Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, California 94143, USA.
Med Phys. 2009 Dec;36(12):5525-36. doi: 10.1118/1.3253972.
This study describes the design and characteristics of a highly accurate, precise, and automated single-energy method to quantify percent fibroglandular tissue volume (%FGV) and fibroglandular tissue volume (FGV) using digital screening mammography.
The method uses a breast tissue-equivalent phantom in the unused portion of the mammogram as a reference to estimate breast composition. The phantom is used to calculate breast thickness and composition for each image regardless of x-ray technique or the presence of paddle tilt. The phantom adheres to the top of the mammographic compression paddle and stays in place for both craniocaudal and mediolateral oblique screening views. We describe the automated method to identify the phantom and paddle orientation with a three-dimensional reconstruction least-squares technique. A series of test phantoms, with a breast thickness range of 0.5-8 cm and a %FGV of 0%-100%, were made to test the accuracy and precision of the technique.
Using test phantoms, the estimated repeatability standard deviation equaled 2%, with a +/-2% accuracy for the entire thickness and density ranges. Without correction, paddle tilt was found to create large errors in the measured density values of up to 7%/mm difference from actual breast thickness. This new density measurement is stable over time, with no significant drifts in calibration noted during a four-month period. Comparisons of %FGV to mammographic percent density and left to right breast %FGV were highly correlated (r=0.83 and 0.94, respectively).
An automated method for quantifying fibroglandular tissue volume has been developed. It exhibited good accuracy and precision for a broad range of breast thicknesses, paddle tilt angles, and %FGV values. Clinical testing showed high correlation to mammographic density and between left and right breasts.
本研究描述了一种高度准确、精确和自动化的单能量方法,用于使用数字筛查乳房 X 光摄影术量化纤维腺体组织体积(%FGV)和纤维腺体组织体积(FGV)。
该方法使用乳房组织等效体模在乳房 X 光片的未使用部分作为参考,以估计乳房成分。该体模用于为每个图像计算乳房厚度和成分,无论 X 射线技术或桨叶倾斜的存在如何。该体模贴合在乳房 X 光摄影压缩桨的顶部,并在头尾位和内外斜位筛查视图中保持原位。我们描述了一种自动方法,使用三维重建最小二乘法技术来识别体模和桨叶的方向。制作了一系列测试体模,其乳房厚度范围为 0.5-8 厘米,%FGV 为 0%-100%,以测试该技术的准确性和精密度。
使用测试体模,估计的重复性标准偏差等于 2%,在整个厚度和密度范围内具有 +/-2%的准确性。未经校正,桨叶倾斜会导致测量密度值产生高达 7%/mm 的大误差,与实际乳房厚度相差 7%/mm。这种新的密度测量值在一段时间内是稳定的,在四个月的时间内没有发现校准明显漂移。%FGV 与乳房 X 光摄影百分比密度和左右乳房 %FGV 的相关性很高(分别为 r=0.83 和 0.94)。
已经开发出一种用于量化纤维腺体组织体积的自动化方法。它在广泛的乳房厚度、桨叶倾斜角度和%FGV 值范围内表现出良好的准确性和精密度。临床测试显示与乳房 X 光摄影密度和左右乳房之间具有高度相关性。