Evidence map›Paper›PMID 39980853›Full record

ReviewFrontiers in endocrinology2025

UTE MRI technical developments and applications in osteoporosis: a review.

Soo Hyun Shin, Hee Dong Chae, Arya Suprana, Saeed Jerban, Eric Y Chang, Lingyan Shi, Robert L Sah, Jeremy H Pettus, Gina N Woods, Jiang Du

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

10 authors.

Soo Hyun Shin *Department of Radiology, University of California, San Diego, San Diego, CA, United States.
Hee Dong Chae *Department of Radiology, University of California, San Diego, San Diego, CA, United States.
Arya Suprana *Department of Radiology, University of California, San Diego, San Diego, CA, United States.
Saeed JerbanDepartment of Radiology, University of California, San Diego, San Diego, CA, United States.
Eric Y ChangDepartment of Radiology, University of California, San Diego, San Diego, CA, United States.
Lingyan ShiDepartment of Bioengineering, University of California, San Diego, San Diego, CA, United States.
Robert L SahDepartment of Bioengineering, University of California, San Diego, San Diego, CA, United States.
Jeremy H PettusDepartment of Medicine, University of California, San Diego, San Diego, CA, United States.
Gina N WoodsDepartment of Medicine, University of California, San Diego, San Diego, CA, United States.
Jiang DuDepartment of Radiology, University of California, San Diego, San Diego, CA, United States.

Funding

Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of BoneR01AR068987 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2015 to 2024
$4.9M
Quantitative UTE MR Imaging: Sensitive Biomarkers for OsteoarthritisR01AR062581 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2013 to 2022
$4.1M
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
Three-dimensional Ultrashort Echo Time Magnetic Resonance Imaging of EnthesesR01AR075825 · NIAMS · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI CHANG, ERIC Y · 2019 to 2023
$1.8M
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
BLRD VA I01 BX005952NIAMS NIH HHS K01 AR080257NIAMS NIH HHS R01 AR062581NIAMS NIH HHS R01 AR068987NIAMS NIH HHS R01 AR075825NIAMS NIH HHS R01 AR079484
6 · The paper itself

Abstract

Osteoporosis (OP) is a metabolic bone disease that affects more than 10 million people in the USA and leads to over two million fractures every year. The disease results in serious long-term disability and death in a large number of patients. Bone mineral density (BMD) measurement is the current standard in assessing fracture risk; however, the majority of fractures cannot be explained by BMD alone. Bone is a composite material of mineral, organic matrix, and water. While bone mineral provides stiffness and strength, collagen provides ductility and the ability to absorb energy before fracturing, and water provides viscoelasticity and poroelasticity. These bone components are arranged in a complex hierarchical structure. Both material composition and physical structure contribute to the unique strength of bone. The contribution of mineral to bone's mechanical properties has dominated scientific thinking for decades, partly because collagen and water are inaccessible using X-ray based techniques. Accurate evaluation of bone requires information about its components (mineral, collagen, water) and structure (cortical porosity, trabecular microstructure), which are all important in maintaining the mechanical integrity of bone. Magnetic resonance imaging (MRI) is routinely used to diagnose soft tissue diseases, but bone is "invisible" with clinical MRI due to its short transverse relaxation time. This review article discusses using ultrashort echo time (UTE) sequences to evaluate bone composition and structure. Both morphological and quantitative UTE MRI techniques are introduced. Their applications in osteoporosis are also briefly discussed. These UTE-MRI advancements hold great potential for improving the diagnosis and management of osteoporosis and other metabolic bone diseases by providing a more comprehensive assessment of bone quantity and quality.

Indexed as

Bone and BonesMagnetic Resonance ImagingOsteoporosisBone DensityHumanscontrast mechanismMRIosteoporosisquantitationUTE

Identifiers

PMID39980853
PMCPMC11839439

What OpenQuestion holds

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Registered trials

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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.