Diagnostic Accuracy of Periapical Radiography and Panoramic Radiography in the Detection of Apical Periodontitis: a Systematic Review and Meta-analysis

Overview

Journal Radiol Med

Specialty Radiology

Date 2024 Sep 3

PMID 39225920

Authors

Giulio Stera

Martina Giusti

Andrea Magnini

Linda Calistri

Rossana Izzetti

Cosimo Nardi

Affiliations

Soon will be listed here.

Abstract

Objective: Apical periodontitis (AP) is one of the most common pathologies of the oral cavity. An early and accurate diagnosis of AP lesions is crucial for proper management and planning of endodontic treatments. This study investigated the diagnostic accuracy of periapical radiography (PR) and panoramic radiography (PAN) in the detection of clinically/surgically/histopathologically confirmed AP lesions.

Method: A systematic literature review was conducted in accordance with the PRISMA guidelines. The search strategy was limited to English language articles via PubMed, Embase and Web of Science databases up to June 30, 2023. Such articles provided diagnostic accuracy values of PR and/or PAN in the detection of AP lesions or alternatively data needed to calculate them.

Results: Twelve studies met inclusion criteria and were considered for the analysis. The average value of diagnostic accuracy in assessing AP lesions was 71% for PR and 66% for PAN. According to different accuracy for specific anatomical areas, it is recommended to use PR in the analysis of AP lesions located in the upper arch and lower incisor area, whereas lower premolar and molar areas may be investigated with the same accuracy with PR or PAN.

Conclusions: Two-dimensional imaging must be considered the first-level examination for the diagnosis of AP lesions. PR had an overall slightly higher diagnostic accuracy than PAN. Evidence from this review provided a useful tool to support radiologists and dentists in their decision-making when inflammatory periapical bone lesions are suspected to achieve the best clinical outcome for patients, improving the quality of clinical practice.

Citing Articles

Deep Learning-Based Periapical Lesion Detection on Panoramic Radiographs.

Szabo V, Orhan K, Dobo-Nagy C, Veres D, Manulis D, Ezhov M Diagnostics (Basel). 2025; 15(4).

PMID: 40002661 PMC: 11854226. DOI: 10.3390/diagnostics15040510.

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