Evidence map›Paper›PMID 39607089›Full record

ArticleMedical physics2025

Dose distributions of proton therapy plans are robust against lowering the resolution of CTs combined with increasing noise.

Carla Frensch, Claus Maximilian Bäcker, Walter Jentzen, Ann-Kristin Lüvelsmeyer, Mohammadreza Teimoorisichani, Jörg Wulff, Beate Timmermann, Christian Bäumer

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Carla FrenschWest German Proton Therapy Centre Essen, Essen, Germany.
Claus Maximilian BäckerWest German Proton Therapy Centre Essen, Essen, Germany.
Walter JentzenClinic for Nuclear Medicine, University Hospital Essen, Essen, Germany.
Ann-Kristin LüvelsmeyerWest German Proton Therapy Centre Essen, Essen, Germany.
Mohammadreza TeimoorisichaniSiemens Medical Solutions USA Inc., Knoxville, Tennessee, USA.
Jörg WulffWest German Proton Therapy Centre Essen, Essen, Germany.
Beate TimmermannWest German Proton Therapy Centre Essen, Essen, Germany.
Christian BäumerWest German Proton Therapy Centre Essen, Essen, Germany.

Funding

Deutsche Forschungsgemeinschaft 525659135H2020 Euratom 847707
6 · The paper itself

Abstract

backgroundTreatment planning in radiation therapy (RT) is performed on image sets acquired with commercial x-ray computed tomography (CT) scanners. Considering an increased frequency of verification scans for adaptive RT and the advent of alternatives to x-ray CTs, there is a need to review the requirements for image sets used in RT planning. PURPOSE: This study aims to derive the required image quality (IQ) for the computation of the dose distribution in proton therapy (PT) regarding spatial resolution and the combination of spatial resolution and noise. The knowledge gained is used to explore the potential for dose reduction in tomography-guided PT.

methodsMathematical considerations indicate that the required spatial resolution for dose computation is on the scale of the set-up margins fed into the robust optimization. This hypothesis was tested by processing retrospectively 12 clinical PT cases, which reflect a variety of tumor localizations. Image sets were low-pass filtered and were made noisy in a generic manner. Dose distributions on the modified CT scans were computed with a Monte-Carlo dose engine. The similarity of these dose distributions with clinical ones was quantified with the gamma-index (1 mm/1%). The potential reduction of the x-ray exposure compared to the planning CT scan was estimated.

resultsDose distributions within the irradiated volume were robust against low-pass filtering of the CTs with kernels up to a full-width-at-half-maximum of 4 mm, that is, the gamma pass rate (1 mm/1%) was

conclusionsThe requirements on IQ in terms of spatial resolution in combination with noise for computing the dose in PT are clearly lower than the IQ of current clinical planning. The results apply, for example, to ultra-low dose x-ray CTs, proton CTs with coarse spatial detection, and attenuation images from the joint reconstruction of time-of-flight PET scans.

Indexed as

Proton TherapyRadiation DosageRadiotherapy Planning, Computer-AssistedSignal-To-Noise RatioTomography, X-Ray ComputedHumansMonte Carlo MethodRadiotherapy DosageCT dose reductionimage qualityproton therapyrobust optimizationspatial resolution

Identifiers

PMID39607089
PMCPMC11788265

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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.