Wu Dee H, Preskitt Caroline, Stratemeier Natalie, Lau Hunter, Ponnam Sreeja, Koya Supriya
University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Kansas City School of Medicine, University of Missouri, Kansas City, MO 64108, USA.
Tomography. 2025 Feb 27;11(3):25. doi: 10.3390/tomography11030025.
BACKGROUND/OBJECTIVES: The accurate detection of microcalcifications in mammograms is critical for the early detection of breast cancer. However, the variability between different manufacturers is significant, particularly with digital breast tomosynthesis (DBT). Manufacturers have many design differences, including sweep angles, detector types, reconstruction techniques, filters, and focal spot construction. This study outlined the development of an innovative phantom model using crystallizations to improve the accuracy of imaging microcalcifications in DBT. The goal of these models was to achieve consistent evaluations, thereby reducing the variability between different scanners.
We created a novel phantom model that simulates different types of breast tissue densities with calcifications. Furthermore, these crystalline-grown phantoms can more accurately represent the physiological shapes and compositions of microcalcifications than do other available phantoms for calcifications and can be evaluated on different systems. Microcalcification patterns were generated using the evaporation of sodium chloride, transplantation of calcium carbonate crystals, and/or injection of hydroxyapatite. These patterns were embedded in multiple layers within the wax to simulate various depths and distributions of calcifications with the ability to generate a large variety of patterns.
The tomosynthesis imaging revealed phantoms that utilized calcium carbonate crystals showed demonstrable visualization differences between the 3D DBT reconstructions and the magnification/2D view, illustrating the model's value. The phantom was able to highlight changes in the contrast and resolution, which is crucial for accurate microcalcification evaluation.
Based on the crystalline growth, this phantom model offers an important new standardized target for evaluating DBT systems. By promoting standardization, especially through the development of advanced breast calcification phantoms, this work and design aimed to contribute to improving earlier and more accurate breast cancer detection.
背景/目的:乳腺钼靶片中微钙化的准确检测对于乳腺癌的早期发现至关重要。然而,不同制造商之间的差异很大,尤其是在数字乳腺断层合成(DBT)方面。制造商有许多设计差异,包括扫描角度、探测器类型、重建技术、滤波器和焦点结构。本研究概述了一种创新的体模模型的开发,该模型利用结晶来提高DBT中微钙化成像的准确性。这些模型的目标是实现一致的评估,从而减少不同扫描仪之间的差异。
我们创建了一种新型体模模型,该模型模拟了带有钙化的不同类型乳腺组织密度。此外,这些晶体生长的体模比其他现有的钙化体模更能准确地代表微钙化的生理形状和组成,并且可以在不同系统上进行评估。微钙化模式是通过氯化钠的蒸发、碳酸钙晶体的移植和/或羟基磷灰石的注射产生的。这些模式被嵌入蜡中的多层中,以模拟钙化的各种深度和分布,能够生成各种各样的模式。
断层合成成像显示,利用碳酸钙晶体的体模在3D DBT重建和放大/2D视图之间显示出明显的可视化差异,说明了该模型的价值。该体模能够突出对比度和分辨率的变化,这对于准确的微钙化评估至关重要。
基于晶体生长,该体模模型为评估DBT系统提供了一个重要的新的标准化目标。通过促进标准化,特别是通过开发先进的乳腺钙化体模,这项工作和设计旨在有助于更早、更准确地检测乳腺癌。