ArticleHeliyon2020
Differentiation of periapical granuloma from radicular cyst using cone beam computed tomography images texture analysis.
Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- Radiomics-Based Diagnosis in Dentomaxillofacial Radiology: A Systematic Review.Journal of imaging informatics in medicine · 2025Pooled it
- Radiographic texture analysis of the hard tissue changes following socket preservation with allograft and xenograft materials for dental implantation: a randomized clinical trial.Oral and maxillofacial surgery · 2024Trial
- Perilesional and Contextual Radiomic Features Improve Differentiation of Odontogenic Cysts on Panoramic Radiographs.Journal of clinical medicine · 2026Article
- Scanning resolution influences texture features in intraoral radiographs.Oral radiology · 2026Article
- Radiomics-Based Differential Diagnosis of Radicular Cysts and Apical Granulomas on CBCT Images Using RadC-CNN Architecture.Diagnostics (Basel, Switzerland) · 2026Article
- Evaluating large language models for interpreting and applying caries guidelines in clinical decision support.BMC oral health · 2026Article
- Multimodal Radiogenomic Imaging in Oropharyngeal Squamous Cell Carcinoma: Implications for Dentomaxillofacial Radiology.Medical sciences (Basel, Switzerland) · 2026Review
- Dental Odontogenic Lesion CBCT and Histopathology Integrated Dataset for Benchmarking Deep Learning Algorithms.Scientific data · 2026Article
- Radiomics as a Decision Support Tool for Detecting Occult Periapical Lesions on Intraoral Radiographs.Journal of clinical medicine · 2026Article
- Accuracy of Grayscale Value in Diagnosis of Odontogenic Keratocyst and Radicular Cyst.Frontiers in dentistry · 2026Article
- Radiomics in Action: Multimodal Synergies for Imaging Biomarkers.Bioengineering (Basel, Switzerland) · 2025Review
- CT Texture Patterns Reflect HPV Status but Not Histological Differentiation in Oropharyngeal Squamous Cell Carcinoma.Cancers · 2025Article
- Radiographic and Clinical Outcomes of Laser-Enhanced Disinfection in Endodontic Therapy.Journal of clinical medicine · 2025Article
- Radiomics-Driven CBCT Texture Analysis as a Novel Biosensor for Quantifying Periapical Bone Healing: A Comparative Study of Intracanal Medications.Biosensors · 2025Article
- A Radicular Cyst With Extensive Bone Loss Requires Surgical and Endodontic Management: Case Presentation and Literature Review.Case reports in dentistry · 2025Article
- Unveiling degenerative bone changes in the condyle: a texture analysis approach using cone-beam computed tomography.Acta cirurgica brasileira · 2025Article
- Radiographic signature in apical periodontitis improves prediction of apical lesion healing through survival prediction model.PloS one · 2025Article
- Radiomic Parameters in Periapical Lesions: A CBCT Analysis Evaluating Volumetric Size, Cortical Expansion, Erosion, and Shape.European endodontic journal · 2024Article
- Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions.Journal of imaging · 2024Review
- Differentiation of radicular cysts and radicular granulomas via texture analysis of multi-slice computed tomography images.Dento maxillo facial radiology · 2024Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to investigate the use of texture analysis for characterization of radicular cysts and periapical granulomas and to assess its efficacy to differentiate between both lesions with histological diagnosis.
methodsCone beam computed tomography (CBCT) images were obtained from 19 patients with 25 periapical lesions (14 radicular cysts and 11 periapical granulomas) confirmed by biopsy. Regions of interest were created in the lesions from which 11 texture parameters were calculated. Spearman's correlation analysis was performed and adjusted with Benjamini-Hochberg false discovery rate procedure (FDR <0.005).
resultsThe texture parameters used to differentiate the lesions were assessed by using a receiver operating characteristic analysis. Five texture parameters were predictive of lesion differentiation for eight positions: angular second moment; sum of squares; sum of average; contrast; correlation.
conclusionTexture analysis of CBCT scans distinguishes radicular cysts from periapical granulomas and can be a promising diagnostic tool for periapical lesions. CLINICAL SIGNIFICANCE: Texture analysis can be used in diagnostic and treatment monitoring to provide supplementary information.
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