Volume 23 Issue 6
Jun.  2025
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YANG Yan, ZHAO Yunian, MAO Changfei, TANG Xiaowen, LI Dongxue. Analysis of the diagnostic efficacy of digital breast tomosynthesis in patients with early-stage breast cancer[J]. Chinese Journal of General Practice, 2025, 23(6): 1004-1007. doi: 10.16766/j.cnki.issn.1674-4152.004053
Citation: YANG Yan, ZHAO Yunian, MAO Changfei, TANG Xiaowen, LI Dongxue. Analysis of the diagnostic efficacy of digital breast tomosynthesis in patients with early-stage breast cancer[J]. Chinese Journal of General Practice, 2025, 23(6): 1004-1007. doi: 10.16766/j.cnki.issn.1674-4152.004053

Analysis of the diagnostic efficacy of digital breast tomosynthesis in patients with early-stage breast cancer

doi: 10.16766/j.cnki.issn.1674-4152.004053
Funds:

 82204524

  • Received Date: 2024-11-13
    Available Online: 2025-09-04
  •   Objective  To investigate the diagnostic efficacy of digital breast tomosynthesis (DBT) in detecting early-stage breast cancer and compare its efficacy with that of magnetic resonance imaging (MRI).  Methods  A retrospective analysis was conducted on 50 patients diagnosed with early-stage breast cancer between January 2023 and December 2023. All patients underwent imaging examination, with complete and high-quality imaging data prior to pathological examination. The pathological findings were used as the gold standard to compare detection accuracy, sensitivity, and specificity DBT and MRI, as well as breast cancer staging consistency between imaging and pathology.  Results  The rates of missed diagnoses, misdiagnosis, and accuracy in detecting breast lesions for DBT were 4.00% (2/50), 6.00% (3/50), and 90.00% (45/50), respectively. Compared with MRI [2.00% (1/50), 4.00% (2/50), and 94.00% (47/50)], these differences were not statistically significant. Based on the pathological examination results as the gold standard, there was no statistically significant difference in the diagnostic results of DBT for breast cancer type classification. A total of 87 breast masses (54 malignant and 33 benign) were identified in 50 patients with early-stage breast cancer. DBT demonstrated lower diagnostic sensitivity and negative predictive value than MRI, it exhibited higher specificity and positive predictive value. Overall diagnostic accuracy was comparable between the two modalities. The cost-benefit ratio (CER) for DBT and MRI were 3.25 and 12.17, respectively, and the incremental cost-benefit ratio (ICER) for MRI relative to DBT was 713.91.  Conclusion  Digital breast tomosynthesis offers high accuracy and favorable cost-effectiveness in the diagnosis of patients with breast cancer, making it a valuable tool worthy of broader clinical application.

     

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