Maric Jelena, Boban Jasmina, Ivkovic-Kapicl Tatjana, Djilas Dragana, Vucaj-Cirilovic Viktorija, Bogdanovic-Stojanovic Dragana
General Hospital "Sveti Vračevi", Bijeljina, Bosnia and Herzegovina.
Faculty of Medicine Novi Sad, University of Novi Sad, Novi Sad, Serbia.
Front Oncol. 2020 Mar 13;10:332. doi: 10.3389/fonc.2020.00332. eCollection 2020.
Diffusion-weighted imaging (DWI) has not been well explored in differentiation of malignant from benign breast lesions. The aims of this study were to examine the role of apparent diffusion coefficient (ADC) values in differentiation of malignant from benign tumors and distinguishing histological subtypes of malignant lesions, and to determine correlations between ADC values and breast tumors structure. This cohort-study included 174 female patients who underwent contrast-enhanced breast MR examination on a 3T scanner and were divided into two groups: patient group (114 patients with proven tumors) and control group (60 healthy patients). One-hundred-thirty-nine lesions (67 malignant and 72 benign) were detected and pathohistologically analyzed. Differences between variables were tested using chi-square test; correlations were determined using Pearson's correlation test. For determination of cut off values for diagnostic potential, Receiver Operating Characteristic curves were constructed. Statistical significance was set at < 0.05. Mean ADC values were significantly lower in malignant compared to benign lesions (0.68 × 10mm/s vs. 1.12 × 10mm/s, < 0.001). The cut off value of ADC for benign lesions was 0.792 × 10mm/s (sensitivity 98.6%, specificity 65.7%), and for malignant 0.993 × 10mm/s (98.5, 80.6%). There were no significant correlations between malignant lesion subtypes and ADC values. DWI is a clinically useful tool for differentiation of malignant from benign lesions based on mean ADC values. The cut off value for benign lesions was higher than reported recently, due to high amount of fibrosis in included benign lesions. Finally, ADC values might have implications in determination of the biological nature of the malignant lesions.
扩散加权成像(DWI)在鉴别乳腺良恶性病变方面尚未得到充分研究。本研究的目的是探讨表观扩散系数(ADC)值在鉴别乳腺良恶性肿瘤以及区分恶性病变组织学亚型中的作用,并确定ADC值与乳腺肿瘤结构之间的相关性。这项队列研究纳入了174名女性患者,她们在3T扫描仪上接受了乳腺对比增强磁共振检查,并被分为两组:患者组(114例经证实患有肿瘤的患者)和对照组(60例健康患者)。共检测到139个病变(67个恶性和72个良性),并进行了病理组织学分析。使用卡方检验来检验变量之间的差异;使用Pearson相关检验来确定相关性。为了确定诊断潜力的临界值,构建了受试者操作特征曲线。统计学显著性设定为<0.05。恶性病变的平均ADC值显著低于良性病变(0.68×10⁻³mm²/s对1.12×10⁻³mm²/s,P<0.001)。良性病变的ADC临界值为0.792×10⁻³mm²/s(敏感性98.6%,特异性65.7%),恶性病变为0.993×10⁻³mm²/s(98.5%,80.6%)。恶性病变亚型与ADC值之间无显著相关性。基于平均ADC值,DWI是鉴别乳腺良恶性病变的一种临床有用工具。由于纳入的良性病变中纤维化程度较高,良性病变的临界值高于最近报道的值。最后,ADC值可能对确定恶性病变的生物学性质有一定意义。