Evidence map›Paper›PMID 40397231›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

A cooperatively controlled robotic system with active constraints for enhancing efficacy in bilateral sagittal split osteotomy.

Jesse Haworth, Manish Sahu, Katherine Zhu, Jacob Hammond, Hisashi Ishida, Adnan Munawar, Robin Yang, Russell Taylor

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

8 authors.

Jesse HaworthDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, USA. jhawort2@jh.edu.
Manish SahuLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, USA.
Katherine ZhuDepartment of Plastic and Reconstructive Surgery, Johns Hopkins Medicine, Baltimore, USA.
Jacob HammondDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, USA.
Hisashi IshidaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, USA.
Adnan MunawarLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, USA.
Robin YangDepartment of Plastic and Reconstructive Surgery, Johns Hopkins Medicine, Baltimore, USA.
Russell TaylorLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, USA.

Funding

Johns Hopkins Children's Center Innovation GrantNational Science Foundation Graduate Research Fellowship Program 2023354859
6 · The paper itself

Abstract

purposePrecise osteotomies are vital in maxillofacial procedures such as the bilateral sagittal split osteotomy (BSSO) where surgical accuracy and precision directly impacts patient outcomes. Conventional freehand drilling can lead to unfavorable splits, negatively impacting surgical outcome.

methodsThis paper presents the development work of a cooperatively controlled robot system designed to enhance the efficacy of osteotomies during BSSO. The system features two assistive modes for the execution of a patient-specific surgical plan: (1) a Haptic guidance mode that helps the surgeon align the surgical drill with the planned cutting plane to improve surgical accuracy of the cut and (2) an Active constraint mode that restricts deviations from the cutting plane to enhance surgical precision during drilling. We validated the system through feasibility experiments involving 36 mandible phantoms and a cadaveric specimen, with a surgeon, a surgical resident, and a medical student performing osteotomies freehand and with robotic assistance. Additionally, NASA TLX surveys were conducted to assess the perceived ease of use of the robotic system.

resultsCompared to freehand methods, the robotic system improved the efficacy of the cut from

conclusionOur experimental results demonstrate that the proposed robotic system can enhance the precision of surgical drilling in the BSSO compared to a freehand approach. These findings indicate the potential of robotic systems to reduce errors and enhance patient outcomes in maxillofacial surgery.

Indexed as

Osteotomy, Sagittal Split RamusRobotic Surgical ProceduresSurgery, Computer-AssistedCadaverEquipment DesignFeasibility StudiesHumansMandiblePhantoms, ImagingActive constraintCooperative controlHaptic guidanceOsteotomySurgical robotics

Identifiers

PMID40397231

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.