A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

A theoretical study of H O as the surrogate of dose in minibeam radiotherapy, with a diffusion model considering radical removal process. | LitMetric

Background: Minibeam radiation therapy (MBRT) is an innovative dose delivery method with the potential to spare normal tissue while achieving similar tumor control as conventional radiotherapy. However, it is difficult to use a single dose parameter, such as mean dose, to compare different patterns of MBRT due to the spatially fractionated radiation. Also, the mechanism leading to the biological effects is still unknown.

Purpose: This study aims to demonstrate that the hydrogen peroxide (H O ) distribution could serve as a surrogate of dose distribution when comparing different patterns of MBRT.

Methods: A free diffusion model (FDM) for H O developed with Fick's second law was compared with a previously published model based on Monte Carlo & convolution method. Since cells form separate compartments that can eliminate H O radicals diffusing inside the cell, a term describing the elimination was introduced into the equation. The FDM and the diffusion model considering removal (DMCR) were compared by simulating various dose rate irradiation schemes and uniform irradiation. Finally, the DMCR was compared with previous microbeam and minibeam animal experiments.

Results: Compared with a previous Monte Carlo & Convolution method, this analytical method provides more accurate results. Furthermore, the new model shows H O concentration distribution instead of the time to achieve a certain H O uniformity. The comparison between FDM and DMCR showed that H O distribution from FDM varied with dose rate irradiation, while DMCR had consistent results. For uniform irradiation, FDM resulted in a Gaussian distribution, while the H O distribution from DMCR was close to the dose distribution. The animal studies' evaluation showed a correlation between the H O concentration in the valley region and treatment outcomes.

Conclusion: DMCR is a more realistic model for H O simulation than the FDM. In addition, the H O distribution can be a good surrogate of dose distribution when the minibeam effect could be observed.

Download full-text PDF

Source
http://dx.doi.org/10.1002/mp.16570DOI Listing

Publication Analysis

Top Keywords

surrogate dose
12
diffusion model
12
dose distribution
12
dose
9
distribution
9
model considering
8
monte carlo
8
carlo convolution
8
convolution method
8
dmcr compared
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!