Evidence map›Paper›PMID 37133766›Full record

ArticleEJNMMI physics2023

Triple modality image reconstruction of PET data using SPECT, PET, CT information increases lesion uptake in images of patients treated with radioembolization with

Daniel Deidda, Ana M Denis-Bacelar, Andrew J Fenwick, Kelley M Ferreira, Warda Heetun, Brian F Hutton, Daniel R McGowan, Andrew P Robinson, James Scuffham, Kris Thielemans and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI physics, 2023. 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
0.9field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

11 authors at 4 institutions in 1 country.

Daniel DeiddaNational Physical Laboratory, Teddington, UK.ORCID 0000-0002-2766-4339
Ana M Denis-Bacelar *National Physical Laboratory, Teddington, UK.
Andrew J Fenwick *National Physical Laboratory, Teddington, UK.
Kelley M Ferreira *National Physical Laboratory, Teddington, UK.
Warda Heetun *National Physical Laboratory, Teddington, UK.
Brian F Hutton *Nuclear Medicine Institute, University College London, London, UK.
Daniel R McGowan *Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Andrew P Robinson *National Physical Laboratory, Teddington, UK.
James Scuffham *Royal Surrey NHS Foundation Trust, Guildford, UK.
Kris Thielemans *Nuclear Medicine Institute, University College London, London, UK.
Robert Twyman *Nuclear Medicine Institute, University College London, London, UK.
National Physical Laboratory · GBUniversity College London · GBRoyal Surrey NHS Foundation Trust · GBUniversity of Oxford · GB

Funding

EPSRC EP/T026693/1
6 · The paper itself

Abstract

purposeNuclear medicine imaging modalities like computed tomography (CT), single photon emission CT (SPECT) and positron emission tomography (PET) are employed in the field of theranostics to estimate and plan the dose delivered to tumors and the surrounding tissues and to monitor the effect of the therapy. However, therapeutic radionuclides often provide poor images, which translate to inaccurate treatment planning and inadequate monitoring images. Multimodality information can be exploited in the reconstruction to enhance image quality. Triple modality PET/SPECT/CT scanners are particularly useful in this context due to the easier registration process between images. In this study, we propose to include PET, SPECT and CT information in the reconstruction of PET data. The method is applied to Yttrium-90 (

methodsData from a NEMA phantom filled with

resultsOur results show that triple modality PET reconstruction provides significantly higher uptake when compared to the method used as standard in the hospital and OSEM. In particular, using CT-guided SPECT images, as guiding information in the PET reconstruction significantly increases uptake quantification on tumoral lesions.

conclusionThis work proposes the first triple modality reconstruction method and demonstrates up to 69% lesion uptake increase over standard methods with SIRT

Indexed as

Iterative reconstructionKernel methodPET-SPECT-CTTriple modality

Identifiers

PMID37133766
PMCPMC10156904
OpenAlexW4367834310

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.