Evidence map›Paper›PMID 41356696›Full record

ArticleIEEE transactions on radiation and plasma medical sciences2025

Lower Extremity Flow Quantification Using Dynamic

Liang Guo, Stephanie L Thorn, Pedro Gil de Rubio Cruz, Zhao Liu, Jean-Dominique Gallezot, Qiong Liu, Eric Moulton, Richard E Carson, Albert J Sinusas, Chi Liu

Abstract read
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In one paragraph

Article in IEEE transactions on radiation and plasma medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Liang GuoDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520 USA.
Stephanie L ThornDepartment of Internal Medicine (Cardiology), Yale University, New Haven, CT 06520 USA.
Pedro Gil de Rubio CruzDepartment of Internal Medicine (Cardiology), Yale University, New Haven, CT 06520 USA.
Zhao LiuDepartment of Radiology and Biomedical Imaging, Yale University.
Jean-Dominique GallezotDepartment of Radiology and Biomedical Imaging, Yale University.
Qiong LiuDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520 USA.
Eric MoultonJubilant Radiopharma, Montreal, Quebec, Canada.
Richard E CarsonDepartment of Biomedical Engineering and the Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520 USA.
Albert J SinusasDepartment of Biomedical Engineering, the Department of Radiology and Biomedical Imaging, and the Department of Internal Medicine (Cardiology), Yale University, New Haven, CT 06520 USA.
Chi LiuDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520 USA.

Funding

Training In Multi-modality Molecular & Translational Cardiovascular ImagingT32HL098069 · NHLBI · YALE UNIVERSITY · PI JAMES S DUNCAN, Georges El Fakhri · 2010 to 2026
$5.2M
Multi-isotope Hybrid PET/CT/ Imaging of Peripheral Artery Disease in Diabetes: Diversity Supplement Post Doctoral TrainingR01HL163640 · NHLBI · YALE UNIVERSITY · PI Chi Liu, Albert J Sinusas · 2023 to 2026
$3.4M
NHLBI NIH HHS R01 HL163640NHLBI NIH HHS T32 HL098069
6 · The paper itself

Abstract

Accurate assessment of regional flow in the lower extremities is crucial for managing peripheral arterial disease (PAD) with critical limb ischemia. This study investigates dynamic

Indexed as

delay timedispersiondynamic PET imagingkinetic modelingPeripheral arterial disease

Identifiers

PMID41356696
PMCPMC12680076

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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.