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Updated: Jan 27, 2026

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Digital Imaging Capability for Caries Detection: A Meta-analysis.

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Summary
This summary is machine-generated.

Digital radiography systems like photostimulable phosphor plates (PSPs) and direct digital sensors (DDSs) show high accuracy in identifying healthy tooth surfaces but struggle to detect interproximal caries. Clinicians should not rely solely on these imaging methods for diagnosis.

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Area of Science:

  • Dental Radiology
  • Diagnostic Imaging
  • Caries Detection

Background:

  • Interproximal caries detection is crucial for timely dental treatment.
  • Digital radiography, including PSPs and DDSs, is widely used for dental imaging.
  • The diagnostic accuracy of these digital systems for interproximal caries requires thorough evaluation.

Purpose of the Study:

  • To systematically review and meta-analyze the diagnostic capability of PSPs and DDSs in detecting interproximal caries.
  • To compare the performance of digital radiography systems against histologic analysis as the gold standard.

Main Methods:

  • Systematic review of electronic databases, Google Scholar, and reference lists.
  • Inclusion of six studies evaluating PSPs and DDSs for interproximal caries detection in human teeth.
  • Application of QUADAS-2 for risk of bias assessment and meta-analysis of four homogeneous studies.

Main Results:

  • Digital radiography demonstrated high specificity (84-100%) but low sensitivity (15-54%) for detecting interproximal caries.
  • PSPs and DDSs showed comparable diagnostic capabilities, with slight improvements in newer technologies being clinically insignificant.
  • Both systems excelled at identifying caries-free surfaces but were insufficient for reliably detecting existing interproximal caries.

Conclusions:

  • Intraoral digital imaging systems are effective in ruling out interproximal caries but have limitations in detecting them.
  • Clinicians must integrate clinical examination and other diagnostic tests with radiographic findings for accurate diagnosis.
  • Evidence-based decisions on selecting digital radiography systems should consider performance, time, radiation safety, and cost.