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Background: Breast microcalcifications are a category of lesions that can lead to malignancies. They remain a major concern in imaging of suspected cases. Vacuum-assisted biopsy (VAB) has been proposed as a safe and effective measure to evaluate microcalcifications. Objectives: The present study aimed to assess the results of VAB for breast microcalcifications. Patients and Methods: This cross-sectional study was conducted on patients with microcalcifications detected on mammograms. Patients were recruited through simple random sampling during 2019 - 2020, based on the inclusion criteria. The inclusion criteria were microcalcifications on mammography, classified as the breast imaging-reporting and data system (BI-RADS) categories 3, 4B, 4C, and 5, and undergoing mammography-guided VAB for the microcalcifications. Patients with missing data and those who could not be followed-up for at least six months were excluded from the study. They were assessed regarding different imaging characteristics of lesions, including the breast density, BI-RADS classification, microcalcification distribution and morphology, and other demographic and clinical features before biopsy. Additionally, the results of stereotactic-guided VAB were assessed for various benign and malignant pathologies of microcalcifications. The results of descriptive and analytical tests for various radiological and pathological features of lesions were reported. Results: A total of 257 patients, with a mean age of 50.3 ± 8.3 yars, were included in this study. Almost half of the patients (n = 125, 48.6%) had a C-grade breast composition. Regarding the BI-RADS classification, 206 (80.2%) patients were diagnosed with 4B lesions, followed by 44 (17.1%) patients with 4C lesions. The assessment of the pattern of microcalcification distribution in imaging showed that more than half of the patients (n = 148, 57.6%) had lesions in multiple groups. The most prevalent morphology of microcalcifications was punctate amorphous (n = 109, 42.4%). The majority of patients (n = 180, 70%) had benign findings in the pathological assessment, and only 69 (26.8%) had malignant features in pathology. The distribution of malignancies differedamong various BI-RADS categories. In the 4B category of lesions, there were 166 benign lesions versus 32 malignant lesions, while in the 4C category, there were 10 benign lesions versus 34 malignant lesions (P < 0.001). Conclusion: This study described the findings of successful stereotactic-guided VAB for breast microcalcifications. VAB can be implemented as a promising assessment tool to evaluate suspected breast microcalcifications effectively. [ABSTRACT FROM AUTHOR]

To investigate the relationship between breast cancer imaging features on magnetic resonance imaging (MRI) and histopathological characteristics. We prospectively enrolled 46 patients who underwent 1.5-T MRI with 68 breast malignant lesions from 2017 until 2019. Peritumoral edema was determined based on visual assessment on T2 weighted imaging. Lesions were categorized into two groups: A: with edema (48 lesions) and B: without edema (20 lesions). The tumor size was not different among two groups but multifocal-multicentric lesions were more common in the group A (70% vs. 35%). The axillary lymph nodes are most involved in group A. ER and PR positive lesions were more common in group B (90% vs. 56.3%) but in the group A, HER2 positive lesions were found to be more common (31.3% vs. 15%). The mean ADC value in tumors and peritumoral regions were lower (0.97 × 10−3 mm2/s, P = 0.023) and higher (1.85 × 10−3 mm2/s, P < 0.0001) in group A, respectively. Peritumoral ADC value was significantly higher in HER2-positive group. Breast carcinomas with peritumoral edema were found to be more multifocal-multicentric, with higher prevalence of axillary lymph node involvement, more HER 2-positive, with lower prevalence of ER/PR-positive, lower tumoral ADC and higher peritumoral ADC values. • Peritumoral edema observed in breast MRI may be used as an independent factor in the future prognostication of breast cancer. • Multifocal/centric lesions, ER+/PR+ status, and LN+ status were more frequent in lesions with peritumoral edema. • A trend toward higher peritumoral ADCs was observed in HER2+ status compared to ER+/PR+ and high Ki-67 status. [ABSTRACT FROM AUTHOR]

Background: Pseudoaneurysm of the breast is a very uncommon disease mostly occurring following traumatic injuries including biopsy. Increasing the use of core needle biopsy in breast pathologies could lead to more cases of the iatrogenic pseudoaneurysm. Case presentation: Here we described a breast pseudoaneurysm case that occurred after core needle biopsy. The diagnosis was made by color doppler ultrasonography and MRI with contrast. Ultrasound-guided compression was used to treat the lesion. The lesion was followed up with ultrasonography and finally it was resolved. Conclusion: Although hematoma is a more common complication of breast biopsy, other complications including pseudoaneurysm should be kept in mind. Ultrasound is a useful technique for both the diagnosis and non-surgical treatment of the disease. Ultrasound-guided compression and follow up exams could be helpful to prevent invasive procedures. [ABSTRACT FROM AUTHOR]

Detecting the micrometastasis is a major challenge in patients' survival. The small volume of the biopsied tissue results in limited number of histopathological samples and might reduce the rate of accurate diagnosis even by molecular technologies. We introduce a microelectronic biochip (named Metas-Chip) to detect the micrometastasis in unprocessed liquid or solid samples. It works based on the tendency of malignant cells to track single human umbilical vein endothelial cell (HUVEC)-sensing traps. Such cells detach themselves from the biopsied sample and invade the sensing traps by inducing membrane retraction and blebbing, which result in sharp changes in electrical response of the sensing elements. Metas-Chip identified the metastasis in more than 70 breast cancer patients, in less than 5 h. Moreover it detected the metastasis in lymph nodes of nine patients whom were missed by conventional pathological procedure. Multilevel IHC and real-time polymerase chain reaction (RT-PCR) tests confirmed the diagnosis. [ABSTRACT FROM AUTHOR]

Background and Objective Breast cancer is a major cause of mortality among women if not treated in early stages. Previous works developed non-invasive diagnosis methods using imaging data, focusing on specific sets of features that can be called spatial features or temporal features. However, limited set of features carry limited information, requiring complex classification methods to diagnose the disease. For non-invasive diagnosis, different imaging modalities can be used. DCE-MRI is one of the best imaging techniques that provides temporal information about the kinetics of the contrast agent in suspicious lesions along with acceptable spatial resolution. Methods We have extracted and studied a comprehensive set of features from spatiotemporal space to obtain maximum available information from the DCE-MRI data. Then, we have applied a feature fusion technique to remove common information and extract a feature set with maximum information to be used by a simple classification method. We have also implemented conventional feature selection and classification methods and compared them with our proposed approach. Results Experimental results obtained from DCE-MRI data of 26 biopsy or short-term follow-up proven patients illustrate that the proposed method outperforms alternative methods. The proposed method achieves a classification accuracy of 99% without missing any of the malignant cases. Conclusions The proposed method may help physicians determine the likelihood of malignancy in breast cancer using DCE-MRI without biopsy. [ABSTRACT FROM AUTHOR]