Background: The authors performed a pilot trial of ultrasound-guided percutaneous radiofrequency ablation (RFA) in patients with T1 and T2 breast tumors 1) to confirm complete coagulative necrosis of tumor tissue and 2) to determine the safety and complications related to this treatment.
Methods: Twenty-six patients with biopsy-proven, invasive breast carcinoma underwent RFA of their breast tumors followed by immediate resection. Treatment was planned to ablate the tumor and a 5 mm margin of surrounding breast tissue. Tumor viability after RFA was assessed by hematoxylin and eosin and nicotinamide adenine dinucleotide vital staining.
Results: Twenty patients (77%) had T1 tumors, and six patients (23%) had T2 tumors. The mean greatest dimension of tumors that were treated with RFA was 1.8 cm (range, 0.7-3.0 cm). The mean treatment time for two-phase RFA treatment was 15 minutes and 23 seconds (range, from 6 minutes and 25 seconds to 24 minutes and 54 seconds). Coagulation necrosis of the tumor was complete in 25 of 26 patients (96%): One patient had a microscopic focus of viable tissue adjacent to the needle shaft site. A single patient (1 of 26 patients; 4%) had a complication related to RFA: a full thickness burn of the skin overlying a tumor that was immediately beneath the skin.
Conclusions: This pilot experience with RFA in the treatment of patients with early-stage, primary breast carcinoma revealed that 1) coagulative necrosis of the entire tumor occurred in 96% of the patients, and 2) the treatment was safe, with only a 4% complication rate. The authors have initiated a trial of RFA alone (no resection) for patients with T1 and T2 breast tumors that will include sentinel lymph node mapping and postablation irradiation.
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http://dx.doi.org/10.1002/1097-0142(20011015)92:8<2036::aid-cncr1542>3.0.co;2-w | DOI Listing |
J Med Internet Res
January 2025
Cancer Screening, American Cancer Society, Atlanta, GA, United States.
Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.
Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.
Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.
Cien Saude Colet
January 2025
Universidade Federal do Ceará. R. Alexandre Baraúna 1115, Rodolfo Teófilo. 60430-160 Fortaleza CE Brasil.
Mammography is one of the main methods available for breast cancer screening in Brazil. However, differences in timely access and performance of the exam can be highlighted based on social determinants of health, considered relevant due to their influence on the health situation of a population. Thus, the present study aimed to identify the social determinants of health associated with access to and performance of mammography in Brazilian women.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Instituto René Rachou, Fundação Oswaldo Cruz (Fiocruz Minas). Av. Augusto de Lima 1715, Barro Preto. 30190-002 Belo Horizonte MG Brasil.
This article aims to identify the relationship between material deprivation and mortality from breast, cervical, and prostate neoplasms in the Brazilian adult population and the relationship between ethnicity/skin color and material deprivation. This cross-sectional ecological study calculated the mean mortality rate per 100,000 inhabitants, and deaths were standardized by age and gender and redistributed per to ill-defined causes, stratified by age group and ethnicity/skin color. We applied the Negative Binomial model, containing the interaction between ethnicity/skin color and the Brazilian Deprivation Index (IBP).
View Article and Find Full Text PDFBrief Bioinform
November 2024
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Department of Biology, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Background: Breast carcinoma stands out as the most widespread invasive cancer and the top contributor to cancer-related mortality in women. Nanoparticles have emerged as promising tools in cancer detection, diagnosis, and prevention. In this study, the antitumor and apoptotic capability of silver nanoparticles synthesized through Scrophularia striata extract (AgNPs-SSE) was investigated toward breast cancer cells.
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