Computational Optimization of Irradiance and Fluence for Interstitial Photodynamic Therapy Treatment of Patients with Malignant Central Airway Obstruction.
I-PDT
MCAO
computational optimization
fluence
interstitial photodynamic therapy
irradiance
malignant central airway obstruction
rate-based light dose
treatment planning
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
06 May 2023
06 May 2023
Historique:
received:
27
03
2023
revised:
24
04
2023
accepted:
02
05
2023
medline:
13
5
2023
pubmed:
13
5
2023
entrez:
13
5
2023
Statut:
epublish
Résumé
There are no effective treatments for patients with extrinsic malignant central airway obstruction (MCAO). In a recent clinical study, we demonstrated that interstitial photodynamic therapy (I-PDT) is a safe and potentially effective treatment for patients with extrinsic MCAO. In previous preclinical studies, we reported that a minimum light irradiance and fluence should be maintained within a significant volume of the target tumor to obtain an effective PDT response. In this paper, we present a computational approach to personalized treatment planning of light delivery in I-PDT that simultaneously optimizes the delivered irradiance and fluence using finite element method (FEM) solvers of either Comsol Multiphysics
Identifiants
pubmed: 37174102
pii: cancers15092636
doi: 10.3390/cancers15092636
pmc: PMC10177073
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : NCI NIH HHS
ID : R44CA265656
Pays : United States
Organisme : NCI NIH HHS
ID : P30CA016056
Pays : United States
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