Literature DB >> 26961864

Revisiting photodynamic therapy dosimetry: reductionist & surrogate approaches to facilitate clinical success.

Brian W Pogue1, Jonathan T Elliott, Stephen C Kanick, Scott C Davis, Kimberley S Samkoe, Edward V Maytin, Stephen P Pereira, Tayyaba Hasan.   

Abstract

Photodynamic therapy (PDT) can be a highly complex treatment, with many parameters influencing treatment efficacy. The extent to which dosimetry is used to monitor and standardize treatment delivery varies widely, ranging from measurement of a single surrogate marker to comprehensive approaches that aim to measure or estimate as many relevant parameters as possible. Today, most clinical PDT treatments are still administered with little more than application of a prescribed drug dose and timed light delivery, and thus the role of patient-specific dosimetry has not reached widespread clinical adoption. This disconnect is at least partly due to the inherent conflict between the need to measure and understand multiple parameters in vivo in order to optimize treatment, and the need for expedience in the clinic and in the regulatory and commercialization process. Thus, a methodical approach to selecting primary dosimetry metrics is required at each stage of translation of a treatment procedure, moving from complex measurements to understand PDT mechanisms in pre-clinical and early phase I trials, towards the identification and application of essential dose-limiting and/or surrogate measurements in phase II/III trials. If successful, identifying the essential and/or reliable surrogate dosimetry measurements should help facilitate increased adoption of clinical PDT. In this paper, examples of essential dosimetry points and surrogate dosimetry tools that may be implemented in phase II/III trials are discussed. For example, the treatment efficacy as limited by light penetration in interstitial PDT may be predicted by the amount of contrast uptake in CT, and so this could be utilized as a surrogate dosimetry measurement to prescribe light doses based upon pre-treatment contrast. Success of clinical ALA-based skin lesion treatment is predicted almost uniquely by the explicit or implicit measurements of photosensitizer and photobleaching, yet the individualization of treatment based upon each patients measured bleaching needs to be attempted. In the case of ALA, lack of PpIX is more likely an indicator that alternative PpIX production methods must be implemented. Parsimonious dosimetry, using surrogate measurements that are clinically acceptable, might strategically help to advance PDT in a medical world that is increasingly cost and time sensitive. Careful attention to methodologies that can identify and advance the most critical dosimetric measurements, either direct or surrogate, are needed to ensure successful incorporation of PDT into niche clinical procedures.

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Year:  2016        PMID: 26961864     DOI: 10.1088/0031-9155/61/7/R57

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


  20 in total

Review 1.  Photonanomedicine: a convergence of photodynamic therapy and nanotechnology.

Authors:  Girgis Obaid; Mans Broekgaarden; Anne-Laure Bulin; Huang-Chiao Huang; Jerrin Kuriakose; Joyce Liu; Tayyaba Hasan
Journal:  Nanoscale       Date:  2016-06-20       Impact factor: 7.790

2.  Assessing daylight & low-dose rate photodynamic therapy efficacy, using biomarkers of photophysical, biochemical and biological damage metrics in situ.

Authors:  Ana Luiza Ribeiro de Souza; Ethan LaRochelle; Kayla Marra; Jason Gunn; Scott C Davis; Kimberley S Samkoe; M Shane Chapman; Edward V Maytin; Tayyaba Hasan; Brian W Pogue
Journal:  Photodiagnosis Photodyn Ther       Date:  2017-10-14       Impact factor: 3.631

3.  Advances in antimicrobial photodynamic inactivation at the nanoscale.

Authors:  Nasim Kashef; Ying-Ying Huang; Michael R Hamblin
Journal:  Nanophotonics       Date:  2017-08-01       Impact factor: 8.449

Review 4.  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

5.  Photodynamic Treatments for Disseminated Cancer Metastases Using Fiber-Optic Technologies.

Authors:  Eric M Kercher; Bryan Q Spring
Journal:  Methods Mol Biol       Date:  2022

6.  Optical property recovery with spatially-resolved diffuse reflectance at short source-detector separations using a compact fiber-optic probe.

Authors:  Karina G Bridger; Jacob R Roccabruna; Timothy M Baran
Journal:  Biomed Opt Express       Date:  2021-11-09       Impact factor: 3.732

7.  PDT: What's Past Is Prologue.

Authors:  Keith A Cengel; Charles B Simone; Eli Glatstein
Journal:  Cancer Res       Date:  2016-05-01       Impact factor: 12.701

8.  Detection of singlet oxygen luminescence for experimental corneal rose bengal photodynamic antimicrobial therapy.

Authors:  Jeffrey C Peterson; Esdras Arrieta; Marco Ruggeri; Juan D Silgado; Keenan J Mintz; Ernesto H Weisson; Roger M Leblanc; Irene Kochevar; Fabrice Manns; Jean-Marie Parel
Journal:  Biomed Opt Express       Date:  2020-12-10       Impact factor: 3.732

Review 9.  Clinical development and potential of photothermal and photodynamic therapies for cancer.

Authors:  Xingshu Li; Jonathan F Lovell; Juyoung Yoon; Xiaoyuan Chen
Journal:  Nat Rev Clin Oncol       Date:  2020-07-22       Impact factor: 66.675

10.  Irradiance uniformity optimization for a photodynamic therapy treatment device with 3D scanner.

Authors:  Xu Wang; Wen-Rui Kang; Xiao-Ming Hu; Qin Li
Journal:  J Biomed Opt       Date:  2021-07       Impact factor: 3.170

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