乳腺MR T2*W首次通过灌注成像方法及价值探讨

目的 评价同一次乳腺MRI检查中,T1W动态增强成像之前行T2*W首次通过灌注成像的可行性及价值.方法 27例乳腺疾病患者在磁共振常规扫描之后依次行T2*W首次通过灌注成像及T1W动态增强扫描.对T2*W首次通过灌注图像及T1W动态增强图像进行后处理,得出灌注时间-信号强度曲线及T1W动态增强时间-信号强度曲线,计算病灶T2*W首次通过灌注成像的最大信号丢失率.结果 良恶性病灶之间的最大信号丢失率差异具有显著的统计学意义(P＜0.01);良恶性病灶最大信号丢失率95% 可信区间之间无重叠.良恶性病灶在T1W动态增强曲线的平台型中有较大交叉. 结论 同一次乳腺MRI检查中T1W动态增强成像之前行T2*W首次通过灌注成像是可行的,二者结合在良恶性疾病的诊断和鉴别诊断方面具有很大意义.     

弥散加权成像鉴别乳腺良恶性病变的价值初探

目的　探讨弥散加权成像（diffusionweightedimaging,DWI）的表面弥散系数（apparentdiffusioncoefficients,ADC）鉴别乳腺良恶性病变的价值。方法　健康志愿者10人,经手术病理证实的乳腺病变49例,其中恶性肿瘤26例,良性病变23例。DWI采用单次激发回波平面成像（echo-planarimaging,EPI）技术,14例取5个b值（b为扩散敏感度）,余者取2个b值,计算ADC值。以恶性肿瘤ADC值单侧上界95%容许区间为界限判断病灶的良恶性,诊断结果与动态增强比较。结果　除1例原位癌和1例小腺瘤外,DWI显示所有良恶性病变。恶性肿瘤组ADC值为(0.9608±0.2043)×10     

MR低信号分隔征鉴别乳腺良恶性肿瘤的价值

目的评价MR低信号分隔征在乳腺良、恶性肿瘤鉴别诊断中的价值。方法回顾性分析了经手术病理及临床随访证实的12例20个乳腺癌和14例25个纤维腺瘤的MR表现特点，分析低信号分隔征的鉴别诊断价值。结果乳腺癌和纤维腺瘤在MR抑脂T2 WI信号可为等、高信号，低信号，混杂信号，3种信号在乳腺癌分别为5、11、4个，在纤维腺瘤分别为11、10、4个，两者差异无统计学意义（X^2=1.764，P=0.414）。病灶形状可分为不规则形、类圆形和分叶状，3种形状在乳腺癌和纤维腺瘤分别为12、7、1个和1、7、17个，差异有统计学意义（X^2=23.262，P=0.000）。纤维腺瘤特征性表现分叶状、抑脂T2 WI及增强后低信号分隔征，诊断纤维腺瘤的敏感度分别为68％（17／25）、52％（13／25）、72％（18／25），特异度分别为95％（19／20）、90％（18／20）、95％（19／20）。结论低信号分隔征是诊断乳腺纤维腺瘤较特异的征象之一。     

动态增强磁共振成像在鉴别乳腺良恶性肿瘤中的价值

目的评价动态增强磁共振成像鉴别乳腺良恶性肿瘤的价值.材料和方法经手术病理证实的乳腺肿块52例,其中恶性肿瘤38例,良性肿瘤14例.动态增强采用2DFSPGR序列,注射造影剂后连续扫描,持续至注药后8～10min,扫描次数约25～30次.以形态学、增强曲线、增强参数多种诊断标准进行诊断价值的评价.结果依靠形态学表现鉴别良恶性肿块具有最高的特异性为93%,依靠增强曲线的形态来鉴别具有最高的敏感性为l00%,同时结合两者来进行鉴别敏感性和特异性都达最高,诊断准确率为98%.运用最大强化斜率、注药后lmin的强化率、注药后2min的强化率等定量指标,分别以＞3%/s,＞70%,＞90%为标准可以达到较高的敏感性和特异性,分别为89%,79%;95%,64%;82%,79%.结论磁共振动态增强对于鉴别乳腺良恶性肿瘤具有较大的价值,同时结合肿瘤的形态学表现和增强曲线类型可以提高诊断的准确率.     

