Evidence map›Paper›PMID 36627570›Full record

ArticleBMC medical imaging2023

Anna Calabro', Yasser G Abdelhafez, Elizabeth K A Triumbari, Benjamin A Spencer, Moon S Chen, Domenico Albano, Christopher R Cassim, Francesco Bertagna, Francesco Dondi, Simon R Cherry and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Quantitative Total-Body Imaging of Blood Flow with High-Temporal-Resolution Early DynamicJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  3. Review
  4. Review
  5. Physiological Intraluminal Uptake ofIndian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India
    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

13 authors at 6 institutions in 3 countries.

Anna Calabro' *Department of Radiology, EXPLORER Molecular Imaging Center, University of California, Davis, 3195 Folsom Blvd, Davis, Sacramento, CA, 95816, USA. anna_calabro@hotmail.it.
Yasser G Abdelhafez *Department of Radiology, EXPLORER Molecular Imaging Center, University of California, Davis, 3195 Folsom Blvd, Davis, Sacramento, CA, 95816, USA.
Elizabeth K A TriumbariNuclear Medicine Unit, TracerGLab, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Benjamin A SpencerDepartment of Radiology, EXPLORER Molecular Imaging Center, University of California, Davis, 3195 Folsom Blvd, Davis, Sacramento, CA, 95816, USA.
Moon S ChenDepartment of Internal Medicine, University of California Davis, Davis, CA, USA.
Domenico AlbanoNuclear Medicine Department, University of Brescia and ASST Spedali Civili di Brescia, Brescia, Italy.
Christopher R CassimDepartment of Radiology, Sangre Grande Hospital, Eastern Regional Health Authority, Sangre Grande, Trinidad and Tobago.
Francesco BertagnaNuclear Medicine Department, University of Brescia and ASST Spedali Civili di Brescia, Brescia, Italy.
Francesco DondiNuclear Medicine Department, University of Brescia and ASST Spedali Civili di Brescia, Brescia, Italy.
Simon R CherryDepartment of Radiology, EXPLORER Molecular Imaging Center, University of California, Davis, 3195 Folsom Blvd, Davis, Sacramento, CA, 95816, USA.
Ramsey D BadawiDepartment of Radiology, EXPLORER Molecular Imaging Center, University of California, Davis, 3195 Folsom Blvd, Davis, Sacramento, CA, 95816, USA.
Fatma SenDepartment of Radiology, EXPLORER Molecular Imaging Center, University of California, Davis, 3195 Folsom Blvd, Davis, Sacramento, CA, 95816, USA.
Lorenzo NardoDepartment of Radiology, EXPLORER Molecular Imaging Center, University of California, Davis, 3195 Folsom Blvd, Davis, Sacramento, CA, 95816, USA.
Imaging Center · USUniversity of California, Davis · USAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITAssiut University · EGIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Brescia · IT

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
Basic applications for total-body PET in oncologyR01CA249422 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BADAWI, RAMSEY D., NARDO, LORENZO · 2019 to 2023
$3.1M
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA249422
6 · The paper itself

Abstract

backgroundTotal-body positron emission tomography/computed tomography (PET/CT) scanners are characterized by higher signal collection efficiency and greater spatial resolution compared to conventional scanners, allowing for delayed imaging and improved image quality. These advantages may also lead to better detection of physiological processes that diagnostic imaging professionals should be aware of. The gallbladder (GB) is not usually visualized as an MATERIALS AND

methodsScans from 73 participants (48 healthy and 25 with newly diagnosed lymphoma) who underwent

resultsAll 73 subjects showed GB uptake at one or more imaging timepoints. An increase in uptake intensity overtime was observed up until the 180-min scan, and the visualization rate of GB

conclusionThe consistent observation of GB

Indexed as

Fluorodeoxyglucose F18Positron Emission Tomography Computed TomographyGallbladderHumansPositron-Emission TomographyRadiopharmaceuticalsRetrospective StudiesTomography, X-Ray ComputedFluorodeoxyglucose F18RadiopharmaceuticalsFluorodeoxyglucose F18GallbladderPositron emission tomography computed tomographySodium-glucose transporter 1Total-body PET/CT

Identifiers

PMID36627570
PMCPMC9832624
OpenAlexW4314434025

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.