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Related Concept Videos

Ultrasonography01:17

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...
Fractures: Bone Repair01:27

Fractures: Bone Repair

Treatment for a fracture is based on the type of break, the bone affected, and the patient's age.
Minor fractures with no bone displacement are treated by immobilizing the fractured bone using a cast or splint. However, in the case of fractures with displaced bones, the broken bones are repositioned before immobilization to ensure successful healing without deformation and loss of function. The realignment of fractured bone ends is performed through a process called reduction. If the procedure...

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Related Experiment Video

Updated: Jun 24, 2026

Automated Joint Space Detection Improves Bone Segmentation Accuracy
06:45

Automated Joint Space Detection Improves Bone Segmentation Accuracy

Published on: November 28, 2025

Accuracy of Key Sonographic Markers for Juxta-Articular Fractures: A Prospective Study Using Explainable Machine

Xiaofang Fu1, Lirong Liu2, Hao Sun2,3

  • 1Department of Ultrasound Medicine, The Eighth People's Hospital of Shanghai, Shanghai, China.

Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|June 23, 2026
PubMed
Summary

A new sonographic triad model accurately diagnoses juxta-articular fractures using subperiosteal hematoma, arc-shaped fracture end, and effusion. This rapid, radiation-free ultrasound approach aids early fracture screening and triage.

Keywords:
diagnostic accuracyexplainable machine learningjuxta‐articular fracturepoint‐of‐care ultrasonography (POCUS)shapley additive explanations (SHAP)

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Published on: March 22, 2018

Area of Science:

  • Radiology
  • Orthopedics
  • Medical Imaging

Background:

  • Juxta-articular fractures require accurate and timely diagnosis.
  • Conventional imaging methods like CT involve radiation exposure.
  • Ultrasound offers a radiation-free alternative for fracture assessment.

Purpose of the Study:

  • To systematically evaluate sonographic features of long bone juxta-articular fractures.
  • To identify key diagnostic predictors using machine learning.
  • To develop and validate an ultrasound-based diagnostic model.

Main Methods:

  • Prospective diagnostic accuracy study with 121 patients.
  • Ten predefined sonographic features assessed, CT as reference standard.
  • Shapley additive explanations (SHAP) for feature selection.
  • Development of a sonographic triad model using top 3 predictors.
  • Agreement quantified using Cohen's κ, diagnostic performance metrics calculated.

Main Results:

  • Subcutaneous soft-tissue edema, cortical separation, and heterogeneous intra-articular effusion were prevalent.
  • Top SHAP-identified predictors: subperiosteal hematoma (43.8%), arc-shaped fracture end (28.3%), heterogeneous intra-articular effusion (26.6%).
  • The sonographic triad model showed near-perfect agreement with CT (κ=0.904).
  • Achieved high diagnostic performance: sensitivity 93.0%, specificity 97.2%, AUC 0.966.

Conclusions:

  • The sonographic triad model demonstrates high accuracy for juxta-articular fractures.
  • Strong concordance with CT confirms the model's reliability.
  • This radiation-free ultrasound approach facilitates early screening and triage.