Evidence map›Paper›PMID 41673845›Full record

ArticleBMC oral health2026

A novel dual-stage robotic-assisted surgical workflow for precision contouring of craniomaxillofacial fibrous dysplasia.

Shunyao Shen, Jiahao Bao, Jun Shi, Xiang Lv, Hongbo Yu, Steve G F Shen

Abstract read
In one paragraph

Article in BMC oral health, 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

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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

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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.

Shunyao Shen *Department of Oral & Cranio-maxillofacial Surgery, Shanghai Ninth People's Hospital, College of Stomatology, School of Medicine, National Center for Stomatology, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University, National Clinical Research Center for Oral Diseases, Shanghai Research Institute of Stomatology, Shanghai, China.
Jiahao Bao *Department of Oral & Cranio-maxillofacial Surgery, Shanghai Ninth People's Hospital, College of Stomatology, School of Medicine, National Center for Stomatology, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University, National Clinical Research Center for Oral Diseases, Shanghai Research Institute of Stomatology, Shanghai, China.
Jun ShiDepartment of Oral & Cranio-maxillofacial Surgery, Shanghai Ninth People's Hospital, College of Stomatology, School of Medicine, National Center for Stomatology, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University, National Clinical Research Center for Oral Diseases, Shanghai Research Institute of Stomatology, Shanghai, China.
Xiang LvDepartment of Anesthesiology and Critical Care Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. mzklvxiang@163.com.
Hongbo YuDepartment of Oral & Cranio-maxillofacial Surgery, Shanghai Ninth People's Hospital, College of Stomatology, School of Medicine, National Center for Stomatology, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University, National Clinical Research Center for Oral Diseases, Shanghai Research Institute of Stomatology, Shanghai, China. yhb3508@163.com.
Steve G F ShenDepartment of Oral & Cranio-maxillofacial Surgery, Shanghai Ninth People's Hospital, College of Stomatology, School of Medicine, National Center for Stomatology, Shanghai Key Laboratory of Stomatology, Shanghai Jiao Tong University, National Clinical Research Center for Oral Diseases, Shanghai Research Institute of Stomatology, Shanghai, China. maxillofacsurg@163.com.

Funding

Multicenter clinical research project of Shanghai Jiao Tong University School of Medicine DLY201808National Natural Science Foundation of China 81571022Shanghai Science and Technology Innovation Action Plan 23S31904400
6 · The paper itself

Abstract

backgroundCraniomaxillofacial fibrous dysplasia (FD) causes progressive facial asymmetry and deformity, while conventional contouring surgery remains limited by poor visibility and proximity to critical structures. This study proposes a novel dual-stage robotic-assisted workflow for precise and safe contouring of craniomaxillofacial FD.

methodsThe workflow comprised two stages: (1) robotic localization and depth-controlled drilling using a dentition-supported optical registration system for titanium screw placement, and (2) automated high-speed robotic contouring following the surgical plan. Postoperative accuracy was evaluated by comparing CT-based 3D models with planned models using root mean square deviation (RMSD) analysis.

resultsFive patients with craniomaxillofacial FD underwent robot-assisted contouring guided by virtual surgical planning. The lesions were located on the right side in two patients and on the left side in three patients. All surgeries were completed successfully according to the virtual plans, with no intraoperative or postoperative complications. Quantitative evaluation revealed a mean RMSD of 1.77 ± 0.58 mm (1.22–2.77 mm), indicating high consistency between planned and actual outcomes. The orbital rim and maxillary surfaces demonstrated the smallest deviations, confirming the accuracy of the robotic-guided resection. All patients exhibited notable improvement in facial symmetry and contour smoothness, and infraorbital nerve sensation recovered completely within 3 months.

conclusionThis study presents the first dual-stage robotic-assisted workflow for contouring craniomaxillofacial FD, integrating virtual planning, optical registration, and precision robotic trimming. The system achieved sub-2 mm accuracy and excellent aesthetic outcomes without complications, effectively overcoming the limitations of conventional techniques and representing a significant step toward automated, safe, and precise craniofacial contour surgery.

Indexed as

Craniofacial Fibrous DysplasiaRobotic Surgical ProceduresAdultFemaleHumansImaging, Three-DimensionalMaleSurgery, Computer-AssistedTomography, X-Ray ComputedWorkflow3D-PrintingCraniomaxillofacial surgeryFibrous dysplasiaRobotic assisted surgeryVirtual surgical plan

Identifiers

PMID41673845
PMCPMC13179638

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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.