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酰胺质子转移加权成像与时间依赖性扩散MRI诊断乳腺恶性病变的效能比较

酰胺质子转移加权成像与时间依赖性扩散MRI诊断乳腺恶性病变的效能比较

ISSN:1005-1201
2024年第58卷第06期
王晓艳1;张焱1;程敬亮1;林良杰1;武志刚1;胡瑛1;张勇1;王岸飞1;李莹1;王如华1;张坤1;张文华1;王保茎1;史晓娟 WangXiaoyan1;ZhangYan1;ChengJingliang1;LinLiangjie1;WuZhigang1;HuYing1;ZhangYong1;WangAnfei1;LiYing1;WangRuhua1;ZhangKun1;ZhangWenhua1;WangBaojing1

目的 比较酰胺质子转移加权(APTw)成像与时间依赖性扩散MRI(td-dMRI)诊断乳腺恶性病变的效能。 方法 该文为横断面研究。前瞻性分析2023年3月至8月在郑州大学第一附属医院就诊的乳腺病变患者的临床、病理及影像资料。所有患者首先接受T 2WI、扩散加权成像,然后接受动态对比增强MRI(DCE-MRI),最后以DCE-MRI为参考对乳腺病变进行APTw成像、td-dMRI。通过APTw成像的重建图像测量病变的频率偏移为3.5 ppm的不对称性磁化转移率[MTR asym(+3.5 ppm)],通过td-dMRI的重建图像测量不同振荡频率梯度下的表观扩散系数(ADC)值(ADC PGSE、ADC 17 Hz、ADC 33 Hz)。采用独立样本 t检验比较乳腺良性与恶性病变、乳腺恶性病变不同分子分型[雌激素受体(ER)阴性与阳性、孕激素受体(PR)阴性与阳性、人表皮生长因子受体(HER-2)阴性与阳性、增殖指数(Ki-67)低表达与高表达]及不同组织学分级(Ⅱ级与Ⅲ级)的APTw成像、td-dMRI参数差异。采用受试者操作特征曲线和曲线下面积(AUC)评估APTw成像、td-dMRI参数鉴别乳腺肿瘤良性与恶性、乳腺恶性病变不同分子分型和组织学分级的效能。 结果 171例患者共171个病灶,恶性病变103例、良性病变68例。89例浸润性癌中,组织学分级Ⅱ级51例、Ⅲ级38例。98例恶性病变纳入分子分型分析,ER阴性36例、阳性62例;PR阴性51例、阳性47例;HER-2阴性33例、阳性65例,Ki-67低表达50例、高表达48例。乳腺恶性病变的MTR asym(+3.5 ppm)值高于良性病变( t=5.76, P<0.001),ADC PGSE、ADC 17 Hz、ADC 33 Hz值均低于乳腺良性病变( t分别为4.84、4.62、4.01, P均<0.001);其中MTR asym(+3.5 ppm)鉴别诊断的AUC值最大(0.83)、特异度最高(90.38%),ADC PGSE的灵敏度最高(85.86%)。乳腺恶性病变组织学分级Ⅱ级与Ⅲ级的MTR asym(+3.5 ppm)、ADC PGSE、ADC 17 Hz和ADC 33 Hz值差异均无统计学意义( P均>0.05)。乳腺恶性病变ER阴性的ADC PGSE值大于ER阳性( t=2.34, P=0.018),其鉴别ER阳性与阴性的AUC为0.64。PR阴性的ADC PGSE、ADC 17 Hz值均高于PR阳性( t分别为2.87、2.81, P=0.004、0.006),其鉴别乳腺恶性病变PR阳性与阴性的AUC分别为0.68、0.67。HER-2阴性ADC 33 Hz值小于HER-2阳性( t=3.00, P=0.003),其鉴别乳腺恶性病变HER-2阳性与阴性的AUC为0.67。其余各参数在不同亚型的乳腺恶性病变中差异均无统计学意义( P均>0.05)。 结论 APTw成像相较于td-dMRI在鉴别乳腺肿瘤良性与恶性病变方面效能较高,而td-dMRI所获得的不同梯度振荡频率下的ADC值在鉴别乳腺恶性病变不同分子分型方面显示出更优的诊断效能。

