前列腺中央腺体偶发癌与中央腺体癌的MR扩散加权成像

目的:运用MR扩散加权成像对前列腺中央腺体偶发癌和中央腺体癌的表现扩散系数值(ADC值)进行定量分析.方法:回顾性分析8例前列腺中央腺体偶发癌和32例中央腺体癌患者病例资料,比较两者ADC值.结果:①中央腺体ADC值:前列腺中央腺体偶发癌组与中央腺体癌组分别为(1.48±0.18)×10-3mm2/s、(1.20±0....     

扩散加权成像鉴别前列腺癌及良性前列腺增生的价值

目的探讨良性前列腺增生(BPH)和前列腺癌(PCa)的扩散加权成像(DWI)和表观扩散系数(ADC)图表现,及对PCa的鉴别诊断价值。方法分析18例BPH和25例PCa的DWI和ADC图表现,并分别测量癌肿区的ADC值及BPH的外周带(PZ)及中央腺体(CG)的ADC值,比较其间是否存在差异。结果BPH的DWI和ADC图上PZ信号近似均一,CG信号欠均匀。PCa在DWI上呈高信号,ADC图呈低信号,均能直观显示癌灶范围。受侵犯的精囊和骨盆骨转移灶DWI上呈高信号,ADC图呈低信号。PCa的ADC值[(0．49±0．09)×10-3mm2／s]与BPH的PZ及CG的ADC值[(1．27±0．14)×10-3mm2／s、(0．96±0．14)×10-3mm2／s]比较,差异均有统计学意义(t值分别为-52．46、-31．49,P值均<0．01),PCa的ADC值与BPH的PZ无重叠,与CG也仅有少量重叠(1／127,0．7％)。结论DWI和ADC图可显示PCa位置、范围及周围侵犯、转移情况;根据DWI和ADC图上病变的信号特点及ADC值可以鉴别BPH和PCa。     

磁共振扩散加权成像在前列腺疾病中的应用

目的 探讨磁共振扩散加权成像在前列腺疾病中的应用价值.方法 对29例前列腺疾病患者(前列腺增生22例,前列腺癌7例)进行扩散加权成像,并测量表观扩散系数值(ADC值).结果 前列腺增生的中央叶及外围叶的ADC值分别为(1.95±0.09)×10-3mm2/s和(2.69 ±0.12)×10-3mm2/s,而前列腺癌灶与邻近未被癌组织侵及的中央叶及外围叶的ADC值分别为(1.26±0.08)×10-3mm2/s,(1.93±0.07)×10-3mm2/s和(2.61 ±0.07)×10-3mm2/s.前列腺增生病变中中央叶及外围叶的ADC值之间有统计学差异(t=23.09,P＜0.05);前列腺癌灶的ADC值分别与邻近未被癌组织侵及的中央叶及外围叶的ADC值之间存在统计学差异(t=15.50,P＜0.05;t=30.56,P＜0.05),同时前列腺癌灶与前列腺增生病变组中的中央叶及外围叶的ADC值之间亦分别存在着统计学差异(t=17.63,P＜0.05;t=27.09,P＜0.05).结论 磁共振扩散加权成像对前列腺疾病的诊断及鉴别诊断有一定的价值.     

MR扩散加权成像在前列腺病变中的诊断价值

目的：探讨DWI在前列腺病变诊断中的价值。方法：分别对30例前列腺癌（PCa）、30例良性前列腺增生（BPH）患者和30名健康志愿者进行前列腺DWI扫描,分析三者的DWI图、ADC图的信号表现,以及癌灶、增生结节灶、正常前列腺的ADC值,以及前两者病灶ADC值与其周围正常外周带ADC值的相对比值变化规律。所有BPH和PCa病例均经手术或穿刺活检病理证实。结果：①PCa、BPH患者和健康志愿者（各30例）DWI表现：PCa表现为高信号影为主;增生结节呈稍高信号为主,强度低于外周带,并且信号不均匀;健康志愿者外周带呈稍高信号为主,中央带呈等信号为主,外周带信号高于中央带,二者分界清晰;②PCa癌灶平均ADC值（0.878±0.056）×10^-3mm^2/s;BPH增生结节灶平均ADC值（1.379±0.201）×10^-3mm^2/s;健康者前列腺中央带平均ADC值（1.287±0.041）×10^-3mm^2/s;健康者前列腺外周带平均ADC值（1.636±0.064）×10^-3mm^2/s;③PCa癌灶、BPH增生结节灶（各30例）的平均ADC值与其周围正常外周带ADC值的相对比值平均分别为0.54±0.05,0.85±0.06。结论：正常前列腺外周带、BPH、正常前列腺中央带、PCa在DWI图像上信号有较大差别,PCa癌灶信号最高。正常前列腺外周带、BPH、正常前列腺中央带、PCa癌灶的ADC值依次下降。BPH、PCa癌灶ADC值与其周围正常外周带组织ADC值的相对比值有明显差别。ADC值≤0.97×10^-3mm^2/s,特别是同时ADC相对比值≤0.62,是PCa DWI诊断的可靠依据,有临床诊断意义。     