MR T2WI灌注成像在鉴别良恶性骨肿瘤中的应用

目的：评估多层MR T2WI灌注成像在良恶性骨肿瘤鉴别诊断中的应用。方法：39例骨肿瘤患者行MR T2WI灌注成像，其中组织学证实良性21例，恶性18例。时间强度曲线（TIC）分4型，分别比较良恶性病变的首过时间和最大斜率的信号衰减。结果：在良恶性病变中，首过时间和最大斜率的信号衰减有明显不同。TIC曲线分为4型。恶性组的曲线分布：     

MRI技术在鉴别乳腺良恶性病变方面的价值

继常规乳腺钼靶、B超检查之后,MRI为乳腺疾病的诊断和鉴别诊断提供了又一种有效的影像学手段。通过复习近年来有关乳腺磁共振成像的文献,就其成像技术、对良恶性病变的鉴别诊断价值及其优越性、局限性和临床应用前景进行了探讨。     

乳腺MRI鉴别诊断男性乳腺良恶性病变的价值

目的:探讨MRI在鉴别男性乳腺良恶性病变中的诊断价值。方法:收集2011年1月至2019年3月因乳腺病变在复旦大学附属肿瘤医院接受乳腺MRI检查的34例男性患者的临床及影像学资料。由两名放射科医师分析乳腺病变的影像学特征,当两者评估不一致时,则由第3名放射医师对影像学特征进行评定。评估内容包括病灶位置,T ...     

乳腺MRI动态增强对良恶性病变的鉴别价值

目的：探讨磁共振动态增强技术（DCE-MRI）对乳腺良恶性病变的鉴别诊断价值。方法：18例乳腺良性病变、16例恶性肿瘤及2例交界性病变患者行DCEMRI检查（平均年龄51．7岁）。对病变的边缘、形态、有无播散征、时间信号曲线、最大增强斜率（MSI）、信号增强率（SER）和信号增强幅度（SEE）等7项指标进行了良恶性组比较。结果：除了MSI以外,其余6项指标在良恶性组之间差异均有显著性意义。用病变形态、时间信号曲线及SEE等五项指标对36例乳腺病变综合评分结果显示：综合评分对诊断乳腺恶性肿瘤的灵敏度、特异度和准确性分别为93．8％、83．3％及88．2％。结论：结合DCE～MRI的病变形态学改变及动态增强表现对乳腺良恶性病变的鉴别有很好的诊断价值。     

磁共振扩散峰度成像在乳腺良恶性病变鉴别诊断中的价值

【摘要】目的：探讨磁共振扩散峰度成像（DKI）在乳腺良恶性病变鉴别诊断中的价值。方法：回顾性分析经穿刺活检或手术病理证实的45例乳腺病变患者的病例资料。45例患者共53个病灶,其中良性病灶31个（23例）,恶性病灶22个（22例）,所有患者均行双侧乳腺的常规MRI检查及DKI扫描,通过后处理工作站获得乳腺良、恶性病变组织的平均峰度（MK）、轴向峰度（AK）、径向峰度（RK）值。采用Mann-Whitney U秩和检验比较MK、AK及RK值在乳腺良、恶性病变中的统计学差异。采用受试者操作特性（ROC）曲线评价上述参数对乳腺良、恶性病变的诊断效能。结果：乳腺恶性病变的MK、AK及RK值均明显高于良性病变,且差异均具有统计学意义（P均<0.001）。MK、AK、RK的ROC曲线下面积(AUC)分别是0.886、0.930、0.881;良恶性诊断界值分别为0.45900、0.7250、0.3430;敏感度分别为95.6%、86.4%、90.9%;特异度分别为64.5 %、87.1%、66.7%。结论：DKI获得的MK、AK、RK在乳腺良恶性病变的鉴别诊断中具有一定的价值。     

MRI技术在鉴别乳腺良恶性病变方面的价值

继常规乳腺铂靶、B超检查之后,MRI为乳腺疾病的诊断和鉴别诊断提供了又一种有效的影像学手段.通过复习近年来有关乳腺磁共振成像的文献,就其成像技术、对良恶性病变的鉴别诊断价值及其优越性、局限性和临床应用前景进行了探讨.     

