Evidence map›Paper›PMID 33805736›Full record

ArticleJournal of personalized medicine2021

Three-Dimensional Evaluation of Soft Tissue Malar Modifications after Zygomatic Valgization Osteotomy via Geometrical Descriptors.

Elena Carlotta Olivetti, Federica Marcolin, Sandro Moos, Alberto Ferrando, Enrico Vezzetti, Umberto Autorino, Claudia Borbon, Emanuele Zavattero, Giovanni Gerbino, Guglielmo Ramieri

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. 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. Article
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

10 authors.

Elena Carlotta OlivettiDepartment of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
Federica MarcolinDepartment of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
Sandro MoosDepartment of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
Alberto FerrandoDepartment of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
Enrico VezzettiDepartment of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
Umberto AutorinoDepartment of Surgical Sciences, Division of Maxillofacial Surgery, University of Turin, Città della Salute e della Scienza HOSPITAL, 10129 Turin, Italy.
Claudia BorbonDepartment of Surgical Sciences, Division of Maxillofacial Surgery, University of Turin, Città della Salute e della Scienza HOSPITAL, 10129 Turin, Italy.
Emanuele ZavatteroDepartment of Surgical Sciences, Division of Maxillofacial Surgery, University of Turin, Città della Salute e della Scienza HOSPITAL, 10129 Turin, Italy.
Giovanni GerbinoDepartment of Surgical Sciences, Division of Maxillofacial Surgery, University of Turin, Città della Salute e della Scienza HOSPITAL, 10129 Turin, Italy.ORCID 0000-0002-7251-4209
Guglielmo RamieriDepartment of Surgical Sciences, Division of Maxillofacial Surgery, University of Turin, Città della Salute e della Scienza HOSPITAL, 10129 Turin, Italy.ORCID 0000-0002-3131-9669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with severe facial deformities present serious dysfunctionalities along with an unsatisfactory aesthetic facial appearance. Several methods have been proposed to specifically plan the interventions on the patient's needs, but none of these seem to achieve a sufficient level of accuracy in predicting the resulting facial appearance. In this context, a deep knowledge of what occurs in the face after bony movements in specific surgeries would give the possibility to develop more reliable systems. This study aims to propose a novel 3D approach for the evaluation of soft tissue zygomatic modifications after zygomatic osteotomy; geometrical descriptors usually involved in face analysis tasks, i.e., face recognition and facial expression recognition, are here applied to soft tissue malar region to detect changes in surface shape. As ground truth for zygomatic changes, a zygomatic openness angular measure is adopted. The results show a high sensibility of geometrical descriptors in detecting shape modification of the facial surface, outperforming the results obtained from the angular evaluation.

Indexed as

3D face analysisgeometrical descriptorsmalar augmentationorthognathic surgerysoft tissue predictionzygomatic osteotomy

Identifiers

PMID33805736
PMCPMC7998522

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.