Evidence map›Paper›PMID 39243295›Full record

ArticleClinical oral investigations2024

Digital analysis of the human maxilla to enable semistandardized template tool reconstructions with free fibula transplants.

Christopher-Philipp Nobis, Clara Kübler, Manuel Olmos, Katja Schulz, Jacek Glajzer, Joy Backhaus, Ragai Matta, Marco R Kesting, Rainer Lutz

Abstract read
In one paragraph

Article in Clinical oral investigations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

9 authors.

Christopher-Philipp NobisDepartment of Oral and Cranio-Maxillofacial Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Glueckstrasse 11, 91054, Erlangen, Germany. christopher-philipp.nobis@uk-erlangen.de.
Clara KüblerDepartment of Oral and Cranio-Maxillofacial Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Glueckstrasse 11, 91054, Erlangen, Germany.
Manuel OlmosDepartment of Oral and Cranio-Maxillofacial Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Glueckstrasse 11, 91054, Erlangen, Germany.
Katja SchulzDepartment of Oral and Cranio-Maxillofacial Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Glueckstrasse 11, 91054, Erlangen, Germany.
Jacek GlajzerDepartment of Oral and Cranio-Maxillofacial Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Glueckstrasse 11, 91054, Erlangen, Germany.
Joy BackhausInstitute of Medical Teaching and Medical Education Research, University Hospital of Würzburg, Würzburg, Germany.
Ragai MattaDepartment of Prosthodontics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Marco R KestingDepartment of Oral and Cranio-Maxillofacial Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Glueckstrasse 11, 91054, Erlangen, Germany.
Rainer LutzDepartment of Oral and Cranio-Maxillofacial Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Glueckstrasse 11, 91054, Erlangen, Germany.

Funding

Deutsche Gesellschaft für Zahn-, Mund- und Kieferheilkunde (DGZMK) 35416021
6 · The paper itself

Abstract

objectivesThis study analyzed the human maxilla to support the development of mean-value-based cutting guide systems for maxillary reconstruction, bridging the gap between freehand techniques and virtual surgical planning (VSP). MATERIALS AND

methodsThis retrospective cohort study used routine CT scans. DICOM data enabled 3D modelling and the maxilla was divided into four regions: paranasal (R1), facial maxillary sinus wall (R2), zygomatic bone (R3) and alveolar process (R4). Surface comparisons were made with a reference skull. Statistical analyses assessed anatomical variations, focusing on mean distance (Dmean), area of valid distance (AVD), integrated distance (ID) and integrated absolute distance (IAD). The study addressed hemimaxillectomy defects for two-segmental reconstructions using seven defined bilateral points to determine segmental distances and angles.

resultsData from 50 patients showed R2 as the most homogeneous and R4 as the most heterogeneous region. Significant age and gender differences were found in R3 and R4, with younger patients and females having more outliers. Cluster analysis indicated that males had R1 and R3 positioned anterior to the reference skull. The mean angle for segmental reconstruction was 131.24° ± 1.29°, with anterior segment length of 30.71 ± 0.57 mm and posterior length of 28.15 ± 0.86 mm.

conclusionsAnatomical analysis supported the development of semistandardized segmental resection approaches. Although gender and anatomical differences were noted, they did not significantly impact the feasibility of mean-value-based cutting-guide systems. CLINICAL RELEVANCE: This study provides essential anatomical data for creating cost-effective and efficient reconstruction options for maxillary defects, potentially improving surgical outcomes and expanding reconstructive possibilities beyond current techniques.

Indexed as

Imaging, Three-DimensionalMaxillaPlastic Surgery ProceduresTomography, X-Ray ComputedAdultAgedBone TransplantationFemaleFibulaHumansMaleMiddle AgedPatient Care PlanningRetrospective StudiesDigital morphology analysisFibula osteotomyHead and neck anatomyMaxillary reconstructionMicrovascular fibula transplantReconstructive surgery

Identifiers

PMID39243295
PMCPMC11380639

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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.