基于高b值DWI的容积ROI直方图鉴别中央腺体前列腺癌与良性前列腺增生的价值

目的:探讨高b值磁共振弥散加权成像(diffusion-weighted imaging,DWI)的表观弥散系数(apparent diffusion coefficient,ADC)的容积感兴趣区(volumetric region of interest,vROI)直方图鉴别中央腺体(central gland,CG)前列腺癌(prostatic carcinoma,PCa)与良性前列腺增生(benign prostatic hyperplasia,BPH)的价值。方法:回顾并分析2017年3月-2021年7月于辽阳辽化医院经前列腺标准b值(b=800 s/mm²)和高b值(b=1500 s/mm²)DWI扫描且经病理学检查证实的59例PCa患者(62个病灶)和80例BPH患者(80个病灶)。在美国GE公司的AW4.6工作站上对标准b值和高b值的DWI图进行后处理,分别获得ADC₈₀₀和ADC₁₅₀₀。利用Fire Voxel软件,分别在ADC₈₀₀和ADC₁₅₀₀图像的每一层面沿着病灶边缘勾画ROI,再将这些ROI融合成vROI。随后对vROI进行直方图分析,获得直方图参数ADC_{800-mean、std、min、1th、5th、10th、25th、50th、75th、90th、95th、max、ske、kur}和ADC_{1500-mean、std、min、1th、5th、10th、25th、50th、75th、90th、95th、max、ske、kur}。采用组内相关系数(interclass correlation coefficient,ICC)检验2名医师所测结果的一致性;采用独立样本t检验或Mann-Whitney U检验比较各参数的差异;绘制受试者工作特征(receiver operating characteristic,ROC)曲线,评价诊断效能,采用DeLong检验比较两种b值所得参数的曲线下面积(area under curve,AUC)的差异。结果:2名医师测得结果一致性良好(ICC>0.75);PCa的ADC_{800-min、5th、10th、25th}、ADC_{1500-mean、min、5th、10th、25th、50th}低于BPH;ADC_{1500-mean、min、5th、10th}的AUC高于相应的直方图参数ADC_{800-mean、min、5th、10th},差异有统计学意义(P<0.05)。结论:基于高b值的DWI的vROI直方图能够鉴别发生于CG的PCa和BPH,其诊断效能高于基于标准b值所得结果。     

前列腺中央腺体偶发癌与良性前列腺增生的MR波谱代谢特征初步研究

目的 以三维质子磁共振波谱分析(magnetic resonance spectroscopy,MRS)的方法定量分析前列腺中央腺体偶发癌(IDPC)与良性前列腺增生(BPH)的代谢特征.方法 对103例行尿道前列腺切除术(transurethral resection of the prostate,TURP)的前列腺中央腺体偶发癌和良性前列腺增生患者做回顾性分析,比较两者(胆碱+肌酸)/枸橼酸盐[(Cho+Cre)/Cit,CC/C]值,然后再根据病理结果将良性前列腺增生的患者分为3组:以腺体增生为主型4例,以间质增生为主型30例、混合型增生62例,比较中央腺体偶发癌组与各组增生之间CC/C值.结果 ①前列腺中央腺体偶发癌组的CC/C比值(1.04±0.28)与良性前列腺增生组(1.09±0.59)差异无统计学意义(t=-0.217,P=0.829).②中央腺体偶发癌组CC/C比值小于以间质增生为主型(1.31±0.94),大于以腺体增生为主型(1.00±0.03)和混合型增 生组(0.99±0.31),组间比较差异无统计学意义(χ2=2.595,P=0.458).结论 MRS不能鉴别前列腺中央腺体偶发癌与良性前列腺增生.     

