Evidence map›Paper›PMID 39997559›Full record

ArticleJournal of imaging2025

Estimation of Trabecular Bone Volume with Dual-Echo Ultrashort Echo Time (UTE) Magnetic Resonance Imaging (MRI) Significantly Correlates with High-Resolution Computed Tomography (CT).

Karen Y Cheng, Dina Moazamian, Behnam Namiranian, Hamidreza Shaterian Mohammadi, Salem Alenezi, Christine B Chung, Saeed Jerban

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging, 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

7 authors.

Karen Y ChengDepartment of Radiology, University of California, La Jolla, San Diego, CA 92037, USA.
Dina MoazamianDepartment of Radiology, University of California, La Jolla, San Diego, CA 92037, USA.
Behnam NamiranianDepartment of Radiology, University of California, La Jolla, San Diego, CA 92037, USA.
Hamidreza Shaterian MohammadiDepartment of Radiology, University of California, La Jolla, San Diego, CA 92037, USA.
Salem AleneziResearch and Laboratories Sector, Saudi Food and Drug Authority, Riyadh 13513-7148, Saudi Arabia.
Christine B ChungDepartment of Radiology, University of California, La Jolla, San Diego, CA 92037, USA.
Saeed JerbanDepartment of Radiology, University of California, La Jolla, San Diego, CA 92037, USA.ORCID 0000-0001-6450-2892

Funding

Resource-based Center for the study of the joint microenvironment in rheumatology (Overall Application)P30AR073761 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S · 2018 to 2022
$3.9M
Knee evaluation under mechanical loading by cones ultrashort echo time MR imagingK01AR080257 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI saeed jerban · 2022 to 2026
$602k
CSRD VA I01 CX000625NIAMS NIH HHS K01 AR080257NIAMS NIH HHS P30 AR073761NIH HHS 5P30AR073761NIH HHS K01AR080257Veterans Affairs Clinical Science and Rehabilitation R&D I01CX000625
6 · The paper itself

Abstract

Trabecular bone architecture has important implications for the mechanical strength of bone. Trabecular elements appear as signal void when imaged utilizing conventional magnetic resonance imaging (MRI) sequences. Ultrashort echo time (UTE) MRI can acquire high signal from trabecular bone, allowing for quantitative evaluation. However, the trabecular morphology is often disturbed in UTE-MRI due to chemical shift artifacts caused by the presence of fat in marrow. This study aimed to evaluate a UTE-MRI technique to estimate the trabecular bone volume fraction (BVTV) without requiring trabecular-level morphological assessment. A total of six cadaveric distal tibial diaphyseal trabecular bone cubes were scanned using a dual-echo UTE Cones sequence (TE = 0.03 and 2.2 ms) on a clinical 3T MRI scanner and on a micro-computed tomography (μCT) scanner. The BVTV was calculated from 10 consecutive slices on both the MR and μCT images. BVTV calculated from the MR images showed strongly significant correlation with the BVTV determined from μCT images (R = 0.84,

Indexed as

fracture risk assessmentmicro-computed tomographyquantitative MRItrabecular boneultrashort echo time

Identifiers

PMID39997559
PMCPMC11856473

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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.