Scholarlink

<p>This systematic review and meta-analysis aimed to assess the diagnostic accuracy of quantitative light-induced fluorescence (QLF) in detecting dental caries of varying lesion severities, surfaces, and dentition types, across both in vitro and in vivo studies. Data extracted included study characteristics, diagnostic outcomes (sensitivity, specificity, AUC), caries types, lesion thresholds (ICDAS), and QLF parameters (ΔF, ΔR). Enamel lesions were stratified into incipient (ICDAS 1–2) and advanced stages (ICDAS 3), with dentin caries defined as ICDAS 4 or greater. A comprehensive search of Ovid MEDLINE and EMBASE was conducted up to May 2023, without language restrictions. Manual reference screening was performed to identify additional relevant studies. Seventeen studies met the eligibility criteria, which included evaluating QLF against reference standards (ICDAS, radiography, histology) and reporting diagnostic measures. Risk of bias was assessed using QUADAS-2. Meta-analysis included studies with extractable or inferable 2 × 2 contingency data. QLF demonstrated excellent diagnostic accuracy in distinguishing sound surfaces from enamel and dentin lesions, with in vivo Area Under the Curve (AUC) values for incipient occlusal lesions ranging from 0.94 to 0.98. The technology showed high pooled sensitivity and specificity for both occlusal (in vivo: 0.86/0.82) and approximal caries (in vivo: 0.74/0.82), confirming its effectiveness for early-stage detection.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Diagnostic accuracy of quantitative light-induced fluorescence in detecting caries of various types and locations: a systematic review and meta-analysis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月14日

查看全文
  • Eun-Song Lee,
  • Jeehyun Hwang,
  • Lei Cheng,
  • Hoi In Jung,
  • Baek-Il Kim

摘要

This systematic review and meta-analysis aimed to assess the diagnostic accuracy of quantitative light-induced fluorescence (QLF) in detecting dental caries of varying lesion severities, surfaces, and dentition types, across both in vitro and in vivo studies. Data extracted included study characteristics, diagnostic outcomes (sensitivity, specificity, AUC), caries types, lesion thresholds (ICDAS), and QLF parameters (ΔF, ΔR). Enamel lesions were stratified into incipient (ICDAS 1–2) and advanced stages (ICDAS 3), with dentin caries defined as ICDAS 4 or greater. A comprehensive search of Ovid MEDLINE and EMBASE was conducted up to May 2023, without language restrictions. Manual reference screening was performed to identify additional relevant studies. Seventeen studies met the eligibility criteria, which included evaluating QLF against reference standards (ICDAS, radiography, histology) and reporting diagnostic measures. Risk of bias was assessed using QUADAS-2. Meta-analysis included studies with extractable or inferable 2 × 2 contingency data. QLF demonstrated excellent diagnostic accuracy in distinguishing sound surfaces from enamel and dentin lesions, with in vivo Area Under the Curve (AUC) values for incipient occlusal lesions ranging from 0.94 to 0.98. The technology showed high pooled sensitivity and specificity for both occlusal (in vivo: 0.86/0.82) and approximal caries (in vivo: 0.74/0.82), confirming its effectiveness for early-stage detection.