Department of Medical Imaging and Image-guided Therapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 510060 Guangzhou, China.
Department of Medical Imaging and Image-guided Therapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 510060 Guangzhou, China.
Diagn Interv Imaging. 2020 Jun;101(6):391-399. doi: 10.1016/j.diii.2020.01.001. Epub 2020 Jan 31.
To identify the optimal acquisition time to best discriminate between benign and malignant breast lesions on contrast-enhanced cone beam CT (CE-CBCT) and evaluate the potential of CE-CBCT to differentiate between breast cancer subtypes.
A total of 98 women with a mean age of 49±10 (SD) years (range: 29-77 years) with 100 BI-RADS 4 or 5 breast lesions were prospectively included. CE-CBCT images were obtained at 1- and 2-min after intravenous administration of iodinated contrast material. Contrast enhancement of breast lesions on CE-CBCT were evaluated and compared between different subtypes. Cut-off values for best discriminating between benign and malignant breast lesions with CE-CBCT were obtained from receiver operating characteristic curves.
Malignant breast lesions showed greater enhancement than benign ones at 1-min (67.28±39.79 [SD] HU vs. 42.27±40.31 [SD] HU, respectively; P=0.007) and 2-min (70.93±38.05 [SD] HU vs. 48.94±41.83 [SD] HU, respectively; P=0.016) after intravenous administration of contrast material. At 1-min after intravenous administration of contrast material, an optimal cut-off value of 54.43 HU was found to best discriminate between malignant and benign breast lesions (AUC=0.681; 95%CI: 0.558-0.805; P=0.006) yielding 69.0% sensitivity (95%CI: 56.9-79.5%) and 69.2% specificity (95% CI: 48.2-85.7%). At 2-min, an optimal cut-off value of 72.65 HU was found to best discriminate between malignant and benign breast lesions (AUC=0.654; 95%CI: 0.535-0.774; P=0.020) yielding 50.7% sensitivity (95%CI: 38.6-62.8%) and 80.8% specificity (95%CI: 60.6-93.4%). CE-CBCT helped differentiate between immunohistochemical subtypes of breast lesions with lowest enhancement for triple negative lesions. No differences in enhancement were found among histopathological subtypes lesions at 1-min (P=0.478) and 2-min (P=0.625).
CE-CBCT helps discriminate between malignant and benign breast lesions, with best capabilities obtained at 1-min after intravenous administration of contrast material. For malignant lesions, quantitative analysis of enhancement on CE-CBCT helps differentiate between immunohistochemical subtypes.
确定最佳采集时间以在对比增强锥形束 CT(CE-CBCT)上最佳地区分良性和恶性乳腺病变,并评估 CE-CBCT 区分乳腺癌亚型的潜力。
共纳入 98 名平均年龄为 49±10(SD)岁(范围:29-77 岁)的女性,其中 100 名乳腺 BI-RADS 4 或 5 级病变。CE-CBCT 图像在静脉注射碘造影剂后 1 分钟和 2 分钟获得。评估 CE-CBCT 上乳腺病变的对比增强,并比较不同亚型之间的差异。从受试者工作特征曲线中获得用于最佳区分良性和恶性乳腺病变的 CE-CBCT 的最佳截断值。
恶性乳腺病变在 1 分钟(67.28±39.79 [SD] HU 与 42.27±40.31 [SD] HU 相比;P=0.007)和 2 分钟(70.93±38.05 [SD] HU 与 48.94±41.83 [SD] HU 相比;P=0.016)时的增强程度大于良性病变。在静脉注射造影剂后 1 分钟时,发现最佳截断值为 54.43 HU,可最佳区分恶性和良性乳腺病变(AUC=0.681;95%CI:0.558-0.805;P=0.006),其灵敏度为 69.0%(95%CI:56.9-79.5%),特异性为 69.2%(95%CI:48.2-85.7%)。在 2 分钟时,发现最佳截断值为 72.65 HU,可最佳区分恶性和良性乳腺病变(AUC=0.654;95%CI:0.535-0.774;P=0.020),其灵敏度为 50.7%(95%CI:38.6-62.8%),特异性为 80.8%(95%CI:60.6-93.4%)。CE-CBCT 有助于区分免疫组织化学亚型的乳腺病变,三阴性病变的增强程度最低。在 1 分钟(P=0.478)和 2 分钟(P=0.625)时,各组织病理学亚型病变之间的增强差异无统计学意义。
CE-CBCT 有助于区分恶性和良性乳腺病变,在静脉注射造影剂后 1 分钟时获得最佳效果。对于恶性病变,CE-CBCT 上增强的定量分析有助于区分免疫组织化学亚型。