Automated quality assurance of imaging dose and protocol adherence in computed tomography radiotherapy planning using TotalSegmentator-based segmentation

Enhancing CT workflows for radiotherapy patients is important and feasible. Dose and scan length analyses suggest that revising institutional SOPs, optimizing X‑ray tube modulation, and refining scan length boundaries should be considered to achieve this goal.

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Publication Details

Journal
Strahlentherapie und Onkologie
Published
2025-11-28
DOI
https://doi.org/10.1007/s00066-025-02494-w
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Automated quality assurance of imaging dose and protocol adherence in computed tomography radiotherapy planning using TotalSegmentator-based segmentation

Florian Putz, Juliane Szkitsak, Oliver Josef Ott, Vratislav Strnad et al.
Strahlentherapie und Onkologie
Advanced Radiotherapy Techniques
article

Automated quality assurance of imaging dose and protocol adherence in computed tomography radiotherapy planning using TotalSegmentator-based segmentation

Florian Putz, Juliane Szkitsak, Oliver Josef Ott, Vratislav Strnad, Andre Karius, Christoph Bert, Matthias May, Tobias Brandt, Niklas Lackner, Rainer Fietkau
article en

Abstract

Enhancing CT workflows for radiotherapy patients is important and feasible. Dose and scan length analyses suggest that revising institutional SOPs, optimizing X‑ray tube modulation, and refining scan length boundaries should be considered to achieve this goal.

Strahlentherapie und OnkologieVol. 202(3)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Universitätsklinikum Erlangen (DE), Comprehensive Cancer Center Erlangen (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 54%
Advanced Radiotherapy Techniques
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Automated quality assurance of imaging dose and protocol adherence in computed tomography radiotherapy planning using TotalSegmentator-based segmentation — Florian Putz, Juliane Szkitsak, et al. · Strahlentherapie und Onkologie (2025) | TGRS Research Map | TGRS