Image-guided treatment planning for pleural Photodynamic Therapy

图像引导的胸膜光动力治疗治疗计划

• 批准号: 8777007
• 负责人: Timothy C. Zhu
• 金额: $ 32.76万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-03-09 至 2015-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8777007
• 关键词: Accounting; Algorithms; Animal Model; Applications Grants; Area; Chest wall structure; Consumption; Coupled; Devices; Dose; Drug or chemical Tissue Distribution; Effectiveness; Feedback; Financial compensation; Fluorescence; Fluorescence Spectroscopy; Geometry; Goals; Grant; Heterogeneity; Light; Malignant neoplasm of thorax; Maps; Measures; Methods; Modeling; Monitor; Motion; Movement; Mus; Necrosis; Operative Surgical Procedures; Optics; Oxygen; Oxygen Consumption; PUVA Photochemotherapy; Patients; Pharmaceutical Preparations; Photosensitizing Agents; Pleural cavity; Pleural photodynamic therapy; Positioning Attribute; Pre-Clinical Model; Property; Public Health; Real-Time Systems; Resolution; Singlet Oxygen; Source; Spatial Distribution; Surface; Surgeon; System; Testing; Therapeutic; Thoracic cavity structure; Time; Tissues; Treatment Efficacy; Variant; absorption; abstracting; base; dosimetry; image guided; imaging system; improved; in vivo; malignant pleura tumor; optical fiber; response; tissue oxygenation; treatment planning; uptake

DESCRIPTION (provided by applicant): Image-guided treatment planning for pleural Photodynamic Therapy Abstract The overall objective of this grant is to develop an integrated system for real-time PDT dosimetry and light source monitoring during intracavitary photodynamic therapy. We propose to develop an infra- red camera-based system for real-time tracking of the motion of the light source used for treatment. The same tracking system will be used to digitize the surface contour of the cavity being treated for light fluence rate calculation. An optical fiber-based spectroscopic probe, coupled with the IR camera tracking device, will be used to determine absorption spectra at multiple points on the pleural cavity surface before and after PDT. Analysis of the absorption spectrum will determine the tissue oxygenation and the sensitizer concentration at these points. The same probe will be capable of performing fluorescence spectroscopy to verify drug concentration in-vivo before and after PDT. The absorption spectrum will also be used to determine the tissue optical properties in-vivo and use these points as input for light fluence rate calculation. To improve the spatial resolution of the heterogeneous tissue optical properties, we plan to develop a spectral reflectance imaging system to determine the surface distribution of optical properties in tissue before and after PDT. The temporal variations of light fluence rate, absorption spectrum, and fluorescence emission will be measured in- vivo at 7 selected points and compared with calculations using a light fluence calculation algorithm which takes into account the geometry and optical properties of the cavity. PDT dose will be calculated as a product of drug concentration and light fluence rate. We hypothesize that using PDT dose as a PDT dosimetry quantity to optimize light source movement will result in improvement of the spatial uniformity of PDT treatment and thus its efficacy. Further improvement of the PDT dose by a new dosimetric quantity, reacted singlet oxygen concentration that takes into account of light fluence rate effect, will be examined in a preclinical model.

描述（由申请人提供）：胸膜光动力治疗的图像引导治疗计划 摘要 本次资助的总体目标是开发一种集成系统，用于腔内光动力治疗期间的实时 PDT 剂量测定和光源监测。我们建议开发一种基于红外摄像头的系统，用于实时跟踪治疗所用光源的运动。相同的跟踪系统将用于数字化正在处理的腔体的表面轮廓，以计算光通量率。基于光纤的光谱探头与红外摄像机跟踪装置相结合，将用于确定 PDT 前后胸膜腔表面多个点的吸收光谱。吸收光谱的分析将确定这些点的组织氧合和敏化剂浓度。相同的探针将能够进行荧光光谱分析，以验证 PDT 前后的体内药物浓度。吸收光谱还将用于确定体内组织光学特性，并使用这些点作为光通量率计算的输入。为了提高异质组织光学特性的空间分辨率，我们计划开发光谱反射成像系统来确定PDT前后组织光学特性的表面分布。将在 7 个选定点体内测量光通量率、吸收光谱和荧光发射的时间变化，并与使用光通量计算算法进行的计算进行比较，该算法考虑了腔的几何形状和光学特性。 PDT 剂量将计算为药物浓度和光通量率的乘积。我们假设使用 PDT 剂量作为 PDT 剂量测定量来优化光源移动将改善 PDT 治疗的空间均匀性，从而提高其疗效。将在临床前模型中检查通过新的剂量测定量（考虑光注量率效应的反应单线态氧浓度）进一步改进 PDT 剂量。