Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Integrating microbial biomass, composition and function to discern the level of anthropogenic activity in a river ecosystem.

Environment international·2018
Same author

c-Jun-mediated microRNA-302d-3p induces RPE dedifferentiation by targeting p21<sup>Waf1/Cip1</sup>.

Cell death & disease·2018
Same author

High expression of synthesis of cytochrome c oxidase 2 and TP53-induced glycolysis and apoptosis regulator can predict poor prognosis in human lung adenocarcinoma.

Human pathology·2018
Same author

Comparison of the efficacy of dispensing granules with traditional decoction: a systematic review and meta-analysis.

Annals of translational medicine·2018
Same author

Serum Wisteria floribunda agglutinin-positive Mac-2-binding protein evaluates liver function and predicts prognosis in liver cirrhosis.

Journal of digestive diseases·2018
Same author

Acupuncture for constipation in patients with stroke: protocol of a systematic review and meta-analysis.

BMJ open·2018

Related Experiment Video

Updated: Jan 10, 2026

Method and Instrumented Fixture for Femoral Fracture Testing in a Sideways Fall-on-the-Hip Position
06:58

Method and Instrumented Fixture for Femoral Fracture Testing in a Sideways Fall-on-the-Hip Position

Published on: August 17, 2017

10.3K

An Advanced Two-Stage Model with High Sensitivity and Generalizability for Prediction of Hip Fracture Risk Using

Shuo Sun1, Meiling Zhou2, Chen Zhao3

  • 1Department of Mathematical Sciences, Michigan Technological University, Houghton, MI, USA.

Arxiv
|November 24, 2025
PubMed
Summary
This summary is machine-generated.

A new two-stage model improves hip fracture risk prediction in older adults. It combines clinical data and imaging, outperforming traditional methods like DXA T-score and FRAX for earlier, more accurate detection and prevention.

Keywords:
External TestHigh SensitivityHip FractureInternal TestRisk PredictionTwo-stage Model

More Related Videos

Imaging of the Microstructural Failure Mechanism in the Human Hip
08:43

Imaging of the Microstructural Failure Mechanism in the Human Hip

Published on: September 29, 2023

1.3K
Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

1.5K

Related Experiment Videos

Last Updated: Jan 10, 2026

Method and Instrumented Fixture for Femoral Fracture Testing in a Sideways Fall-on-the-Hip Position
06:58

Method and Instrumented Fixture for Femoral Fracture Testing in a Sideways Fall-on-the-Hip Position

Published on: August 17, 2017

10.3K
Imaging of the Microstructural Failure Mechanism in the Human Hip
08:43

Imaging of the Microstructural Failure Mechanism in the Human Hip

Published on: September 29, 2023

1.3K
Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

1.5K

Area of Science:

  • Gerontology
  • Orthopedics
  • Medical Imaging

Background:

  • Hip fractures are a significant cause of disability and mortality in older adults.
  • Current risk assessment tools (DXA T-score, FRAX) have limitations in sensitivity, often missing high-risk individuals.
  • There is a critical need for improved predictive models incorporating clinical and imaging data for early hip fracture detection.

Purpose of the Study:

  • To develop and validate a novel sequential two-stage model for predicting hip fracture risk.
  • To enhance early detection of individuals at high risk for hip fractures.
  • To improve upon the sensitivity of existing fracture risk assessment tools.

Main Methods:

  • A sequential two-stage model was developed using data from the MrOS, SOF, and UK Biobank studies.
  • Stage 1 (Screening Stage) utilized clinical, demographic, lifestyle, cognitive, and functional factors.
  • Stage 2 (Imaging Stage) incorporated imaging features from Dual-energy X-ray Absorptiometry (DXA) scans to refine predictions.
  • Rigorous internal and external validation, including independent testing in the UK Biobank, was performed.

Main Results:

  • The sequential model demonstrated improved sensitivity for hip fracture risk prediction compared to T-score and FRAX.
  • The model showed adaptability across diverse populations through external validation.
  • The stepwise approach effectively identified individuals at high risk for subsequent hip fracture.

Conclusions:

  • The novel sequential two-stage model offers a more sensitive and accurate approach to hip fracture risk assessment in older adults.
  • This model facilitates earlier detection, potentially reducing missed cases and healthcare burden.
  • The strategy of reserving advanced imaging for high-risk individuals identified in initial screening presents a cost-effective approach to personalized fracture risk assessment.