4.5 Article

Dual-energy CT quantitative parameters for the differentiation of benign from malignant lesions and the prediction of histopathological and molecular subtypes in breast cancer

期刊

QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
卷 11, 期 5, 页码 1946-1957

出版社

AME PUBL CO
DOI: 10.21037/qims-20-825

关键词

Dual-energy CT; quantitative parameters; breast tumors; pathological classification; molecular subtypes

资金

  1. National Natural Science Foundation of China [82071883]
  2. Combination Projects of Medicine and Engineering of the Fundamental Research Funds for the Central Universities [2019CDYGYB008]
  3. Chongqing Key Medical Research Project of Combination of Science and Medicine [2019ZDXM007]
  4. Chinese International Medical Foundation [Z-2014-07-1912-10]

向作者/读者索取更多资源

Dual-energy CT quantitative parameters are effective in differentiating between benign and malignant breast lesions and predicting histopathological and molecular subtypes in breast cancer patients.
Background: Dual-energy computed tomography (DECT) is widely used to characterize and differentiate tumors. However, data regarding its diagnostic performance for the characterization of breast tumors are limited. In this study, we assessed the diagnostic performance of quantitative parameters derived from DECT in differentiating benign from malignant lesions and predicting histopathological and molecular subtypes in patients with breast cancer. Methods: Dual-phase contrast-enhanced DECT of the thorax was performed on participants with breast tumors. Conventional CT attenuation and DECT quantitative parameters, including normalized iodine concentration (NIC), the slope of the spectral Hounsfield unit curve (lambda(Hu)), and normalized effective atomic number (nZ(eff)), were obtained and compared between benign and malignant lesions, invasive non-special carcinoma, and ductal carcinoma in situ (DCIS), and among the four molecular subtypes of breast cancer. The diagnostic performance of the quantitative parameters was analyzed using receiver operating characteristic (ROC) curves. Results: This study included 130 participants with 161 breast lesions (44 benign and 117 malignant). In the arterial and venous phase, NICs, lambda(Hu), nZ(eff), and attenuation were higher in malignant lesions than benign lesions (all P<0.001). The venous phase lambda(Hu) had the best differential diagnostic capability, with an area under the curve (AUC) of 0.90, a sensitivity of 84.1% (37 of 44), a specificity of 86.3% (101 of 117), and an accuracy of 85.7% (138 of 161). The NICs in the arterial and venous phases were higher in invasive non-special carcinoma than DCIS (both P<0.001). In terms of diagnostic performance, NIC in the venous phase had an AUC of 0.77, a sensitivity of 75.0% (12 of 16), a specificity of 81.2% (82 of 101), and an accuracy of 80.3% (94 of 117). The luminal A subtype produced a lower venous phase NIC, and arterial and venous phase nZ(eff) than the non-luminal A subtype (AUC of 0.91 for the combination of these three parameters). Conclusions: Dual-energy CT quantitative parameters are a feasible and valuable noninvasive means of differentiating between benign and malignant lesions, and predicting histopathological and molecular subtypes in patients with breast cancer.

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