Evidence map›Paper›PMID 33542967›Full record

ArticleIEEE transactions on radiation and plasma medical sciences2020

Comparison of Correction Techniques for the Spill in Effect in Emission Tomography.

Mercy I Akerele, Nicolas A Karakatsanis, Daniel Deidda, Jacobo Cal-Gonzalez, Rachael O Forsythe, Marc R Dweck, Maaz Syed, David E Newby, Robert G Aykroyd, Steven Sourbron and 1 more

Abstract read
In one paragraph

Article in IEEE transactions on radiation and plasma medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Evaluating image-derived input functions for cerebral [Frontiers in nuclear medicine · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Assessment of different quantification metrics of [Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  7. Improved identification of abdominal aortic aneurysm using the Kernelized Expectation Maximization algorithm.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Article
  8. 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.

Mercy I AkereleBiomedical Imaging Science Department, Faculty of Medicine and Health, University of Leeds, UK; Department of Radiology, Weil Cornell Medical College of Cornell University, NY, USA.
Nicolas A KarakatsanisDepartment of Radiology, Weil Cornell Medical College of Cornell University, NY, USA; Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, NY.
Daniel DeiddaBiomedical Imaging Science Department, Faculty of Medicine and Health, University of Leeds, UK; Department of Statistics, University of Leeds, UK; Nuclear Medicine Imaging, Medical Radiation Physics, National Physical Laboratory, London, UK.
Jacobo Cal-GonzalezMedical University of Vienna, Vienna, Austria.
Rachael O ForsytheUniversity of Edinburgh, UK.
Marc R DweckUniversity of Edinburgh, UK.
Maaz SyedUniversity of Edinburgh, UK.
David E NewbyUniversity of Edinburgh, UK.
Robert G AykroydDepartment of Statistics, University of Leeds, UK.
Steven SourbronBiomedical Imaging Science Department, Faculty of Medicine and Health, University of Leeds, UK.
Charalampos TsoumpasBiomedical Imaging Science Department, Faculty of Medicine and Health, University of Leeds, UK; Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, NY.

Funding

British Heart Foundation CH/09/002/26360British Heart Foundation FS/14/78/31020British Heart Foundation FS/18/31/33676British Heart Foundation RE/18/5/34216British Heart Foundation RG/16/10/32375Medical Research Council G0701127Medical Research Council MC_PC_12040
6 · The paper itself

Abstract

In positron emission tomography (PET) imaging, accurate clinical assessment is often affected by the partial volume effect (PVE) leading to overestimation (spill-in) or underestimation (spill-out) of activity in various small regions. The spill-in correction, in particular, can be very challenging when the target region is close to a hot background region. Therefore, this study evaluates and compares the performance of various recently developed spill-in correction techniques, namely: background correction (BC), local projection (LP), and hybrid kernelized (HKEM) methods. We used a simulated digital phantom and [

Indexed as

PETPVEquantificationSPECTspill-in effect

Identifiers

PMID33542967
PMCPMC7116684

What OpenQuestion holds

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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.