Evidence map›Paper›PMID 42482413›Full record

ArticleMedical physics2026

An ion treatment planning framework for inclusion of nanodosimetric ionization detail through cluster dose.

Simona Facchiano, Ramon Ortiz, Remo Cristoforetti, Naoki D-Kondo, Oliver Jäkel, Bruce Faddegon, Niklas Wahl

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Article in Medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Simona FacchianoDepartment of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Ramon OrtizDepartment of Radiation Oncology, University of California San Francisco (UCSF), San Francisco, California, USA.
Remo CristoforettiDepartment of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Naoki D-KondoDepartment of Radiation Oncology, University of California San Francisco (UCSF), San Francisco, California, USA.
Oliver JäkelDepartment of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Bruce FaddegonDepartment of Radiation Oncology, University of California San Francisco (UCSF), San Francisco, California, USA.
Niklas WahlDepartment of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Funding

Ionization Detail - Biologically based treatment planning for particle therapy beyond LET-RBER01CA266467 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRUCE FADDEGON, Jian-Hua Mao · 2022 to 2026
$3.0M
Deutsche Forschungsgemeinschaft 443188743NCI NIH HHS R01 CA266467NIH HHS R01CA266467
6 · The paper itself

Abstract

backgroundNanodosimetry relates the cumulative or statistical moments of Ionization Detail (ID) with biological endpoints of relevance to cancer radiotherapy using charged particles. This association suggests to develop an additional physics-detailed layer of modeling that may complement biological modeling and treatment planning. The recently introduced cluster dose PURPOSE: In this work, we developed a framework to enable flexible and direct cluster dose optimization using a pencil-beam algorithm, which we validated with condensed history Monte Carlo (MC) simulations.

methodsCluster dose combines the contributions to

resultsOur framework provided accurate, practical cluster dose calculation and planning. PB algorithms achieve typical accuracy for cluster dose calculation comparable to dose calculation. Recalculation with TOPAS on the box phantom yielded 3D gamma passing rates (GPRs) greater than

conclusionsWe demonstrate that fast, direct cluster dose calculation and optimization is feasible using MC validated planning with PB algorithms. Cluster dose prescription and optimization results in the expected cluster dose coverage and physical dose levels depending on the respective primary ion.

Indexed as

NeoplasmsRadiotherapy DosageRadiotherapy Planning, Computer-AssistedCarbonHeliumHumansIonsMalePhantoms, ImagingProstateProtonsRadiometryCarbonHeliumIonsProtonscarbon ionscluster doseheliumionization parameterMonte Carlo simulationnanodosimetrypencil‐beam algorithmplanningprotonsradiotherapy treatment planning

Identifiers

PMID42482413
PMCPMC13389356

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.