Evidence map›Paper›PMID 42599180›Full record

ArticleJournal of Zhejiang University. Science. B2026

A novel drill-milling technology for robot-assisted implant osteotomy preparation: simulation and an ex vivovalidation study.

Chaofan Li, Kangjie Cheng, Chenhao Yu, Russell Wang, Fudong Zhu, Yunfeng Liu

Abstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2026. 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chaofan LiCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Kangjie ChengCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China. chengkangjie@zjut.edu.cn.
Chenhao YuCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Russell WangDepartment of Comprehensive Care, Case Western Reserve University School of Dental Medicine, Cleveland 44106-4905, USA.
Fudong ZhuStomatology Hospital, School of Medicine, Zhejiang University, Hangzhou 310006, China.
Yunfeng LiuCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China. chengkangjie@zjut.edu.cn, liuyf76@126.com.

Funding

the 111 Project D16004the National Natural Science Foundation of China 52175280 and 52305326the Zhejiang Provincial Natural Science Foundation of China LZ26E050008 and LQ23E050016
6 · The paper itself

Abstract

objectivesExcessive frictional heat generated at the drill-bone interface during implant osteotomy can compromise osseointegration and lead to implant failure. This study's objective was to use a helical milling technique for dental implant osteotomy preparation to mitigate thermal damage to the bone.

methodsThis study introduces a novel helical milling technique designed to minimize thermal damage to bone during dental implant osteotomy preparations. Finite element simulations were conducted to compare the thermal distribution and cutting stress of a conventional twist drill and the newly designed helical drill. The experimental validation was performed ex vivo on animal bone using a robot-assisted osteotomy system.

resultsThe finite element simulations revealed that the helical drill produced a maximum cutting stress of 128.9 MPa, higher than the 121.0 MPa generated by the twist drill, indicating improved cutting efficiency. The ex vivo study demonstrated that the helical milling technique maintained the drilling site temperature below 38.7 ℃, which was significantly lower than the clinically critical threshold of 47 ℃ and the 61 ℃ recorded with the twist drill. Furthermore, the helical milling process facilitated efficient bone chip removal, reducing thermal buildup.

conclusionsThese findings suggest that the helical milling tool and technique optimize robot-assisted osteotomy and effectively mitigate frictional heat generation at the drill-bone interface. This innovation holds promise for enhancing osseointegration success rates in dental implant procedures, offering a clinically viable solution to a long-standing challenge in implantology.

Indexed as

Dental ImplantsOsteotomyRoboticsRobotic Surgical ProceduresAnimalsFinite Element AnalysisHot TemperatureOsseointegrationDental ImplantsDrill-milling technologyFinite-element analysisImplant osteotomy preparationRobot-assisted drillingTemperature control

Identifiers

PMID42599180
PMCPMC13474195

What OpenQuestion holds

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Registered trials

None linked

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.