Evidence map›Paper›PMID 41295560›Full record

ArticleTomography (Ann Arbor, Mich.)2025

Photon-Counting Micro-CT for Bone Morphometry in Murine Models.

Rohan Nadkarni, Zay Yar Han, Alex J Allphin, Darin P Clark, Alexandra Badea, Cristian T Badea

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Rohan NadkarniQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
Zay Yar HanQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
Alex J AllphinQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
Darin P ClarkQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
Alexandra BadeaQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0000-0001-6621-4560
Cristian T BadeaQuantitative Imaging and Analysis Lab, Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0000-0002-1850-2522

Funding

Sex and APOE genotype interact to alter immune regulated metabolism in ADRF1AG057895 · NIA · DUKE UNIVERSITY · PI BADEA, ALEXANDRA, COLTON, CAROL ANNE · 2019 to 2019
$5.8M
Brain networks in mouse models of agingR01AG066184 · NIA · DUKE UNIVERSITY · PI BADEA, ALEXANDRA · 2019 to 2023
$3.8M
Development of a Virtual Preclinical CT Platform for Advanced Imaging and Theranostics in Head and Neck Cancer ResearchR01CA302738 · NCI · DUKE UNIVERSITY · PI BADEA, CRISTIAN T, LAFATA, KYLE · 2025 to 2025
$2.9M
Development of a New Generation Micro-CT imaging for Functional and Molecular Imaging of CancerR01CA196667 · NCI · DUKE UNIVERSITY · PI BADEA, CRISTIAN T · 2015 to 2019
$2.3M
Multiorgan Photon Counting CT and Machine Learning to Elucidate Aging Mechanisms and InterventionsR01AG070149 · NIA · DUKE UNIVERSITY · PI CRISTIAN T BADEA, Alexandra Badea · 2024 to 2026
$2.1M
Detecting Growth of Intracranial Aneurysms Using Non-Invasive Photon Counting CT in a Murine Model.R01HL179758 · NHLBI · DUKE UNIVERSITY · PI CRISTIAN T BADEA, David M Hasan · 2025 to 2026
$1.5M
NCI NIH HHS R01 CA196667NCI NIH HHS R01 CA302738NHLBI NIH HHS R01 HL179758NIA NIH HHS R01 AG066184NIA NIH HHS R01 AG070149NIA NIH HHS RF1 AG057895NIH HHS R01 AG066184NIH HHS R01 AG070149NIH HHS RF1 AG057895
6 · The paper itself

Abstract

BACKGROUND/

objectivesThis study evaluates photon-counting CT (PCCT) for the imaging of mouse femurs and investigates how APOE genotype, sex, and humanized nitric oxide synthase (HN) expression influence bone morphology during aging.

methodsA custom-built micro-CT system with a photon-counting detector (PCD) was used to acquire dual-energy scans of mouse femur samples. PCCT projections were corrected for tile gain differences, iteratively reconstructed with 20 µm isotropic resolution, and decomposed into calcium and water maps. PCD spatial resolution was benchmarked against an energy-integrating detector (EID) using line profiles through trabecular bone. The contrast-to-noise ratio quantified the effects of iterative reconstruction and material decomposition. Femur features such as mean cortical thickness, mean trabecular spacing (TbSp_mean), and trabecular bone volume fraction (BV/TV) were extracted from calcium maps using BoneJ. The statistical analysis used 57 aged mice representing the APOE22, APOE33, and APOE44 genotypes, including 27 expressing HN. We used generalized linear models (GLMs) to evaluate the main interaction effects of age, sex, genotype, and HN status on femur features and Mann-Whitney U tests for stratified analyses.

resultsPCCT outperformed EID-CT in spatial resolution and enabled the effective separation of calcium and water. Female HN mice exhibited reduced BV/TV compared to both male HN and female non-HN mice. While genotype effects were modest, a genotype-by-sex stratified analysis found significant effects of HN status in female APOE22 and APOE44 mice only. Linear regression showed that age significantly decreased cortical thickness and increased TbSp_mean in male mice only.

conclusionsThese results demonstrate PCCT's utility for femur analysis and reveal strong effects of sex/HN interaction on trabecular bone health in mice.

Indexed as

FemurX-Ray MicrotomographyAgingAnimalsApolipoproteins EBone DensityCancellous BoneFemaleGenotypeMaleMiceMice, Inbred C57BLModels, AnimalSex FactorsApolipoproteins Ebonemicephoton-counting CT

Identifiers

PMID41295560
PMCPMC12655917

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.