ArticleClinical oral investigations2020
Digital subtraction radiography in detection of vertical root fractures: accuracy evaluation for root canal filling, fracture orientation and width variables. An ex-vivo study.
Article in Clinical oral investigations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Use of Artificial Intelligence in Diagnosing Vertical Root Fractures-A Systematic Review.Diagnostics (Basel, Switzerland) · 2026Review
- Role of periodontal endoscopy in clinical decision-making for teeth with suspected vertical root fractures.BMC oral health · 2025Article
- Does endodontics influence radiological detection of external root resorption? an in vitro study.BMC oral health · 2023Article
- Effect of cone-beam computed tomography metal artefact reduction on incomplete subtle vertical root fractures.Imaging science in dentistry · 2023Article
- Machine Learning in Dentistry: A Scoping Review.Journal of clinical medicine · 2023Article
- Minimal Detectable Width of Tooth Fractures Using Magnetic Resonance Imaging and Method to Measure.Journal of endodontics · 2022Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveEx-vivo evaluation of the detectability of vertical root fractures (VRFs) using digital subtraction radiography (DSR) and conventional digital periapical radiography (CDPR); investigation of the effect of root canal filling, x-ray angulation, and thickness of the VRF in the diagnostic accuracy. MATERIALS AND
methodsSixty root canals were mechanically prepared and radiographed either with a gutta-percha root canal filling or without, at 0
resultsNo significant differences in sensitivity, specificity, and the areas under the ROC curves (AUC) between the CDPR and DSR were detected (p > 0.05), except for root canal filled teeth where the AUC for DSR was higher (p < 0.05). Using DSR, a VRF was 1.3 times more likely to be diagnosed [95% confidence intervals (CI): 1.045-1.59; p = 0.018]. A correct diagnosis was 2.399 times more likely to occur in non-filled teeth regardless of the radiographic technique (95% CI 1.940-2.965; p = 0). The regression coefficients were positive for width and negative for angle.
conclusionsDSR showed a better diagnostic accuracy of VRFs compared with CDPR, in single root canal filled teeth. The angulation, the width, and the presence of a root canal filling affected the diagnostic potential. CLINICAL RELEVANCE: DSR is a cost- and time-effective imaging technique that could contribute in early diagnosis of VRFs.
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