Suppr超能文献

使用锥形束计算机断层扫描图像纹理分析鉴别根尖肉芽肿与根端囊肿

Differentiation of periapical granuloma from radicular cyst using cone beam computed tomography images texture analysis.

作者信息

De Rosa Catharina Simioni, Bergamini Mariana Lobo, Palmieri Michelle, Sarmento Dmitry José de Santana, de Carvalho Marcia Oliveira, Ricardo Ana Lúcia Franco, Hasseus Bengt, Jonasson Peter, Braz-Silva Paulo Henrique, Ferreira Costa Andre Luiz

机构信息

Department of Stomatology, School of Dentistry, University of São Paulo, São Paulo, Brazil.

Department of Physics, Institute of Technology, Paulista University (UNIP), São Paulo, Brazil.

出版信息

Heliyon. 2020 Oct 9;6(10):e05194. doi: 10.1016/j.heliyon.2020.e05194. eCollection 2020 Oct.

Abstract

OBJECTIVE

This study aimed to investigate the use of texture analysis for characterization of radicular cysts and periapical granulomas and to assess its efficacy to differentiate between both lesions with histological diagnosis.

METHODS

Cone beam computed tomography (CBCT) images were obtained from 19 patients with 25 periapical lesions (14 radicular cysts and 11 periapical granulomas) confirmed by biopsy. Regions of interest were created in the lesions from which 11 texture parameters were calculated. Spearman's correlation analysis was performed and adjusted with Benjamini-Hochberg false discovery rate procedure (FDR <0.005).

RESULTS

The texture parameters used to differentiate the lesions were assessed by using a receiver operating characteristic analysis. Five texture parameters were predictive of lesion differentiation for eight positions: angular second moment; sum of squares; sum of average; contrast; correlation.

CONCLUSION

Texture analysis of CBCT scans distinguishes radicular cysts from periapical granulomas and can be a promising diagnostic tool for periapical lesions.

CLINICAL SIGNIFICANCE

Texture analysis can be used in diagnostic and treatment monitoring to provide supplementary information.

摘要

目的

本研究旨在探讨纹理分析在根尖囊肿和根尖肉芽肿特征描述中的应用,并评估其在组织学诊断中区分这两种病变的效能。

方法

从19例经活检确诊为25个根尖周病变(14个根尖囊肿和11个根尖肉芽肿)的患者中获取锥形束计算机断层扫描(CBCT)图像。在病变中创建感兴趣区域,并计算11个纹理参数。进行Spearman相关性分析,并采用Benjamini-Hochberg错误发现率程序进行校正(FDR<0.005)。

结果

通过使用受试者操作特征分析评估用于区分病变的纹理参数。五个纹理参数可预测八个位置的病变分化:角二阶矩;平方和;平均和;对比度;相关性。

结论

CBCT扫描的纹理分析可区分根尖囊肿和根尖肉芽肿,可能成为根尖周病变的一种有前景的诊断工具。

临床意义

纹理分析可用于诊断和治疗监测,以提供补充信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7796/7560585/3776a781663f/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验