正常的前列腺中央带和前列腺癌侵犯的中央带:临床及MR成像意义

目的描述前列腺中央带在MRT2加权和扩散加权成像(DWI)上的解剖学特征,评价MRI在检出前列腺癌中央带受侵中的诊断表现。材料与方法本研究为回顾性研究,符合HIPAA法案,经机构审查委员会批准,免除病人知情同     

良性前列腺增生的ADC值定量分析

目的运用MR扩散加权成像对不同类型良性前列腺增生的ADC值进行定量分析,并与前列腺癌ADC值进行比较。方法17例行经尿道前列腺电切术的良性前列腺增生患者,在术前3个月内均进行了前列腺DWI检查。采用单次激发EPI序列,b值为0 s/mm2和800 s/mm2,电切术后对标本进行了组织学分类,将增生组织分为腺体型增生和间质型增生,并分别测量其ADC值。另外还选取了15例穿刺活检证实的前列腺癌病人,测量其癌区的ADC值。对所得3组数值进行统计学分析。结果腺体型增生、间质型增生、前列腺癌的ADC值分别为(1.80±0.20)×10-3mm2/s、(1.56±0.18)×10-3mm2/s、(1.27±0.21)×10-3mm2/s,3组间具有统计学差异(F=47.366,P<0.01,one-way ANOVA),两两比较也具有统计学意义(P值均<0.01)。腺体增生和间质增生间有62%的ADC值重叠,腺体增生和癌之间有22%的ADC值重叠,间质增生与癌之间有57%的ADC值重叠。结论用ADC值可以定量评价不同类型的良性前列腺增生,增生与前列腺癌的ADC值有统计学差异,但存在部分重叠,以间质型增生重叠较明显。     

磁共振扩散加权成像和ADC值在前列腺癌诊断中的应用价值

目的探讨磁共振扩散加权成像（DWI）及表观扩散系数（ADC）在前列腺癌诊断中的应用价值。资料与方法回顾分析经组织病理学证实的前列腺癌49例患者资料,DWI采用单次激发平面回波序列（EPI）。感兴趣区（ROI）包括前列腺癌、前列腺良性增生（BPH）和正常前列腺周围带,并计算相应的ADC值。结果49例前列腺癌患者血清前列腺特异抗原（PSA）平均为49.1ng/ml。肿瘤病灶ROI的ADC值在X、Y和Z轴方向分别有41、9和13例获得;前列腺良性增生分别在3个方向为39、11和13例;正常前列腺周围带为31、9和10例。前列腺癌在X、Y和Z轴方向平均ADC值分别为2.282×10^-3mm^2/s、2.293×10^-3mm^2/s和3.017×10^-3mm^2/s;BPH各个方向平均ADC值分别为2.559×10^-3mm^2/s、2.812×10^-3mm^2/s和3.585×10^-3mm^2/s;正常前列腺外周区组织3个方向的平均ADC值分别为2.892×10^-3mm^2/s、3.303×10^-3mm^2/s和4.112×10^-3mm^2/s。前列腺癌在X轴方向的ADC值明显低于相同方向前列腺增生和正常周围带的ADC值（P〈0.005）。结论DWI和ADC值在前列腺癌的诊断中应用方便、易行,ADC值是区别前列腺癌组织和非肿瘤组织的可靠指标。     

良性肝细胞病变的高b值扩散加权MR成像:定性与定量分析

目的分析良性肝细胞病变在高b值扩散加权MR成像中的信号强度(SI),并比较局灶性结节增生(FNH)与肝细胞腺瘤(HCA)的表观扩散系数(ADC)。材料与方法本回顾性研究获机构审查委员会批准,免除知情同意。入选标准为诊断FNH或HCA的连续病人,接受3种b值(0、150、     

Discrimination of prostate cancer from normal peripheral zone and central gland tissue by using dynamic contrast-enhanced MR imaging

