Evidence map›Paper›PMID 30034284›Full record

ArticleWorld journal of nuclear medicine

Visual detection of regional brain hypometabolism in cognitively impaired patients is independent of positron emission tomography-magnetic resonance attenuation correction method.

Ana M Franceschi, Valentino Abballe, Roy A Raad, Aaron Nelson, Kimberly Jackson, James Babb, Thomas Vahle, Matthias Fenchel, Yiqiang Zhan, Gerardo Hermosillo Valadez and 2 more

Open access · diamondAbstract read
In one paragraph

Article in World journal of nuclear medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Hybrid imaging in dementia: A semi-quantitative (World journal of nuclear medicine
    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

12 authors at 4 institutions in 2 countries.

Ana M FranceschiDepartment of Radiology, New York University Medical Center, New York, NY, USA.
Valentino AbballeDepartment of Radiology, New York University Medical Center, New York, NY, USA.
Roy A RaadDepartment of Radiology, New York University Medical Center, New York, NY, USA.
Aaron NelsonMIM Software Inc., Cleveland, OH, USA.
Kimberly JacksonDepartment of Radiology, New York University Medical Center, New York, NY, USA.
James BabbDepartment of Radiology, New York University Medical Center, New York, NY, USA.
Thomas VahleSiemens Healthcare Gmbh, Erlangen, Germany.
Matthias FenchelSiemens Healthcare Gmbh, Erlangen, Germany.
Yiqiang ZhanSiemens Medical Solutions, Malvern, PA, USA.
Gerardo Hermosillo ValadezSiemens Medical Solutions, Malvern, PA, USA.
Timothy M ShepherdDepartment of Radiology, New York University Medical Center, New York, NY, USA.
Kent P FriedmanDepartment of Radiology, New York University Medical Center, New York, NY, USA.
New York University · USSiemens Healthcare (Germany) · DEAdvanced Imaging Research (United States) · USColumbia University Irving Medical Center · US

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

Fluorodeoxyglucose (FDG) positron emission tomography-magnetic resonance (PET/MR) is useful for the evaluation of cognitively-impaired patients. This study aims to assess two different attenuation correction (AC) methods (Dixon-MR and atlas-based) versus index-standard computed tomography (CT) AC for the visual interpretation of regional hypometabolism in patients with cognitive impairment. Two board-certified nuclear medicine physicians blindly scored brain region FDG hypometabolism as normal versus hypometabolic using two-dimensional (2D) and 3D FDG PET/MR images generated by MIM software. Regions were quantitatively assessed as normal versus mildly, moderately, or severely hypometabolic. Hypometabolism scores obtained using the different methods of AC were compared, and interreader, as well as intra-reader agreement, was assessed. Regional hypometabolism versus normal metabolism was correctly classified in 16 patients on atlas-based and Dixon-based AC map PET reconstructions (vs. CT reference AC) for 94% (90%-96% confidence interval [CI]) and 93% (89%-96% CI) of scored regions, respectively. The averaged sensitivity/specificity for detection of any regional hypometabolism was 95%/94% (

Indexed as

Attenuation correctionbraindementiaDixonpositron emission tomography-magnetic resonance

Identifiers

PMID30034284
PMCPMC6034547
OpenAlexW2809201179

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.