Department of Orthodontics, Dentistry Faculty, University of São Paulo, São Paulo, Brazil.
Dentomaxillofac Radiol. 2010 Sep;39(6):356-61. doi: 10.1259/dmfr/13093703.
minimal density variations of mineralized tissues can be reliably detected with quantitative image subtraction analysis. The aim of this study was to evaluate quantitative variations of in vitro mineral density by varying the exposure time of direct digital radiographs using a computer assisted densitometric image analysis (CADIA) program.
in a human mandibular segment a three-wall periodontal defect was created mesial to a molar. Bone chips were created from the marrowbone of the same mandible with masses of 1 to 5 mg. A triplicate radiograph of the defect was taken as a baseline for seven different exposure times. The bone chips were inserted into the defect and another triplicate series of radiographs for the seven exposure times were taken as follow-up images. The images were analysed using CADIA software to detect variations in bone density.
the results of CADIA revealed increased density when the size of the inserted bone chip increased. The 2 mg chip was underestimated owing to mass reduction during insertion. The regression line of the CADIA values was consistent with the weight of the bone chips of 1, 3, 4 and 5 mg. The exposure time f6 (0.178 s) showed the best correlation with the bone chip weight. Loss of information in the images occurred when the exposure time exceeded the sensor's latitude.
CADIA analysis is a reliable and sensitive tool for detecting subtle bone density variations. More reliable results are obtained with increased exposure time; however, excessive exposure should be avoided.
利用定量图像减影分析,可以可靠地检测矿化组织的最小密度变化。本研究的目的是使用计算机辅助密度图像分析(CADIA)程序,通过改变直接数字射线照相的曝光时间,评估体外矿密度的定量变化。
在人类下颌骨段中,在磨牙的近中侧创建了三壁牙周缺损。从同一下颌骨的骨髓骨中创建了质量为 1 至 5 毫克的骨屑。对缺损进行了三次射线照相作为七个不同曝光时间的基线。将骨屑插入缺损中,并对七个曝光时间进行了另三次射线照相系列作为随访图像。使用 CADIA 软件对图像进行分析,以检测骨密度的变化。
CADIA 的结果显示,插入的骨屑增加时密度增加。由于插入过程中质量减少,2 毫克的骨屑被低估。CADIA 值的回归线与 1、3、4 和 5 毫克的骨屑重量一致。曝光时间 f6(0.178 秒)与骨屑重量的相关性最好。当曝光时间超过传感器的动态范围时,图像中的信息会丢失。
CADIA 分析是检测细微骨密度变化的可靠且敏感的工具。增加曝光时间可获得更可靠的结果,但应避免过度曝光。