PURPOSE: To evaluate which parameters of dynamic magnetic resonance (MR) imaging and T2 relaxation rate would result in optimal discrimination of prostatic carcinoma from normal peripheral zone (PZ) and central gland (CG) tissues and to correlate these parameters with tumor stage, Gleason score, patient age, and tumor markers. MATERIALS AND METHODS: Of 58 patients with prostatic carcinoma, 36 were included for analysis. Patients underwent MR imaging at 1.5 T with an endorectal-pelvic phased-array coil and subsequently underwent prostatectomy. A T2-weighted turbo spin-echo sequence, an intermediate-weighted sequence, and a fast T1-weighted gradient-echo sequence (seven sections in 2.03 seconds) during bolus injection of 0.1 mmol gadopentetate dimeglumine per kilogram of body weight were performed. Contrast agent concentration-time curves were obtained for prostatic carcinoma and normal PZ and CG tissue by using whole-mount sections to guide placement of regions of interest. Onset time, time to peak, peak enhancement, relative peak enhancement, washout, and T2 relaxation rates were calculated. Multivariate receiver operating characteristic analysis was performed with and without relative peak enhancement. RESULTS: Results of multivariate receiver operating characteristic analysis showed that relative peak enhancement demonstrated the highest area under the receiver operating characteristic curve (AUC) in the PZ and the CG (AUC = 0.93, 0.82). Results of multivariate analysis without relative peak enhancement showed that relative peak enhancement in the PZ and washout in the CG demonstrated the highest AUC (AUC = 0.9, 0.81). Pearson correlation coefficients between the dynamic parameters or T2 relaxation rates in carcinoma and the tumor stage, Gleason score, patient age, and tumor markers ranged between 0.02 and 0.44. CONCLUSION: The optimal parameter for discrimination of prostatic carcinoma in the PZ and CG was relative peak enhancement. If relative peak enhancement was not used, then peak enhancement was optimal in the PZ, and washout was optimal in the CG. Poor-to-moderate correlation was present between the dynamic parameters or T2 relaxation rate in carcinoma and the tumor stage, Gleason score, patient age, tumor volume, and prostate-specific antigen.     

前列腺癌与良性前列腺增生症的MR动态增强与血管生成的相关性研究

目的　研究MR动态增强对前列腺癌与良性前列腺增生的诊断价值 ,并初步探讨MR动态增强表现特征与血管生成的相关关系。方法　对 32例前列腺癌和 4 0例良性前列腺增生 (BPH)的患者进行常规MR平扫和动态增强扫描 ,观察病灶的动态增强MRI特征并绘制信号强度 时间曲线(SI T曲线 ) ,SI T曲线分成 3型 :Ⅰ型为信号强度早期增高后仍持续增高 ;Ⅱ型为信号强度早期增高后出现平台期 ;Ⅲ型为信号强度早期增高后出现下降期。获得感兴趣区的病理标本 ,并进行苏木素 伊红 (HE)染色及免疫组织化学血管内皮生长因子 (VEGF)和微血管密度 (MVD)测定 ,比较分析动态增强参数及曲线类型与VEGF、MVD的相关关系。结果　前列腺癌MRI动态增强的早期强化参数开始时间、最大信号强度及早期强化率与BPH不同 (P分别为 <0 0 1、0 0 5、0 0 1 ) ,但两者之间有部分重叠。动态增强MRI中后期的强化特征即SI T曲线类型中 ,前列腺癌组 :Ⅰ型曲线 3例、Ⅱ型曲线 8例、Ⅲ型曲线 2 1例 ;BPH组 :Ⅰ型曲线 1 8例、Ⅱ型曲线 1 9例、Ⅲ型曲线 3例 ,前列腺癌以Ⅲ型曲线为主 ,Ⅱ型曲线既可见于前列腺癌又可见于BPH ,Ⅰ型曲线多见于BPH。前列腺癌与BPH的SI T曲线类型的差异具有统计学意义 (P <0 0 0 1 )。前列腺癌的VEGF和MVD的测定水平高于BPH (     

Prostate cancer localization with dynamic contrast-enhanced MR imaging and proton MR spectroscopic imaging

PURPOSE: To prospectively determine the accuracies of T2-weighted magnetic resonance (MR) imaging, dynamic contrast material-enhanced MR imaging, and quantitative three-dimensional (3D) proton MR spectroscopic imaging of the entire prostate for prostate cancer localization, with whole-mount histopathologic section findings as the reference standard. MATERIALS AND METHODS: This study was approved by the institutional review board, and informed consent was obtained from all patients. Thirty-four consecutive men with a mean age of 60 years and a mean prostate-specific antigen level of 8 ng/mL were examined. The median biopsy Gleason score was 6. T2-weighted MR imaging, dynamic contrast-enhanced MR imaging, and 3D MR spectroscopic imaging were performed, and on the basis of the image data, two readers with different levels of experience recorded the location of the suspicious peripheral zone and central gland tumor nodules on each of 14 standardized regions of interest (ROIs) in the prostate. The degree of diagnostic confidence for each ROI was recorded on a five-point scale. Localization accuracy and ROI-based receiver operating characteristic (ROC) curves were calculated. RESULTS: For both readers, areas under the ROC curve for T2-weighted MR, dynamic contrast-enhanced MR, and 3D MR spectroscopic imaging were 0.68, 0.91, and 0.80, respectively. Reader accuracy in tumor localization with dynamic contrast-enhanced imaging was significantly better than that with quantitative spectroscopic imaging (P < .01). Reader accuracy in tumor localization with both dynamic contrast-enhanced imaging and spectroscopic imaging was significantly better than that with T2-weighted imaging (P < .01). CONCLUSION: Compared with use of T2-weighted MR imaging, use of dynamic contrast-enhanced MR imaging and 3D MR spectroscopic imaging facilitated significantly improved accuracy in prostate cancer localization.     

