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DOI 10.1007/s00066-025-02494-w

Медицинская библиотека · Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025

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

Lackner Niklas A, Karius Andre, Brandt Tobias, Ott Oliver J, Putz Florian, Strnad Vratislav, May Matthias S, Fietkau Rainer, Bert Christoph, Szkitsak Juliane

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

PURPOSE: Computed tomography (CT) scans are vital for radiotherapy planning, providing essential data for dose calculations. This study retrospectively evaluated imaging doses, scan lengths, and protocol adherence to support imaging optimization and reduce patient radiation exposure.

METHODS

CT data from patients undergoing external beam radiotherapy and brachytherapy in the period 04/2021 to 12/2024 were retrieved from the institutional picture archiving and communication system (PACS). Imaging doses (volumetric CT dose index [CTDIvol] and dose length product [DLP]) were extracted from dose reports. Automated organ segmentation was used to assess standard operating procedures (SOPs) adherence by estimating anatomical scan length differences. Additional quality assurance checks assessed protocol and imaging consistency.

RESULTS

Brain protocols exhibited the highest CTDIvol (73 ± 12 mGy), while head and neck protocols had higher DLP values (3212 ± 757 mGy·cm). The lung 4D protocol showed a higher effective dose (23 ± 9 mSv) compared to the standard lung protocol. Notable anatomical scan length differences were observed at the lower boundary in the upper abdomen (120 ± 75 mm) and spine (155 ± 159 mm), indicating opportunities for workflow improvement.

CONCLUSION

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.

Для цитирования: Lackner Niklas A, Karius Andre, Brandt Tobias, Ott Oliver J, Putz Florian, Strnad Vratislav, May Matthias S, Fietkau Rainer, Bert Christoph, Szkitsak Juliane. Automated quality assurance of imaging dose and protocol adherence in computed tomography radiotherapy planning using TotalSegmentator-based segmentation.. Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]. 2025. DOI: 10.1007/s00066-025-02494-w.

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