Evidence map›Paper›PMID 33598750›Full record

ArticleEJNMMI physics2021

Theranostic SPECT reconstruction for improved resolution: application to radionuclide therapy dosimetry.

H Marquis, D Deidda, A Gillman, K P Willowson, Y Gholami, T Hioki, E Eslick, K Thielemans, D L Bailey

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Review
  3. Evolving SPECT-CT technology.The British journal of radiology · 2026
    Review
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  5. Article
  6. Review
  7. Article
  8. MIRD Pamphlet No. 33: MIRDpvc-A Software Tool for Recovery Coefficient-Based Partial-Volume Correction.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Multimodality imaging of nanoparticle-based vaccines: Shedding light on immunology.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2022
    Review
  18. Article
  19. 3D printingEJNMMI physics · 2021
    Article
  20. 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

9 authors at 5 institutions in 2 countries.

H MarquisSydney Vital Translational Cancer Research Centre, Sydney, Australia.ORCID https://orcid.org/0000-0003-0970-5907
D DeiddaNational Physical Laboratory, Teddington, UK.ORCID https://orcid.org/0000-0002-2766-4339
A GillmanAustralian e-Health Research Centre, CSIRO, Brisbane, Australia.ORCID https://orcid.org/0000-0001-9130-1092
K P WillowsonDepartment of Nuclear Medicine, Royal North Shore Hospital, Sydney, Australia.ORCID https://orcid.org/0000-0002-2195-0596
Y GholamiSydney Vital Translational Cancer Research Centre, Sydney, Australia.ORCID https://orcid.org/0000-0002-7161-9367
T HiokiInstitute of Medical Physics, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0003-4116-3431
E EslickDepartment of Nuclear Medicine, Royal North Shore Hospital, Sydney, Australia.ORCID https://orcid.org/0000-0001-9821-0644
K ThielemansInstitute of Nuclear Medicine, University College London, London, UK.ORCID https://orcid.org/0000-0002-5514-199X
D L BaileySydney Vital Translational Cancer Research Centre, Sydney, Australia. dale.bailey@sydney.edu.au.ORCID http://orcid.org/0000-0001-9154-7957
The University of Sydney · AURoyal North Shore Hospital · AUCommonwealth Scientific and Industrial Research Organisation · AUNational Physical Laboratory · GBUniversity College London · GB

Funding

Cancer Institute NSW SC2736
6 · The paper itself

Abstract

backgroundSPECT-derived dose estimates in tissues of diameter less than 3× system resolution are subject to significant losses due to the limited spatial resolution of the gamma camera. Incorporating resolution modelling (RM) into the SPECT reconstruction has been proposed as a possible solution; however, the images produced are prone to noise amplification and Gibbs artefacts. We propose a novel approach to SPECT reconstruction in a theranostic setting, which we term SPECTRE (single photon emission computed theranostic reconstruction); using a diagnostic PET image, with its superior resolution, to guide the SPECT reconstruction of the therapeutic equivalent. This report demonstrates a proof in principle of this approach.

methodsWe have employed the hybrid kernelised expectation maximisation (HKEM) algorithm implemented in STIR, with the aim of producing SPECT images with PET-equivalent resolution. We demonstrate its application in both a dual

resultsSPECTRE is shown to produce images comparable in accuracy and recovery to PET with minimal introduction of artefacts and amplification of noise.

conclusionThe SPECTRE approach to image reconstruction shows improved quantitative accuracy with a reduction in noise amplification. SPECTRE shows great promise as a method of improving SPECT radioactivity concentrations, directly leading to more accurate dosimetry estimates in small structures and target lesions. Further investigation and optimisation of the algorithm parameters is needed before this reconstruction method can be utilised in a clinical setting.

Indexed as

Partial volume correctionRadionuclide therapyTheranosticsTumour dosimetry

Identifiers

PMID33598750
PMCPMC7889770
OpenAlexW3130062621

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.