Evidence map›Paper›PMID 26956416›Full record

ArticleTissue engineering. Part C, Methods2016

Guidelines for Dual Energy X-Ray Absorptiometry Analysis of Trabecular Bone-Rich Regions in Mice: Improved Precision, Accuracy, and Sensitivity for Assessing Longitudinal Bone Changes.

Jiayu Shi, Soonchul Lee, Michael Uyeda, Justine Tanjaya, Jong Kil Kim, Hsin Chuan Pan, Patricia Reese, Louis Stodieck, Andy Lin, Kang Ting and 2 more

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

Article in Tissue engineering. Part C, Methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Jiayu Shi1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California.
Soonchul Lee2 Department of Orthopedic Surgery, CHA Bundang Medical Center, CHA University , School of Medicine, Gyeonggi-do, Republic of Korea.
Michael Uyeda3 Department of Orthopedic Surgery and the Orthopedic Hospital Research Center, University of California , Los Angeles, Los Angeles, California.
Justine Tanjaya1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California.
Jong Kil Kim1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California.
Hsin Chuan Pan1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California.
Patricia Reese1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California.
Louis Stodieck5 Aerospace Engineering Sciences, University of Colorado , Boulder, Colorado.
Andy Lin6 Institute for Digital Research and Education Statistical Consulting Group, University of California , Los Angeles, Los Angeles, California.
Kang Ting1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California.
Jin Hee Kwak1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California.
Chia Soo3 Department of Orthopedic Surgery and the Orthopedic Hospital Research Center, University of California , Los Angeles, Los Angeles, California.
University of California, Los Angeles · USOrthopaedic Hospital · USStatistical Research (United States) · USUniversity of Colorado Boulder · US

Funding

NELL-1 Systemic Therapy for OsteoporosisR01AR066782 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EASLEY, JEREMIAH, TING, KANG · 2014 to 2018
$2.0M
Wnt and PPARy Signaling in Nell-1 and BMP2 Mediated Bone RegenerationR01AR061399 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOO, CHIA · 2012 to 2016
$1.7M
NIAMS NIH HHS R01 AR061399NIAMS NIH HHS R01 AR066782
6 · The paper itself

Abstract

Trabecular bone is frequently studied in osteoporosis research because changes in trabecular bone are the most common cause of osteoporotic fractures. Dual energy X-ray absorptiometry (DXA) analysis specific to trabecular bone-rich regions is crucial to longitudinal osteoporosis research. The purpose of this study is to define a novel method for accurately analyzing trabecular bone-rich regions in mice via DXA. This method will be utilized to analyze scans obtained from the International Space Station in an upcoming study of microgravity-induced bone loss. Thirty 12-week-old BALB/c mice were studied. The novel method was developed by preanalyzing trabecular bone-rich sites in the distal femur, proximal tibia, and lumbar vertebrae via high-resolution X-ray imaging followed by DXA and micro-computed tomography (micro-CT) analyses. The key DXA steps described by the novel method were (1) proper mouse positioning, (2) region of interest (ROI) sizing, and (3) ROI positioning. The precision of the new method was assessed by reliability tests and a 14-week longitudinal study. The bone mineral content (BMC) data from DXA was then compared to the BMC data from micro-CT to assess accuracy. Bone mineral density (BMD) intra-class correlation coefficients of the new method ranging from 0.743 to 0.945 and Levene's test showing that there was significantly lower variances of data generated by new method both verified its consistency. By new method, a Bland-Altman plot displayed good agreement between DXA BMC and micro-CT BMC for all sites and they were strongly correlated at the distal femur and proximal tibia (r=0.846, p<0.01; r=0.879, p<0.01, respectively). The results suggest that the novel method for site-specific analysis of trabecular bone-rich regions in mice via DXA yields more precise, accurate, and repeatable BMD measurements than the conventional method.

Indexed as

Absorptiometry, PhotonAnimalsBone DensityCancellous BoneFemaleLongitudinal StudiesMiceMice, Inbred BALB COsteoporosisX-Ray Microtomography

Identifiers

PMID26956416
PMCPMC4870654
OpenAlexW2297685626

What OpenQuestion holds

Textmetadata
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.