlate recurrent breast cancers with the detection method. MATERIAL AND METHODS: An institutional review board-approved retrospective study was conducted at a single institution on 131 patients treated with mastectomy for primary breast cancer followed by breast reconstruction between 2005 and 2012. Imaging features were correlated with clinical and pathologic findings. RESULTS: Of the 131 patients who met our inclusion criteria, 40 patients presented with breast cancer recurrence. The most common histopathologic type of primary breast cancer was invasive ductal carcinoma in 82.5% (33/40) of patients. Triple-negative breast cancer was the most common biological marker with 42.1% (16/38) of cases. Clinically, 70% (28/40) of the recurrences presented as palpable abnormalities. Of nine patients who underwent mammography, a mass was seen in eight patients. Of the 35 patients who underwent ultrasound evaluation, an irregular mass was found in 48.6% (17/35) of patients. Nine patients with recurrent breast cancer underwent breast MRI, and MRI showed an irregular enhancing mass in four patients, an oval mass in four patients, and skin and trabecular thickening in one patient. About 55% of patients with recurrent breast cancer were found to have distant metastases. CONCLUSION: Patients at higher risk for locoregional recurrence may benefit from imaging surveillance in order to detect early local recurrences.

Prediction for Breast Cancer in BI-RADS Category 4 Lesion Categorized by Age and Breast Composition of Women in Songklanagarind Hospital.

BACKGROUND: Older age and dense breast are the important risk factors for breast cancer. The ACR BI-RADS lexicon 5th edition does not mention how patient age and breast density may affect the category assessment. The aim of this study was to investigate whether patient age and breast density influence the positive predictive value (PPV) of mammographic and ultrasonographic findings categorized as BI-RADS category 4 and subcategories 4a, 4b, and 4c among female patients. MATERIALS AND METHODS: A retrospective study was conducted in Songklanagarind Hospital between January 1, 2016 and December 31, 2017 in female patients older than 18 years who had breast lesions categorized as BI-RADS category 4 and subcategories 4a, 4b, 4c. A total of 961 breast lesions consisted of 772 (80.33%) benign lesions and 189 (19.67%) malignant lesions. Categorization was done in each lesion based on age ranges of ≤35 years, >35 to 60 years, and >60 years and breast density according to mammographic breast composition. The PPV for each BI-RADS category was calculated based on the pathological diagnoses and were compared using the chi-square test. RESULTS: The overall PPV in each subcategory was in the reference range. The PPV increased with increasing age: 4% vs. 22.63% vs. 36.67% for category 4 (p-value=0.01); 0% vs. 5.81% vs. 6.88% for subcategory 4a (p-value=0.002); 6.67% vs. 26.62% vs. 51.35% for subcategory 4b (p-value=0.001); and 33.33% vs. 76.92% vs. 81.82% for subcategory 4c (p-value=0.02). An association was not found between PPV and breast density. CONCLUSION: A significantly positive association was found between PPV and age in patients in BI-RADS subcategories 4a, 4b, and 4c. This study could not determine that mammographic breast composition according to the ACR BI-RADS 5th edition was associated with PPV due to improper sample distribution.

MRI-guided needle localization: Indications, tips, tricks, and review of the literature.

We describe the history of, indications for, and techniques involved in MRI-guided needle localization (MRI-NL). MRI-NL continues to be a safe, effective method of sampling lesions that are only detected with MRI, particularly for anatomically challenging lesions such as those near the chest wall, the nipple, the skin, and/or in close proximity to implants.

A Pictorial Review of Sonography of Intramammary Lymph Nodes: When to Care and What to Do About It.

This pictorial essay reviews and illustrates benign and malignant features of intramammary lymph nodes on mammography, ultrasound, and magnetic resonance imaging, including a review of the clinical and the prognostic significance in patients with known breast cancer. This pictorial essay discusses management suggestions for intramammary lymph nodes in patients with breast cancer.

Pseudoangiomatous Stromal Hyperplasia of the Breast: Multimodality Review With Pathologic Correlation.

Pseudoangiomatous stromal hyperplasia (PASH) is a rare benign breast condition. PASH is thought to be hormonally responsive, and it is usually identified in premenopausal and perimenopausal women. PASH may also be seen in postmenopausal woman on hormone replacement therapy (HRT). Approximately 53% of patients with PASH present with abnormalities on screening mammography, and 44% of patients with PASH present with palpable abnormalities. On imaging studies, PASH appears similar to fibroadenomas. On mammography, PASH is usually seen as a noncalcified, circumscribed mass. On ultrasound, PASH often appears as an oval, circumscribed, hypoechoic mass. On magnetic resonance imaging, PASH usually has progressive (Type 1) enhancement, and high-signal slit-like spaces may be seen on T2-weighted and short tau inversion recovery (STIR) images. The slit-like spaces correspond to empty clefts within acellular hyalinized stroma on histopathology. PASH may be mistaken for a low-grade angiosarcoma on pathologic examination. While angiosarcoma has true vascular spaces, PASH has a network of pseudoangiomatous slit-like clefts. Women with biopsy-proven PASH usually undergo follow-up imaging. Surgical excision may be considered for larger lesions and in women at an increased risk for developing breast cancer. In the future, additional studies are needed to provide definitive data regarding appropriate management and long-term outcomes for women with PASH. PASH has become increasingly recognized, but the literature regarding the imaging features of PASH is scarce. This paper reviews the imaging and pathologic features of PASH and some processes that may simulate PASH are discussed. Features of PASH on mammography, ultrasound, MRI, and nuclear medicine studies are discussed with pathologic correlation.

