Validation of Quantitative Light-Induced Fluorescence Digital Analysis for Assessing Early Dental Caries Depth: A Micro-Computed Tomography-Based <i>In Vitro</i> Study

<b>Background/Objectives:</b> This study aimed to evaluate the analytical validity of micro-computed tomography (µCT) and compare it with quantitative light-induced fluorescence digital (QLFD) for assessing early dental caries (EDC) lesion depth (LD). This study was conducted in a destru...

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Main Author: Ji-Hyun Min
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Dentistry Journal
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Online Access:https://www.mdpi.com/2304-6767/13/3/90
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author Ji-Hyun Min
author_facet Ji-Hyun Min
author_sort Ji-Hyun Min
collection DOAJ
description <b>Background/Objectives:</b> This study aimed to evaluate the analytical validity of micro-computed tomography (µCT) and compare it with quantitative light-induced fluorescence digital (QLFD) for assessing early dental caries (EDC) lesion depth (LD). This study was conducted in a destructive <i>in vitro</i> setting. <b>Methods:</b> EDC lesions were artificially induced in 28 bovine tooth specimens for 10, 20, 30, 40, 50, 60, and 70 days, respectively. The lesions were analyzed using µCT and QLFD, with grayscale intensity thresholds set at 90% and 95%. A Pearson correlation analysis was performed to evaluate the relationship between lesion depths measured using micro-computed tomography (LD<sub>µCT</sub>) and quantitative light-induced fluorescence digital (LD<sub>QLFD</sub>) across different demineralization periods. Additionally, a Bland–Altman analysis was conducted to assess agreement between the two methods and identify systematic differences and potential bias. A regression analysis was further conducted with LD<sub>QLFD</sub> as the independent variable and LD<sub>µCT</sub> as the dependent variable. <b>Results:</b> LD<sub>µCT</sub> was consistently lower than LD<sub>QLFD</sub> across all demineralization periods. The Pearson correlation analysis demonstrated a strong correlation between LD<sub>µCT</sub> and LD<sub>QLFD</sub> (r = 0.898–0.977, <i>p</i> < 0.001). The Bland–Altman analysis demonstrated a high level of agreement, with most data points falling within the 95% limit of agreement. Furthermore, the regression analysis suggested that QLFD may serve as a reliable complementary tool for lesion depth assessment. <b>Conclusions:</b> Although µCT and QLFD operate based on different principles, the findings of this study, along with the cost-effectiveness and ease of use of QLFD, suggest that QLFD may serve as a complementary tool to µCT in experimental research.
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spelling doaj-art-42cf1ab0d6a242bcb4eb5191686bb1752025-08-20T02:42:46ZengMDPI AGDentistry Journal2304-67672025-02-011339010.3390/dj13030090Validation of Quantitative Light-Induced Fluorescence Digital Analysis for Assessing Early Dental Caries Depth: A Micro-Computed Tomography-Based <i>In Vitro</i> StudyJi-Hyun Min0Department of Dental Hygiene, College of Health and Medical Sciences, Cheongju University, 298 Daesung-ro, Cheongwon-gu, Cheongju 28503, Chungcheongbuk-do, Republic of Korea<b>Background/Objectives:</b> This study aimed to evaluate the analytical validity of micro-computed tomography (µCT) and compare it with quantitative light-induced fluorescence digital (QLFD) for assessing early dental caries (EDC) lesion depth (LD). This study was conducted in a destructive <i>in vitro</i> setting. <b>Methods:</b> EDC lesions were artificially induced in 28 bovine tooth specimens for 10, 20, 30, 40, 50, 60, and 70 days, respectively. The lesions were analyzed using µCT and QLFD, with grayscale intensity thresholds set at 90% and 95%. A Pearson correlation analysis was performed to evaluate the relationship between lesion depths measured using micro-computed tomography (LD<sub>µCT</sub>) and quantitative light-induced fluorescence digital (LD<sub>QLFD</sub>) across different demineralization periods. Additionally, a Bland–Altman analysis was conducted to assess agreement between the two methods and identify systematic differences and potential bias. A regression analysis was further conducted with LD<sub>QLFD</sub> as the independent variable and LD<sub>µCT</sub> as the dependent variable. <b>Results:</b> LD<sub>µCT</sub> was consistently lower than LD<sub>QLFD</sub> across all demineralization periods. The Pearson correlation analysis demonstrated a strong correlation between LD<sub>µCT</sub> and LD<sub>QLFD</sub> (r = 0.898–0.977, <i>p</i> < 0.001). The Bland–Altman analysis demonstrated a high level of agreement, with most data points falling within the 95% limit of agreement. Furthermore, the regression analysis suggested that QLFD may serve as a reliable complementary tool for lesion depth assessment. <b>Conclusions:</b> Although µCT and QLFD operate based on different principles, the findings of this study, along with the cost-effectiveness and ease of use of QLFD, suggest that QLFD may serve as a complementary tool to µCT in experimental research.https://www.mdpi.com/2304-6767/13/3/90dental cariesearly dental carieslesion depthquantitative light-induced fluorescenceX-ray microtomography
spellingShingle Ji-Hyun Min
Validation of Quantitative Light-Induced Fluorescence Digital Analysis for Assessing Early Dental Caries Depth: A Micro-Computed Tomography-Based <i>In Vitro</i> Study
Dentistry Journal
dental caries
early dental caries
lesion depth
quantitative light-induced fluorescence
X-ray microtomography
title Validation of Quantitative Light-Induced Fluorescence Digital Analysis for Assessing Early Dental Caries Depth: A Micro-Computed Tomography-Based <i>In Vitro</i> Study
title_full Validation of Quantitative Light-Induced Fluorescence Digital Analysis for Assessing Early Dental Caries Depth: A Micro-Computed Tomography-Based <i>In Vitro</i> Study
title_fullStr Validation of Quantitative Light-Induced Fluorescence Digital Analysis for Assessing Early Dental Caries Depth: A Micro-Computed Tomography-Based <i>In Vitro</i> Study
title_full_unstemmed Validation of Quantitative Light-Induced Fluorescence Digital Analysis for Assessing Early Dental Caries Depth: A Micro-Computed Tomography-Based <i>In Vitro</i> Study
title_short Validation of Quantitative Light-Induced Fluorescence Digital Analysis for Assessing Early Dental Caries Depth: A Micro-Computed Tomography-Based <i>In Vitro</i> Study
title_sort validation of quantitative light induced fluorescence digital analysis for assessing early dental caries depth a micro computed tomography based i in vitro i study
topic dental caries
early dental caries
lesion depth
quantitative light-induced fluorescence
X-ray microtomography
url https://www.mdpi.com/2304-6767/13/3/90
work_keys_str_mv AT jihyunmin validationofquantitativelightinducedfluorescencedigitalanalysisforassessingearlydentalcariesdepthamicrocomputedtomographybasediinvitroistudy