Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea.
Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Eur Radiol. 2020 Feb;30(2):789-797. doi: 10.1007/s00330-019-06473-5. Epub 2019 Nov 6.
To develop a nomogram and validate its use for the intraoperative evaluation of nodal metastasis using shear-wave elastography (SWE) elasticity values and nodal size METHODS: We constructed a nomogram to predict metastasis using ex vivo SWE values and ultrasound features of 228 axillary LNs from fifty-five patients. We validated its use in an independent cohort comprising 80 patients. In the validation cohort, a total of 217 sentinel LNs were included.
We developed the nomogram using the nodal size and elasticity values of the development cohort to predict LN metastasis; the area under the curve (AUC) was 0.856 (95% confidence interval (CI), 0.783-0.929). In the validation cohort, 15 (7%) LNs were metastatic, and 202 (93%) were non-metastatic. The mean stiffness (23.54 and 10.41 kPa, p = 0.005) and elasticity ratio (3.24 and 1.49, p = 0.028) were significantly higher in the metastatic LNs than those in the non-metastatic LNs. However, the mean size of the metastatic LNs was not significantly larger than that of the non-metastatic LNs (8.70 mm vs 7.20 mm, respectively; p = 0.123). The AUC was 0.791 (95% CI, 0.668-0.915) in the validation cohort, and the calibration plots of the nomogram showed good agreement.
We developed a well-validated nomogram to predict LN metastasis. This nomogram, mainly based on ex vivo SWE values, can help evaluate nodal metastasis during surgery.
• A nomogram was developed based on axillary LN size and ex vivo SWE values such as mean stiffness and elasticity ratio to easily predict axillary LN metastasis during breast cancer surgery. • The constructed nomogram presented high predictive performance of sentinel LN metastasis with an independent cohort. • This nomogram can reduce unnecessary intraoperative frozen section which increases the surgical time and costs in breast cancer patients.
开发一种诺莫图并验证其在术中使用剪切波弹性成像(SWE)弹性值和淋巴结大小评估淋巴结转移中的应用。
我们构建了一个诺莫图,用于预测 55 名患者 228 个腋窝淋巴结的体外 SWE 值和超声特征的转移。我们在包含 80 名患者的独立队列中验证了其用途。在验证队列中,共纳入 217 个前哨淋巴结。
我们使用开发队列的淋巴结大小和弹性值开发了诺莫图来预测 LN 转移;曲线下面积(AUC)为 0.856(95%置信区间(CI),0.783-0.929)。在验证队列中,有 15 个(7%)淋巴结转移,202 个(93%)淋巴结未转移。转移性淋巴结的平均硬度(23.54 和 10.41 kPa,p = 0.005)和弹性比(3.24 和 1.49,p = 0.028)明显高于非转移性淋巴结。然而,转移性淋巴结的平均大小并不明显大于非转移性淋巴结(分别为 8.70 mm 和 7.20 mm,p = 0.123)。验证队列中的 AUC 为 0.791(95%CI,0.668-0.915),诺莫图的校准图显示出良好的一致性。
我们开发了一种经过良好验证的诺莫图来预测 LN 转移。该诺莫图主要基于腋窝淋巴结的大小和体外 SWE 值,如平均硬度和弹性比,可以帮助评估乳腺癌手术期间的淋巴结转移。
基于腋窝淋巴结大小和体外 SWE 值(如平均硬度和弹性比),开发了一种诺莫图,用于预测乳腺癌手术期间腋窝淋巴结转移,以帮助预测腋窝淋巴结转移。
该诺莫图在独立队列中具有较高的前哨淋巴结转移预测性能。
该诺莫图可以减少乳腺癌患者术中不必要的冷冻切片,从而增加手术时间和成本。