动态增强MRI鉴别乳腺良恶性病变的前瞻性研究

目的　前瞻性评估乳腺良恶性病灶的增强形态、时间-信号强度曲线形态、早期增强率以及鉴别病变的价值。方法　40例乳腺病变行三维动态增强MRI检查,在工作站上绘制时间-信号强度曲线并计算早期增强率,分别根据病灶增强形态、时间-信号强度曲线分型和早期增强率大小诊断病变的良恶性。结果　40例41个病灶经病理证实,恶性病灶23个,良性病灶18个。良性病变边缘77.8%（14/18）为光滑或分叶,16.7%(3/18)为不规则或毛刺,早期增强率为(55.5±28.3)%,时间-信号强度曲线72%(13/18)为单相型;恶性病变边缘82.6%(19/23)为不规则或毛刺,13%（3/23）为光滑或分叶,早期增强率为(90.5±38.6)%,时间-信号强度曲线78.3%(18/23)为流出型。良恶性病变的形态分布、时间-信号强度曲线类型和早期增强率差异有显著性意义(χ2值分别为18.42、20.68、10.38,P值均<0.01)。病灶增强形态诊断的敏感性82.6%（19/23）,特异性77.8%（14/18）。时间-信号强度曲线诊断的敏感性95.7%（22/23）,特异性72.2%（13/18）。早期增强率诊断的敏感性87%（20/23）,特异性61.1%（11/18）。结论　典型毛刺状形态和流出型时间-信号强度曲线均强烈提示恶性;单相型时间-信号强度曲线强烈提示良性;早期增强率诊断的特异性差。     

DWI和Vibrant动态增强MR成像在乳腺癌中的诊断价值

目的：探讨MR扩散加权成像（DwI）和Vibrant技术在乳腺癌中的诊断价值。方法：搜集经病理证实的55例乳腺癌患者,55例均行MRI平扫、DWI及Vibrant成像,扩散系数b值为1000s／mm2,测量正常腺体组织、病灶的ADC值及病灶早期强化率,确定动态增强时间-信号强度曲线类型;将Vibrant图像进行3D最大强度投影（MIP）重组,观察病灶不同角度的特征。结果：乳腺癌平均ADC值[（0．92±0．25）×10-3mm2／s]较正常腺体[（1．73±0．13）×10-3mm2／s2明显减低,差异有统计学意义（P〈0．05）;恶性肿瘤灌注曲线表现为廓清型（49例）或平台型（16例）,病灶早期强化率为1．85±0．58。3DMIP图像可整体观察病灶形态,有利于供血动脉的显示。结论：MRI平扫、DwI、Vibrant成像结合3DMIP图像特征可为乳腺恶性肿瘤的诊断提供更多信息。     

