The Impact of Pre-Treatment Image Guidance on Tumor and Normal Tissue Dosimetry During VMAT for Cervical Cancer

The significance of accurate beam delivery has been examined both in theory and in practice, considering the movements of the organs and interfractional targets during the treatment process. The shifts from the plans simulated for each image were collected and averaged separately for each axis. The tumor coverage was most affected by the shifts, resulting in an underdosage for the EPID group. Significant differences were observed in the CBCT group for the rectum and femoral heads. Pre-treatment patient setup and organ movement during radiotherapy are key issues for an accurate treatment delivery, affecting tumor coverage and protection of OARs alike.

Authors

Publication Details

Journal
Romanian Journal of Physics
Published
2025-03-15
DOI
https://doi.org/10.59277/romjphys.2025.70.701
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

The Impact of Pre-Treatment Image Guidance on Tumor and Normal Tissue Dosimetry During VMAT for Cervical Cancer

Loredana Gabriela Marcu, Iozsef Gazsi
Romanian Journal of Physics
Radiomics and Machine Learning in Medical Imaging
article

The Impact of Pre-Treatment Image Guidance on Tumor and Normal Tissue Dosimetry During VMAT for Cervical Cancer

Loredana Gabriela Marcu, Iozsef Gazsi
article en

Abstract

The significance of accurate beam delivery has been examined both in theory and in practice, considering the movements of the organs and interfractional targets during the treatment process. The shifts from the plans simulated for each image were collected and averaged separately for each axis. The tumor coverage was most affected by the shifts, resulting in an underdosage for the EPID group. Significant differences were observed in the CBCT group for the rectum and femoral heads. Pre-treatment patient setup and organ movement during radiotherapy are key issues for an accurate treatment delivery, affecting tumor coverage and protection of OARs alike.

Romanian Journal of PhysicsVol. 70(1-2)
Openalex Percentile: Top 90%
Radiomics and Machine Learning in Medical Imaging
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