Evidence map›Paper›PMID 35687196›Full record

ReviewClinical oral investigations2022

Precision medicine using patient-specific modelling: state of the art and perspectives in dental practice.

Pierre Lahoud, Reinhilde Jacobs, Philippe Boisse, Mostafa EzEldeen, Maxime Ducret, Raphael Richert

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical oral investigations, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Management strategies for pulpitis in vital permanent teeth in children and adolescents: a systematic review and meta-analysis of randomized clinical trials.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Three-dimensional morphological evaluation of anatomical models for 101 primary maxillary central incisors.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Article
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  11. Article
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  14. Real-time simulation of the transplanted tooth using model order reduction.Frontiers in bioengineering and biotechnology · 2023
    Article
  15. Review
  16. 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

6 authors.

Pierre LahoudOMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU, Leuven, Belgium.
Reinhilde JacobsOMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU, Leuven, Belgium.
Philippe BoisseLaboratoire de Mécanique Des Contacts Et Structures, UMR 5259, CNRS/INSA, Villeurbanne, France.
Mostafa EzEldeenOMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU, Leuven, Belgium.
Maxime DucretHospices Civils de Lyon, PAM d'Odontologie, Lyon, France.
Raphael RichertLaboratoire de Mécanique Des Contacts Et Structures, UMR 5259, CNRS/INSA, Villeurbanne, France. raphael.richert@insa-lyon.fr.ORCID http://orcid.org/0000-0002-9298-1293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dental practice has largely evolved in the last 50 years following a better understanding of the biomechanical behaviour of teeth and its supporting structures, as well as developments in the fields of imaging and biomaterials. However, many patients still encounter treatment failures; this is related to the complex nature of evaluating the biomechanical aspects of each clinical situation due to the numerous patient-specific parameters, such as occlusion and root anatomy. In parallel, the advent of cone beam computed tomography enabled researchers in the field of odontology as well as clinicians to gather and model patient data with sufficient accuracy using image processing and finite element technologies. These developments gave rise to a new precision medicine concept that proposes to individually assess anatomical and biomechanical characteristics and adapt treatment options accordingly. While this approach is already applied in maxillofacial surgery, its implementation in dentistry is still restricted. However, recent advancements in artificial intelligence make it possible to automate several parts of the laborious modelling task, bringing such user-assisted decision-support tools closer to both clinicians and researchers. Therefore, the present narrative review aimed to present and discuss the current literature investigating patient-specific modelling in dentistry, its state-of-the-art applications, and research perspectives.

Indexed as

Artificial IntelligenceSurgery, OralCone-Beam Computed TomographyHumansPatient-Specific ModelingPrecision MedicineDecision-makingDental stress analysisFinite element analysisOral diagnosisPatient-specific modellingPrecision medicine

Identifiers

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.