3．OT MRI定量动态对比增强对乳腺疾病的应用价值研究

目的 研究3.0T MRI动态对比增强定量参数对乳腺疾病的诊断价值.方法 采用3.0T MRI扫描仪和16通道乳腺相控阵线圈对45例怀疑乳腺肿瘤患者进行动态对比增强MRI检查,共发现病灶52个,其中5例为2个病灶（1例为双侧,4例为单侧）,1例为3个病灶（双侧）,所有2个以上病灶都取最大的病灶纳入研究.分别测量定量血流动力学参数,包括容量转移常数（volume transfer constant,Kttrans）和血管外细胞外间隙容积比（extravascular extracellular space distribute volume per unit tissue volume,Ve）.采用单因素方差分析比较乳腺癌、纤维瘤和其他良性病变的组间差异,受试者特性曲线（receiver operating characteristic curve,ROC）分析良、恶性病变的组间差异.结果 乳腺癌（n=23）的Ktrans和Ve均值分别为（10.18±2.65） min-1和7.64±1.20;良性病变（n=22）的Ktrans和Ve均值分别为（5.68±1.15）nind和8.44±2.01;良性病变中纤维瘤（n=12）的上述均值分别为（7.31±1.42） min1和11.25±2.75,其他良性病变（n=10）的上述均值分别为（3.73±0.83） min1和5.07±1.13.乳腺癌与良性病变间Ktrans的差异有统计学意义（F值为4.271,P值＜0.05）,Ve的差异无统计学意义（F值为1.553,P值＞0.05）;乳腺癌、乳腺纤维瘤与其他良性病变3组间Ktrans和Ve的差异均有统计学意义（F值分别为4.316和3.944,P值均＜0.05）.以最大约登指数为最佳诊断切点值,Ktrans和Ve判断乳腺良恶性病变的敏感度分别为87.5％和8l.3％;特异度分别为55.6％和38.9％.综合2个定量参数作为联合指标诊断良、恶性病变的敏感度、特异度和准确度分别为91..％（21/23）,77.3％ （17/22）和84.4％（38/45）.结论 3.0T MRI动态对比增强定量血流动力学参数Ktrans对乳腺良恶性病变的鉴别诊断具有很高的诊断价值,Ve对鉴别乳腺癌与纤维瘤具有一定的诊断价值.     

Low-field versus high-field MRI in diagnosing breast disorders

We evaluated the performance of low-field MRI in breast disorders by comparing it with high-field MRI and biopsy results. Twenty-eight consecutive patients who were able to undergo two magnetic resonance examinations on following days were examined by high-field and low-field MRI. After T1-weighted sagittal images had been obtained a dynamic 3D axial study was performed followed by the acquisition of contrast-enhanced T1-weighted sagittal images. The images were analyzed separately by two radiologists paying attention to lesion morphology and enhancement kinetics. Six patients had problems in both breasts (34 breasts studied). The results were compared with biopsy results of 27 breasts. There were 16 malignant lesions, two fibroadenomas and nine other benign lesions. The inter-magnetic-resonance-scanner value was 0.77 (substantial agreement), while the interobserver value was 0.86 and 0.81 at low and high field, respectively (excellent agreement). The sensitivity was 100 and 100%, the specificity was 82 and 73% and the accuracy was 93 and 89% at low and high field, respectively. The mean lesion size was 2 cm and the smallest malignant lesion was 8 mm in diameter. Low-field MRI is a promising tool for breast imaging. Larger materials and smaller lesions are needed to evaluate its true sensitivity and specificity.     

定量动态增强MRI鉴别乳腺良恶性病变的研究

目的 探讨定量动态增强MRI鉴别乳腺良恶性病变的价值.方法 118例乳腺疾病患者行3.0 T定量动态增强MR检查,测量定量参数:容量转移常数(Ktrans)、速率常数(Kep)和血管外细胞外间隙容积比(Ve),对恶性病变、良性病变及正常腺体组间定量参数行单因素方差分析及LSD法两两比较;对浸润性癌与导管原位癌组间行独立样本t检验;最后绘制ROC曲线.结果 恶性病变组Ktrans、Ken、Ve均值分别为(1.010±0.580)min-1、(1.634±1.481)min-1、(0.735±0.273);良性病变组三者均值分别为(0.331±0.192)min-1、(0.417±0.324)min-1、(0.847±0.291);正常腺体组间三者均值分别为(0.051±0.028)min-1、(0.133±0.125)min-1、(0.597±0.354).正常腺体与良性病变、正常腺体与恶性病变及良性病变与恶性病变间Ktrans差异均有统计学意义(t值分别为9.681、11.189、5.590,P值均＜0.01);正常腺体与恶性病变、良性病变与恶性病变间Kep差异有统计学意义(t值分别为5.287、3.874,P值均＜0.05);正常腺体与良性病变、正常腺体与恶性病变间Ve差异有统计学意义(t值分别为2.932、2.562,P值均＜0.05);正常腺体与良性病变间Kep、良性病变与恶性病变间Ve差异无统计学意义(t值分别为0.760、0.832,P值均＞0.05).浸润性癌与导管原位癌组间Ktrans、Kep、Ve差异均无统计学意义(t值分别为0.834、0.075、0.454,P值均＞0.05).Ktrans、Kep、Ve三者ROC曲线下面积分别为0.934、0.941、0.659,以最大约登指数为最佳诊断切点值,则三者判断乳腺良恶性病变的敏感性分别为77.01%、91.95%、56.32%;特异性分别为95.65%、86.96%、78.26%.结论 定量动态增强参数Ktrans、Kep值可以对乳腺良恶性病变做出鉴别诊断,并表现出相对高的诊断效能,但对浸润性癌与导管原位癌鉴别效能较低.

