近红外荧光光子在乳腺组织中迁移的蒙特卡罗模型用于肿瘤预测

IF 0.8 Q4 ENGINEERING, BIOMEDICAL
T. Iida, T. Jin, Y. Nomura
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引用次数: 3

摘要

乳腺癌是日本女性最常见的癌症之一。为了解决与乳房x线摄影和超声检查相关的低空间分辨率挑战,我们重点研究了利用荧光观察细胞和亚细胞结构的潜力。活体组织中的光散射导致体内成像分辨率的降低。然而,近红外区的散射比可见光区的散射弱。因此,研究近红外荧光在组织内的激发和发射光子的行为是必要的,这可以应用于乳腺癌的检测。我们改进了先前的多层荧光蒙特卡罗体内神经成像模型,利用量子点作为可见光和近红外光检测早期乳腺肿瘤的第一步,建立了一个包含皮肤、乳腺组织和肿瘤的模型。在本研究中,根据荧光发生的机理,适当设置荧光团浓度和量子产率参数。当荧光肿瘤嵌入乳腺组织模型的深度和大小发生变化时,从乳腺表面检测除强度外的激发和发射影响。与可见荧光(Ex 488 / Em 520)相比,使用近红外荧光(Ex 780 / Em 820)对乳腺癌进行蒙特卡罗模拟可用于在1.0 cm深度检测直径1.0 cm的肿瘤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monte Carlo Modeling of Near-infrared Fluorescence Photon Migration in Breast Tissue for Tumor Prediction
Breast cancer is one of the most common types of cancer in Japanese women. To address the low spatial resolution challenges associated with mammography and ultrasonography, we focused on the potential of using fluorescence to observe cellular and subcellular structures. Light scattering in living tissue causes a de-crease in resolution in in vivo imaging. However, scattering in near-infrared region is weaker than that in the visible region. Therefore, it is essential to investigate the behavior of excitation and emission photons in near-in-frared fluorescence within tissues, which could be applied in the detection of breast cancer. We modified our previous multi-layered fluorescence Monte Carlo model of in vivo neuroimaging using quantum dots as the first step for the detection of early-stage breast tumor using both visible and near-infrared light, and developed a model containing skin, breast tissue, and tumor. In the present study, fluorophore concentration and quantum yield parameters were set appropriately based on the mechanism of fluorescence onset. When the depths and sizes of a fluorescent tumor embedded in the breast tissue model were varied, excitation and emission fluence, in addition to intensity were examined from the breast surface. In contrast to visible fluorescence (Ex 488 / Em 520), Monte Carlo simulation for breast cancer using near-infrared fluorescence (Ex 780 / Em 820) could be used to detect a tumor 1.0 cm in diameter at a depth of 1.0 cm.
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来源期刊
Advanced Biomedical Engineering
Advanced Biomedical Engineering ENGINEERING, BIOMEDICAL-
CiteScore
1.40
自引率
10.00%
发文量
15
审稿时长
15 weeks
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