Evidence map›Paper›PMID 34709667›Full record

ArticleMedical physics2022

Experimental comparison of photon versus particle computed tomography to predict tissue relative stopping powers.

Esther Bär, Lennart Volz, Charles-Antoine Collins-Fekete, Stephan Brons, Armin Runz, Reinhard Wilhelm Schulte, Joao Seco

Open access · hybridAbstract read
In one paragraph

Article in Medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

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

7 authors at 4 institutions in 3 countries.

Esther BärDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Lennart VolzBiomedical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld, Heidelberg, Germany.
Charles-Antoine Collins-FeketeDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Stephan BronsHeidelberg Ion Beam Therapy Center, Im Neuenheimer Feld, Heidelberg, Germany.
Armin RunzMedical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld, Heidelberg, Germany.
Reinhard Wilhelm SchulteDivision of Biomedical Engineering Sciences, Loma Linda University, Loma Linda, California, USA.
Joao SecoBiomedical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld, Heidelberg, Germany.
Heidelberg University · DEUniversity College London · GBHeidelberger Institut für Radioonkologie · DELoma Linda University · US

Funding

Translating Proton CT from the Physics Laboratory to Clinical ApplicationR01EB013118 · NIBIB · LOMA LINDA UNIVERSITY · PI BASHKIROV, VLADIMIR A., SADROZINSKI, HARTMUT F.-W. · 2011 to 2014
$2.0M
Cancer Research UK C7893/A28990PTCOG 010000626PTCOG, Seed fundingUK Research and Innovation MR/T040785/1
6 · The paper itself

Abstract

purposeMeasurements comparing relative stopping power (RSP) accuracy of state-of-the-art systems representing single-energy and dual-energy computed tomography (SECT/DECT) with proton CT (pCT) and helium CT (HeCT) in biological tissue samples.

methodsWe used 16 porcine and bovine samples of various tissue types and water, covering an RSP range from 0.90

resultsThroughout all samples, we observe the following root-mean-squared RSP prediction errors

conclusionComparing state-of-the-art SECT/DECT technology and a pCT/HeCT prototype, DECT provided the most accurate RSP prediction, closely followed by particle imaging. The novel modalities pCT and HeCT have the potential to further improve on RSP accuracies with work focusing on the origin and correction of ring artifacts. Future work will study accuracy of proton treatment plans using RSP maps from investigated imaging modalities.

Indexed as

Proton TherapyTomography, X-Ray ComputedAnimalsCalibrationCattlePhantoms, ImagingProtonsSwineProtonsdual-energy computed tomographyparticle computed tomographyproton stopping power

Identifiers

PMID34709667
PMCPMC13655494
OpenAlexW3210646865

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.