Beytepe Murat Erdi Eker State Hospital, Radiology Unit, Ankara, Turkey.
Department of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Clin Breast Cancer. 2024 Jun;24(4):e279-e288. doi: 10.1016/j.clbc.2024.01.022. Epub 2024 Feb 1.
To investigate the correlation between quantitative parameters obtained by dual energy spectral computed tomography (DESCT) and various histopathological factors and biomarkers associated with the prognosis of breast cancer.
Quantitative parameters such as iodine content (IC), normalized IC (nIC), iodine enhancement (IE) and normalized IE (nIE) were measured on virtual monochromatic images and iodine mapping images obtained from DESCT in 116 female breast cancer patients. The relationship between these parameters and prognostic biomarkers such as estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) status and Ki67 levels, as well as the correlation with histological grade (HG), lymphovascular invasion (LVI), and metastatic axillary lymphadenopathy (LAP) were evaluated.
ER-negative tumors had significantly higher values of IC, nIC, IE, and nIE compared to ER-positive tumors. PR-negative tumors had significantly higher values of IE and nIEc compared to PR-positive tumors. HER2 overexpressed and Ki-67 high proliferation tumors showed significantly higher values of all quantitative parameters compared to HER2 negative and Ki-67 low proliferation tumors. All quantitative parameters were significantly higher in HG 3 tumors, tumors with detected LVI, and tumors with metastatic axillary LAP compared to low-grade tumors, LVI-negative tumors and tumors without metastatic axillary lymph nodes, respectively.
Quantitative parameters of IC and IE obtained from DESCT have shown potential for predicting prognosis in breast cancer patients. Higher values of these parameters have been found to correlate with poor prognostic biomarkers and histopathological features. These results suggest that quantitative DESCT imaging may offer an additional benefit in the noninvasive prediction of breast cancer prognosis.
探讨双能光谱 CT（DESCT）定量参数与乳腺癌预后相关的各种组织病理学因素和生物标志物之间的相关性。
对 116 例女性乳腺癌患者的 DESCT 虚拟单能量图像和碘图上测量碘含量（IC）、标准化碘含量（nIC）、碘浓度（IE）和标准化碘浓度（nIE）等定量参数，并评估这些参数与预后生物标志物（如雌激素受体（ER）、孕激素受体（PR）、人表皮生长因子受体 2（HER2）状态和 Ki67 水平）之间的关系，以及与组织学分级（HG）、脉管侵犯（LVI）和转移性腋窝淋巴结病（LAP）的相关性。
与 ER 阳性肿瘤相比，ER 阴性肿瘤的 IC、nIC、IE 和 nIE 值显著更高。PR 阴性肿瘤的 IE 和 nIEc 值明显高于 PR 阳性肿瘤。HER2 过表达和 Ki-67 高增殖肿瘤的所有定量参数值均明显高于 HER2 阴性和 Ki-67 低增殖肿瘤。与低分级肿瘤、无 LVI 肿瘤和无转移性腋窝淋巴结肿瘤相比，HG3 肿瘤、有 LVI 检测的肿瘤和有转移性腋窝 LAP 的肿瘤的所有定量参数均显著更高。
DESCT 获得的 IC 和 IE 定量参数显示出预测乳腺癌患者预后的潜力。这些参数值越高，与预后不良的生物标志物和组织病理学特征相关。这些结果表明，定量 DESCT 成像可能为乳腺癌的无创性预后预测提供额外的益处。
