ReviewImaging science in dentistry2025
Diffusion-weighted magnetic resonance imaging for differentiation of unicystic ameloblastoma, odontogenic keratocyst, and dentigerous cyst: A systematic review and network meta-analysis.
Review in Imaging science in dentistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- A case of glandular odontogenic cyst with diagnostic difficulty based on imaging findings.Oral radiology · 2026Article
- Apparent diffusion coefficient for distinguishing between benign and malignant lesions in submandibular and sublingual spaces.Oral radiology · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Diffusion-weighted magnetic resonance imaging (DW-MRI) facilitates the differentiation of unicystic ameloblastoma (UAM), odontogenic keratocyst (OKC), and dentigerous cyst (DC) by depicting detailed internal lesion structures based on water molecule movement. This study aimed to evaluate the efficacy of DW-MRI in distinguishing UAM, OKC, and DC. Materials and Methods: This systematic review included studies from 2008 to 2022 that evaluated the diagnostic accuracy of DW-MRI through apparent diffusion coefficient (ADC) values in UAM, OKC, and DC. Six studies were qualitatively appraised using the QUADAS-2 tool, and 4 studies were subsequently included in a network meta-analysis for quantitative assessment of mean ADC values. The protocol was registered with PROSPERO (registration number: CRD42024502152). Results: Six studies encompassing 230 patients employed DW-MRI with an echo planar imaging sequence, yielding images with either hyperintense or hypointense lesion enhancements. The studies demonstrated that the mean ADC value for UAM was >2.0×10 Conclusion: This systematic review shows that DW-MRI, when used in conjunction with ADC measurements, effectively differentiates among UAM, OKC, and DC. The statistically significant ADC cut-off values support the use of DW-MRI as an adjunctive imaging modality to improve diagnostic accuracy in clinical practice.
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