Evidence map›Paper›PMID 38800589›Full record

ArticleJournal of orthopaedics2024

On the importance of precision in cortical bone drilling: Integrating experimental validation and computational modeling.

Mohammadjavad Matin Einafshar, Mohadese Rajaeirad, Ahmad Babazadeh Ghazijahani, Michael Skipper Andersen

Abstract read
In one paragraph

Article in Journal of orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Mohammadjavad Matin EinafsharDepartment of Material and Production, Aalborg University, Aalborg, Denmark.
Mohadese RajaeiradDepartment of Biomedical Engineering, University of Isfahan, Isfahan, Iran.
Ahmad Babazadeh GhazijahaniDepartment of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
Michael Skipper AndersenDepartment of Material and Production, Aalborg University, Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cortical bone drilling is integral to orthopedic and dental surgeries, yet challenges such as thermal necrosis persist. Previous finite element (FE) models may overlook critical parameters, impacting accuracy. This study aims to integrate experimental and computational approaches to predict essential parameters-initial temperature, point angle, and spindle speed-enhancing precision in cortical bone drilling. Methods: Bovine cortical samples were utilized to systematically investigate the impact of four independent parameters on maximum temperature (MT) and maximum thrust force (MTF). Parameters included drill bit initial temperature (IT), diameter, point angle, and spindle speed (225-2700 rpm, feed rate 0.5-3 mm/s). Experimental procedures involved an orthopedic handpiece with titanium drill bits. DEFORM-3D V6.02 facilitated FE simulation, with the validated model developed for the second stage of the drilling process. Results: The validated model highlighted the significant impact of drill bit IT on MT, predicting a 26.14 % decrease in final bone temperature as IT decreased from 25 to 5 °C. Increasing the point angle from 70 to 120° resulted in a 13.1 % MT increase and a 26.9 % decrease in MTF. Spindle speed variations exhibited a 48.3 % temperature increase and an 82.8 % MTF decrease. Conclusions: Integrating experimental validation and computational modeling offers a comprehensive approach to predict drilling parameters. Precision in cortical bone drilling can be optimized by selecting specific parameters, including lower drill bit IT, smaller point angles, and controlled spindle speeds. This optimization reduces the risk of bone necrosis and thermal damage, thereby enhancing surgical outcomes.

Indexed as

Controlled bone drillingCortical bone drilling kinematicsDrill bit designExcessive heatFinite element prediction

Identifiers

PMID38800589
PMCPMC11127272

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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.