Evidence map›Paper›PMID 37922377›Full record

ArticleJournal of applied clinical medical physics2024

Impact of attenuation correction of radiotherapy hardware for positron emission tomography-magnetic resonance in ano-rectal radiotherapy patients.

Jonathan J Wyatt, George Petrides, Rachel A Pearson, Hazel M McCallum, Ross J Maxwell

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2024. 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
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Jonathan J WyattTranslational and Clinical Research Institute, Newcastle University, Newcastle, UK.ORCID https://orcid.org/0000-0003-0748-0791
George PetridesTranslational and Clinical Research Institute, Newcastle University, Newcastle, UK.
Rachel A PearsonTranslational and Clinical Research Institute, Newcastle University, Newcastle, UK.
Hazel M McCallumTranslational and Clinical Research Institute, Newcastle University, Newcastle, UK.
Ross J MaxwellTranslational and Clinical Research Institute, Newcastle University, Newcastle, UK.

Funding

EIT Health 19037EIT Health 20648EIT Health 210995UK Research and Innovation
6 · The paper itself

Abstract

backgroundPositron Emission Tomography-Magnetic Resonance (PET-MR) scanners could improve ano-rectal radiotherapy planning through improved Gross Tumour Volume (GTV) delineation and enabling dose painting strategies using metabolic measurements. This requires accurate quantitative PET images acquired in the radiotherapy treatment position. PURPOSE: This study aimed to evaluate the impact on GTV delineation and metabolic parameter measurement of using novel Attenuation Correction (AC) maps that included the radiotherapy flat couch, coil bridge and anterior coil to see if they were necessary.

methodsSeventeen ano-rectal radiotherapy patients received a

resultsDifferences in semi-manual GTV volumes between

conclusionsThis study suggests that using AC maps with the radiotherapy hardware included is feasible for patient imaging. The impact on tumour delineation was mixed and needs to be evaluated in larger cohorts. However using AC of the radiotherapy hardware is important for situations where accurate metabolic measurements are required, such as dose painting and treatment prognostication.

Indexed as

Multimodal ImagingPositron-Emission TomographyFluorodeoxyglucose F18HumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticalsanal cancerattenuation correctionPET-MRPositron Emission Tomographyradiotherapyrectal cancer

Identifiers

PMID37922377
PMCPMC10962489

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Registered trials

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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.