Feasibility and impact of knowledge-based automated radiotherapy treatment planning in low- and middle-income countries

The knowledge-based VAP-generated technique offers adequate dose coverage, homogeneity and conformity to the TV while sparing OARs, is less dependent on the planner's experience, saves planning time and holds tremendous potential for improving radiotherapy workflow in LMICs.

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Publication Details

Journal
ecancermedicalscience
Published
2025-09-15
DOI
https://doi.org/10.3332/ecancer.2025.1988
Citations
1
Primary Topic
Advances in Oncology and Radiotherapy
Type
article
Field-Weighted Citation Impact
1.36
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article

Feasibility and impact of knowledge-based automated radiotherapy treatment planning in low- and middle-income countries

Baozhou Sun, Awusi Kavuma, Yao Hao, Solomon Kibudde M. Med
1 citations
ecancermedicalscience
Advances in Oncology and Radiotherapy
1.36
article

Feasibility and impact of knowledge-based automated radiotherapy treatment planning in low- and middle-income countries

Baozhou Sun, Awusi Kavuma, Yao Hao, Solomon Kibudde M. Med
article en
1 citations

Abstract

The knowledge-based VAP-generated technique offers adequate dose coverage, homogeneity and conformity to the TV while sparing OARs, is less dependent on the planner's experience, saves planning time and holds tremendous potential for improving radiotherapy workflow in LMICs.

ecancermedicalscienceVol. 19
Baylor College of Medicine (US), Washington University in St. Louis (US), Uganda Cancer Institute (UG)
Openalex Percentile: Top 16%
Advances in Oncology and Radiotherapy
1.36
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