Elshemey Wael M, Elsharkawy Wafaa B
Biophysics Department, Faculty of Science, Cairo University, Egypt.
Phys Med Biol. 2009 Jun 21;54(12):3773-84. doi: 10.1088/0031-9155/54/12/011. Epub 2009 May 28.
In the last decade there has been growing interest in the possibility of characterizing breast cancer using differences in the coherent x-ray-scattering profiles of normal and malignant tissues. To a great extent, characterization has depended on the differences in the peak positions of both tissues in addition to the overall profile which exhibits a distinctive sharp adipose peak in the case of a normal breast. In many excised tissue samples, breast cancer samples may be mixed with a variable percentage of other tissues which affect the shape of the x-ray-scattering profile and consequently the ability to characterize the tissue. Moreover, fibroglandular tissue produces a scattering profile showing an extent of similarity to breast cancer. The present study introduces a Monte Carlo simulation code capable of tracing photon transport inside a mixed two-component sample. The code is utilized to simulate and best fit x-ray-scattering profiles of the measured samples. This provides reliable breast tissue characterization in addition to a quantitative estimate of the percentage of each component in a given sample. It is expected that the present simulation would potentially enhance the characterization of breast cancer using the x-ray-scattering technique.
在过去十年中,利用正常组织和恶性组织相干X射线散射谱的差异来表征乳腺癌的可能性引起了越来越多的关注。在很大程度上,表征不仅依赖于两种组织峰值位置的差异,还依赖于整体谱,在正常乳腺的情况下,整体谱呈现出独特的尖锐脂肪峰。在许多切除的组织样本中,乳腺癌样本可能与不同比例的其他组织混合,这会影响X射线散射谱的形状,进而影响表征组织的能力。此外,纤维腺组织产生的散射谱与乳腺癌有一定程度的相似性。本研究引入了一种蒙特卡罗模拟代码,能够追踪光子在混合双组分样本中的传输。该代码用于模拟并最佳拟合测量样本的X射线散射谱。这不仅提供了可靠的乳腺组织表征,还对给定样本中各组分的百分比进行了定量估计。预计本模拟将有可能增强利用X射线散射技术对乳腺癌的表征。