Evidence map›Paper›PMID 40374784›Full record

Trial reportScientific reports2025

Development and validation of collaborative robot-assisted cutting method for iliac crest flap raising: Randomized crossover trial.

Paulina Becker, Yao Li, Sergey Drobinsky, Jan Egger, Kunpeng Xie, Ashkan Rashad, Klaus Radermacher, Rainer Röhrig, Matías de la Fuente, Frank Hölzle and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 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

11 authors.

Paulina BeckerDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
Yao LiDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
Sergey DrobinskyChair of Medical Engineering, RWTH Aachen University, 52074, Aachen, Germany.
Jan EggerInstitute for Artificial Intelligence in Medicine, University of Duisburg-Essen, 45131, Essen, Germany.
Kunpeng XieDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
Ashkan RashadDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
Klaus RadermacherChair of Medical Engineering, RWTH Aachen University, 52074, Aachen, Germany.
Rainer RöhrigInstitute of Medical Informatics, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
Matías de la FuenteChair of Medical Engineering, RWTH Aachen University, 52074, Aachen, Germany.
Frank HölzleDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
Behrus PuladiDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany. bpuladi@ukaachen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current gold standard of computer-assisted jaw reconstruction includes raising microvascular bone flaps with patient-specific 3D-printed cutting guides. The downsides of cutting guides are invasive fixation, periosteal denudation, preoperative lead time and missing intraoperative flexibility. This study aimed to investigate the feasibility and accuracy of a robot-assisted cutting method for raising iliac crest flaps compared to a conventional 3D-printed cutting guide. In a randomized crossover design, 40 participants raised flaps on pelvic models using conventional cutting guides and a robot-assisted cutting method. The accuracy was measured and compared regarding osteotomy angle deviation, Hausdorff Distance (HD) and Average Hausdorff Distance (AVD). Duration, workload and usability were further evaluated. The mean angular deviation for the robot-assisted cutting method was 1.9 ± 1.1° (mean ± sd) and for the 3D-printed cutting guide it was 4.7 ± 2.9° (p < 0.001). The HD resulted in a mean value of 1.5 ± 0.6 mm (robot) and 2.0 ± 0.9 mm (conventional) (p < 0.001). For the AVD, this was 0.8 ± 0.5 mm (robot) and 0.8 ± 0.4 mm (conventional) (p = 0.320). Collaborative robot-assisted cutting is an alternative to 3D-printed cutting guides in experimental static settings, achieving slot design benefits with less invasiveness and higher intraoperative flexibility. In the next step, the results should be tested in a dynamic environment with a moving phantom and on the cadaver.

Indexed as

IliumRobotic Surgical ProceduresSurgery, Computer-AssistedSurgical FlapsAdultCross-Over StudiesFemaleHumansMaleMiddle AgedOsteotomyPrinting, Three-DimensionalAugmented realityComputer-assisted surgeryCutting guideDCIA flapIliac crest flapSurgical robotics

Identifiers

PMID40374784
PMCPMC12081624

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Registered trials

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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.