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Multicenter Study
. 2023 Apr;19(2):e71-e79.
doi: 10.1111/ajco.13781. Epub 2022 May 20.

Gail model and fifth edition of ultrasound BI-RADS help predict axillary lymph node metastasis in breast cancer-A multicenter prospective study

Lu-Ying Gao  1 , Hai-Tao Ran  2 , You-Bin Deng  3 , Bao-Ming Luo  4 , Ping Zhou  5 , Wu Chen  6 , Yu-Hong Zhang  7 , Jian-Chu Li  1 , Hong-Yan Wang  1 , Yu-Xin Jiang  1
Affiliations
Multicenter Study

Gail model and fifth edition of ultrasound BI-RADS help predict axillary lymph node metastasis in breast cancer-A multicenter prospective study

Lu-Ying Gao et al. Asia Pac J Clin Oncol. 2023 Apr.

Abstract

Rationale and objectives: We aim to assess the performance of the Gail model and the fifth edition of ultrasound BI-RADS (Breast Imaging Reporting and Data System) in breast cancer for predicting axillary lymph node metastasis (ALNM).

Materials and methods: We prospectively studied 958 female patients with breast cancer between 2018 and 2019 from 35 hospitals in China. Based on B-mode, color Doppler, and elastography, radiologists classified the degree of suspicion based on the fifth edition of BI-RADS. Individual breast cancer risk was assessed with the Gail model. The association between the US BI-RADS category and the Gail model in terms of ALNM was analyzed.

Results: We found that US BI-RADS category was significantly and independently associated with ALNM (P < 0.001). The sensitivity, specificity, and accuracy of BI-RADS category 5 for predicting ALNM were 63.6%, 71.6%, and 68.6%, respectively. Combining the Gail model with the BI-RADS category showed a significantly higher sensitivity than using the BI-RADS category alone (67.8% vs. 63.6%, P < 0.001). The diagnostic accuracy of the BI-RADS category combined with the Gail model was better than that of the Gail model alone (area under the curve: 0.71 vs. 0.50, P < 0.001).

Conclusion: Based on the conventional ultrasound and elastography, the fifth edition of ultrasound BI-RADS category could be used to predict the ALNM of breast cancer. ALNM was likely to occur in patients with BI-RADS category 5. The Gail model could improve the diagnostic sensitivity of the US BI-RADS category for predicting ALNM in breast cancer.

Keywords: Breast Imaging-Reporting and Data System (BI-RADS); Gail model; axillary lymph node metastasis; breast cancer; elastography.

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References

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