Evidence map›Paper›PMID 40287606›Full record

ArticleEJNMMI research2025

Measuring hypoxia in chronic limb-threatening ischemia using

Adam Farag, Andres Kohan, Tetsuro Sekine, Seyed Ali Mirshahvalad, Ur Metser, Sebastian Mafeld, Kongteng Tan, Patrick Veit-Haibach

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04054609 (Evaluation Of Prognostic Value of 18f-Fluoroazomycin Arabinoside), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT04054609 narecruitingnot on this map

Evaluation Of Prognostic Value of 18f-Fluoroazomycin Arabinoside (FAZA) Positron Emission Tomography/Magnetic Resonance Imaging (PET/MR) In Patients With Critical Limb Ischemia Pre- and Post Revascularization: a Pilot Study

TypeinterventionalSponsorUniversity Health Network, TorontoRan2019 to 2027Enrolled40ConditionsCritical Limb IschemiaArmsFAZA PET/MRI scan
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Prognostic value of [European journal of nuclear medicine and molecular imaging · 2026
    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

8 authors.

Adam FaragToronto Joint Dept. Medical Imaging, Women's College Hospital, University Medical Imaging Toronto, University Health Network, Mount Sinai Hospital, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada. adam.farag@uhn.ca.ORCID http://orcid.org/0000-0002-8439-9498
Andres KohanToronto Joint Dept. Medical Imaging, Women's College Hospital, University Medical Imaging Toronto, University Health Network, Mount Sinai Hospital, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Tetsuro SekineDepartment of Radiology, Nippon Medical School Musashi Kosugi Hospital, 1-383, Kosugi-cho, Nakahara-ku, Kanagawa, 211-8533, Japan.
Seyed Ali MirshahvaladToronto Joint Dept. Medical Imaging, Women's College Hospital, University Medical Imaging Toronto, University Health Network, Mount Sinai Hospital, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Ur MetserToronto Joint Dept. Medical Imaging, Women's College Hospital, University Medical Imaging Toronto, University Health Network, Mount Sinai Hospital, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Sebastian MafeldToronto Joint Dept. Medical Imaging, Women's College Hospital, University Medical Imaging Toronto, University Health Network, Mount Sinai Hospital, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Kongteng TanToronto Joint Dept. Medical Imaging, Women's College Hospital, University Medical Imaging Toronto, University Health Network, Mount Sinai Hospital, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada.
Patrick Veit-HaibachToronto Joint Dept. Medical Imaging, Women's College Hospital, University Medical Imaging Toronto, University Health Network, Mount Sinai Hospital, University of Toronto, 610 University Ave, Toronto, ON, M5G 2M9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic limb- threatening ischemia (CLTI) is a serious condition that can lead to amputation, and in some cases, it can be associated with mortality. Current clinical evaluation methods have several limitations. Therefore, new methods to assess CLTI are needed to better understand and measure underlying causes and functionality, and hence potentially improve the treatment. In this study, we use dynamic

resultsThe kinetic modelling goodness-of-fit metrics using AIF from independent limb with the irreversible-2TC3K model distinguished between index and contralateral limbs better than the reversable-2TC4K model. The Spearman correlation coefficients between the standardized uptake value (SUV) SUV-to-SUV

conclusionsThe kinetic modelling of

trial registrationClinicalTrials.gov, NCT04054609. Registered 20,190,611, https//clinicaltrials.gov/study/NCT04054609.

Indexed as

18F-FAZA.CLTIHypoxiaKinetic modellingPET/MRI

Identifiers

PMID40287606
PMCPMC12033150

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.