Evidence map›Paper›PMID 37207990›Full record

ArticleBone2023

Assessing cortical bone porosity with MRI in an animal model of chronic kidney disease.

Christopher L Newman, Rachel K Surowiec, Elizabeth A Swallow, Corinne E Metzger, Jieun Kim, Andrew A Tomaschke, Neal X Chen, Matthew R Allen, Joseph M Wallace, Sharon M Moe and 2 more

Open access · greenAbstract read
In one paragraph

Article in Bone, 2023. 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
1.0field-weighted citation impact, top 25% 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, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  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

12 authors at 4 institutions in 1 country.

Christopher L NewmanDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States of America. Electronic address: chrnewma@iu.edu.
Rachel K SurowiecDepartment of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America.
Elizabeth A SwallowThe University of the South, Sewanee, TN, United States of America.
Corinne E MetzgerWu Tsai Neurosciences Institute, Stanford University, Stanford, CA, United States of America.
Jieun KimWu Tsai Neurosciences Institute, Stanford University, Stanford, CA, United States of America.
Andrew A TomaschkeDepartment of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America.
Neal X ChenDivision of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States of America.
Matthew R AllenDepartment of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America; Department of Anatomy, Cell Biology, and Physiology, Indiana University School of Medicine, Indianapolis, IN, United States of America; Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States of America.
Joseph M WallaceDepartment of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America.
Sharon M MoeDivision of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States of America.
Yu-Chien WuDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States of America.
Paul J NiziolekDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States of America.
Indiana University – Purdue University Indianapolis · USStanford University · USIndiana University School of MedicineSewanee: The University of the South · US

Funding

Treating bone deterioration associated with chronic kidney diseaseI01BX003025 · VA · RLR VA MEDICAL CENTER · PI ALLEN, MATTHEW R · 2016 to 2024
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BLRD Research Career Scientist Award ApplicationIK6BX006479 · VA · RLR VA MEDICAL CENTER · PI ALLEN, MATTHEW R · 2024 to 2025
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BLRD VA I01 BX003025BLRD VA IK6 BX006479NIDDK NIH HHS L30 DK130133
6 · The paper itself

Abstract

Chronic kidney disease (CKD) is characterized by secondary hyperparathyroidism and an increased risk of hip fractures predominantly related to cortical porosity. Unfortunately, bone mineral density measurements and high-resolution peripheral computed tomography (HR-pQCT) imaging have shortcomings that limit their utility in these patients. Ultrashort echo time magnetic resonance imaging (UTE-MRI) has the potential to overcome these limitations by providing an alternative assessment of cortical porosity. The goal of the current study was to determine if UTE-MRI could detect changes in porosity in an established rat model of CKD. Cy/+ rats (n = 11), an established animal model of CKD-MBD, and their normal littermates (n = 12) were imaged using microcomputed tomography (microCT) and UTE-MRI at 30 and 35 weeks of age (which approximates late-stage kidney disease in humans). Images were obtained at the distal tibia and the proximal femur. Cortical porosity was assessed using the percent porosity (Pore%) calculated from microCT imaging and the porosity index (PI) calculated from UTE-MRI. Correlations between Pore% and PI were also calculated. Cy/+ rats had higher Pore% than normal rats at both skeletal sites at 35 weeks (tibia = 7.13 % +/- 5.59 % vs. 0.51 % +/- 0.09 %, femur = 19.99 % +/- 7.72 % vs. 2.72 % +/- 0.32 %). They also had greater PI at the distal tibia at 30 weeks of age (0.47 +/- 0.06 vs. 0.40 +/- 0.08). However, Pore% and PI were only correlated in the proximal femur at 35 weeks of age (ρ = 0.929, Spearman). These microCT results are consistent with prior studies in this animal model utilizing microCT imaging. The UTE-MRI results were inconsistent, resulting in variable correlations with microCT imaging, which may be related to suboptimal bound and pore water discrimination at higher magnetic field strengths. Nevertheless, UTE-MRI may still provide an additional clinical tool to assess fracture risk without using ionizing radiation in CKD patients.

Indexed as

Hip FracturesRenal Insufficiency, ChronicAnimalsBone DensityCortical BoneHumansMagnetic Resonance ImagingModels, AnimalPorosityRatsX-Ray MicrotomographyChronic kidney diseasemicroCTMRIPorosity indexUTE

Identifiers

PMID37207990
PMCPMC11167728
OpenAlexW4377030225

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.