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研究キーワードmaxillofacial imaging・CBCT imaging・neck lymph node ultrasonography・texture analysis・giant cell tumor of bone・temporomandibular symptoms

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• Kawashima Yusuke, Abe Hiroshi, Hagimoto Aya, Miyakoshi Masaaki, Kawabata Yoshihiro, Indo Hiroko, Tanaka Tatsuro2025 · 記述言語： 英語 出版者・発行元： John Wiley & Sons Australia, Ltd
• Kawashima Yusuke, Hagimoto Aya, Abe Hiroshi, Miyakoshi Masaaki, Kawabata Yoshihiro, Indo Hiroko, Tanaka Tatsurou2025 · 記述言語： 英語 出版者・発行元： エルゼビア・ジャパン(株)
• 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
• Yusuke Kawashima, Hiroshi Abe, Aya Hagimoto, Masaaki Miyakoshi, Yoshihiro Kawabata, Hiroko Indo, Tatsurou Tanaka2024 · 担当区分： 責任著者

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