Evidence map›Paper›PMID 37810756›Full record

ArticleFrontiers in radiology2023

Utilization of a two-material decomposition from a single-source, dual-energy CT in acute traumatic vertebral fractures.

Patrick Tivnan, Artem Kaliaev, Stephan W Anderson, Christina A LeBedis, Baojun Li, V Carlota Andreu-Arasa

Open access · goldAbstract read
In one paragraph

Article in Frontiers in radiology, 2023. 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
0.2field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Patrick TivnanDepartment of Radiology, Boston University School of Medicine, Boston, MA, United States.
Artem KaliaevDepartment of Radiology, Boston University School of Medicine, Boston, MA, United States.
Stephan W AndersonDepartment of Radiology, Boston University School of Medicine, Boston, MA, United States.
Christina A LeBedisDepartment of Radiology, Boston University School of Medicine, Boston, MA, United States.
Baojun LiDepartment of Radiology, Boston University School of Medicine, Boston, MA, United States.
V Carlota Andreu-ArasaDepartment of Radiology, Boston University School of Medicine, Boston, MA, United States.
Boston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study is to utilize a two-material decomposition to quantify bone marrow edema on a dual-energy computed tomography (DECT) scanner at the cervical, thoracic, and lumbar spine acute fractures in correlation with short tau inversion recovery (STIR) hyperintensity on magnetic resonance imaging (MRI) in comparison with the normal bone marrow. Materials and methods: This retrospective institutional review board-approved study gathered patients over 18 years old who had acute cervical, thoracic, or lumbar spinal fractures scanned on a DECT scanner. Those who had a spinal MRI done with bone marrow STIR hyperintensity within 3 weeks of the DECT were included. The water (calcium) and fat (calcium) density (mg/cm Results: A total of 20 patients met the inclusion criteria (males Conclusion: The DECT two-material decomposition using water (calcium) and fat (calcium) analyses has the ability to quantify a bone marrow edema at the acute fracture site in the thoracic and lumbar spine.

Indexed as

bone marrow edemacalciumdual-energy computed tomographyfat densityfracturemagnetic resonance imagingwater density

Identifiers

PMID37810756
PMCPMC10558208
OpenAlexW4386916075

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.