Evidence map›Paper›PMID 38330971›Full record

ReviewSeminars in musculoskeletal radiology2024

Bone Biomarkers Based on Magnetic Resonance Imaging.

Saeed Jerban, Hyungseok Jang, Eric Y Chang, Susan Bukata, Jiang Du, Christine B Chung

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Seminars in musculoskeletal radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. A CombinedAnnals of biomedical engineering · 2026
    Article
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

Saeed JerbanDepartment of Radiology, University of California, San Diego, La Jolla, California.ORCID 0000-0001-6450-2892
Hyungseok JangDepartment of Radiology, University of California, San Diego, La Jolla, California.
Eric Y ChangDepartment of Radiology, University of California, San Diego, La Jolla, California.
Susan BukataDepartment of Orthopaedic Surgery, University of California, San Diego, La Jolla, California.
Jiang DuDepartment of Radiology, University of California, San Diego, La Jolla, California.
Christine B ChungDepartment of Radiology, University of California, San Diego, La Jolla, California.
University of California San Diego · US

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
Resource-based Center for the study of the joint microenvironment in rheumatology (Overall Application)P30AR073761 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHUNG, CHRISTINE B · 2018 to 2022
$3.9M
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
Ultrashort Echo Time Magnetic Resonance Imaging of Hemophilic ArthropathyR01AR078877 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JANG, HYUNGSEOK · 2021 to 2025
$2.4M
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 BX005952CSRD VA I01 CX000625CSRD VA I01 CX001388NIAMS NIH HHS K01 AR080257NIAMS NIH HHS P30 AR073761NIAMS NIH HHS R01 AR062581NIAMS NIH HHS R01 AR068987NIAMS NIH HHS R01 AR075825NIAMS NIH HHS R01 AR078877NIAMS NIH HHS R01 AR079484NIH HHS 5P30AR073761NIH HHS K01AR080257NIH HHS R01AR062581NIH HHS R01AR068987NIH HHS R01AR075825NIH HHS R01AR078877NIH HHS R01AR079484
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is increasingly used to evaluate the microstructural and compositional properties of bone. MRI-based biomarkers can characterize all major compartments of bone: organic, water, fat, and mineral components. However, with a short apparent spin-spin relaxation time (T2*), bone is invisible to conventional MRI sequences that use long echo times. To address this shortcoming, ultrashort echo time MRI sequences have been developed to provide direct imaging of bone and establish a set of MRI-based biomarkers sensitive to the structural and compositional changes of bone. This review article describes the MRI-based bone biomarkers representing total water, pore water, bound water, fat fraction, macromolecular fraction in the organic matrix, and surrogates for mineral density. MRI-based morphological bone imaging techniques are also briefly described.

Indexed as

Bone and BonesMagnetic Resonance ImagingHumansMineralsWaterMineralsWater

Identifiers

PMID38330971
PMCPMC11786623
OpenAlexW4391659416

What OpenQuestion holds

Textmetadata
LicenceTDM
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.