Chinese Journal of Tissue Engineering Research ›› 2026, Vol. 30 ›› Issue (14): 3736-3744.doi: 10.12307/2025.881

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Application of quantitative light-induced fluorescence technology in diagnosis of oral diseases

Du Huijing1, Chen Shichun1, Liu Yinuo1, Yang Yutong1, Wang Ruohan1, Yang Xueying1, Ma Zhe2, Yan Rui1   

  1. 1School of Stomatology, Jining Medical University, Jining 272000, Shandong Province, China; 2Hospital of Stomatology, Hebei Medical University, Shijiazhuang 050017, Hebei Province, China
  • Received:2024-09-26 Accepted:2024-10-25 Online:2026-05-18 Published:2025-09-15
  • Contact: Yan Rui, MS, School of Stomatology, Jining Medical University, Jining 272000, Shandong Province, China
  • About author:Du Huijing, School of Stomatology, Jining Medical University, Jining 272000, Shandong Province, China
  • Supported by:
    2020 Government Funding for the Outstanding Clinical Medicine Excellent Talent Training Project Leader (Team), No. MXZB00349 (to MZ); Jining Medical University Student Innovation Training Program, No. cx2023097z (to DHJ)

Abstract: BACKGROUND: As an emerging optical diagnostic method, quantitative light-induced fluorescence technology has received extensive attention and application in the field of oral disease diagnosis in recent years. 
OBJECTIVE: To review the application of quantitative light-induced fluorescence technology in the diagnosis and treatment of oral diseases.  
METHODS: PubMed database and CNKI database were searched by computer. The Chinese search terms were “quantitative light-induced fluorescence, early caries, osteomyelitis of jaw bone, oral malodor, plaque, cracked teeth, wear teeth.” The English search terms were “quantitative light-induced fluorescence/QLF, dental caries/dental decay, osteomyelitis of jaw/maxillary osteomyelitis, oral malodor/dental bacteria, cracked tooth syndrome/enamel crack/tooth cracked/enamel fracture, tooth wear.” The quality of the retrieved Chinese and English literature was assessed. Finally, 60 articles meeting the criteria were included for review. 
RESULTS AND CONCLUSION: (1) Quantitative light-induced fluorescence technology has shown effectiveness in the diagnosis of oral diseases such as early caries, osteomyelitis of the jaw, tooth cracks, oral malodor and tooth wear, and can provide a more accurate diagnosis than traditional methods, especially in the detection of early caries and tooth cracks. (2) Quantitative light-induced fluorescence technology can be combined with artificial intelligence, optical coherence tomography, digital photography and other technologies to improve the efficiency and accuracy of diagnosis. (3) Quantitative light-induced fluorescence technology has the advantages of multi-purpose, non-invasive, radiation-free, real-time judgment, and high sensitivity, and is a promising tool in the diagnosis of oral diseases. Despite some challenges, such as environmental condition requirements, equipment cost, and popularity, and less research support compared to other established technologies, quantitative light-induced fluorescence technology still shows great potential for application. Future research needs to further improve the accuracy and reliability of quantitative light-induced fluorescence techniques, explore combinations with other diagnostic techniques, and promote their standardization for use in broader clinical settings.  

Key words: quantitative light-induced fluorescence technology, early caries, osteomyelitis of the jaw, foul odor in the mouth, cracked teeth, tooth wear, engineered oral material

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