A 7T MRI Study of Fibular Bone Thickness and Density: Impact of Age, Sex and Body Weight, and Correlation with Bone Marrow Expansion and Muscle Fat Infiltration

<b>Background:</b> Reduced bone mass and density, hallmark features of osteopenia and osteoporosis, significantly increase the risk of fractures, falls, and loss of mobility, especially in post-menopausal women and the elderly. <b>Methods:</b> This quantitative 7T MRI study examines the features of fibular bone thinning and bone mineral density loss (BMD) in 107 individuals (43F/64M) across various ages, body mass indices (BMIs), and ethnicities. <b>Results:</b> Women had significantly lower cross-sectional bone wall thickness (BT) and bone tissue area (BA), along with greater BMD loss compared to men in those over age 50 (<i>n</i> = 77), but not in the younger group (<i>n</i> = 30). The bone g-factor, defined as the ratio of inner-to-outer bone diameters, increased with bone thinning, bone marrow expansion (BME), and muscle fat infiltration (MFI) but was independent of subcutaneous fat thickness (SFT). Bone thinning and BMD loss both tend to increase with BME and MFI. Additionally, bone density decrease correlated with bone mass loss, with a stronger association observed with BT than BA. <b>Conclusions:</b> These findings offer insights into the effects of aging and sex on skeletomuscular health, with implications for strategies to mitigate bone loss in osteoporosis and osteosarcopenia.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2025-02-26
DOI
https://doi.org/10.3390/diagnostics15050564
Citations
1
Primary Topic
Bone and Joint Diseases
Type
article
Field-Weighted Citation Impact
1.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 7T MRI Study of Fibular Bone Thickness and Density: Impact of Age, Sex and Body Weight, and Correlation with Bone Marrow Expansion and Muscle Fat Infiltration

A Henning, Jimin Ren, Jianzhong Su, Talon Johnson
1 citations
Diagnostics
Bone and Joint Diseases
1.72
article

A 7T MRI Study of Fibular Bone Thickness and Density: Impact of Age, Sex and Body Weight, and Correlation with Bone Marrow Expansion and Muscle Fat Infiltration

A Henning, Jimin Ren, Jianzhong Su, Talon Johnson
article en
1 citations

Abstract

<b>Background:</b> Reduced bone mass and density, hallmark features of osteopenia and osteoporosis, significantly increase the risk of fractures, falls, and loss of mobility, especially in post-menopausal women and the elderly. <b>Methods:</b> This quantitative 7T MRI study examines the features of fibular bone thinning and bone mineral density loss (BMD) in 107 individuals (43F/64M) across various ages, body mass indices (BMIs), and ethnicities. <b>Results:</b> Women had significantly lower cross-sectional bone wall thickness (BT) and bone tissue area (BA), along with greater BMD loss compared to men in those over age 50 (<i>n</i> = 77), but not in the younger group (<i>n</i> = 30). The bone g-factor, defined as the ratio of inner-to-outer bone diameters, increased with bone thinning, bone marrow expansion (BME), and muscle fat infiltration (MFI) but was independent of subcutaneous fat thickness (SFT). Bone thinning and BMD loss both tend to increase with BME and MFI. Additionally, bone density decrease correlated with bone mass loss, with a stronger association observed with BT than BA. <b>Conclusions:</b> These findings offer insights into the effects of aging and sex on skeletomuscular health, with implications for strategies to mitigate bone loss in osteoporosis and osteosarcopenia.

DiagnosticsVol. 15(5)
The University of Texas at Arlington (US), Southwestern Medical Center (US), Advanced Imaging Research (United States) (US), The University of Texas Southwestern Medical Center (US)
National Science Foundation
Openalex Percentile: Top 22%
Bone and Joint Diseases
1.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.