Evidence map›Paper›PMID 38135945›Full record

ArticleBioengineering (Basel, Switzerland)2023

Teeth Microcracks Research: Towards Multi-Modal Imaging.

Irma Dumbryte, Donatas Narbutis, Maria Androulidaki, Arturas Vailionis, Saulius Juodkazis, Mangirdas Malinauskas

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Irma DumbryteInstitute of Odontology, Vilnius University, LT-08217 Vilnius, Lithuania.ORCID 0000-0002-9930-325X
Donatas NarbutisInstitute of Theoretical Physics and Astronomy, Vilnius University, LT-10222 Vilnius, Lithuania.ORCID 0000-0003-1389-1933
Maria AndroulidakiMicroelectronics Research Group, Institute of Electronic Structure & Laser, Foundation for Research and Technology FORTH-Hellas, 70013 Heraklion, Crete, Greece.ORCID 0000-0002-6772-8851
Arturas VailionisStanford Nano Shared Facilities, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-5878-1864
Saulius JuodkazisOptical Sciences Centre and ARC Training Centre in Surface Engineering for Advanced Materials (SEAM), School of Science, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.ORCID 0000-0003-3542-3874
Mangirdas MalinauskasLaser Research Center, Vilnius University, LT-10223 Vilnius, Lithuania.ORCID 0000-0002-6937-4284

Funding

M.M. acknowledges EU LASERLAB-EUROPE for the financial support. This work was performed under the "University Excellence Initiative programme". grant agreement No. 871124, Horizon 2020 research and innovation programme
6 · The paper itself

Abstract

This perspective is an overview of the recent advances in teeth microcrack (MC) research, where there is a clear tendency towards a shift from two-dimensional (2D) to three-dimensional (3D) examination techniques, enhanced with artificial intelligence models for data processing and image acquisition. X-ray micro-computed tomography combined with machine learning allows 3D characterization of all spatially resolved cracks, despite the locations within the tooth in which they begin and extend, and the arrangement of MCs and their structural properties. With photoluminescence and micro-/nano-Raman spectroscopy, optical properties and chemical and elemental composition of the material can be evaluated, thus helping to assess the structural integrity of the tooth at the MC site. Approaching tooth samples having cracks from different perspectives and using complementary laboratory techniques, there is a natural progression from 3D to multi-modal imaging, where the volumetric (passive: dimensions) information of the tooth sample can be supplemented by dynamic (active: composition, interaction) image data. Revelation of tooth cracks clearly shows the need to re-assess the role of these MCs and their effect on the structural integrity and longevity of the tooth. This provides insight into the nature of cracks in natural hard materials and contributes to a better understanding of how bio-inspired structures could be designed to foresee crack propagation in biosolids.

Indexed as

artificial intelligencebiosolidsclinical diagnosticsenamel damagemachine learningspectroscopyX-ray micro-computed tomography

Identifiers

PMID38135945
PMCPMC10740647

What OpenQuestion holds

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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.