AI Article Synopsis

  • - A nomogram was created to predict lymph node (LN) metastasis during breast cancer surgery using shear-wave elastography (SWE) and nodal size from 228 axillary LNs in a study of 55 patients, and validated in an independent cohort of 80 patients with 217 sentinel LNs.
  • - The nomogram displayed strong predictive ability with an AUC of 0.856 in the development group and 0.791 in the validation group; metastatic LNs exhibited significantly higher stiffness and elasticity ratios compared to non-metastatic LNs, though their sizes were not significantly different.
  • - This tool could help streamline procedures by decreasing the need for intraoperative frozen sections, ultimately reducing surgical time and

Article Abstract

Objective: 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.

Results: 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.

Conclusions: 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.

Key Points: • 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957551PMC
http://dx.doi.org/10.1007/s00330-019-06473-5DOI Listing

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