Department of Radiology, The first people's Hospital of Kashi area, No.120, Yingbin avenue, Kashi, Xinjiang Uygur Autonomous Region, People's Republic of China.
BMC Cancer. 2020 Feb 3;20(1):94. doi: 10.1186/s12885-020-6578-0.
Lymphovascular invasion (LVI) is a vital risk factor for prognosis across cancers. We aimed to develop a scoring system for stratifying LVI risk in patients with breast cancer.
A total of 301 consecutive patients (mean age, 49.8 ± 11.0 years; range, 29-86 years) with breast cancer confirmed by pathological reports were retrospectively evaluated at the authors' institution between June 2015 and October 2018. All patients underwent contrast-enhanced Magnetic Resonance Imaging (MRI) examinations before surgery. MRI findings and histopathologic characteristics of tumors were collected for analysis. Breast LVI was confirmed by postoperative pathology. We used a stepwise logistic regression to select variables and two cut-points were determined to create a three-tier risk-stratification scoring system. The patients were classified as having low, moderate and high probability of LVI. The area under the receiver operating characteristic curve (AUC) was used to evaluate the discrimination ability of the scoring system.
Tumor margins, lobulation sign, diffusion-weighted imaging appearance, MRI-reported axillary lymph node metastasis, time to signal intensity curve pattern, and HER-2 were selected as predictors for LVI in the point-based scoring system. Patients were considered at low risk if the score was < 3.5, moderate risk if the score was 3.5 to 6.0, and high risk if the score was ≥6.0. LVI risk was segmented from 0 to 100.0% and was positively associated with an increase in risk scores. The AUC of the scoring system was 0.824 (95% confidence interval [CI]: 0.776--0.872).
This study shows that a simple and reliable score-based risk-stratification system can be practically used in stratifying the risk of LVI in breast cancer.
淋巴血管侵犯(LVI)是癌症预后的重要危险因素。我们旨在开发一种评分系统,以分层乳腺癌患者的 LVI 风险。
回顾性分析了作者所在机构 2015 年 6 月至 2018 年 10 月期间经病理报告确诊的 301 例连续乳腺癌患者(平均年龄 49.8±11.0 岁;年龄范围 29-86 岁)的资料。所有患者均在术前接受了对比增强磁共振成像(MRI)检查。收集 MRI 发现和肿瘤的组织病理学特征进行分析。乳腺癌 LVI 通过术后病理证实。我们使用逐步逻辑回归选择变量,并确定了两个切点来创建一个三层次风险分层评分系统。患者被分为 LVI 低、中、高概率组。使用接收者操作特征曲线下面积(AUC)评估评分系统的鉴别能力。
肿瘤边缘、分叶征、弥散加权成像表现、MRI 报告的腋窝淋巴结转移、时间信号强度曲线模式和 HER-2 被选为基于点的评分系统中 LVI 的预测因子。如果评分<3.5,则患者被认为处于低危状态;评分在 3.5 至 6.0 之间,则为中危;评分≥6.0,则为高危。LVI 风险从 0 到 100.0%分段,与风险评分的增加呈正相关。评分系统的 AUC 为 0.824(95%置信区间[CI]:0.776-0.872)。
本研究表明,一种简单可靠的基于评分的风险分层系统可实际用于分层乳腺癌的 LVI 风险。