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• Clinical Article •
Diagnostic value of radiomics for axillary lymph node metastasis in breast cancer: A Meta-analysis
QIAN Jifang  ZHU Dalin  ZHANG Xuxia  ZHAI Xiaojing  CAO Shan  SUN Bixia 

Cite this article as: QIAN J F, ZHU D L, ZHANG X X, et al. Diagnostic value of radiomics for axillary lymph node metastasis in breast cancer: A Meta-analysis[J]. Chin J Magn Reson Imaging, 2025, 16(3): 44-50. DOI:10.12015/issn.1674-8034.2025.03.007.


[Abstract] Objective To evaluate the performance of radiomics in predicting axillary lymph node metastasis (ALNM) including sentinel lymph node metastasis (SLNM) in breast cancer by Meta analysis.Materials and Methods A systematic search was conducted in the electronic databases PubMed, Embase, Web of Science, Cochrane Library, CNKI, and Wanfang database for relevant studies published between January 1, 2018 and February 23, 2024. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) was used to assess the quality of the included studies. The diagnostic odds ratio (DOR), sensitivity, specificity, and summary receiver operating characteristic (SROC) curve were calculated to evaluate the diagnostic value of imagingomics for ALNM, including SLNM, in breast cancer patients. Spearman correlation coefficients were calculated to assess threshold effects, and meta-regression and subgroup analyses were performed to explore possible causes of heterogeneity.Results A total of 22 studies involving 4230 patients were included in the meta-analysis, summarizing the overall diagnostic accuracy of imaging-omics detection of ALNM, including SLNM: DOR was 34 [95% confidence interval (CI): 21 to 54]; sensitivity 87% (95% CI: 85% to 89%); specificity 76% (95% CI: 75% to 78%); The area under the curve (AUC) of the SROC curve was 0.92, and Q* was 0.86; The positive likelihood ratio was 5.30 (95% CI: 3.70 to 7.60); The negative likelihood ratio was 0.17 (95% CI: 0.13 to 0.22). Meta-analysis showed that there was significant heterogeneity among the included studies, and there was no evidence of threshold effect.Conclusions Our results suggest that imagingomics has good diagnostic performance in predicting ALNM, including SLNM, in breast cancer. Therefore, we recommend this method as a clinical method for preoperative identification of ALNM and SLNM.
[Keywords] breast cancer；axillary lymph node metastasis；radiomics；Meta-analysis；magnetic resonance imaging

QIAN Jifang   ZHU Dalin   ZHANG Xuxia   ZHAI Xiaojing   CAO Shan   SUN Bixia*  

Medical Imaging Center, Gansu Provincial Matemity and Child-care Hospital, Lanzhou 730050, China

Corresponding author: SUN B X, E-mail: 458777329@qq.com

Conflicts of interest   None.

Received  2024-07-10
Accepted  2024-12-10
DOI: 10.12015/issn.1674-8034.2025.03.007
Cite this article as: QIAN J F, ZHU D L, ZHANG X X, et al. Diagnostic value of radiomics for axillary lymph node metastasis in breast cancer: A Meta-analysis[J]. Chin J Magn Reson Imaging, 2025, 16(3): 44-50. DOI:10.12015/issn.1674-8034.2025.03.007.

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