Literature DB >> 20803326

Implicit and explicit dosimetry in photodynamic therapy: a New paradigm.

B C Wilson1, M S Patterson, L Lilge.   

Abstract

Dosimetry for photodynamic therapy (PDT) is becoming increasingly complex as more factors are identified which may influence the effectiveness of a given treatment. The simple prescription of a PDT treatment in terms of the administered photosensitizer dose, the incident light and the drug-light time interval does not account for patient-to-patient variability in either the photosensitizer uptake, tissue optical properties or tissue oxygenation, nor for the interdependence of the photosensitizer-light-tissue factors. This interdependence is examined and the implications for developing adequate dosimetry for PDT are considered. The traditional dosimetric approach, measuring each dose factor independently, and termed here 'explicit dosimetry', may be contrasted with the recent trend to use photosensitizer photobleaching as an index of the effective delivered dose, termed here 'implicit dosimetry'. The advantages and limitations of each approach are discussed, and the need to understand the degree to which the photobleaching mechanism is linked, or 'coupled', to the photosensitizing mechanism is analysed. Finally, the influence of the tissue-response endpoints on the optimal dosimetry methods is considered.

Entities:  

Year:  1997        PMID: 20803326     DOI: 10.1007/BF02765099

Source DB:  PubMed          Journal:  Lasers Med Sci        ISSN: 0268-8921            Impact factor:   3.161


  41 in total

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Authors:  A M Fisher; A L Murphree; C J Gomer
Journal:  Lasers Surg Med       Date:  1995       Impact factor: 4.025

2.  In vivo action spectra, absorption and fluorescence excitation spectra of photosensitizers for photodynamic therapy.

Authors:  W M Star
Journal:  J Photochem Photobiol B       Date:  1995-04       Impact factor: 6.252

3.  In vivo and post mortem measurements of the attenuation spectra of light in mammalian tissues.

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Journal:  Photochem Photobiol       Date:  1985-08       Impact factor: 3.421

Review 4.  Oxygen in human tumors: correlations between methods of measurement and response to therapy. Summary of a workshop held November 19-20, 1992, at the National Cancer Institute, Bethesda, Maryland.

Authors:  H B Stone; J M Brown; T L Phillips; R M Sutherland
Journal:  Radiat Res       Date:  1993-12       Impact factor: 2.841

5.  In vivo CT measurement of blood-brain transfer constant of iopamidol in human brain tumors.

Authors:  W T Yeung; T Y Lee; R F Del Maestro; R Kozak; T Brown
Journal:  J Neurooncol       Date:  1992-10       Impact factor: 4.130

6.  In vivo pH measurement and imaging of tumor tissue using a pH-sensitive fluorescent probe (5,6-carboxyfluorescein): instrumental and experimental studies.

Authors:  S Mordon; J M Devoisselle; V Maunoury
Journal:  Photochem Photobiol       Date:  1994-09       Impact factor: 3.421

7.  Noninvasive imaging of the distribution in oxygen in tissue in vivo using near-infrared phosphors.

Authors:  S A Vinogradov; L W Lo; W T Jenkins; S M Evans; C Koch; D F Wilson
Journal:  Biophys J       Date:  1996-04       Impact factor: 4.033

Review 8.  Vascular effects of photodynamic therapy.

Authors:  V H Fingar
Journal:  J Clin Laser Med Surg       Date:  1996-10

9.  Clinical pharmacokinetic studies of photofrin by fluorescence spectroscopy in the oral cavity, the esophagus, and the bronchi.

Authors:  D R Braichotte; G A Wagnières; R Bays; P Monnier; H E van den Bergh
Journal:  Cancer       Date:  1995-06-01       Impact factor: 6.860

10.  The sensitivity of normal brain and intracranially implanted VX2 tumour to interstitial photodynamic therapy.

Authors:  L Lilge; M C Olivo; S W Schatz; J A MaGuire; M S Patterson; B C Wilson
Journal:  Br J Cancer       Date:  1996-02       Impact factor: 7.640

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  74 in total

Review 1.  A review of in-vivo optical properties of human tissues and its impact on PDT.

Authors:  Julia L Sandell; Timothy C Zhu
Journal:  J Biophotonics       Date:  2011-11       Impact factor: 3.207

2.  Insights into photodynamic therapy dosimetry: simultaneous singlet oxygen luminescence and photosensitizer photobleaching measurements.

Authors:  Mark T Jarvi; Michael S Patterson; Brian C Wilson
Journal:  Biophys J       Date:  2012-02-07       Impact factor: 4.033

3.  Intraoperative optical assessment of photodynamic therapy response of superficial oral squamous cell carcinoma.

Authors:  Daniel J Rohrbach; Nestor Rigual; Hassan Arshad; Erin C Tracy; Michelle T Cooper; Gal Shafirstein; Gregory Wilding; Mihai Merzianu; Heinz Baumann; Barbara W Henderson; Ulas Sunar
Journal:  J Biomed Opt       Date:  2016-01       Impact factor: 3.170

4.  Effectiveness of different light sources for 5-aminolevulinic acid photodynamic therapy.

Authors:  Asta Juzeniene; Petras Juzenas; Li-Wei Ma; Vladimir Iani; Johan Moan
Journal:  Lasers Med Sci       Date:  2004-10-16       Impact factor: 3.161

5.  Laser speckle imaging of dynamic changes in flow during photodynamic therapy.

Authors:  B Kruijt; H S de Bruijn; A van der Ploeg-van den Heuvel; H J C M Sterenborg; D J Robinson
Journal:  Lasers Med Sci       Date:  2006-10-13       Impact factor: 3.161

6.  Three-dimensional fluence rate measurement and data acquisition system for minimally invasive light therapies.

Authors:  Benjamin Lai; Maxim Loshchenov; Alexander Douplik; Rob Rusnov; Marcos Jimenez-Davila; George Netchev; Lothar Lilge
Journal:  Rev Sci Instrum       Date:  2009-04       Impact factor: 1.523

Review 7.  The role of photodynamic therapy (PDT) physics.

Authors:  Timothy C Zhu; Jarod C Finlay
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

8.  Imaging a photodynamic therapy photosensitizer in vivo with a time-gated fluorescence tomography system.

Authors:  Weirong Mo; Daniel Rohrbach; Ulas Sunar
Journal:  J Biomed Opt       Date:  2012-07       Impact factor: 3.170

9.  In vivo evaluation of battery-operated light-emitting diode-based photodynamic therapy efficacy using tumor volume and biomarker expression as endpoints.

Authors:  Srivalleesha Mallidi; Zhiming Mai; Imran Rizvi; Joshua Hempstead; Stephen Arnason; Jonathan Celli; Tayyaba Hasan
Journal:  J Biomed Opt       Date:  2015-04       Impact factor: 3.170

10.  Determination of in vivo light fluence distribution in a heterogeneous prostate during photodynamic therapy.

Authors:  Jun Li; Timothy C Zhu
Journal:  Phys Med Biol       Date:  2008-03-27       Impact factor: 3.609

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