3.0T动态对比增强MRI对前列腺癌与前列腺增生的鉴别价值

目的 探讨动态对比增强磁共振成像(DCE-MRI)半定量及定量参数对前列腺癌(PCa)与前列腺增生(BPH)的鉴别价值.方法 本研究经医院伦理委员会批准,回顾性分析于本院行DCE-MRI扫描,并经病理证实的PCa患者24例(69.79岁±8.21岁)、BPH患者22例(69.77岁±10.36岁).扫描序列包括横轴位T1WI、T2WI及DCE-MRI.测量PCa及BPH病变半定量值:MxSlp、washout、AUC90、AUC180;定量值:转运常数(Ktrans)、速率常数(Kep)及血管外细胞外容积比(Ve)值.使用独立样本f检验比较以上各值,使用受试者工作特征曲线(ROC)评估各值对PCa和BPH的鉴别效能.结果 PCa与BPH的MxSlp、washout、AUC90、AUC180值间差异均无统计学意义(29.76±83.58 vs 8.65±4.51、1.29±3.36 vs 0.14±0.37、14.96±5.76 vs 12.76±4.21、28.80±14.08 vs 26.13±8.40),P值分别为0.243、0.117、0.150、0.443.PCa的Ktrans及Kep值均高于BPH[(0.36±0.11) min-1vs(0.24±0.11)min-1、(1.93±0.89) min-1vs (1.20±0.57) min-1)],P值分别为0.001、0.002.PCa与BPH的Ve值间差异无统计学意义(0.23±0.11 vs 0.25士0.18),P值为0.604.Ktrans及Kep值诊断PCa的曲线下面积(AUC)分别为0.813、0.737,当Ktrans值≥0.273 min-1,Kep值≥1.595 min-1时诊断PCa的灵敏度和特异度分别为79.2％和82.7％、62.5％和86.4％.结论 DCE-MRI可为PCa与BPH鉴别提供较可靠的定量值.     

Differentiation of prostatic carcinoma and benign prostatic hyperplasia: correlation between dynamic Gd-DTPA-enhanced MR imaging and histopathology

One of the major factors limiting the staging accuracy of conventional magnetic resonance imaging (MRI) for prostatic carcinoma, is the similarity in signal intensity between tumor and coexisting benign prostatic hyperplasia (BPH). As neovascularity is an independent indicator of pathological state, dynamic contrast-enhanced MRI may yield additional information. This study correlates the histopathological findings from 12 radical prostatectomy patients on a region-by-region basis, with pharmacokinetic modeling of dynamic contrast-enhanced (0.2 mmol dimeglumine gadopentetate/kg), fast multiplanar spoilt gradient-recalled echo images, using a two-compartment simplex minimization technique. Quantitative analysis demonstrated differences in the amplitude of the initial contrast upslope and contrast exchange rate between tumor and fibromuscular BPH (P<0.03 and P<0.03, respectively) and for the contrast exchange rate between tumor and fibroglandular BPH (P<0.04), providing improved delineation of intraprostatic tumor extent compared with conventional imaging techniques.     

Non-mass-like enhancement on contrast-enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images

Purpose

To evaluate the diagnostic accuracy of a combination of dynamic contrast-enhanced MR imaging (DCE-MRI) and diffusion-weighted MR imaging (DWI) in characterization of lesions showing non-mass-like enhancement on breast MR imaging and to find the strongest discriminators between carcinoma and benignancy.

Materials and methods

We analyzed consecutive MR images in 45 lesions showing non-mass like enhancement in 41 patients. We analyzed lesion size, distribution, internal enhancement, kinetic curve pattern, and apparent diffusion coefficient (ADC) values. We applied univariate and multivariate analyses to find the strongest indicators for malignancy. In a validation study, 22 non-mass-like enhancement lesions in 21 patients were examined. We calculated diagnostic accuracy when we presume category 4b, 4c, and 5 lesions as malignant or high to moderate suspicion for malignancy, and category 4a and 3 as low suspicion for malignancy or benign.

