Alhulail Ahmad A, Albeshan Salman M, Alshuhri Mohammed S, Alkhybari Essam M, Almanaa Mansour A, Alahmad Haitham, Alenazi Khaled, Alshabibi Abdulaziz S, Alsufayan Mohammed, Alsulaiman Saleh A, Almuqbil Maha M, Elsharkawi Mahmoud M, Alghamdi Sultan
Department of Radiology and Medical Imaging, Prince Sattam bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia.
Department of Radiological Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
Diagnostics (Basel). 2025 May 8;15(10):1185. doi: 10.3390/diagnostics15101185.
: Digital mammography is widely used for breast cancer screening; however, variations in system design and automatic exposure control (AEC) strategies can lead to significant differences in radiation dose, potentially affecting the diagnostic quality and patient safety. In this study, we aimed to determine the effect of various mammographic technologies on the in vivo mean glandular doses (MGDs) that are received in clinical settings. : The MGDs and applied acquisition parameters from 194,608 mammograms, acquired employing AEC using different digital mammography systems (GE, Siemens, and two different models of Hologic), were retrospectively collected. The potential variation in MGD resulting from different technologies (system and target/filter combination) was assessed employing the Kruskal-Wallis test, followed by Dunn's post hoc. The AEC optimization of acquisition parameters (kVp, mAs) within each system was investigated through a multi-regression analysis as a function of the compressed breast thickness (CBT). The trend line of these parameters in addition to the MGD and source-to-breast distance were also plotted and compared. : There were significant variations in delivered doses per CBT based on which technology was used ( < 0.001). The regression analyses revealed system-specific differences in AEC adjustments of mAs and kVp in response to CBT changes. As the CBT increases, the MGD increases with different degrees, rates, and patterns across systems due to differences in AEC strategies. : The MGD is affected by the applied technology, which is different between systems. Clinicians need to be aware of these variations and how they affect the MGD. Additionally, manufacturers may need to consider standardizing the implemented technology effects on the MGDs.
数字乳腺摄影广泛用于乳腺癌筛查;然而,系统设计和自动曝光控制(AEC)策略的差异可能导致辐射剂量存在显著差异,这可能会影响诊断质量和患者安全。在本研究中,我们旨在确定各种乳腺摄影技术对临床环境中所接受的体内平均腺体剂量(MGD)的影响。
回顾性收集了194,608例乳腺摄影图像的MGD及应用采集参数,这些图像是使用不同的数字乳腺摄影系统(GE、西门子以及两种不同型号的Hologic)通过AEC采集的。采用Kruskal-Wallis检验评估不同技术(系统和靶/滤过组合)导致的MGD潜在差异,随后进行Dunn事后检验。通过多元回归分析研究每个系统内采集参数(千伏峰值、毫安秒)随压缩乳腺厚度(CBT)的AEC优化情况。还绘制并比较了这些参数以及MGD和源到乳腺距离的趋势线。
基于所使用的技术,每CBT的输送剂量存在显著差异(<0.001)。回归分析揭示了不同系统在响应CBT变化时,毫安秒和千伏峰值的AEC调整存在系统特异性差异。随着CBT增加,由于AEC策略的差异,不同系统的MGD以不同程度、速率和模式增加。
MGD受应用技术的影响,不同系统之间存在差异。临床医生需要了解这些差异以及它们如何影响MGD。此外,制造商可能需要考虑对MGD实施的技术效果进行标准化。