Evidence map›Paper›PMID 35799967›Full record

ReviewImaging science in dentistry2022

Cone-beam computed tomographic imaging of central giant cell granuloma: A comprehensive review.

Mehrnaz Tahmasbi-Arashlow, Paras B Patel, Madhu K Nair, Hui Liang, Yi-Shing Lisa Cheng

Abstract readReview
In one paragraph

Review in Imaging science in dentistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Mehrnaz Tahmasbi-ArashlowDepartment of Diagnostic Sciences, Texas A&M University College of Dentistry, United States.ORCID https://orcid.org/0000-0002-9804-9800
Paras B PatelDepartment of Diagnostic Sciences, Texas A&M University College of Dentistry, United States.ORCID https://orcid.org/0000-0003-0625-8136
Madhu K NairDepartment of Diagnostic Sciences, Texas A&M University College of Dentistry, United States.ORCID https://orcid.org/0000-0003-0486-1943
Hui LiangDepartment of Diagnostic Sciences, Texas A&M University College of Dentistry, United States.ORCID https://orcid.org/0000-0002-3017-0129
Yi-Shing Lisa ChengDepartment of Diagnostic Sciences, Texas A&M University College of Dentistry, United States.ORCID https://orcid.org/0000-0002-7655-1437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study was to characterize the cone-beam computed tomographic (CBCT) imaging features of central giant cell granuloma (CGCG) of the jawbone. Materials and Methods: This study retrospectively reviewed 26 CBCT studies of histologically proven cases of CGCG during a period of 20 years, from 1999 to 2019. Patients' demographic data were recorded, and radiographic features were assessed (location, border, cortication, appearance of the internal structure, locularity, septation, expansion, cortical perforation, effects on surrounding tissue, whether the lesion crossed the midline, and lesion volume). Results: In this study, CGCGs were seen almost twice as often in the mandible than in the maxilla, and 64.7% of mandibular lesions involved the anterior region. Only 26.9% of lesions crossed the midline, a feature that was considered characteristic of CGCG. Furthermore, 65.4% of lesions were unilocular and 34.6% were multilocular. The correlation between a lesion's size and its locularity was statistically significant, and larger lesions showed a multilocular appearance. The mean volume of multilocular lesions was greater than that of unilocular lesions. Conclusion: CGCGs showed variable radiographic features on CBCT, and this imaging modality is highly effective at demonstrating the radiographic spectrum and lesional extent of CGCGs in the jawbone.

Indexed as

Cone-Beam Computed TomographyGranuloma, Giant CellJawTreatment

Identifiers

PMID35799967
PMCPMC9226240

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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.