在II型TIC乳腺病变中分析动态对比度增强的T1图像参数
Jimei Jiang1, Weibin Ma1, Ming Li1
1Department of Radiology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Frontiers in oncology
|August 28, 2025
概括
动态对比增强T1图像 (DCE-T1WI) 可以帮助区分乳腺病变. 半定量参数,特别是达到峰值的时间 (Tp),有助于对II型时间强度曲线 (TIC) 进行更好的良性/恶性诊断.
科学领域:
- 放射学
- 医学成像
- 癌症学
背景情况:
- 在动态对比增强T1图像 (DCE-T1WI) 中的III型时间强度曲线 (TIC) 表明恶性,而I型TIC则表明良性.
- 乳腺病变与II型TIC的分类仍然存在争议.
- 本研究的重点是分析DCE-T1WI对II型TIC的半定量参数.
研究的目的:
- 在II型TIC乳腺病变患者中分析DCE- T1WI的半定量参数.
- 为II型TICs的病变进行良性/恶性分类而开发名图.
主要方法:
- 对II型TIC乳腺病变患者进行了回顾性数据收集.
- 分析包括信号强度和增强率在内的半定量参数.
- 在特征选择中应用单变量和多变量逻辑回归.
- 开发和验证病变分类的名录.
主要成果:
- 分析了98名II型TIC乳腺病变的女性患者 (53名是恶性的).
- 达到峰值的时间 (Tp) 是最重要的预测因素 (OR=0.95, p=0.014).
- 一个包含 Swi,SIp,SIwi,SIpre,Tp,ERp 和 Sp 的 nomogram 获得了 0. 862 的 AUC,准确度为 79. 6%.
结论:
- DCE-T1WI的半定量参数显示了II型TIC的良性和恶性病变之间的差异.
- Tp是区分病变状态的一个重要指标.
- DCE-T1WI半定量参数可以有效预测II型TIC乳腺病变的恶性病变.
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