School of Dentistry, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Department of Anatomy, Institute of Biomedical Sciences, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Oral Surg Oral Med Oral Pathol Oral Radiol. 2023 Oct;136(4):518-528. doi: 10.1016/j.oooo.2023.05.014. Epub 2023 May 22.
The objective of this study was to evaluate the effects of spatial resolution and the application of enhancement filters in the diagnosis of simulated furcation defects and image quality with intraoral radiographs.
Periapical images were acquired with photostimulable phosphor plates of molars in dry skulls (n = 8) and mandibles (n = 10) with 4 stages of furcation defect simulation. The plates were scanned in fast scan and high resolution modes to produce different spatial resolutions. Four image filters were applied. Six observers scored the detection of furcation defects. Mean values of area under the curve in receiver operating characteristic evaluation, accuracy, sensitivity, and specificity were calculated. Mean gray value (brightness), noise, and contrast-to-noise ratio (CNR) were calculated for enamel, dentin, and alveolar bone to evaluate image quality. Analysis of variance compared the values between the different spatial resolutions and filters. The significance of difference was established at P < .05.
There were no significant differences in overall diagnostic values comparing image spatial resolutions and filters. Diagnostic outcomes were significantly better for the largest defects than the smallest lesions but were generally poor in detecting lesions. All structures showed greater brightness in high resolution. . Noise was greater in all structures with all enhancement filters except inversion. Dentin and alveolar bone exhibited more noise and lower CNR in high resolution.
Varying spatial resolution and applying enhancement filters did not significantly affect the diagnosis of furcation defects.
本研究旨在评估空间分辨率的影响以及增强滤波器在诊断模拟叉状缺陷和口腔内射线照片的图像质量方面的应用。
用干颅骨(n=8)和下颌骨(n=10)上的光激励磷光体板获取磨牙的根尖影像,在 4 个叉状缺陷模拟阶段进行。将这些板以快速扫描和高分辨率模式进行扫描,以产生不同的空间分辨率。应用了 4 种图像滤波器。6 位观察者对叉状缺陷的检测进行评分。计算受试者工作特征评价中曲线下面积的平均值、准确性、敏感性和特异性。计算釉质、牙本质和牙槽骨的平均灰度值(亮度)、噪声和对比噪声比(CNR),以评估图像质量。方差分析比较了不同空间分辨率和滤波器之间的数值。当 P <.05 时,差异具有统计学意义。
在比较图像空间分辨率和滤波器时,总体诊断值没有显著差异。与最小病变相比,最大病变的诊断结果明显更好,但总体上病变的检出率较差。所有结构在高分辨率下都显示出更高的亮度。除反转外,所有增强滤波器在所有结构中都增加了噪声。在高分辨率下,牙本质和牙槽骨的噪声更大,CNR 更低。
空间分辨率的变化和增强滤波器的应用并没有显著影响叉状缺陷的诊断。