Evidence map›Paper›PMID 36811675›Full record

ArticleInternational journal of legal medicine2023

Age prediction in sub-adults based on MRI segmentation of 3rd molar tissue volumes.

Mai Britt Bjørk, Sigrid Ingeborg Kvaal, Øyvind Bleka, Tomas Sakinis, Frode Alexander Tuvnes, Mari-Ann Haugland, Peter Mæhre Lauritzen, Heidi Beate Eggesbø

Abstract read
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In one paragraph

Article in International journal of legal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Magnetic Resonance Imaging for Dental Pulp Assessment: A Comprehensive Review.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  2. Article
  3. Article
  4. 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

8 authors.

Mai Britt BjørkInstitute of Clinical Dentistry, Faculty of Dentistry, University of Oslo, Postboks 1109, Blindern, N-00317, Oslo, Norway. mbbjork@yahoo.no.ORCID http://orcid.org/0000-0001-7661-9780
Sigrid Ingeborg KvaalInstitute of Clinical Dentistry, Faculty of Dentistry, University of Oslo, Postboks 1109, Blindern, N-00317, Oslo, Norway.ORCID http://orcid.org/0000-0002-3825-9048
Øyvind BlekaDepartment of Forensic Sciences, Oslo University Hospital, Postboks 4950 Nydalen, OUS, Rikshospitalet, 0424, Oslo, Norway.ORCID http://orcid.org/0000-0001-8456-1507
Tomas SakinisDivision of Radiology and Nuclear Medicine, Oslo University Hospital, Postboks 4950 Nydalen, OUS, Ullevål, 0424, Oslo, Norway.ORCID http://orcid.org/0000-0001-5954-7586
Frode Alexander TuvnesDivision of Radiology and Nuclear Medicine, Oslo University Hospital, Postboks 4950 Nydalen, OUS, Ullevål, 0424, Oslo, Norway.ORCID http://orcid.org/0000-0002-7028-0971
Mari-Ann HauglandDivision of Radiology and Nuclear Medicine, Oslo University Hospital, Postboks 4950 Nydalen, OUS, Ullevål, 0424, Oslo, Norway.ORCID http://orcid.org/0000-0002-4539-2429
Peter Mæhre LauritzenDivision of Radiology and Nuclear Medicine, Oslo University Hospital, Postboks 4950 Nydalen, OUS, Ullevål, 0424, Oslo, Norway.ORCID http://orcid.org/0000-0002-2309-7218
Heidi Beate EggesbøDivision of Radiology and Nuclear Medicine, Oslo University Hospital, Postboks 4950 Nydalen, OUS, Ullevål, 0424, Oslo, Norway.ORCID http://orcid.org/0000-0001-6115-0772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOur aim was to investigate tissue volumes measured by MRI segmentation of the entire 3rd molar for prediction of a sub-adult being older than 18 years. MATERIAL AND

methodWe used a 1.5-T MR scanner with a customized high-resolution single T2 sequence acquisition with 0.37 mm iso-voxels. Two dental cotton rolls drawn with water stabilized the bite and delineated teeth from oral air. Segmentation of the different tooth tissue volumes was performed using SliceOmatic (Tomovision

resultsWe included 67 volunteers (F/M: 45/22), range 14-24 years, median age 18 years. The transformation outcome (pulp + predentine)/total volume for upper 3rd molars had the strongest association with age (p = 3.4 × 10

conclusionMRI segmentation of tooth tissue volumes might prove useful in the prediction of age older than 18 years in sub-adults.

Indexed as

Age Determination by TeethMolarAdolescentBayes TheoremFemaleHumansLinear ModelsMagnetic Resonance ImagingMalePredictive Value of TestsYoung AdultAge estimationMagnetic resonance imagingSegmentationSub-adultsThird molar

Identifiers

PMID36811675
PMCPMC10085921

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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.