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| 基于超声造影参数的Logistic回归模型预测浸润性 乳腺癌Ki-67表达水平的临床价值 |
| 王玉敏,红华,梁丹艳,王芳,李静,孙冉,武雯雯,高慧敏 |
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| (内蒙古自治区人民医院;研究方向：腹部及浅表器官超声诊断;内蒙古呼和浩特市赛罕区昭乌达路20号内蒙古自治区人民医院) |
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| 摘要: |
| 目的 探讨超声造影参数与浸润性乳腺癌Ki-67高低表达的相关性。方法 回顾性分析2019年10月～2022年10月我院行手术治疗的66例浸润性乳腺癌患者二维超声及造影信息。根据肿瘤手术病理 Ki-67表达情况分为Ki-67高表达组和Ki-67低表达组。比较两组病灶二维特点、超声造影剂到达时间(AT)、达峰时间(TTP)、峰值强度(PI)、上升支斜率(AS)、峰值减半时间( DT/2)、平均通过时间(MTT)、曲线下面积(AUC)的差异。对差异有统计学意义的超声指标采用logistic回归分析,建立Ki-67高表达的预测模型并分析其预测性能。结果 Ki-67高表达组病灶内血流分级(BFG)II-III占比高于Ki-67低表达组(P＜0.05)；造影参数AT、PI、AS在Ki-67高低表达组中比较具有统计学意义(P＜0.05)。多因素分析结果显示：AT、PI是影响Ki-67的独立危险因素。以此为基础构建了预测Ki-67高表达组的模型：Logistic(P)=1.335- 0.937*AT+0.281*PI+2.834*BFG(Ⅱ-Ⅲ),该模型对判断Ki-67是否高表达具有较高参考价值,灵敏度、特异度分别为87.18%、88.89%。结论 超声造影参数联合血流分级模型可为无创评估浸润性乳腺癌的肿瘤细胞增殖程度及肿瘤血管生成提供一定的影像学依据。 |
| 关键词: 浸润性乳腺癌 超声造影 时间-强度曲线 Ki-67 |
| DOI： |
| 投稿时间：2023-03-15修订日期：2023-04-17 |
| 基金项目:]内蒙古自治区科技计划项目(项目编号：2021GG0125)；内蒙古医科大学科技百万工程联合项目(项目编号：KD2020KJBW(LH)044)；内蒙古自治区科技计划项目(项目编号：2020GG0086) |
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| Study on the predictive value of contrast-enhanced ultrasonography for high Ki-67 expression in invasive breast cancer |
| wangyumin,honghua,liangdanyan,wangfang,lijing,sunran,wuwenwen,gaohuimin |
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| Abstract: |
| Objective To investigate the correlation between contrast-enhanced ultrasound parameters and the high expression of Ki-67 in invasive breast cancer. Methods 66 patients with invasive breast cancer were analyzed retrospectively from October 2019 to October 2022. The patients were divided into two groups: high Ki-67 expression and low Ki-67 expression group. There were compared between the two groups,include the Two Dimensional (2D) characteristics, Arrival Time (AT) , Time To Peak (TTP) , Peak Intensity (PI) , Ascending Slope (AS) , Descending Time/2(DT/2) , Mean Transit Time (MTT) and Area Under Curve (AUC). Logistic regression was used to analyze the ultrasound indexes with statistical significance, and the prediction model of Ki-67 High expression was established and its predictive performance was analyzed. Results A model for predicting Ki-67 high expression group was established : Logistic (p) = 1.335-0.937 * AT + 0.281 * PI + 2.834 * blood flow grade(Ⅱ-Ⅲ). Conclusion CEUS parameters combined with blood flow grading model can provide some imaging evidence for noninvasive assessment of tumor cell proliferation and tumor angiogenesis in invasive breast cancer. |
| Key words: invasive breast cancer contrast-enhanced ultrasound time-intensity curve Ki-67 |
