Kawashima Y., Hagimoto A., Abe H., Miyakoshi M., Kawabata Y., Indo H., Tanaka T. . Using texture analysis of ultrasonography images of neck lymph nodes to differentiate metastasis to non-metas2024 · 記述言語: 日本語 掲載種別: 研究論文(学術雑誌) 出版者・発行元: Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology Object: To differentiate between metastatic neck nodes and non-metastatic neck nodes in oral maxillary gingival squamous cell carcinoma, textural analysis of these lymph nodes in ultrasound images was performed in this study. Methods: Twenty five metastatic neck nodes and 28 non-metastatic neck nodes were enrolled in this study. Seventy eight texture characteristics were retrieved from the US images using the LIFEx software. The Mann Whitney U test was measurably utilized to survey on the off chance that there was a measurably noteworthy distinction within the textural characteristics between metastatic neck nodes and non-metastatic neck nodes. The capacity of the surface highlights to recognize between metastatic neck nodes and non-metastatic neck nodes was illustrated utilizing the Receiver Operating Characteristic analysis curves (ROC). Youden's J statistic was used to determine the cut-off positions in each ROC curve that maximized sensitivity and specificity. Results: Zone size non uniformity (ZSNU) highlight appeared the foremost noteworthy contrast between these nodes (p < 0.001). Strength had Area Under the Curve (AUC) of 0.811, specificity of 0.821 and sensitivity of 0.8, when measured at the cutoff value of 896.344. Conclusions: Our results come about uncovered that quality highlight may be the finest surface highlight to distinguish from non-metastatic neck nodes and to anticipate metastatic neck nodes in oral maxillary gingival squamous cell carcinoma. DOI: 10.1016/j.ajoms.2024.07.013 Scopus researchmap