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超声波灰度比的预测值用于识别恶性甲状腺结节的超声波灰度比

Kaimei Lian¹, Teng Lin¹

¹Department of Ultrasound, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.

Frontiers in endocrinology

|September 15, 2025

概括

超声波灰度比 (UGSR) 有效地区分良性与恶性甲状腺结节,具有高特异性. 将UGSR与其他特征结合起来,可能会提高甲状腺癌的诊断准确度.

科学领域:

放射学放射学是一门学科.
在瘤学瘤学.
医疗成像医学成像

背景情况:

甲状腺结节很常见,区分良性和恶性是适当管理的关键.
传统的超声波 (US) 功能可能是主观的,需要更客观的诊断工具.

研究的目的:

评估超声波灰度比 (UGSR) 在区分良性和恶性甲状腺结节的临床实用性.
评估UGSR的诊断性能,并将其与已建立的美国特征进行比较.

主要方法:

对125个甲状腺结节进行回顾性分析,并得到了他的病理学确认.
使用ImageJ软件计算UGSR作为结节与周围围膜灰度比.
进行后勤回归和ROC曲线分析以确定诊断有效性.

主要成果:

在良性和恶性结节之间,UGSR有显著的差异 (p < 0.001).
UGSR,不规则的边缘,高于宽的方向和微化是恶性瘤的独立预测因素.
UGSR的AUC为0.852,具有63.83%的灵敏度和92.31%的特异性.

结论:

在区分恶性与良性甲状腺结节方面,UGSR显示出高的特异性和可靠性.
在甲状腺结节的评估中,UGSR是传统超声波的有价值的定量补充.
将UGSR与其他成像特征相结合可能会提高诊断准确度,特别是提高灵敏度.

关键词:

中国甲状腺成像报告和数据系统图像J图像J图像J图像J图像恶性甲状腺结节甲状腺结节甲状腺结节超声波灰度比率的比率.

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