Development and validation of a breast cancer risk prediction model for Thai women: a cross-sectional study.

BACKGROUND: Breast cancer risk prediction models are widely used in clinical practice. They should be useful in identifying high risk women for screening in limited-resource countries. However, previous models showed poor performance in derived and validated settings. Therefore, we aimed to develop and validate a breast cancer risk prediction model for Thai women. MATERIALS AND METHODS: This cross-sectional study consisted of derived and validation phases. Data collected at Ramathibodi and other two hospitals were used for deriving and externally validating models, respectively. Multiple logistic regression was applied to construct the model. Calibration and discrimination performances were assessed using the observed/expected ratio and concordance statistic (C-statistic), respectively. A bootstrap with 200 repetitions was applied for internal validation. RESULTS: Age, menopausal status, body mass index, and use of oral contraceptives were significantly associated with breast cancer and were included in the model. Observed/expected ratio and C-statistic were 1.00 (95% CI: 0.82, 1.21) and 0.651 (95% CI: 0.595, 0.707), respectively. Internal validation showed good performance with a bias of 0.010 (95% CI: 0.002, 0.018) and C-statistic of 0.646(95% CI: 0.642, 0.650). The observed/expected ratio and C-statistic from external validation were 0.97 (95% CI: 0.68, 1.35) and 0.609 (95% CI: 0.511, 0.706), respectively. Risk scores were created and was stratified as low (0-0.86), low-intermediate (0.87-1.14), intermediate-high (1.15-1.52), and high-risk (1.53-3.40) groups. CONCLUSIONS: A Thai breast cancer risk prediction model was created with good calibration and fair discrimination performance. Risk stratification should aid to prioritize high risk women to receive an organized breast cancer screening program in Thailand and other limited-resource countries.

1189 Gastrointestinal stromal tumor (GIST): computed tomographic features and correlation of CT findings with histologic grade.

OBJECTIVE: To characterize the CT features and to identify predictors of malignancy from CT of GISTs. MATERIAL AND METHOD: A retrospective review of CT images of 50 patients with pathologically and immunohistochemically proven GISTs was done by two radiologists and final interpretations were reached by consensus. Images were evaluated for site, size, contour boundary, growth pattern, enhancement pattern, degree of enhancement, necrosis, calcification, ulceration, perilesionalfat stranding, evidence ofbowel obstruction, and signs of malignancy. Categorical variables were compared using Fisher's exact test and continuous variables used the t-test. Univariate and multivariate logistic regression models were used to identify significant predictors ofa high mitotic rate. RESULTS: Of the 50 patients, the most common location of GISTs was stomach (62%) The mean size was 10.2 cm (SD 5.2 cm). The contour was lobulated in 84%. The boundary was smooth in 84%. The growth pattern was exophytic in 68%. Most of tumors had heterogeneous density on post-contrast images (88%). Necrosis (84%), calcification (14%), ulceration (40%), perilesionalfat stranding (44%), and bowel obstruction (2%) were present in the tumors. The CT signs of malignancy found were adjacent organ invasion (18%), ascites (18%), lymphadenopathy (6%), liver metastasis (20%), andperitoneal seeding (16%). Necrosis and peritoneal seeding were statistically significant independent predictors for high mitotic GISTs in multivariate logistic regression (p<0.05). The probability of a high mitotic rate was 1 (95% CI, 0.40-1.00) in the presence of both necrosis and peritoneal seeding. CONCLUSION: The stomach was the most common site of GIST The CT features of GIST were lobulated, smooth tumor margins, exophytic growth pattern, and heterogeneous enhancement on post-contrast CT images. Presence of both necrosis and peritoneal seeding were found to be a significant predictor of high mitotic rate of GISTs. The probability of a high mitotic rate was 1 (95% CI, 0.40-1.00).

Risk factors of breast cancer: a systematic review and meta-analysis.

The etiology of breast cancer might be explained by 2 mechanisms, namely, differentiation and proliferation of breast epithelial cells mediated by hormonal factors. We performed a systematic review and meta-analysis to update effects of risk factors for both mechanisms. MEDLINE and EMBASE were searched up to January 2011. Studies that assessed association between oral contraceptives (OC), hormonal replacement therapy (HRT), diabetes mellitus (DM), or breastfeeding and breast cancer were eligible. Relative risks with their confidence intervals (CIs) were extracted. A random-effects method was applied for pooling the effect size. The pooled odds ratios of OC, HRT, and DM were 1.10 (95% CI = 1.03-1.18), 1.23 (95% CI = 1.21-1.25), and 1.14 (95% CI = 1.09-1.19), respectively, whereas the pooled odds ratio of ever-breastfeeding was 0.72 (95% CI = 0.58-0.89). Our study suggests that OC, HRT, and DM might increase risks, whereas breastfeeding might lower risks of breast cancer.