Tokyo Medical and Dental University, Cariology and Operative Dentistry, Department of Restorative Sciences, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan.
J Biomed Opt. 2011 Jul;16(7):071408. doi: 10.1117/1.3600448.
This study aimed to investigate whether swept source optical coherence tomography (SS-OCT) could estimate the lesion depth and mineral loss quantitatively without the use of polarization sensitivity, and to examine a relationship between OCT data and transverse microradiography (TMR) lesion parameters. Twenty-four bovine root dentin specimens were allocated to three groups of 4-, 7-, and 14-day demineralization. Cross-sectional images of the specimens before and after the demineralization were captured by OCT at 1319 nm center wavelength. Following the demineralization, these specimens were cut into sections for TMR analysis. Correlations between the OCT data and TMR lesion parameters were examined. TMR images of the specimens showed cavitated lesions (lesion depth or LD(TMR): 200 to 500 μm, ΔZ or mineral loss: 10,000 to 30,000 vol % μm). The OCT images showed "boundaries," suggesting the lesion front. Integrated dB values before and after the demineralization and their difference (R(D), R(S), and ΔR, respectively) were calculated from the lesion surface to the corrected depth of boundary (LD(OCT)). A statistically significant correlation was found between LD(OCT) and LD(TMR) (p < 0.05, r = 0.68). Similarly, statistically significant correlations were found between ΔZ and R(D) or ΔR. The OCT showed a potential for quantitative estimation of lesion depth and mineral loss with cavitated dentin lesions in vitro.
本研究旨在探讨扫频源光学相干断层扫描（SS-OCT）是否可以在不使用偏振灵敏度的情况下定量估计病变深度和矿物质损失，并研究 OCT 数据与横向显微放射照相术（TMR）病变参数之间的关系。将 24 个牛牙根牙本质标本分配到 4 天、7 天和 14 天脱矿的三组中。在 1319nm 中心波长处，使用 OCT 对标本脱矿前后的横截面图像进行捕获。脱矿后，将这些标本切成用于 TMR 分析的切片。检查了 OCT 数据与 TMR 病变参数之间的相关性。标本的 TMR 图像显示有空腔的病变（病变深度或 LD(TMR)：200 至 500μm，ΔZ 或矿物质损失：10,000 至 30,000 体积%μm）。OCT 图像显示“边界”，提示病变前缘。从病变表面到校正的边界深度（LD(OCT)）计算脱矿前后的积分 dB 值及其差值（R(D)、R(S)和ΔR 分别）。LD(OCT)与 LD(TMR)之间存在统计学显著相关性（p<0.05，r=0.68）。同样，ΔZ 与 R(D)或ΔR 之间也存在统计学显著相关性。OCT 显示出定量估计体外有空腔的牙本质病变的病变深度和矿物质损失的潜力。
