Schneider P, Piper S, Schmitz C H, Schreiter N F, Volkwein N, Lüdemann L, Malzahn U, Poellinger A
Radiology, Charité Universitätsmedizin Berlin, Campus Virchow Klinikum.
Rofo. 2011 Oct;183(10):956-63. doi: 10.1055/s-0031-1281726. Epub 2011 Oct 4.
To evaluate fast 3D near-infrared breast imaging using the optical contrast agent indocyanine green (ICG) for the detection and characterization of breast lesions.
30 patients with suspicious breast lesions on mammography and/or ultrasound underwent fast 2 Hz 3D optical mammography before, during, and after administration of a 25 mg ICG bolus prior to needle biopsy. The bolus kinetics is analyzed using two perfusion parameters and a derived parameter: "peak amplitude" (PA), "time-to-peak" (TTP) and "peak-time grouped amplitude" (PTA). A receiver operating characteristic curve (ROC) analysis was performed to define a PTA cut-off for reader-independent differentiation of benign and malignant lesions. 8 patients had to be excluded from data analysis. Overall 14 breasts bearing a malignant lesion, 8 breasts bearing a benign lesion and 3 healthy breasts were analyzed.
The cut-off-based PTA analysis allowed correct detection for 12 of 14 malignant lesions (tumor size: 8 - 80 mm; sensitivity = 85.7 %). Two malignant lesions were missed. In the benign study group only one fibroadenoma was detected (specificity = 87.5 %). The PTA values differed significantly between the benign group and the malignant group (Mann-Whitney U-test, p < 0.05). Breasts with malignant lesions showed higher peaks at early time-points in ICG perfusion.
Early perfusion analysis of ICG-enhanced 3D fast optical mammography revealed different enhancement patterns for benign and malignant lesions. This approach might help with the detection of malignant breast lesions and the differentiation from benign lesions.
评估使用光学造影剂吲哚菁绿(ICG)的快速三维近红外乳腺成像技术在乳腺病变检测与特征分析中的应用。
30例在乳腺X线摄影和/或超声检查中发现可疑乳腺病变的患者,在针吸活检前给予25mg ICG推注,分别在推注前、推注期间和推注后进行2Hz的快速三维光学乳腺摄影。使用两个灌注参数和一个衍生参数分析推注动力学:“峰值幅度”(PA)、“达峰时间”(TTP)和“峰时分组幅度”(PTA)。进行受试者操作特征曲线(ROC)分析以确定用于独立于阅片者区分良性和恶性病变的PTA临界值。8例患者被排除在数据分析之外。总共分析了14个患有恶性病变的乳房、8个患有良性病变的乳房和3个健康乳房。
基于临界值的PTA分析能够正确检测出14个恶性病变中的12个(肿瘤大小:8 - 80mm;敏感性 = 85.7%)。漏检了2个恶性病变。在良性研究组中仅检测出1个纤维腺瘤(特异性 = 87.5%)。良性组和恶性组的PTA值差异显著(曼-惠特尼U检验,p < 0.05)。患有恶性病变的乳房在ICG灌注的早期时间点显示出更高的峰值。
ICG增强的三维快速光学乳腺摄影的早期灌注分析揭示了良性和恶性病变不同的增强模式。这种方法可能有助于检测恶性乳腺病变并与良性病变进行区分。