ArticlePhysical and engineering sciences in medicine2024
Nanodosimetric quantity-weighted dose optimization for carbon-ion treatment planning.
Article in Physical and engineering sciences in medicine, 2024. 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, 3 citations in OpenAlex.
- An ion treatment planning framework for inclusion of nanodosimetric ionization detail through cluster dose.Medical physics · 2026Article
- One scale to rule them all: interpretable multi-scale Deep Learning for predicting cell survival after proton and carbon ion irradiation.Frontiers in artificial intelligence · 2026Article
- Extending the microdosimetry gamma model (MGM) to estimate induced DNA damage and its complexity at macroscopic scale by protons and helium ions.Physics in medicine and biology · 2025Article
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Authors and funding
9 authors at 1 institution in 1 country.
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Abstract
Dose verification of treatment plans is an essential step in radiotherapy workflows. In this work, we propose a novel method of treatment planning based on nanodosimetric quantity-weighted dose (NQWD), which could realize biological representation using pure physical quantities for biological-oriented carbon ion-beam treatment plans and their direct verification. The relationship between nanodosimetric quantities and relative biological effectiveness (RBE) was studied with the linear least-squares method for carbon-ion radiation fields. Next, under the framework of the matRad treatment planning platform, NQWD was optimized using the existing RBE-weighted dose (RWD) optimization algorithm. The schemes of NQWD-based treatment planning were compared with the RWD treatment plans in term of the microdosimetric kinetic model (MKM). The results showed that the nanodosimetric quantity F
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