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将临床准入限制纳入使用PDT-SPACE的个体化光动力治疗(iPDT)治疗计划中。

Integrating clinical access limitations into iPDT treatment planning with PDT-SPACE.

作者信息

Wang Shuran, Saeidi Tina, Lilge Lothar, Betz Vaughn

机构信息

Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Rd, Toronto, ON M5S3G8, Canada.

Department of Medical Biophysics, University of Toronto, Princess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON M5G1L7, Canada.

出版信息

Biomed Opt Express. 2023 Jan 9;14(2):714-738. doi: 10.1364/BOE.478217. eCollection 2023 Feb 1.


DOI:10.1364/BOE.478217
PMID:36874501
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9979674/
Abstract

PDT-SPACE is an open-source software tool that automates interstitial photodynamic therapy treatment planning by providing patient-specific placement of light sources to destroy a tumor while minimizing healthy tissue damage. This work extends PDT-SPACE in two ways. The first enhancement allows specification of clinical access constraints on light source insertion to avoid penetrating critical structures and to minimize surgical complexity. Constraining fiber access to a single burr hole of adequate size increases healthy tissue damage by 10%. The second enhancement generates an initial placement of light sources as a starting point for refinement, rather than requiring entry of a starting solution by the clinician. This feature improves productivity and also leads to solutions with 4.5% less healthy tissue damage. The two features are used in concert to perform simulations of various surgery options of virtual glioblastoma multiforme brain tumors.

摘要

PDT-SPACE是一款开源软件工具,它通过提供针对患者的光源放置来自动进行间质光动力治疗的治疗计划,以破坏肿瘤,同时将对健康组织的损伤降至最低。这项工作从两个方面扩展了PDT-SPACE。第一个改进是允许对光源插入设置临床准入限制,以避免穿透关键结构并将手术复杂性降至最低。将光纤接入限制在一个足够大的单一钻孔会使健康组织损伤增加10%。第二个改进是生成光源的初始放置作为优化的起点,而不是要求临床医生输入起始解决方案。此功能提高了工作效率,还能使解决方案对健康组织的损伤减少4.5%。这两个功能协同使用,对虚拟多形性胶质母细胞瘤脑肿瘤的各种手术方案进行模拟。

相似文献

[1]
Integrating clinical access limitations into iPDT treatment planning with PDT-SPACE.

Biomed Opt Express. 2023-1-9

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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引用本文的文献

[1]
Photosensitizer spatial heterogeneity and its impact on personalized interstitial photodynamic therapy treatment planning.

J Biomed Opt. 2025-1

[2]
Devices and Methods for Dosimetry of Personalized Photodynamic Therapy of Tumors: A Review on Recent Trends.

Cancers (Basel). 2024-7-8

[3]
Comparison of the Differences between Two-Photon Excitation, Upconversion, and Conventional Photodynamic Therapy on Cancers in In Vitro and In Vivo Studies.

Pharmaceuticals (Basel). 2024-5-21

本文引用的文献

[1]
Scalable and accessible personalized photodynamic therapy optimization with FullMonte and PDT-SPACE.

J Biomed Opt. 2022-4

[2]
Multi-scattering software part II: experimental validation for the light intensity distribution.

Opt Express. 2022-1-17

[3]
Interrelation between Spectral Online Monitoring and Postoperative T1-Weighted MRI in Interstitial Photodynamic Therapy of Malignant Gliomas.

Cancers (Basel). 2021-12-27

[4]
Machine learning for real-time optical property recovery in interstitial photodynamic therapy: a stimulation-based study.

Biomed Opt Express. 2021-8-4

[5]
Conquering the Hypoxia Limitation for Photodynamic Therapy.

Adv Mater. 2021-12

[6]
Is interstitial photodynamic therapy for brain tumors ready for clinical practice? A systematic review.

Photodiagnosis Photodyn Ther. 2021-12

[7]
Photodynamic Therapy-Current Limitations and Novel Approaches.

Front Chem. 2021-6-10

[8]
Determination of Optical Properties and Photodynamic Threshold of Lung Tissue for Treatment Planning of In Vivo Lung Perfusion Assisted Photodynamic Therapy.

Photodiagnosis Photodyn Ther. 2021-9

[9]
Optimizing Interstitial Photodynamic Therapy Planning With Reinforcement Learning-Based Diffuser Placement.

IEEE Trans Biomed Eng. 2021-5

[10]
Multi-Scattering software: part I: online accelerated Monte Carlo simulation of light transport through scattering media.

Opt Express. 2020-12-7

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