Objective To compare the efficacy of amide proton transfer-weighted (APTw) imaging with time-dependent diffusion MRI (td-dMRI) in the diagnosis of malignant breast lesions. Methods This study was a cross-sectional study. The clinical, pathological and imaging data of patients with breast lesions admitted to the First Affiliated Hospital of Zhengzhou University from March to August 2023 were prospectively analyzed. All patients firstly underwent T 2WI, diffusion-weighted imaging, followed by dynamic contrast-enhanced MRI (DCE-MRI), and finally APTw imaging and td-dMRI were performed for breast lesions using DCE-MRI as reference. Reconstructed images from APTw imaging measured lesions with a frequency shift of 3.5 ppm asymmetric magnetic susceptibility MTR asym(+3.5 ppm). The apparent diffusion coefficient (ADC) values at different oscillating frequency gradients (ADC PGSE, ADC 17 Hz, ADC 33 Hz values) were measured using reconstructed td-dMRI images. Independent sample t-test was used to compare APTw imaging, td-dMRI parameter differences between benign and malignant breast tumors, breast malignant tumors with different molecular types [estrogen receptor (ER) negative and positive, progesterone receptor (PR) negative and positive, human epidermal growth factor receptor (HER-2) negative and positive, proliferation index (Ki-67) low and high expression] and different histological grades (grade Ⅱ and Ⅲ). Receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of APTw imaging and td-dMRI parameters in differentiating benign and malignant breast tumors, molecular classification and histological grading of malignant breast lesions. Results There were 171 lesions in 171 patients, including 103 malignant lesions and 68 benign lesions. Histological grades were grade Ⅱ in 51 cases and grade Ⅲ in 38 cases of 89 cases of invasive carcinoma. Totally 98 cases of malignant lesions were included in molecular typing analysis, 36 cases were ER negative and 62 cases were ER positive. PR was negative in 51 cases and positive in 47 cases. There were 33 negative HER-2 patients, 65 positive HER-2 patients. There were 50 cases of low Ki-67 expression and 48 cases of high Ki-67 expression. The MTR asym(+3.5 ppm) value of malignant breast lesions was higher than that of benign lesions ( t=5.76, P<0.001), and the ADC PGSE, ADC 17 Hz and ADC 33 Hz values were lower than those of benign breast lesions ( t was 4.84, 4.62, 4.01, respectively, all P<0.001). MTR asym(+3.5 ppm) had the highest AUC value (0.83) and the highest specificity (90.38%), and ADC PGSE had the highest sensitivity (85.86%). There were no significant differences in MTR asym(+3.5 ppm), ADC PGSE, ADC 17 Hz and ADC 33 Hz between grade Ⅱ and grade Ⅲ histological grades of malignant breast lesions (all P>0.05). The ADC PGSE value of ER negative was higher than that of ER positive ( t=2.34, P=0.018), and the AUC for distinguishing ER positive from negative was 0.64. The ADC PGSE and ADC 17 Hz values of PR negative were higher than those of PR positive ( t=2.87, 2.81, P=0.004, 0.006, respectively), and their AUCs for identifying PR positive versus negative breast malignant lesions were 0.68 and 0.67, respectively. The ADC 33 Hz value of negative HER-2 was lower than that of positive HER-2 ( t=3.00, P=0.003), and the AUC for distinguishing positive and negative HER-2 was 0.67. There were no significant differences in other parameters among different subtypes of breast malignant lesions (all P>0.05). Conclusion Compared with td-dMRI, APTw imaging is more effective in differentiating benign and malignant lesions of breast tumors, and ADC values at different gradient oscillation frequencies obtained by td-dMRI show better diagnostic efficacy in differentiating different molecular types of breast malignant lesions.

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ISSN:1005-1201
2024年第58卷第06期

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