Clinical implementation of model-based dose planning for indoor daylight photodynamic therapy of skin (Conference Presentation)

2020 ◽  
Author(s):  
Ethan Philip M. LaRochelle ◽  
Alberto J. Ruiz ◽  
M. Shane Chapman ◽  
Edward V. Maytin ◽  
Tayyaba Hasan ◽  
...  
Keyword(s):  
Photodynamic Therapy ◽  
Clinical Implementation ◽  
Model Based ◽  
Dose Planning

Weather forecast and light-tissue model based dose planning for daylight PpIX-photodynamic therapy of skin (Conference Presentation)

2019 ◽  
Author(s):  
Ethan Philip M. LaRochelle ◽  
Alberto J. Ruiz ◽  
Robert E. LeBlanc ◽  
Edward V. Maytin ◽  
Tayyaba Hasan ◽  
...  
Keyword(s):  
Photodynamic Therapy ◽  
Weather Forecast ◽  
Tissue Model ◽  
Model Based ◽  
Dose Planning

scholarly journals Weather‐informed Light–tissue Model–Based Dose Planning for Indoor Daylight Photodynamic Therapy

2020 ◽  
Vol 96 (2) ◽  
pp. 320-326 ◽  
Author(s):  
Ethan P. M. LaRochelle ◽  
Michael Shane Chapman ◽  
Edward V. Maytin ◽  
Tayyaba Hasan ◽  
Brian W. Pogue
Keyword(s):  
Photodynamic Therapy ◽  
Tissue Model ◽  
Model Based ◽  
Dose Planning

scholarly journals Real-Time Monitoring of Photocytotoxicity in Nanoparticles-Based Photodynamic Therapy: A Model-Based Approach

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e48617 ◽  
Author(s):  
Hamanou Benachour ◽  
Thierry Bastogne ◽  
Magali Toussaint ◽  
Yosra Chemli ◽  
Aymeric Sève ◽  
...  
Keyword(s):  
Photodynamic Therapy ◽  
Real Time ◽  
Real Time Monitoring ◽  
Model Based

Finite element model-based tumor registration of microPET and high-resolution MR images for photodynamic therapy in mice

2006 ◽  
Author(s):  
Baowei Fei ◽  
Hesheng Wang ◽  
Raymond F. Muzic, Jr. ◽  
Chris A. Flask ◽  
Denise Feyes ◽  
...  
Keyword(s):  
Finite Element ◽  
Photodynamic Therapy ◽  
High Resolution ◽  
Finite Element Model ◽  
Element Model ◽  
Mr Images ◽  
Model Based

scholarly journals Report of the Task Group 186 on model-based dose calculation methods in brachytherapy beyond the TG-43 formalism: Current status and recommendations for clinical implementation

2012 ◽  
Vol 39 (10) ◽  
pp. 6208-6236 ◽  
Author(s):  
Luc Beaulieu ◽  
Åsa Carlsson Tedgren ◽  
Jean-François Carrier ◽  
Stephen D. Davis ◽  
Firas Mourtada ◽  
...  
Keyword(s):  
Dose Calculation ◽  
Task Group ◽  
Current Status ◽  
Calculation Methods ◽  
Clinical Implementation ◽  
Model Based

A Theoretical Model Based on Modified Fullerenes for Photodynamic Therapy of Cancer

2018 ◽  
Vol 15 (1) ◽  
pp. 147-152
Author(s):  
Leila Saedi ◽  
Hamidreza Simchi ◽  
Mahdi Esmaeilzadeh ◽  
Javad Beheshtian
Keyword(s):  
Photodynamic Therapy ◽  
Theoretical Model ◽  
Model Based ◽  
Photodynamic Therapy Of Cancer

scholarly journals Cancer Theranostics: Bridging Conventional and Nano-photodynamic Therapy

2020 ◽  
Vol 10 (01) ◽  
pp. 03-08
Author(s):  
Poorani Gananathan ◽  
Anirban Chakraborty ◽  
Indrani Karunasagar
Keyword(s):  
Photodynamic Therapy ◽  
Therapeutic Strategy ◽  
Malignant Tumors ◽  
Premalignant Lesions ◽  
Treatment Modalities ◽  
Future Prospects ◽  
Clinical Implementation ◽  
Depth Of Penetration ◽  
Ophthalmic Diseases ◽  
Cancer Theranostics

AbstractCancer is of various kinds, so are the treatment modalities. Worldwide, cancer is the second leading cause of death, accounting for a whopping 9.6 million deaths in 2018. Globally, approximately one in six deaths is attributed to cancer. Photodynamic therapy (PDT) is a therapeutic strategy for the treatment of superficial lesions, warts, Barrett’s esophagus, premalignant lesions, malignant tumors, and ophthalmic diseases. The literature on PDT is approximately one-third of that in radiation therapy, yet the clinical implementation of PDT in cancer is relatively less. Despite substantial research, the clinical application of photodynamic strategy in cancer therapy is still in its infancy with only a limited number of case studies reported so far. The limitations of the photosensitizer and the shallow depth of penetration of light source are the key technical impediments. However, the use of nanomedicine in PDT can overcome these obstacles. Thus, it is necessary to gain knowledge on how nanomaterials can be merged with PDT and how it can be utilized in cancer theranostics. In this article, the focus is to understand how PDT works and how it can be utilized in improving the sensitivity of the existing diagnostic and therapeutic techniques. The article also addresses the current challenges for PDT and the future prospects of this technique, particularly in the area of diagnosis and treatment of cancer.

Sign in / Sign up

Export Citation Format

Share Document