Tina Saeidi, Shuran Wang, Hector A Contreras, Michael J Daly, Vaughn Betz, Lothar Lilge
{"title":"Photosensitizer spatial heterogeneity and its impact on personalized interstitial photodynamic therapy treatment planning.","authors":"Tina Saeidi, Shuran Wang, Hector A Contreras, Michael J Daly, Vaughn Betz, Lothar Lilge","doi":"10.1117/1.JBO.30.1.018001","DOIUrl":null,"url":null,"abstract":"<p><strong>Significance: </strong>Personalized photodynamic therapy (PDT) treatment planning requires knowledge of the spatial and temporal co-localization of photons, photosensitizers (PSs), and oxygen. The inter- and intra-subject variability in the photosensitizer concentration can lead to suboptimal outcomes using standard treatment plans.</p><p><strong>Aim: </strong>We aim to quantify the PS spatial variation in tumors and its effect on PDT treatment planning solutions.</p><p><strong>Approach: </strong>The spatial variability of two PSs is imaged at various spatial resolutions for an orthotopic rat glioma model and applied <i>in silico</i> to human glioblastoma models to determine the spatial PDT dose, including in organs at risk. An open-source interstitial photodynamic therapy (iPDT) planning tool is applied to these models, deriving the spatial photosensitizer quantification resolution that consistently impacts iPDT source placement and power allocation.</p><p><strong>Results: </strong>The <i>ex vivo</i> studies revealed a bimodal photosensitizer distribution in the tumor. The concentration of the PS can vary by a factor of 2 between the tumor core and rim, with slight variation within the core but a factor of 5 in the rim. An average sampling volume of <math><mrow><mn>1</mn> <mtext> </mtext> <msup><mrow><mi>mm</mi></mrow> <mrow><mn>3</mn></mrow> </msup> </mrow> </math> for photosensitizer quantification will result in significantly different iPDT planning solutions for each case.</p><p><strong>Conclusions: </strong>Assuming homogeneous photosensitizer distribution results in suboptimal therapeutic outcomes, we highlight the need to predict the photosensitizer distribution before source placement for effective treatment plans.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"018001"},"PeriodicalIF":3.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11724368/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomedical Optics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1117/1.JBO.30.1.018001","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/11 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Significance: Personalized photodynamic therapy (PDT) treatment planning requires knowledge of the spatial and temporal co-localization of photons, photosensitizers (PSs), and oxygen. The inter- and intra-subject variability in the photosensitizer concentration can lead to suboptimal outcomes using standard treatment plans.
Aim: We aim to quantify the PS spatial variation in tumors and its effect on PDT treatment planning solutions.
Approach: The spatial variability of two PSs is imaged at various spatial resolutions for an orthotopic rat glioma model and applied in silico to human glioblastoma models to determine the spatial PDT dose, including in organs at risk. An open-source interstitial photodynamic therapy (iPDT) planning tool is applied to these models, deriving the spatial photosensitizer quantification resolution that consistently impacts iPDT source placement and power allocation.
Results: The ex vivo studies revealed a bimodal photosensitizer distribution in the tumor. The concentration of the PS can vary by a factor of 2 between the tumor core and rim, with slight variation within the core but a factor of 5 in the rim. An average sampling volume of for photosensitizer quantification will result in significantly different iPDT planning solutions for each case.
Conclusions: Assuming homogeneous photosensitizer distribution results in suboptimal therapeutic outcomes, we highlight the need to predict the photosensitizer distribution before source placement for effective treatment plans.
意义:个性化光动力疗法(PDT)治疗计划需要了解光子、光敏剂(ps)和氧气的时空共定位。光敏剂浓度在受试者之间和受试者内部的可变性可能导致使用标准治疗方案的次优结果。目的:我们旨在量化肿瘤中PDT的空间变化及其对PDT治疗方案的影响。方法:在原位大鼠胶质瘤模型中以不同的空间分辨率成像两种PDT的空间变异性,并将其应用于人类胶质母细胞瘤模型,以确定空间PDT剂量,包括在危险器官中。一个开源的间隙光动力治疗(iPDT)规划工具应用于这些模型,得出空间光敏剂量化分辨率,持续影响iPDT源的放置和功率分配。结果:体外实验显示光敏剂在肿瘤中呈双峰分布。PS的浓度在肿瘤核心和边缘之间可以变化2倍,在核心内变化很小,但在边缘可以变化5倍。光敏剂定量的平均取样体积为1 mm 3,将导致每种情况下iPDT规划解决方案的显着不同。结论:假设光敏剂均匀分布导致治疗效果不理想,我们强调需要在放置有效治疗计划光源之前预测光敏剂分布。
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.