ArticleJournal of applied clinical medical physics2023
A component method to delineate surgical spine implants for proton Monte Carlo dose calculation.
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 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Neural Representation Learning for Compact and Efficient Modeling of Monte Carlo Phase Space Data.International journal of particle therapy · 2026Article
- Deep learning-based Fast Volumetric Image Generation for Image-guided Proton Radiotherapy.IEEE transactions on radiation and plasma medical sciences · 2024Article
- A component method to delineate surgical spine implants for proton Monte Carlo dose calculation.Journal of applied clinical medical physics · 2023Article
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMetallic implants have been correlated to local control failure for spinal sarcoma and chordoma patients due to the uncertainty of implant delineation from computed tomography (CT). Such uncertainty can compromise the proton Monte Carlo dose calculation (MCDC) accuracy. A component method is proposed to determine the dimension and volume of the implants from CT images.
methodsThe proposed component method leverages the knowledge of surgical implants from medical supply vendors to predefine accurate contours for each implant component, including tulips, screw bodies, lockers, and rods. A retrospective patient study was conducted to demonstrate the feasibility of the method. The reference implant materials and samples were collected from patient medical records and vendors, Medtronic and NuVasive. Additional CT images with extensive features, such as extended Hounsfield units and various reconstruction diameters, were used to quantify the uncertainty of implant contours.
resultsFor in vivo patient implant estimation, the reference and the component method differences were 0.35, 0.17, and 0.04 cm
conclusionsA component method was developed and demonstrated using phantom and patient studies with implants. The proposed method provides more accurate implant characterization for proton MCDC and can potentially enhance the treatment quality for proton therapy. The current proof-of-concept study is limited to the implant characterization for lumbar spine. Future investigations could be extended to cervical spine and dental implants for head-and-neck patients where tight margins are required to spare organs at risk.
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