AI Article Synopsis

  • The study aimed to evaluate the effectiveness of ultrasound in identifying the nature of palpable breast masses based on the BI-RADS classification system.
  • The research involved analyzing ultrasound results from 30 women and correlating BI-RADS categories with surgical biopsy findings.
  • The results showed that all BI-RADS 5 masses were malignant, while BI-RADS 4A masses were mostly benign, indicating that ultrasound BI-RADS can effectively categorize breast lesions and should be followed by biopsy for further investigation.

Article Abstract

Background/aim: Not only that ultrasound makes the difference between cystic and solid changes in breast tissue, as it was the case at the beginning of its use, but it also makes the differential diagnosis in terms of benign-malignant. The aim of this study was to assess the role of sonography in the diagnosis of palpable breast masses according to the American College of Radiology Ultrasonographic Breast Imaging Reporting and Data System (BI-RADS) and to correlate the BI-RADS 4 and BI-RADS 5 category with pathohistological findings.

Methods: A retrospective study was conducted with the breast sonograms of 30 women presented with palpable breast masses found to be mammography category BI-RADS 0 and ultrasonographic BI-RADS categories 4 and 5. The sonographic categories were correlated with pathohistological findings.

Results: Surgical biopsy in 30 masses revealed: malignancy (56.7%), fibroadenoma (26.7%), fibrocystic dysplasia with/without atypia (10/6), lipoma (3.3%) and intramammary lymph node (3.3%). Correlation between BI-RADS categories and pathohistological findings was found (P < 0.05). All BI-RADS 5 masses were malignant, while in BI-RADS 4A category fibroadenomas dominated. A total of 53.8% of all benign lesions were found in women 49 years of age or younger as compared with 35.3% of all malignancies in this group (p < 0.05).

Conclusion: Ultrasonography BI-RADS improved classification of breast masses. The ultrasound BI-RADS 4 (A, B, C) and BI-RADS 5 lesions should be worked-up with biopsy.

Download full-text PDF

Source
http://dx.doi.org/10.2298/vsp140508001dDOI Listing

Publication Analysis

Top Keywords

bi-rads
12
breast masses
12
palpable breast
8
bi-rads bi-rads
8
bi-rads category
8
bi-rads categories
8
breast
7
masses
5
diagnostic breast
4
breast ultrasound
4

Similar Publications

Background: Flat epithelial atypia (FEA), a rare breast proliferative lesion, is often diagnosed following core biopsy (CB) of mammographic microcalcifications. In the prospective multi-institution TBCRC 034 trial, we investigate the upgrade rate to ductal carcinoma in situ (DCIS) or invasive cancer following excision for patients diagnosed with FEA on CB.

Patients And Methods: Patients with a breast imaging reporting and data system (BI-RADS) ≤ 4 imaging abnormality and a concordant CB diagnosis of FEA were identified for excision.

View Article and Find Full Text PDF

Objective: To investigate integrating an artificial intelligence (AI) system into diagnostic breast ultrasound (US) for improved performance.

Materials And Methods: Seventy suspicious breast mass lesions (53 malignant and 17 benign) from seventy women who underwent diagnostic breast US complemented with shear wave elastography, US-guided core needle biopsy and verified histopathology were enrolled. Two radiologists, one with 15 years of experience and the other with one year of experience, evaluated the images for breast imaging-reporting and data system (BI-RADS) scoring.

View Article and Find Full Text PDF

Background parenchymal enhancement in CEM and MRI: Is there always a high agreement?

Eur J Radiol

December 2024

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Währinger Gürtel 18-20, Vienna 1180, Austria.

Introduction: Background parenchymal enhancement (BPE) refers to the physiological enhancement of breast fibroglandular tissue. This study aimed to determine the agreement of BPE evaluation between contrast enhanced mammography (CEM) and magnetic resonance imaging (MRI) and investigate potential confounders.

Materials And Methods: This retrospective, IRB-approved study included women recalled from screening or with inconclusive findings on mammography and/or ultrasound, who underwent both CEM and MRI between 2018 and 2022.

View Article and Find Full Text PDF

This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound images to assist radiologists in distinguishing between benign breast lesions (BBL) and malignant breast lesions (MBL). A total of 382 patients with breast lesions were included, comprising 183 benign lesions and 199 malignant lesions that were collected and confirmed through clinical pathology or biopsy. The enrolled patients were randomly allocated into two groups: a training cohort and an independent test cohort, maintaining a ratio of 7:3.

View Article and Find Full Text PDF

Effect of needle size on outcomes of vacuum-assisted excision of breast lesions. A randomized controlled trial.

Eur J Radiol

December 2024

Department of Radiology, Karolinska University Hospital, Stockholm, Sweden; Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.

Background: Utilizing a larger needle-size instead of a smaller one in vacuum-assisted excision of breast lesions might enhance the effectiveness of the method. We conducted a clinical trial to investigate the effects of needle size 7G compared to 10G regarding excision completeness and procedural efficiency.

Materials And Methods: In this prospective, single-blinded, randomized clinical trial, the patients were enrolled between November 2019 and August 2022.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!