Abstract：

Objective To evaluate the value of quantitative 3T dynamic contrast enhanced MRI in the diagnosis of breast lesions. Methods One-hundred and eighteen patients suspected of breast lesions underwent MRI examination. A 3.0 T MR scanner was used to obtain the quantitative MR pharmacokinetic parameters: Ktrans( volume transfer constant), Kep (exchange rate constant) and Ve (extravascular extracellular volume fraction). The mean Ktrans, Kep and Ve of malignant, benign and normal glandular tissues were calculated and compared each other using LSD method. Independent sample t test was used between invasive ductal carcinoma and ductal carcinoma in situ (microinvasion included). Finally, the areas under the ROC curve (AUC) of Ktrans, Kep and Ve between malignant and benign lesions were compared. Results The mean Ktrans, Kep and Ve of malignant lesions (n=87) were (1.010±0.580) min-1, (1.634 ± 1.481) min-1 and (0.735 ±0.273); the mean Ktrans, Kep and Ve of benign lesions (n=23) were (0.331±0.192) min - 1, (0.417±0.324) min - 1 and (0.847±0.291); and the mean Ktrans, Kep and Ve of normal glandular tissues (n =83) were (0.051 ±0.028) min-1, (0.133±0.125) min-1 and (0.597±0.354), respectively. There were significant differences between normal glandular tissues and benign lesions, normal glandular tissues and malignant lesions, benign and malignant lesions in Ktrans (t=9.681, 11.189, 5. 590, respectively, P ＜ 0. 01 ), normal glandular tissues and malignant lesions, benign and malignant lesions in Kep(t =5. 287, 3. 874, P＜0. 05). There were a statistic differences between normal glandular tissues and benign lesions, normal glandular tissues and malignant lesions in Ve(t =2. 932, 2. 562 ,P ＜0. 05). There were no significant differences between normal glandular tissues and benign lesions in Kep, benign and malignant lesions in Ve ( t = 0. 760, 0. 832, P ＞ 0.05 ),invasive ductal carcinoma and ductal carcinoma in situ (microinvasion included) in Ktrans, Kep and Ve(t =0.834,0.075,0.454,P＞0.05). The areas under the ROC curve (AUC) of Ktrans, Kep and Ve between malignant and benign lesions were 0. 934, 0. 941 and 0. 659. The sensitivity of Ktrans, Kep and Ve were 77.01% ,91.95% ,56. 32% and the specificity of Ktrans, Kep and Ve were 95. 65%, 86. 96%, 78.26% for the differential diagnosis of breast lesions if taken the maximum Youden's index as cut-off. Conclusion The differential diagnosis of benign and malignant breast lesions by Ktrans, Kep is applicable.     

小b值扩散加权成像对乳腺癌的诊断价值

目的:探讨小b值扩散加权成像(DWI)在诊断乳腺癌中的价值.方法:采用Philips 1.5T磁共振扫描仪对48例乳腺疾病患者行常规SE序列扫描、单次激发自旋回波-回波平面成像(SE-EPI)序列DWI及动态增强扫描.48例患者共检出53个病灶,其中良性肿瘤29个,恶性肿瘤24个,均经手术及病理证实;选择健康志愿者20...     

