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Peer-reviewedCC BY-NC-ND 4.0Radiation Oncology (London, England)

Quantitative assessment of deformable image registration accuracy for cumulative dose estimation in multi-site stereotactic re-irradiation

5 affiliations
  1. 1Department of Oncology, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia
  2. 2Clinical Research, King Abdullah International Medical Research Center (KAIMRC), Riyadh, Kingdom of Saudi Arabia
  3. 3Advanced Management of Liver Malignancies Program, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
  4. 4Radiotherapy Unit, Pusat Perubatan Universiti Sains Malaysia, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
  5. 5Radiological Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia

Abstract

Background: Re-irradiation of previously treated anatomical sites requires precise cumulative dose estimation to balance tumor control with organ-at-risk (OAR) tolerance. Conventional physical dose summation fails to account for inter-treatment anatomical deformations, potentially leading to systematic over- or underestimation of OAR doses. This study evaluates intensity-based deformable image registration (DIR) for improving dose accumulation accuracy in multiple stereotactic ablative radiotherapy (SABR) re-irradiation across different anatomical sites.

Methods: Sixty patients (226 lesions) who underwent robotic CyberKnife-based SABR re-irradiation (2–5 courses) to liver (36.7%), brain (36.7%), lung (10%), and spine (16.7%) metastases between 2016 and 2025 were analyzed. Cumulative OAR doses were calculated using both DIR-based approach and traditional physical summation. DIR registration accuracy was quantified using dice similarity coefficient (DSC), jaccard index (JI). Biologically effective dose (BED) and equivalent dose in 2 Gy fractions (EQD2) conversions were evaluated for dose assessments across heterogeneous fractionation schedules.

Results: DIR-based dose accumulation demonstrated significantly lower maximum doses compared with physical summation: liver maximum dose decreased from 123.8 ± 55.6 Gy to 83.2 ± 28.0 Gy (p < 0.001) and chest wall maximum dose reduced from 82.9 ± 22.4 Gy to 66.9 ± 18.6 Gy (p = 0.05). DIR yielded excellent spatial agreement for relatively rigid structures, including the heart, liver, kidneys, and brainstem (DSC > 0.90; JI > 0.84), whereas highly deformable organs such as the bowel and stomach demonstrated markedly inferior agreement (DSC < 0.50; JI < 0.35). Biological dose assessment revealed that DIR-guided workflow more accurately reflected cumulative dose patterns.

Conclusion: Deformable registration improves cumulative dose estimation accuracy for multiple SABR re-irradiation. Integration of validated DIR with quantitative quality assurance and biological dose modeling provides a robust framework for multiple re-irradiation workflows. Future prospective studies correlating DIR-derived doses with clinical toxicity are warranted to validate the clinical impact of improved dosimetric accuracy.

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BibTeX
@article{yoosuf2026quantitative,
  title = {{Quantitative assessment of deformable image registration accuracy for cumulative dose estimation in multi-site stereotactic re-irradiation}},
  author = {Ahamed Badusha Mohamed Yoosuf and Mohd Zahri Abdul Aziz and Salem Alshehri and Mamdouh Alqathami},
  journal = {Radiation Oncology (London, England)},
  year = {2026},
  month = jul,
  doi = {10.1186/s13014-026-02897-8},
  url = {https://doi.org/10.1186/s13014-026-02897-8},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Quantitative assessment of deformable image registration accuracy for cumulative dose estimation in multi-site stereotactic re-irradiation
AU  - Ahamed Badusha Mohamed Yoosuf
AU  - Mohd Zahri Abdul Aziz
AU  - Salem Alshehri
AU  - Mamdouh Alqathami
PY  - 2026
DA  - 2026/07/31
JO  - Radiation Oncology (London, England)
DO  - 10.1186/s13014-026-02897-8
UR  - https://doi.org/10.1186/s13014-026-02897-8
AB  - Background: Re-irradiation of previously treated anatomical sites requires precise cumulative dose estimation to balance tumor control with organ-at-risk (OAR) tolerance. Conventional physical dose summation fails to account for inter-treatment anatomical deformations, potentially leading to systematic over- or underestimation of OAR doses. This study evaluates intensity-based deformable image registration (DIR) for improving dose accumulation accuracy in multiple stereotactic ablative radiotherapy (SABR) re-irradiation across different anatomical sites.  Methods: Sixty patients (226 lesions) who underwent robotic CyberKnife-based SABR re-irradiation (2–5 courses) to liver (36.7%), brain (36.7%), lung (10%), and spine (16.7%) metastases between 2016 and 2025 were analyzed. Cumulative OAR doses were calculated using both DIR-based approach and traditional physical summation. DIR registration accuracy was quantified using dice similarity coefficient (DSC), jaccard index (JI). Biologically effective dose (BED) and equivalent dose in 2 Gy fractions (EQD2) conversions were evaluated for dose assessments across heterogeneous fractionation schedules.  Results: DIR-based dose accumulation demonstrated significantly lower maximum doses compared with physical summation: liver maximum dose decreased from 123.8 ± 55.6 Gy to 83.2 ± 28.0 Gy (p < 0.001) and chest wall maximum dose reduced from 82.9 ± 22.4 Gy to 66.9 ± 18.6 Gy (p = 0.05). DIR yielded excellent spatial agreement for relatively rigid structures, including the heart, liver, kidneys, and brainstem (DSC > 0.90; JI > 0.84), whereas highly deformable organs such as the bowel and stomach demonstrated markedly inferior agreement (DSC < 0.50; JI < 0.35). Biological dose assessment revealed that DIR-guided workflow more accurately reflected cumulative dose patterns.  Conclusion: Deformable registration improves cumulative dose estimation accuracy for multiple SABR re-irradiation. Integration of validated DIR with quantitative quality assurance and biological dose modeling provides a robust framework for multiple re-irradiation workflows. Future prospective studies correlating DIR-derived doses with clinical toxicity are warranted to validate the clinical impact of improved dosimetric accuracy.
SN  - 1748-717X
ER  -