Evidence map›Paper›PMID 33778330›Full record

ReviewJBMR plus2021

Guidelines for Micro-Computed Tomography Analysis of Rodent Dentoalveolar Tissues.

Michael B Chavez, Emily Y Chu, Vardit Kram, Luis F de Castro, Martha J Somerman, Brian L Foster

Abstract readReview
In one paragraph

Review in JBMR plus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  19. ADAM10 Expression by Ameloblasts Is Essential for Proper Enamel Formation.International journal of molecular sciences · 2024
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  20. 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.

Michael B ChavezDivision of Biosciences, College of Dentistry The Ohio State University Columbus OH USA.
Emily Y ChuNational Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) National Institutes of Health (NIH) Bethesda MD USA.
Vardit KramNational Institute of Dental and Craniofacial Research (NIDCR)National Institutes of Health (NIH) Bethesda MD USA.
Luis F de CastroNational Institute of Dental and Craniofacial Research (NIDCR)National Institutes of Health (NIH) Bethesda MD USA.ORCID https://orcid.org/0000-0003-3194-9780
Martha J SomermanNational Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) National Institutes of Health (NIH) Bethesda MD USA.
Brian L FosterDivision of Biosciences, College of Dentistry The Ohio State University Columbus OH USA.ORCID https://orcid.org/0000-0003-3444-0576

Funding

Functions of extracellular matrix proteins in dental and skeletal mineralizationR01DE027639 · NIDCR · OHIO STATE UNIVERSITY · PI Brian Lee Foster · 2019 to 2026
$2.3M
Extracellular Matrix and Phosphate/Pyrophosphate Metabolism in Cementum FormationR00AR066110 · NIAMS · OHIO STATE UNIVERSITY · PI FOSTER, BRIAN LEE · 2015 to 2017
$747k
Role of tissue-nonspecific alkaline phosphatase in dentoalveolar development and diseaseR03DE028411 · NIDCR · OHIO STATE UNIVERSITY · PI FOSTER, BRIAN LEE · 2019 to 2020
$312k
NIAMS NIH HHS R00 AR066110NIDCR NIH HHS R01 DE027639NIDCR NIH HHS R03 DE028411
6 · The paper itself

Abstract

Micro-computed tomography (μCT) has become essential for analysis of mineralized as well as nonmineralized tissues and is therefore widely applicable in the life sciences. However, lack of standardized approaches and protocols for scanning, analyzing, and reporting data often makes it difficult to understand exactly how analyses were performed, how to interpret results, and if findings can be broadly compared with other models and studies. This problem is compounded in analysis of the dentoalveolar complex by the presence of four distinct mineralized tissues: enamel, dentin, cementum, and alveolar bone. Furthermore, these hard tissues interface with adjacent soft tissues, the dental pulp and periodontal ligament (PDL), making for a complex organ. Drawing on others' and our own experience analyzing rodent dentoalveolar tissues by μCT, we introduce techniques to successfully analyze dentoalveolar tissues with similar or disparate compositions, densities, and morphological characteristics. Our goal is to provide practical guidelines for μCT analysis of rodent dentoalveolar tissues, including approaches to optimize scan parameters (filters, voltage, voxel size, and integration time), reproducibly orient samples, define regions and volumes of interest, segment and subdivide tissues, interpret findings, and report methods and results. We include illustrative examples of analyses performed on genetically engineered mouse models with phenotypes in enamel, dentin, cementum, and alveolar bone. The recommendations are designed to increase transparency and reproducibility, promote best practices, and provide a basic framework to apply μCT analysis to the dentoalveolar complex that can also be extrapolated to a variety of other tissues of the body. © 2021 The Authors.

Indexed as

BIOMINERALIZATIONBONEDENTAL CEMENTUMDENTAL ENAMELDENTINODONTOGENESIS

Identifiers

PMID33778330
PMCPMC7990153

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.