Comparison of first-pass and second-bolus dynamic susceptibility perfusion MRI in brain tumors

Introduction Our goal was to evaluate whether the T1 shortening effect caused by contrast leakage into brain tumors, a well-known confounding effect in the quantification of relative cerebral blood volume (rCBV) measurements, may be corrected by the administration of a predose of gadolinium-DTPA.Methods As part of their presurgical imaging protocol, 25 patients with primary brain tumors underwent two consecutive dynamic susceptibility-weighted contrast-enhanced (DSC) perfusion MR studies. Intratumoral rCBV measurements and normalized rCBV values obtained during the first-pass and second-bolus studies were compared (Wilcoxon signed-ranks test). The frequency of relatively increased rCBV ratios on the second-bolus study was compared between enhancing and non-enhancing neoplasms (Fisher’s exact test). Postprocessing perfusion studies were evaluated for image quality on a scale of 0–3 (Wilcoxon signed-ranks test). Four studies were excluded due to unacceptable image quality.Results Mean normalized rCBVs were 9.04 (SD 4.64) for the first-pass and 7.99 (SD 3.84) for the second-bolus study. There was no statistically significant difference between the two perfusion studies in either intratumoral rCBV (P=0.237) or rCBV ratio (P=0.181). Five enhancing and four non-enhancing tumors showed a relative increase in rCBV ratio on the second-bolus study, without a significant difference between the groups. Image quality was not significantly different between perfusion studies.Conclusion Our results did not demonstrate a significant difference between first-pass and second-bolus rCBV measurements in DSC perfusion MR imaging. The administration of a predose of gadolinium-DTPA does not appear to be an efficient way of compensating for the underestimation of intratumoral rCBV values due to the T1 shortening effect.     

Identification of occult breast lesions detected by magnetic resonance imaging with targeted ultrasound: A prospective study

Objective

To verify the capacity of targeted ultrasound (US) to identify additional lesions detected on breast magnetic resonance imaging (MRI), but occult to initial mammography, US and clinical examinations.

Methods

This prospective study included 68 additional relevant breast lesions identified on MRI of 49 patients. As an inclusion criterion, breast US and mammography were required and performed up to six months before MRI. These lesions were then subjected to targeted “second-look” US up to 2 weeks after MRI, performed by one or two radiologists with expertise on breast imaging. Lesions were evaluated according to the established Breast Imaging Report and Data System (BI-RADS) lexicon.

Results

Targeted US identified 46/68 (67.6%) lesions revealed by MRI. No significant associations were observed between US identification and the type of lesion, dimensions, morphological characteristics and enhancement pattern according to MRI findings. Targeted US identified 100% of BI-RADS category 5 lesions, 90% of category 4 lesions, and just over 50% of category 3 lesions (p < 0.05). There was significant agreement (p < 0.001) between MRI and US BI-RADS classification for all three categories.

Conclusion

Targeted US can identify a large proportion of the lesions detected by breast MRI, especially those at high risk of malignancy, when performed by a professional with experience in both breast US and MRI.     

MRI多参数成像在乳腺癌分子分型中的临床应用价值

目的 探讨基于MR多参数成像在乳腺癌分子分型中的临床应用价值.方法 选取经手术病理证实的112例乳腺癌患者的临床、MR多参数成像、以及免疫组织化学检查资料,提取病灶的MRI多参数成像特征,进一步对这些MRI特征进行分类分析,MR特征包括:病灶直径、形态、边缘、T2WI信号强度、强化方式、TIC曲线.不同乳腺癌分子分型的...     

DKI对动态增强时间-信号曲线呈平台型乳腺纤维腺瘤及乳腺癌的诊断价值

目的 探讨扩散峰度成像(DKI)对动态增强时间-信号曲线呈平台型的乳腺纤维腺瘤和乳腺癌的鉴别诊断价值.方法 选取DCE-TIC为平台型的20例(20个病灶)乳腺纤维腺瘤患者和61例(64个病灶)乳腺癌患者.测得病变的平均扩散峰度系数(MK)和平均扩散系数(MD)以及ADC值,观察病变形态和强化特征.以病理结果为金标准,...