Article in NMR in biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
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.
Jiyo S AthertyaDepartment of Radiology, University of California San Diego, San Diego, California, USA.ORCID 0000-0002-0866-1052
Arya SupranaDepartment of Radiology, University of California San Diego, San Diego, California, USA.
James LoDepartment of Radiology, University of California San Diego, San Diego, California, USA.
Alecio F LombardiDepartment of Radiology, University of California San Diego, San Diego, California, USA.ORCID 0000-0002-6820-1779
Dina MoazamianDepartment of Radiology, University of California San Diego, San Diego, California, USA.ORCID 0000-0002-8815-4535
Eric Y ChangDepartment of Radiology, University of California San Diego, San Diego, California, USA.
Jiang DuDepartment of Radiology, University of California San Diego, San Diego, California, USA.
Yajun MaDepartment of Radiology, University of California San Diego, San Diego, California, USA.
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
Three-Dimensional UTE Magnetic Resonance Imaging of the Osteochondral JunctionR21AR075851 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MA, YAJUN · 2020 to 2021
$376k
Comparison of direct and indirect magnetic resonance imaging of myelin in Alzheimer's diseaseF32AG082458 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ATHERTYA, JIYO S · 2023 to 2025
$256k
Quantitative Magnetic Resonance Imaging of Human Rotator Cuff TendonI01CX001388 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2016 to 2024
–
Ultrashort TE MR Imaging of Femorotibial CartilageI01CX000625 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHRISTINE B CHUNG · 2012 to 2026
–
CSRD VA I01 CX000625CSRD VA I01 CX001388GE HealthcareNIAMS NIH HHS P30 AR073761NIAMS NIH HHS R01 AR062581NIAMS NIH HHS R01 AR068987NIAMS NIH HHS R01 AR075825NIAMS NIH HHS R01 AR078877NIAMS NIH HHS R01 AR079484NIAMS NIH HHS R21 AR075851NIA NIH HHS F32 AG082458NIH HHS F32AG082458NIH HHS P30AR073761NIH HHS R01AR062581NIH HHS R01AR068987NIH HHS R01AR075825NIH HHS R01AR078877NIH HHS R01AR079484NIH HHS R21AR075851U.S. Department of Veterans AffairsVA Clinical Science Research & Development Service I01CX000625VA Clinical Science Research & Development Service I01CX001388
6 · The paper itself
Abstract
Compositional changes can occur in the osteochondral junction (OCJ) during the early stages and progressive disease evolution of knee osteoarthritis (OA). However, conventional magnetic resonance imaging (MRI) sequences are not able to image these regions efficiently because of the OCJ region's rapid signal decay. The development of new sequences able to image and quantify OCJ region is therefore highly desirable. We developed a comprehensive ultrashort echo time (UTE) MRI protocol for quantitative assessment of OCJ region in the knee joint, including UTE variable flip angle technique for T
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.
Quantitative ultrashort echo time MR imaging of knee osteochondral junction: An ex vivo feasibility study. · full record | OpenQuestion