Objectives: To determine the effectiveness of specimen mammography in breast conserving surgery cases with respect to reduction in margin positivity rate, and to see whether the rate of secondary surgeries is decreased by intra-operative excision based on specimen mammography evaluation.
Methods: The retrospective study was conducted at the Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan, and comprised data from January 2018 to December 2019 related to all female breast cancer patients who underwent mastectomy or breast conserving surgery with the involvement of specimen mammography. Sensitivity, specificity, positive predictive value and negative predictive value of specimen mammography were calculated. Data was analysed using SPSS 20.
Results: Of the 226 patients initially assessed, 65(28.7%) were excluded, and the final sample comprised 161(71.2%) women with mean age 46.71±10.47 years. The sensitivity, specificity, positive predictive value and negative predictive value of specimen mammography for the sample were 65.8%, 80.8%, 54% and 87.3%, respectively. Performing specimen mammography for intra-operative margin assessment in 12 patients was likely to spare one patient from re-excision.
Conclusions: Intra-operative specimen mammography was found to be a reliable tool for assessing margin status.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.47391/JPMA.8397 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Differentiation of histological calcification classifications in breast cancer using ultrashort echo time and chemical shift-encoded imaging MRI.
Front Oncol
December 2024
Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.
Introduction: Ductal carcinoma (DCIS) accounts for 25% of newly diagnosed breast cancer cases with only 14%-53% developing into invasive ductal carcinoma (IDC), but currently overtreated due to inadequate accuracy of mammography. Subtypes of calcification, discernible from histology, has been suggested to have prognostic value in DCIS, while the lipid composition of saturated and unsaturated fatty acids may be altered in synthesis with potential sensitivity to the difference between DCIS and IDC. We therefore set out to examine calcification using ultra short echo time (UTE) MRI and lipid composition using chemical shift-encoded imaging (CSEI), as markers for histological calcification classification, in the initial step towards application.
View Article and Find Full Text PDFA multimodal machine learning model for the stratification of breast cancer risk.
Nat Biomed Eng
December 2024
School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Machine learning models for the diagnosis of breast cancer can facilitate the prediction of cancer risk and subsequent patient management among other clinical tasks. For the models to impact clinical practice, they ought to follow standard workflows, help interpret mammography and ultrasound data, evaluate clinical contextual information, handle incomplete data and be validated in prospective settings. Here we report the development and testing of a multimodal model leveraging mammography and ultrasound modules for the stratification of breast cancer risk based on clinical metadata, mammography and trimodal ultrasound (19,360 images of 5,216 breasts) from 5,025 patients with surgically confirmed pathology across medical centres and scanner manufacturers.
View Article and Find Full Text PDFArticle Synopsis
- A 51-year-old woman with a painless left breast mass was diagnosed with a rare primary breast hydatid cyst after initial conservative treatment failed and surgery was required.* -
- Imaging showed the cyst as BI-RADS 3, and preoperative tests revealed eosinophilia, which helped in confirming the diagnosis post-surgery.* -
- This case emphasizes the need to consider parasitic infections in breast masses and the importance of a collaborative approach in treatment, especially in areas where such infections are more common.*
Micro-CT Microcalcification Analysis: A Scoping Review of Current Applications and Future Potential in Breast Cancer Research.
Tomography
October 2024
Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), 1050 Brussels, Belgium.
Micro-computed tomography (micro-CT) is a non-destructive imaging technique that offers highly detailed, 3D visualizations of a target specimen. In the context of breast cancer, micro-CT has emerged as a promising tool for analyzing microcalcifications (MCs), tiny calcium deposits that can indicate at an early stage the presence of cancer. This review aimed to explore the current applications of micro-CT in analyzing breast MCs (ex vivo, animal models, and phantoms) and to identify potential avenues in scientific research.
View Article and Find Full Text PDFContrast Enhancement in Breast Cancer: Magnetic Resonance vs. Mammography: A 10-Year Systematic Review.
Diagnostics (Basel)
October 2024
SCDU Radiology, "Maggiore della Carità" Hospital, University of Eastern Piedmont, 28100 Novara, Italy.
Purpose: Contrast Enhancement Magnetic Resonance (CEMR) and Contrast-Enhanced Mammography (CEM) are important diagnostic tools to evaluate breast cancer patients, and both are objects of interest in the literature. The purpose of this systematic review was to select publications from the last ten years in order to evaluate the literature contributions related to the frequency of contrast agents used, administration techniques and the presence of adverse reactions.
Methods: We have selected, according to the PRISMA statement, publications reviewed on Pub Med in the period from 1 January 2012 to 31 December 2022.
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!