通过蒙特卡罗模拟,利用乳腺癌患者的数字乳房幻影来预测光动力治疗效果。

IF 2.9 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS
Journal of Biomedical Optics Pub Date : 2025-12-01 Epub Date: 2025-09-23 DOI:10.1117/1.JBO.30.S3.S34110
Yugo Minegishi, Yasutomo Nomura
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引用次数: 0

摘要

意义:由近红外(NIR)光激活的光动力疗法(PDT)药物在动物实验中已经证明是有效的。然而,由于生物相容性的考虑,缺乏人体临床试验。我们利用新开发的上转换纳米粒子-量子点-玫瑰孟加拉(UCQRs)通过蒙特卡罗模拟评估了NIR-PDT的可行性。目的:手术,乳腺癌的主要治疗方式,往往降低生活质量由于疤痕,需要一个更小的侵入性替代。在此,我们提出一种使用UCQRs的NIR-PDT方法来治疗早期乳腺癌患者。可对俯卧位患者单独使用光照射进行治疗,显著减轻患者负担。在使用UCQR的NIR-PDT中,根据808 nm激发光的穿透深度,可以预期处理深度为3至4 cm。方法:我们通过重建乳房计算机断层扫描的乳房切片图像,创建了150个数字乳房幻象。根据乳腺密度和肿瘤深度对这些幻象进行分类,并在有代表性的模型上进行模拟。NIR-PDT的治疗效果是根据产生的单线态氧的量来评估的,由肿瘤体素的影响来计算。结果:模拟结果表明,肿瘤深度比乳房轮廓或乳房结构对治疗效果的影响更大。在所有幻象中,直径为7mm的肿瘤嵌入深度为15至25mm,产生的单线态氧在所有肿瘤体素中都超过了细胞死亡阈值。15至20毫米的浅层肿瘤只需15次或更少的照射即可治疗,而20至25毫米的深层肿瘤估计需要多达45次照射。结论:这项使用150个数字幻影的虚拟临床试验表明,NIR-PDT结合UCQRs为治疗乳腺癌提供了一种有前途的微创替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Prediction of the photodynamic therapy effect using digital breast phantoms from patients with breast cancer via Monte Carlo simulations.

Prediction of the photodynamic therapy effect using digital breast phantoms from patients with breast cancer via Monte Carlo simulations.

Prediction of the photodynamic therapy effect using digital breast phantoms from patients with breast cancer via Monte Carlo simulations.

Prediction of the photodynamic therapy effect using digital breast phantoms from patients with breast cancer via Monte Carlo simulations.

Significance: Photodynamic therapy (PDT) agents activated by near-infrared (NIR) light have demonstrated effectiveness in animal studies. However, clinical trials in humans are lacking due to biocompatibility concerns. We evaluate the feasibility of NIR-PDT using newly developed upconversion nanoparticles-quantum dots-Rose Bengal (UCQRs) through Monte Carlo simulations.

Aim: Surgery, the primary treatment mode for breast cancer, often reduces the quality of life due to scarring, necessitating a less invasive alternative. Herein, we propose an NIR-PDT approach using UCQRs to treat patients with early-stage breast cancer. The treatment can be performed on patients in the prone position using light irradiation alone, significantly reducing the burden on patients. In NIR-PDT using UCQR, a treatment depth of 3 to 4 cm can be expected based on the penetration depth of the 808-nm excitation light.

Approach: We created 150 digital breast phantoms by reconstructing breast slice images from breast computed tomography scans. These phantoms were classified by breast density and tumor depth, and simulations were performed on representative models. The therapeutic effect of NIR-PDT was assessed based on the amount of singlet oxygen generated, calculated from the fluence in the tumor voxels.

Results: The simulations indicated that tumor depth had a greater impact on the therapeutic outcomes compared with breast contour or structure. In all phantoms where tumors with a 7-mm diameter were embedded at depths of 15 to 25 mm, the generated singlet oxygen exceeded the cell death threshold across all tumor voxels. Shallow tumors between 15 and 20 mm can be treated with 15 or fewer irradiations, whereas deep tumors between 20 and 25 mm are estimated to require up to 45 irradiations.

Conclusions: This virtual clinical trial using 150 digital phantoms suggests that NIR-PDT with UCQRs offers a promising, minimally invasive alternative for treating breast cancer.

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来源期刊
CiteScore
6.40
自引率
5.70%
发文量
263
审稿时长
2 months
期刊介绍: The Journal of Biomedical Optics publishes peer-reviewed papers on the use of modern optical technology for improved health care and biomedical research.
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