Nazli A Moda, Mo'ayyad E Suleiman, Sahand Hooshmand, Warren M Reed
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引用次数: 0
Abstract
Breast cancer is the most commonly diagnosed cancer among women worldwide, and concerns regarding radiation exposure from mammography screening remain a potential barrier to participation. This scoping review explores existing models estimating long-term radiation risks associated with repeated mammography screening. A structured search across five databases (Medline, Embase, Scopus, Web of Science and CINAHL) along with manual searching identified 24 studies published between 2014 and 2024. These were categorised into three themes: (1) models estimating dose-risk profiles, (2) factors affecting radiation dose and (3) the use of artificial intelligence (AI) in dose estimation and mammographic breast density (MBD) estimation. Studies showed that breast density, compressed breast thickness (CBT) and technical imaging parameters significantly influence mean glandular dose (MGD). Modelling studies highlighted the low risk of radiation-induced cancer, inconsistencies in protocols and vendor-specific limitations. AI applications are emerging as promising tools for improving individualised dose-risk assessments but require further development for compatibility across different imaging platforms.
乳腺癌是全世界妇女中最常见的诊断癌症,对乳房x光检查的辐射暴露的担忧仍然是参与的潜在障碍。本综述探讨了与重复乳房x光检查相关的长期辐射风险的现有模型。通过五个数据库(Medline, Embase, Scopus, Web of Science和CINAHL)的结构化搜索以及人工搜索,确定了2014年至2024年间发表的24项研究。这些研究分为三个主题:(1)估计剂量-风险概况的模型;(2)影响辐射剂量的因素;(3)人工智能(AI)在剂量估计和乳房x线摄影乳腺密度(MBD)估计中的应用。研究表明,乳腺密度、压缩乳腺厚度(CBT)和技术成像参数对平均腺体剂量(MGD)有显著影响。模型研究强调了辐射诱发癌症的低风险、协议的不一致以及供应商特定的限制。人工智能应用正在成为改善个性化剂量风险评估的有前途的工具,但需要进一步开发不同成像平台之间的兼容性。
期刊介绍:
Journal of Medical Radiation Sciences (JMRS) is an international and multidisciplinary peer-reviewed journal that accepts manuscripts related to medical imaging / diagnostic radiography, radiation therapy, nuclear medicine, medical ultrasound / sonography, and the complementary disciplines of medical physics, radiology, radiation oncology, nursing, psychology and sociology. Manuscripts may take the form of: original articles, review articles, commentary articles, technical evaluations, case series and case studies. JMRS promotes excellence in international medical radiation science by the publication of contemporary and advanced research that encourages the adoption of the best clinical, scientific and educational practices in international communities. JMRS is the official professional journal of the Australian Society of Medical Imaging and Radiation Therapy (ASMIRT) and the New Zealand Institute of Medical Radiation Technology (NZIMRT).