Evidence map›Paper›PMID 41486096›Full record

ArticleMagnetic resonance in medicine2026

Bicomponent Mapping of Cortical Bone Using a New Interleaved UTE Imaging Sequence.

Soo Hyun Shin, Jiyo S Athertya, Arya Suprana, James Lo, Jiaji Wang, Dina Moazamian, Fanny Chapelin, Yajun Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2026. 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

8 authors.

Soo Hyun ShinDepartment of Radiology, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-1875-2908
Jiyo S AthertyaDepartment of Radiology, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-0866-1052
Arya SupranaDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
James LoDepartment of Radiology, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-7351-0752
Jiaji WangDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Dina MoazamianDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Fanny ChapelinDepartment of Radiology, University of California San Diego, La Jolla, California, USA.
Yajun MaDepartment of Radiology, University of California San Diego, La Jolla, California, USA.

Funding

Ultrashort Echo Time Magnetic Resonance Imaging of the Lumbar Intervertebral Disc.R01AR079484 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Yajun Ma · 2022 to 2026
$2.7M
NIAMS NIH HHS R01 AR079484NIH HHS R01AR079484
6 · The paper itself

Abstract

purposeUltrashort echo time (UTE) MRI enables direct imaging of cortical bone and quantification of its water compartments via bicomponent T

methodsThe proposed UTE sequence utilizes interleaved dual-echo acquisitions with flexible TE spacings. This sequence was tested on five healthy subjects' tibial midshafts and compared to conventional separate dual-echo scans with and without image registration. Bicomponent T

resultsThe interleaved method significantly reduced NRMSE (3.2% ± 2.3% vs. 6.2% ± 3.1%, p = 0.0231) and yielded lower and more stable T

conclusionThe proposed interleaved UTE dual-echo sequence improves the robustness of bicomponent T

Indexed as

Cortical BoneImage Interpretation, Computer-AssistedMagnetic Resonance ImagingTibiaAdultAlgorithmsFemaleHumansImage EnhancementImage Processing, Computer-AssistedMaleReproducibility of ResultsSensitivity and Specificitybicomponent modelingbone imagingmotion reductionUTE

Identifiers

PMID41486096
PMCPMC12854791

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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.