Evidence map›Paper›PMID 41503558›Full record

ArticleReports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology2025

Quality of density deformations in patient anatomy during synthetic CT guided online adaptive radiation therapy for pelvic cancer.

Domonkos Szegedi, Gábor Stelczer, Tibor Major, Zoltán Takacsi-Nagy, Csilla Pesznyák

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Article in Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Domonkos SzegediCenter of Radiotherapy, National Institute of Oncology, Budapest, Hungary.
Gábor StelczerCenter of Radiotherapy, National Institute of Oncology, Budapest, Hungary.
Tibor MajorCenter of Radiotherapy, National Institute of Oncology, Budapest, Hungary.
Zoltán Takacsi-NagyCenter of Radiotherapy, National Institute of Oncology, Budapest, Hungary.
Csilla PesznyákCenter of Radiotherapy, National Institute of Oncology, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Online adaptive radiotherapy (oART) with cone-beam computed tomography (CBCT) enables real-time plan adaptation to daily anatomical changes in the patient. Synthetic CTs (sCTs), generated by deforming planning CTs (pCTs) to CBCTs, are crucial for precise dose calculations. However, variations such as gaseous volumes in the pelvis may impact alignment accuracy. Materials and methods: This retrospective study analyzed 90 treatment fractions for nine patients with cancer in the pelvic region, treated with CBCT-guided oART on the Ethos system. SCTs were generated and compared to corresponding CBCTs using similarity metrics, focusing on bony structures, external body contours, and gaseous volumes. Symmetric differences and Dice Similarity Coefficients (DSC) were calculated to evaluate the registration accuracy. Results: Bony structure deformations were minor (average volume change 0.2%, DSC 0.89). External body contours on sCTs aligned closely with CBCT (mean deviation 1.0 ± 0.4%), while gaseous volumes exhibited lower alignment (DSC < 0.5 in many fractions). Gaseous volume discrepancies were independent of the pCT and showed time-dependent variability, emphasizing the challenges in adapting density maps. Only a small portion of the gaseous volume differences overlapped with the planning target volume (PTV), suggesting limited direct impact on dose calculation. Conclusions: CBCT-based sCT adaptation effectively aligns external contours but does not accurately handle gaseous volumes, which may vary in great extent. Minimizing the time between CBCT acquisition and treatment is crucial to maintain alignment accuracy. Advanced imaging solutions enabling direct dose calculation without involving sCT generation could further enhance dose reconstruction but may not resolve the time-sensitive nature of gaseous volume changes.

Indexed as

deformationgaseous volumeoARTsynthetic CT

Identifiers

PMID41503558
PMCPMC12772943

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