Results

Segmental distribution (P = 0.018), clumped internal enhancement (P = 0.005), and ADC less than 1.3 × 10⁻³ mm²/s (P = 0.047) were the strongest MR indicators of malignancy. In a validation study, sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 87% (13/15), 86% (6/7), 93% (13/14), 75% (6/8) and 86% (19/22), respectively.

Conclusion

The combination of DCE-MRI and DWI showed high diagnostic accuracy in characterization of non-mass-like enhancement lesions on breast MR images.     

Intravoxel incoherent motion diffusion-weighted MR imaging in differentiation of lung cancer from obstructive lung consolidation: comparison and correlation with pharmacokinetic analysis from dynamic contrast-enhanced MR imaging

Objectives

To test whether parameters derived from intravoxel incoherent motion (IVIM) can be used to distinguish lung cancer from obstructive pulmonary consolidation by comparing them with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-derived parameters and to evaluate the correlation between these quantitative parameters.

Methods

A total of 31 lung cancer patients, confirmed by pathology and obstructive consolidations confirmed by positron emission tomography/computed tomography (PET-CT), were recruited. All of them were assessed with structural MRI and IVIM and 17 of them underwent additional DCE-MRI examinations. Parameters derived from IVIM and DCE-MRI in the tumour and consolidation were analysed, and the optimal cut-off values in differential diagnosis were obtained.

Results

ADC_total, D and f values were lower (P?<?0.05), while IAUC₆₀ was higher in lung cancers (P?=?0.013) compared with obstructive pulmonary consolidations. According to the ROC curve, ADC_total outperformed other perfusion and diffusion parameters with the optimal cut-off value of 1.409?×?10^-3 mm²/s (AUC?=?0.95). Poor correlations were found between parameters derived from IVIM and DCE-MRI.

Conclusions

IVIM-MRI is potentially useful in the differentiation of lung cancer and obstructive pulmonary consolidation. ADC_total, D and f may be reliable independent discriminating markers, but D ^* is variable with low diagnostic accuracy.

Key Points

? Lung cancer and consolidation differentiation is essential for treatment decision-making. ? Perfusion and diffusion characteristics of lesions could help differential diagnosis. ? IVIM can separate reflection of tissue diffusivity and microcapillary perfusion. ? The relationship between perfusion quantified by IVIM and DCE-MRI is controversial.     

Enhanced mass on contrast-enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images

Purpose

To evaluate the diagnostic accuracy of a combination of dynamic contrast‐enhanced MR imaging (DCE‐MRI) and diffusion‐weighted MR imaging (DWI) in characterization of enhanced mass on breast MR imaging and to find the strongest discriminators between carcinoma and benignancy.

Materials and Methods

We analyzed consecutive breast MR images in 270 patients; however, 13 lesions in 93 patients were excluded based on our criteria. We analyzed tumor size, shape, margin, internal mass enhancement, kinetic curve pattern, and apparent diffusion coefficient (ADC) values. We applied univariate and multivariate analyses to find the strongest indicators of malignancy and calculate a predictive probability for malignancy. We added the corresponding categories to these prediction probabilities for malignancy and calculated diagnostic accuracy when we consider category 4b, 4c, and 5 lesions as malignant and category 4a, 3, and 2 lesions as benign. In a validation study, 75 enhancing lesions in 71 patients were examined consecutively.

Results

Irregular margin, heterogeneous internal enhancement, rim enhancement, plateau time–intensity curve (TIC) pattern, and washout TIC pattern were the strongest indicators of malignancy as well as past studies, and ADC values less than 1.1 × 10^?3 mm²/s were also the strongest indicators of malignancy. In a validation study, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 92% (56/61), 86% (12/14), 97% (56/58), 71% (12/17), and 91% (68/75), respectively.

Conclusion

The combination of DWI and DCE‐MRI could produce high diagnostic accuracy in the characterization of enhanced mass on breast MR imaging. J. Magn. Reson. Imaging 2008;28:1157–1165. © 2008 Wiley‐Liss, Inc.

     

非小细胞肺癌:MR动态对比增强与扩散加权成像检测肺癌对化疗的早期反应

目的评估MR动态对比增强成像和扩散加权成像检测非小细胞肺癌(NSCLC)病人对化疗早期反应的能力。材料与方法本研究经机构审查委员会审批并获得受试者书面