Barioni Elaine Dinardi, Lopes Sérgio Lúcio Pereira de Castro, Silvestre Pedro Ribeiro, Yasuda Clarissa Lin, Costa Andre Luiz Ferreira
Postgraduate Program in Dentistry, Cruzeiro do Sul University (UNICSUL), São Paulo 1506-000, SP, Brazil.
Department of Diagnosis and Surgery, São José dos Campos School of Dentistry, São Paulo State University (UNESP), São José dos Campos 2245-000, SP, Brazil.
J Imaging. 2024 Oct 22;10(11):263. doi: 10.3390/jimaging10110263.
This narrative review explores texture analysis as a valuable technique in dentomaxillofacial diagnosis, providing an advanced method for quantification and characterization of different image modalities. The traditional imaging techniques rely primarily on visual assessment, which may overlook subtle variations in tissue structure. In contrast, texture analysis uses sophisticated algorithms to extract quantitative information from imaging data, thus offering deeper insights into the spatial distribution and relationships of pixel intensities. This process identifies unique "texture signatures", serving as markers for accurately characterizing tissue changes or pathological processes. The synergy between texture analysis and radiomics allows radiologists to transcend traditional size-based or semantic descriptors, offering a comprehensive understanding of imaging data. This method enhances diagnostic accuracy, particularly for the assessment of oral and maxillofacial pathologies. The integration of texture analysis with radiomics expands the potential for precise tissue characterization by moving beyond the limitations of human eye evaluations. This article reviews the current trends and methodologies in texture analysis within the field of dentomaxillofacial imaging, highlights its practical applications, and discusses future directions for research and dental clinical practice.
本叙述性综述探讨了纹理分析作为牙颌面诊断中一种有价值的技术,为不同图像模态的量化和特征描述提供了一种先进方法。传统成像技术主要依赖视觉评估,这可能会忽略组织结构中的细微变化。相比之下,纹理分析使用复杂算法从成像数据中提取定量信息,从而更深入地了解像素强度的空间分布和关系。这一过程识别出独特的“纹理特征”,作为准确表征组织变化或病理过程的标志物。纹理分析与放射组学之间的协同作用使放射科医生能够超越传统的基于大小或语义的描述符,全面理解成像数据。这种方法提高了诊断准确性,特别是在口腔颌面病理学评估方面。纹理分析与放射组学的整合通过突破人眼评估的局限性,扩大了精确组织特征描述的潜力。本文回顾了牙颌面成像领域纹理分析的当前趋势和方法,突出了其实际应用,并讨论了研究和牙科临床实践的未来方向。