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Screening mammography has been proven to reduce the mortality from breast cancer by approximately 30%, however, it is less sensitive in women with dense breast tissue and certain risk groups. Supplemental screening may be considered based on the patient's risk level and breast density. In all women, digital breast tomosynthesis improves screening sensitivity. Average-risk women with heterogeneously dense tissue may also benefit from breast MRI, abbreviated breast MRI (AB-MRI) or breast ultrasound (US). In intermediate-risk women with nondense tissue, breast MRI and ABMRI may be appropriate. In intermediate-risk women with heterogeneously dense and extremely dense tissue, breast MRI and AB-MRI are usually appropriate, whereas US and contrast-enhanced mammography (CEM) may be appropriate. Breast MRI or ABMRI is usually appropriate in all high-risk women, regardless of density. Screening breast US or CEM could be considered in this population. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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http://dx.doi.org/10.1016/j.jacr.2025.02.023 | DOI Listing |
Magn Reson Med Sci
September 2025
Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Schleswig-Holstein, Germany.
Purpose: The ability to accurately detect and characterize intramammary micro- and macrocalcifications without ionized radiation has significant clinical implications for early breast cancer assessment. The aim of this prospective study was to investigate the feasibility of detecting intramammary calcifications using 3D multi-echo gradient echo (ME-GRE) magnitude and true susceptibility-weighted images (tSWI) compared to digital mammography (DM) in patients with different breast sizes and densities of breast parenchyma at 1.5T.
View Article and Find Full Text PDFJ Control Release
September 2025
School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, Guangdong, China; Dongguan Liaobu Hospital, Dongguan 523400, Guangdong, China. Electronic address:
Fluorine-19 magnetic resonance imaging (F MRI) offers distinct advantages, including background-free signal detection, quantitative analysis, and deep tissue penetration. However, its application is currently limited by challenges associated with existing F MRI contrast agents, such as short transverse relaxation times (T), limited imaging sensitivity, and suboptimal biocompatibility. To overcome these limitations, a glutathione (GSH)-responsive triblock copolymer (PB7), featuring self-immolative characteristics, has been developed.
View Article and Find Full Text PDFComput Methods Programs Biomed
September 2025
Electrical and Computer Engineering Department, School of Engineering, Morgan State University, Baltimore, MD, 21251, USA. Electronic address:
Breast Cancer (BC) remains a leading cause of morbidity and mortality among women globally, accounting for 30% of all new cancer cases (with approximately 44,000 women dying), according to recent American Cancer Society reports. Therefore, accurate BC screening, diagnosis, and classification are crucial for timely interventions and improved patient outcomes. The main goal of this paper is to provide a comprehensive review of the latest advancements in BC detection, focusing on diagnostic BC imaging, Artificial Intelligence (AI) driven analysis, and health disparity considerations.
View Article and Find Full Text PDFComput Methods Programs Biomed
August 2025
Zhengzhou University, School of Computer and Artificial Intelligence, Zhengzhou, 450001, China. Electronic address:
Background And Objective: The early detection of breast cancer plays a critical role in improving survival rates and facilitating precise medical interventions. Therefore, the automated identification of breast abnormalities becomes paramount, significantly enhancing the prospects of successful treatment outcomes. To address this imperative, our research leverages multiple modalities such as MRI, CT, and mammography to detect and screen for breast cancer.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
September 2025
Department of PET-CT/MRI, NHC Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University Cancer Hospital, Harbin, 150081, Heilongjiang, China.
Objective: CXCR4 and integrin αβ play important roles in tumor biology and are highly expressed in multiple types of tumors. This study aimed to synthesize, preclinically evaluate, and clinically validate a novel dual-targeted PET imaging probe Ga-pentixafor-c(RGDfK) for its potential in imaging tumors.
Methods: The effects of Ga-pentixafor-c(RGDfK) on cell viability, targeting specificity, and affinity were assessed in the U87MG cells.