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

Predictive value of Tc-MAA-based dosimetry in personalized Y-SIRT planning for liver malignancies. | LitMetric

Background: Selective internal radiation therapy with Y radioembolization aims to selectively irradiate liver tumours by administering radioactive microspheres under the theragnostic assumption that the pre-therapy injection of Tc labelled macroaggregated albumin (Tc-MAA) provides an estimation of the Y microspheres biodistribution, which is not always the case. Due to the growing interest in theragnostic dosimetry for personalized radionuclide therapy, a robust relationship between the delivered and pre-treatment radiation absorbed doses is required. In this work, we aim to investigate the predictive value of absorbed dose metrics calculated from Tc-MAA (simulation) compared to those obtained from Y post-therapy SPECT/CT.

Results: A total of 79 patients were analysed. Pre- and post-therapy 3D-voxel dosimetry was calculated on Tc-MAA and Y SPECT/CT, respectively, based on Local Deposition Method. Mean absorbed dose, tumour-to-normal ratio, and absorbed dose distribution in terms of dose-volume histogram (DVH) metrics were obtained and compared for each volume of interest (VOI). Mann-Whitney U-test and Pearson's correlation coefficient were used to assess the correlation between both methods. The effect of the tumoral liver volume on the absorbed dose metrics was also investigated. Strong correlation was found between simulation and therapy mean absorbed doses for all VOIs, although simulation tended to overestimate tumour absorbed doses by 26%. DVH metrics showed good correlation too, but significant differences were found for several metrics, mostly on non-tumoral liver. It was observed that the tumoral liver volume does not significantly affect the differences between simulation and therapy absorbed dose metrics.

Conclusion: This study supports the strong correlation between absorbed dose metrics from simulation and therapy dosimetry based on Y SPECT/CT, highlighting the predictive ability of Tc-MAA, not only in terms of mean absorbed dose but also of the dose distribution.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317941PMC
http://dx.doi.org/10.1186/s13550-023-01011-3DOI Listing

Publication Analysis

Top Keywords

absorbed dose
24
dose metrics
12
simulation therapy
12
dosimetry personalized
8
absorbed
8
calculated tc-maa
8
dvh metrics
8
tumoral liver
8
liver volume
8
strong correlation
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!