锥形束计算机断层扫描鉴别牙源性根尖周囊肿和肉芽肿的评价

Sharmin Aktar Soma, M. M. Akhtar, S. Begum, M. A. Haque, Mahmuda Akter, Showkat Mamun, Km Ahsan Kabir
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引用次数: 0

摘要

背景:锥束计算机断层扫描是检测牙源性周围囊肿和肉芽肿的有效诊断工具。目的:本研究的目的是评估CBCT诊断根尖周围囊肿和肉芽肿的准确性。方法:本横断面研究于2017年2月至2017年11月进行。按照纳入和排除标准,选择在达卡牙科学院医院和Bangabandhu Seikh Mujib医科大学口腔颌面外科会诊的连续患者进行根尖周感染。只有那些显示最小5mm大小的根尖周围病变的患者被纳入研究对象。口内根尖周x线片显示的标准是根尖透光度为5mm,边缘呈皮质状,牙根移位。对这些患者进行CBCT成像。CBCT表现如下:受累牙尖部位置,皮质边界清晰,形状弯曲或圆形,病变内部结构透光,相邻牙根移位吸收,轮廓弯曲,皮质板穿孔。取组织病理标本进行显微检查。组织病理学检查结果与CBCT结果相关。结果:50例患者中,囊肿41例(82.0%),肉芽肿9例(18.0%)。术后组织病理学显示41例中37例为囊肿,4例为肉芽肿。9例肉芽肿中3例为囊肿,6例为肉芽肿。在本研究中,我们发现PPV为90.2439,NPV为66.66。通过计算总TP、总TN和总人口来衡量诊断的准确性。准确率为86%。结论:锥形束ct对根尖周囊肿和肉芽肿的诊断具有较高的准确性。孟加拉国国家神经科学研究所杂志,2022年7月;8(2):171-174
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Cone-beam Computed Tomography to differentiate Odontogenic Periapical Cysts and Granulomas
Background: Cone-beam Computed Tomography is a useful diagnostic tools for the detection of odontogenic peripheral cysts and granulomas. Objective: The purpose of the present study was to assess the accuracy of CBCT for diagnosing periapical cyst and granuloma. Methodology: This cross-sectional study was conducted from February 2017 to November 2017. Following inclusion and exclusion criteria consecutive patients who were consult in the department of oral and maxillofacial surgery of Dhaka Dental College Hospital and Bangabandhu Seikh Mujib Medical University for periapical infection was selected. Only those patients showing a periapical lesion of minimum 5 mm size was included in the study subject. Intra-oral periapical radiograph showing criteria was presence of apical radiolucency of 5 mm, corticated borders and displacements of roots. The CBCT images were done for those patients. The following features were documented on CBCT like location at the apex of involved tooth, well defined corticated border, shape is curved or circular, internal structure of lesion is radiolucent, displacement and resorption of the roots of adjacent teeth with a curved outline and perforation of cortical plate. Histopathological specimens were obtained for microscopic examination. The findings of histopathological examinations were correlated with the findings of CBCT. Results: Out of 50 subjects, 41(82.0%) subjects were diagnosed as cyst and 9(18.0%) subjects were as granuloma. Postoperative histopathology revealed 37 out of 41 were cysts and 4 were granulomas. Out of 9 granulomas 3 were cysts and 6 were granulomas. In this study we found the PPV 90.2439 and NPV 66.66. Diagnostic Accuracy was measured by calculating TP, TN and total population. The accuracy was 86%. Conclusion: In conclusion Cone-beam Computed Tomography has high accuracy of CBCT for diagnosing periapical cyst and granuloma. Journal of National Institute of Neurosciences Bangladesh, July 2022;8(2):171-174
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