Tuncbilek Nermin, Karakas Hakki Muammer, Okten Ozerk Omur
Department of Radiology, Trakya University Medical Faculty, Edirne, Turkey.
Eur J Radiol. 2005 Feb;53(2):199-205. doi: 10.1016/j.ejrad.2003.11.004.
To evaluate the relation between morphological features and enhancement parameters in dynamic contrast-enhanced magnetic resonance (DCE-MR) imaging with histopathological prognostic factors.
Fifty-five patients with surgicopathological diagnosis of breast carcinoma were evaluated with 1.0 T MR scanner as a part of their preoperative diagnostic work-up. Dynamic studies were performed in axial plane using 3D fast low angle shot (FLASH) sequence. Time intensity curves (TICs) were obtained from the regions showing maximal enhancement in subtraction images. The correlations between enhancement parameters and histopathological findings were analyzed using stepwise multiple regression analysis, Student's t-test, chi(2)-tests and Pearson's moment correlation coefficient.
Significant correlations were found between the presence of lymph node metastasis and tumor size (P < 0.05) and edge characteristics (P < 0.05). A highly significant correlation was found between histopathological grades and qualitative enhancement patterns (r = 0.403, P < 0.01). Statistically significant differences were found between the groups with and without lymph node metastasis regarding enhancement in the first minute (P < 0.01) and TIC slope (P < 0.05). A significant difference was found between the histopathological grades I and III regarding all quantitative enhancement parameters, whereas no difference was found between the grades I-II, and II-III.
DCE-MR imaging helps to predict prognostic factors of breast cancer by revealing morphological features and enhancement parameters of the primary tumor. Additional morphological factors further improve our ability to predict lymphatic metastasis.
在动态对比增强磁共振(DCE-MR)成像中,评估形态学特征及增强参数与组织病理学预后因素之间的关系。
55例经手术病理诊断为乳腺癌的患者,作为术前诊断检查的一部分,使用1.0 T MR扫描仪进行评估。在轴位平面上采用三维快速低角度激发(FLASH)序列进行动态研究。从减影图像中显示最大强化的区域获取时间-强度曲线(TIC)。使用逐步多元回归分析、学生t检验、卡方检验和皮尔逊积矩相关系数分析增强参数与组织病理学结果之间的相关性。
发现淋巴结转移的存在与肿瘤大小(P < 0.05)和边缘特征(P < 0.05)之间存在显著相关性。发现组织病理学分级与定性强化模式之间存在高度显著相关性(r = 0.403,P < 0.01)。在第1分钟的强化(P < 0.01)和TIC斜率(P < 0.05)方面,有淋巴结转移组和无淋巴结转移组之间存在统计学显著差异。在所有定量强化参数方面,组织病理学I级和III级之间存在显著差异,而I-II级和II-III级之间未发现差异。
DCE-MR成像通过揭示原发性肿瘤的形态学特征和增强参数,有助于预测乳腺癌的预后因素。额外的形态学因素进一步提高了我们预测淋巴转移的能力。