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Related Concept Videos

Assessing Body Temperature - Temporal Artery01:19

Assessing Body Temperature - Temporal Artery

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Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
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Related Experiment Video

Updated: Nov 21, 2025

Assessment of Thermal Damage from Robot-Drilled Craniotomy for Cranial Window Surgery in Mice
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A predictive model for cortical bone temperature distribution during drilling.

Yahui Hu1, Hao Ding1, Yutao Shi1

  • 1Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology), Tianjin, 300384, China.

Physical and Engineering Sciences in Medicine
|January 18, 2021
PubMed
Summary

This study presents a predictive model for bone drilling temperature distribution, crucial for preventing thermal damage in orthopedic surgery. The model accurately predicts temperatures at various depths and distances, aiding surgical safety.

Keywords:
Cortical boneDrilling temperature distributionHeat source methodPredictive model

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Area of Science:

  • Orthopedic Surgery
  • Biomedical Engineering
  • Heat Transfer

Background:

  • Bone drilling generates heat, potentially causing thermal damage to bone tissue.
  • Accurate temperature distribution prediction is vital for safe orthopedic procedures.

Purpose of the Study:

  • To establish a predictive model for cortical bone drilling temperature distribution.
  • To verify the model's accuracy using experimental data.

Main Methods:

  • Heat transfer theory was applied to develop the predictive model.
  • Conjugate gradient inversion was used to derive the energy distribution coefficient.
  • A dedicated experimental platform was constructed for validation.

Main Results:

  • The predictive model accurately estimated drilling temperature distribution.
  • Predictions were validated across different depths and radial distances.
  • The influence of drilling parameters (spindle speed, feed rate, drill diameter) was analyzed.

Conclusions:

  • The developed model offers reliable prediction of bone drilling temperatures.
  • This capability enhances the safety and precision of orthopedic surgeries.
  • Understanding temperature dynamics is key to minimizing iatrogenic bone injury.