Evidence map›Paper›PMID 31709811›Full record

SynthesisDento maxillo facial radiology2020

Accuracy of computer-assisted image analysis in the diagnosis of maxillofacial radiolucent lesions: A systematic review and meta-analysis.

Virginia K S Silva, Walbert A Vieira, Ítalo M Bernardino, Bruno A N Travençolo, Marcos A V Bittencourt, Cauane Blumenberg, Luiz R Paranhos, Hebel C Galvão

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Dento maxillo facial radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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.

Virginia K S SilvaDepartment of Dentistry, Postgraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Walbert A VieiraPostgraduate Program in Dentistry, Endodontics Division, Piracicaba Dental School, State University of Campinas, Piracicaba, São Paulo, Brazil.
Ítalo M BernardinoDepartment of Dentistry, Postgraduate Program in Dentistry, State University of Paraíba, Campina Grande, Paraíba, Brazil.
Bruno A N TravençoloCenter for Exact Sciences and Technology, School of Computing, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Marcos A V BittencourtDepartment of Pediatric and Community Dentistry, School of Dentistry, Federal University of Bahia, Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0003-1728-2414
Cauane BlumenbergDepartment of Social Medicine, Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Luiz R ParanhosDepartment of Preventive and Community Dentistry, School of Dentistry, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Hebel C GalvãoDepartment of Dentistry, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to search for scientific evidence concerning the accuracy of computer-assisted analysis for diagnosing maxillofacial radiolucent lesions.

methodsA systematic review was conducted according to the statements of Preferred Reporting Items for Systematic Reviews and Meta-analyses Protocols and considering 10 databases, including the gray literature. Protocol was registered at the International Prospective Register of Systematic Reviews (CRD42018089945). The population, intervention, comparison and outcome strategy was used to define the eligibility criteria and only diagnostic test studies were included. Their risk of bias was assessed by the Joanna Briggs Institute Critical Appraisal tool. Random-effects model meta-analysis was performed and heterogeneity among the included studies was estimated using the I

resultsOut of 715 identified citations, four papers, published between 2009 and 2017, fulfilled the criteria and were included in this systematic review. A total of 191 lesions, classified as periapical granuloma and cyst, dentigerous cyst or keratocystic odontogenic tumor, were analyzed. All selected articles scored low risk of bias. The pooled accuracy estimation, regardless of the classification method used, was 88.75% (95% CI = 85.19-92.30). Heterogeneity test reached moderate values (I

conclusionsThe overall evaluation showed all studies presented high accuracy rates of computer-aided diagnosis systems in classifying radiolucent maxillofacial lesions compared to histopathological biopsy. However, due to the moderate heterogeneity found among the studies included in this meta-analysis, a pragmatic recommendation about the use of computer-assisted analysis is not possible.

Indexed as

Dentigerous CystDiagnosis, Computer-AssistedImage Processing, Computer-AssistedOdontogenic TumorsBiopsyHumansComputer-assisted diagnosisComputer-assisted image analysisComputer-assisted image processingMaxillofacial pathology.periapical cyst

Identifiers

PMID31709811
PMCPMC7068083

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.