ArticleJournal of applied clinical medical physics2023
The dosimetric impact of titanium implants in spinal SBRT using four commercial treatment planning algorithms.
Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 4 citations in OpenAlex.
- Comparison of Titanium and Carbon Fiber-Reinforced Polyetheretherketone Spinal Implants in Postoperative Spine Stereotactic Body Radiation Therapy: A Comprehensive Review of Current Evidence and Future Perspectives.Advances in radiation oncology · 2026Review
- Nominal material density may not reflect TPS-relevant density for 3D-printed surgical reconstruction implants: An educational case study.Journal of applied clinical medical physics · 2026Article
- Safety and efficacy of carbon fiber-reinforced polyetheretherketone implants in primary and metastatic spinal tumors: a systematic review and meta-analysis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Review
- Advantages of carbon fibre-reinforced polyetheretherketone over titanium implants in spine SBRT: a phantom evaluation.Physical and engineering sciences in medicine · 2025Article
- Application of dose-gradient function in reducing radiation induced lung injury in breast cancer radiotherapy.Journal of X-ray science and technology · 2024Article
- The dosimetric impact of titanium implants in spinal SBRT using four commercial treatment planning algorithms.Journal of applied clinical medical physics · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To evaluate the dosimetric impact of titanium implants in spine SBRT using four dose calculation algorithms. Twenty patients with titanium implants in the spine treated with SBRT without density override (DO) were selected. The clinical plan for each patient was created in Pinnacle and subsequently imported into Eclipse (AAA and AcurosXB) and Raystation (CC) for dose evaluation with and without DO to the titanium implant. We renormalized all plans such that 90% of the tumor volume received the prescription dose and subsequently evaluated the following dose metrics: (1) the maximum dose to 0.03 cc (Dmax), dose to 99% (D99%) and 90% (D90%) of the tumor volume; (2) Dmax and volumetric metrics of the spinal cord. For the same algorithm, plans with and without DO had similar dose distributions. Differences in Dmax, D99% and D90% of the tumor were on average <2% with slightly larger variations up to 5.58% in Dmax using AcurosXB. Dmax of the spinal cord for plans calculated with DO increased but the differences were clinically insignificant for all algorithms (mean: 0.36% ± 0.7%). Comparing to the clinical plans, the relative differences for all algorithms had an average of 1.73% (-10.36%-13.21%) for the tumor metrics and -0.93% (-9.87%-10.95%) for Dmax of the spinal cord. A few cases with small tumor and spinal cord volumes, dose differences of >10% in both D99% and Dmax of the tumor, and Dmax of the spinal cord were observed. For all algorithms, the presence of titanium implants in the spine for most patients had minimal impact on dose distributions with and without DO. For the same plan calculated with different algorithms, larger differences in volumetric metrics of >10% could be observed, impacted by dose gradient at the plan normalization volume, tumor volumes, plan complexity, and partial voxel volume interpolation.
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