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  3. Should Peak Dose Be Used to Prescribe Spatially Fractionated Radiation Therapy?-A Review of Preclinical Studies.
 

Should Peak Dose Be Used to Prescribe Spatially Fractionated Radiation Therapy?-A Review of Preclinical Studies.

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BORIS DOI
10.48350/171593
Publisher DOI
10.3390/cancers14153625
PubMed ID
35892895
Description
Spatially fractionated radiotherapy (SFRT) is characterized by the coexistence of multiple hot and cold dose subregions throughout the treatment volume. In preclinical studies using single-fraction treatment, SFRT can achieve a significantly higher therapeutic index than conventional radiotherapy (RT). Published clinical studies of SFRT followed by RT have reported promising results for bulky tumors. Several clinical trials are currently underway to further explore the clinical benefits of SFRT. However, we lack the important understanding of the correlation between dosimetric parameters and treatment response that we have in RT. In this work, we reviewed and analyzed this important correlation from previous preclinical SFRT studies. We reviewed studies prior to 2022 that treated animal-bearing tumors with minibeam radiotherapy (MBRT) or microbeam radiotherapy (MRT). Eighteen studies met our selection criteria. Increased lifespan (ILS) relative to control was used as the treatment response. The preclinical SFRT dosimetric parameters analyzed were peak dose, valley dose, average dose, beam width, and beam spacing. We found that valley dose was the dosimetric parameter with the strongest correlation with ILS (p-value < 0.01). For studies using MRT, average dose and peak dose were also significantly correlated with ILS (p-value < 0.05). This first comprehensive review of preclinical SFRT studies shows that the valley dose (rather than the peak dose) correlates best with treatment outcome (ILS).
Date of Publication
2022-07-26
Publication Type
Article
Subject(s)
600 - Technology::610 - Medicine & health
Keyword(s)
ILS MBRT MRT SFRT peak dose valley dose
Language(s)
en
Contributor(s)
Fernandez Palomo, Cristian Gabrielorcid-logo
Institut für Anatomie
Chang, Sha
Prezado, Yolanda
Additional Credits
Institut für Anatomie
Series
Cancers
Publisher
MDPI AG
ISSN
2072-6694
Access(Rights)
open.access
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