背景:异常子宫出血(AUB)影响了很大一部分女性,特别是在初潮和更年期左右。虽然超声检查是AUB的主要诊断工具,国际子宫内膜肿瘤分析(IETA)评分系统等技术提高了子宫内膜异常的诊断准确性.IETA提供了一种评估子宫内膜特征的标准化方法,有助于区分良性和恶性病变。
方法:本研究将IETA评分系统应用于50名出现AUB的女性的超声评估。该研究评估了各种子宫内膜特征,包括厚度,回声,中线外观,连接规律性,和血管模式。分析数据以将IETA评分与组织病理学发现相关联,并比较良性和恶性病变的超声特征。
结果:研究发现,子宫内膜特征不均匀和中线外观不规则在恶性病变中更为常见。具体来说,子宫内膜-子宫肌层连接中断或不规则,没有明亮的边缘,更高的颜色分数,复杂的血管模式与恶性肿瘤显著相关。与良性病例相比,恶性病例的平均子宫内膜厚度明显更高,具有统计学上的显著差异。最常见的IETA得分是7、12和13。
结论:将IETA评分系统纳入超声评估可增强对子宫内膜异常的检测,改善良性和恶性病变之间的区别。这种方法为诊断和管理AUB提供了一个可靠的框架,有可能减少对侵入性手术的需求,并促进更好的临床决策。
BACKGROUND: Abnormal uterine bleeding (AUB) affects a significant proportion of women, particularly around the ages of menarche and menopause. While ultrasonography is a primary diagnostic tool for AUB, techniques like the International Endometrial Tumor Analysis (IETA) scoring system have enhanced diagnostic accuracy for endometrial abnormalities. IETA provides a standardized approach to evaluating endometrial features, which aids in distinguishing benign from malignant lesions.
METHODS: This study applied the IETA scoring system to the ultrasound evaluation of 50 women presenting with AUB. The study assessed various endometrial characteristics, including thickness, echogenicity, midline appearance, junction regularity, and vascular patterns. Data were analyzed to correlate IETA scores with histopathological findings and to compare the ultrasound features of benign and malignant lesions.
RESULTS: The study found that non-uniform endometrial characteristics and irregular midline appearances were more common in malignant lesions. Specifically, interrupted or irregular endometrial-myometrial junctions, absence of the bright edge, higher color scores, and complex vascular patterns were significantly associated with malignancy. Mean endometrial thickness was notably higher in malignant cases compared to benign ones, with a statistically significant difference. The most frequent IETA scores were 7, 12, and 13.
CONCLUSIONS: Integrating the IETA scoring system into ultrasound evaluation enhances the detection of endometrial abnormalities, improving the differentiation between benign and malignant lesions. This approach provides a reliable framework for diagnosing and managing AUB, potentially reducing the need for invasive procedures and facilitating better clinical decision-making.