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光动力疗法后乳腺癌组织的体外磁共振成像

Magnetic Resonance Imaging in Breast Cancer Tissue In Vitro after PDT Therapy.

作者信息

Bartusik-Aebisher Dorota, Mytych Wiktoria, Dynarowicz Klaudia, Myśliwiec Angelika, Machorowska-Pieniążek Agnieszka, Cieślar Grzegorz, Kawczyk-Krupka Aleksandra, Aebisher David

机构信息

Department of Biochemistry and General Chemistry, Medical College of the University of Rzeszów, 35-959 Rzeszów, Poland.

Students English Division Science Club, Medical College of the University of Rzeszów, 35-959 Rzeszów, Poland.

出版信息

Diagnostics (Basel). 2024 Mar 6;14(5):563. doi: 10.3390/diagnostics14050563.


DOI:10.3390/diagnostics14050563
PMID:38473036
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10930664/
Abstract

Photodynamic therapy (PDT) is increasingly used in modern medicine. It has found application in the treatment of breast cancer. The most common cancer among women is breast cancer. We collected cancer cells from the breast from the material received after surgery. We focused on tumors that were larger than 10 mm in size. Breast cancer tissues for this quantitative non-contrast magnetic resonance imaging (MRI) study could be seen macroscopically. The current study aimed to present findings on quantitative non-contrast MRI of breast cancer cells post-PDT through the evaluation of relaxation times. The aim of this work was to use and optimize a 1.5 T MRI system. MRI tests were performed using a clinical scanner, namely the OPTIMA MR360 manufactured by General Electric HealthCare. The work included analysis of T1 and T2 relaxation times. This analysis was performed using the MATLAB package (produced by MathWorks). The created application is based on medical MRI images saved in the DICOM3.0 standard. T1 and T2 measurements were subjected to the Shapiro-Wilk test, which showed that both samples belonged to a normal distribution, so a parametric -test for dependent samples was used to test for between-sample variability. The study included 30 sections tested in 2 stages, with consistent technical parameters. For T1 measurements, 12 scans were performed with varying repetition times (TR) and a constant echo time (TE) of 3 ms. For T2 measurements, 12 scans were performed with a fixed repetition time of 10,000 ms and varying echo times. After treating samples with PpIX disodium salt and bubbling with pure oxygen, PDT irradiation was applied. The cell relaxation time after therapy was significantly shorter than the cell relaxation time before PDT. The cells were exposed to PpIX disodium salt as the administered pharmacological substance. The study showed that the therapy significantly affected tumor cells, which was confirmed by a significant reduction in tumor cell relaxation time on the MRI results.

摘要

光动力疗法(PDT)在现代医学中的应用越来越广泛。它已被用于乳腺癌的治疗。女性中最常见的癌症是乳腺癌。我们从手术后获得的材料中收集了乳腺癌细胞。我们关注的是大小超过10毫米的肿瘤。用于这项定量非对比磁共振成像(MRI)研究的乳腺癌组织在宏观上是可见的。当前的研究旨在通过评估弛豫时间来呈现光动力疗法后乳腺癌细胞的定量非对比MRI结果。这项工作的目的是使用并优化一台1.5T的MRI系统。MRI测试使用的是一台临床扫描仪,即通用电气医疗集团生产的OPTIMA MR360。这项工作包括对T1和T2弛豫时间的分析。这种分析是使用MATLAB软件包(由MathWorks公司生产)进行的。所创建的应用程序基于以DICOM3.0标准保存的医学MRI图像。T1和T2测量值进行了Shapiro-Wilk检验,结果表明两个样本均属于正态分布,因此使用了针对相关样本的参数检验来测试样本间的变异性。该研究包括在两个阶段测试的30个切片,技术参数一致。对于T1测量,进行了12次扫描,重复时间(TR)不同,回波时间(TE)固定为3毫秒。对于T2测量,进行了12次扫描,重复时间固定为10000毫秒,回波时间不同。在用二钠盐卟吩氯啉(PpIX)处理样本并通入纯氧鼓泡后,进行了光动力疗法照射。治疗后细胞的弛豫时间明显短于光动力疗法前细胞的弛豫时间。细胞被暴露于作为给药药物的二钠盐卟吩氯啉。研究表明,该疗法对肿瘤细胞有显著影响,MRI结果显示肿瘤细胞弛豫时间显著缩短证实了这一点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/75e5988bf3fc/diagnostics-14-00563-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/aefb8f183405/diagnostics-14-00563-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/0a0e0320fd41/diagnostics-14-00563-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/e697c8a7e9ca/diagnostics-14-00563-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/b862820fe092/diagnostics-14-00563-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/75e5988bf3fc/diagnostics-14-00563-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/aefb8f183405/diagnostics-14-00563-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/0a0e0320fd41/diagnostics-14-00563-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/e697c8a7e9ca/diagnostics-14-00563-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/b862820fe092/diagnostics-14-00563-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b06c/10930664/75e5988bf3fc/diagnostics-14-00563-g005.jpg

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