Literature DB >> 31751964

1O2 determined from the measured PDT dose and 3O2 predicts long-term response to Photofrin-mediated PDT.

Rozhin Penjweini1, Michele M Kim, Yi Hong Ong, Timothy C Zhu.   

Abstract

Photodynamic therapy (PDT) that employs the photochemical interaction of light, photosensitizer and oxygen is an established modality for the treatment of cancer. However, dosimetry for PDT is becoming increasingly complex due to the heterogeneous photosensitizer uptake by the tumor, and complicated relationship between the tissue oxygenation ([3O2]), interstitial light distribution, photosensitizer photobleaching and PDT effect. As a result, experts argue that the failure to realize PDT's true potential is, at least partly due to the complexity of the dosimetry problem. In this study, we examine the efficacy of singlet oxygen explicit dosimetry (SOED) based on the measurements of the interstitial light fluence rate distribution, changes of [3O2] and photosensitizer concentration during Photofrin-mediated PDT to predict long-term control rates of radiation-induced fibrosarcoma tumors. We further show how variation in tissue [3O2] between animals induces variation in the treatment response for the same PDT protocol. PDT was performed with 5 mg kg-1 Photofrin (a drug-light interval of 24 h), in-air fluence rates (ϕ air) of 50 and 75 mW cm-2 and in-air fluences from 225 to 540 J cm-2. The tumor regrowth was tracked for 90 d after the treatment and Kaplan-Meier analyses for local control rate were performed based on a tumor volume  ⩽100 mm3 for the two dosimetry quantities of PDT dose and SOED. Based on the results, SOED allowed for reduced subject variation and improved treatment evaluation as compared to the PDT dose.

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Year:  2020        PMID: 31751964      PMCID: PMC7050291          DOI: 10.1088/1361-6560/ab59f1

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  21 in total

1.  A Comparison of Dose Metrics to Predict Local Tumor Control for Photofrin-mediated Photodynamic Therapy.

Authors:  Haixia Qiu; Michele M Kim; Rozhin Penjweini; Jarod C Finlay; Theresa M Busch; Tianhao Wang; Wensheng Guo; Keith A Cengel; Charles B Simone; Eli Glatstein; Timothy C Zhu
Journal:  Photochem Photobiol       Date:  2017-02-22       Impact factor: 3.421

2.  The role of oxygen monitoring during photodynamic therapy and its potential for treatment dosimetry.

Authors:  Josephine H Woodhams; Alexander J Macrobert; Stephen G Bown
Journal:  Photochem Photobiol Sci       Date:  2007-09-21       Impact factor: 3.982

3.  Effect of photosensitizer dose on fluence rate responses to photodynamic therapy.

Authors:  Hsing-Wen Wang; Elizabeth Rickter; Min Yuan; E Paul Wileyto; Eli Glatstein; Arjun Yodh; Theresa M Busch
Journal:  Photochem Photobiol       Date:  2007 Sep-Oct       Impact factor: 3.421

Review 4.  Photodynamic therapy of cancer: an update.

Authors:  Patrizia Agostinis; Kristian Berg; Keith A Cengel; Thomas H Foster; Albert W Girotti; Sandra O Gollnick; Stephen M Hahn; Michael R Hamblin; Asta Juzeniene; David Kessel; Mladen Korbelik; Johan Moan; Pawel Mroz; Dominika Nowis; Jacques Piette; Brian C Wilson; Jakub Golab
Journal:  CA Cancer J Clin       Date:  2011-05-26       Impact factor: 508.702

5.  Macroscopic singlet oxygen modeling for dosimetry of Photofrin-mediated photodynamic therapy: an in-vivo study.

Authors:  Haixia Qiu; Michele M Kim; Rozhin Penjweini; Timothy C Zhu
Journal:  J Biomed Opt       Date:  2016-08-01       Impact factor: 3.170

Review 6.  On the in vivo photochemical rate parameters for PDT reactive oxygen species modeling.

Authors:  Michele M Kim; Ashwini A Ghogare; Alexander Greer; Timothy C Zhu
Journal:  Phys Med Biol       Date:  2017-02-06       Impact factor: 3.609

7.  Photofrin uptake in the tumor and normal tissues of patients receiving intraperitoneal photodynamic therapy.

Authors:  Stephen M Hahn; Mary E Putt; James Metz; Daniel B Shin; Elizabeth Rickter; Chandrakala Menon; Debbie Smith; Eli Glatstein; Douglas L Fraker; Theresa M Busch
Journal:  Clin Cancer Res       Date:  2006-09-15       Impact factor: 12.531

Review 8.  Mesoscopic fluorescence tomography of a photosensitizer (HPPH) 3D biodistribution in skin cancer.

Authors:  Mehmet S Ozturk; Daniel Rohrbach; Ulas Sunar; Xavier Intes
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

9.  PDT dose parameters impact tumoricidal durability and cell death pathways in a 3D ovarian cancer model.

Authors:  Imran Rizvi; Sriram Anbil; Nermina Alagic; Jonathan Celli; Jonathan P Celli; Lei Zak Zheng; Akilan Palanisami; Michael D Glidden; Brian W Pogue; Tayyaba Hasan
Journal:  Photochem Photobiol       Date:  2013-04-04       Impact factor: 3.421

10.  Evaluation of the 2-(1-Hexyloxyethyl)-2-devinyl pyropheophorbide (HPPH) mediated photodynamic therapy by macroscopic singlet oxygen modeling.

Authors:  Rozhin Penjweini; Michele M Kim; Baochang Liu; Timothy C Zhu
Journal:  J Biophotonics       Date:  2016-09-22       Impact factor: 3.207

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