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Value of Apparent Diffusion Coefficient(ADC) of Diffusion eighted Magnetic Resonance Imaging in Common Renal Disease Diagnosis
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作者 Yuelang Zhang Xingwang Sun Guangnan Quan Yongqian Qiang Chenxia Li 《Journal of Nanjing Medical University》 2008年第6期362-365,共4页
Objective:To find the value of the apparent diffusion coefficient (ADC) of diffusion weighted magnetic resonance imaging of common renal diseases. Methods: There were 30 healthy subjects and 81 patients with renal... Objective:To find the value of the apparent diffusion coefficient (ADC) of diffusion weighted magnetic resonance imaging of common renal diseases. Methods: There were 30 healthy subjects and 81 patients with renal lesions (56 cases of renal carcinoma, 18 lesions of 12 cases of renal angiomyolipomal and 21 lesions of 13 cases of renal cysts). Conventional magnetic resonance imaging and diffusion weighted magnetic resonance imaging were carried out. We measured the average ADC value of the renal lesions and normal kidneys. ADC maps from different b values were generated by a statistical package. Results: The ADC values of normal kidneys with three different motion-probing gradients(b=500, 800, 1000 sec/mm^2) were 2.78 ± 0.14 × 10^-3mm^2s^-1, 2.45 ± 0.13 × 10^3mm^2s^-1, 2.13 ± 0.14 × 10^-3mm^2s^-1, respectively. The ADC values of renal cell carcinoma with three different motion-probing gradients(b=500, 800, 1000 sec/mm^2) were 1.63 ± 0.14 × 10^3mm^2s^-1, 1.31 ± 0.18 × 10^3mm^2s^-, 1.07 ± 0.15 × 10^-3mm^2s^-1, respectively. Among the renal cell carcinoma, the ADC value of clear cell type were 1.67 ± 0.09 × 10^3mm^2s^-1, 1.36 ± 0.13 × 10^3mm^2s^-1, 1.15 ± 0.14 × 10^3mm^2s^-1,respectively; the ADC values of granular cell type were 1.59±0.19 × 10^3mm^2s^-1, 1.25 ± 0.22 × 10^3mm^2s^-1, 0.97 ± 0.12 × 10^3mm^2s^-1, respectively. The ADC values of renal angiomyolipoma with three different motion-probing gradients(b=500, 800,1000 sec/mm^2) were 0.88 ± 0.08 × 10^3mm^2s^-1, 0.63 ± 0.07 × 10^3mm^2s^-1, 0.43 ± 0.04 × 10^3mm^2s^-1, respectively. The ADC values of renal cystic lesions with three different motionprobing gradients(b=500, 800, 1000 sec/mm^2) were 3.73 ± 0.18 × 10^3mm^2s^-1, 3.44 ± 0.13 × 10^3mm^2s^-1, 3.09± 0.21 × 10^3mm^2s^-1, respectively. Statistically significant differences exists between the ADC values of normal kidney, renal carcinomas, renal angiomyolipomas and renal cysts when the b value is the same. Among the different cell types of renal carcinomas, the ADC value of granular cell carcinoma is lower than that of clear cell carcinomas. Conclusion: It is of benefit in diagnosing and distinguishing between benign and malignant renal tumors to know the ADC values in diffusion weighted magnetic resonance imaging. Furthermore, these values help to know the internal structure of the tumor and the tumor typel, which is helpful to the treatment and in predicting the patient' s prognosis. 展开更多
关键词 diffusion weighted imaging apparent diffusion coefficient renal cell carcinoma renal angiomyolipoma Renal cyst
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基于T_(2)WI联合ADC的影像组学模型对结直肠癌肿瘤沉积的预测价值
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作者 尚新芳 孟令雷 +2 位作者 任少辉 李少腾 高凤霄 《放射学实践》 北大核心 2025年第9期1139-1146,共8页
目的:基于T2WI联合表观扩散系数(ADC)的影像组学模型对结直肠癌肿瘤沉积的预测价值。方法:随机抽取2022年1月-2023年12月本院收治的189例结直肠癌患者作为研究对象,以3:1比例将患者随机分为建模组(n=142)和验证组(n=47),搜集两组患者的... 目的:基于T2WI联合表观扩散系数(ADC)的影像组学模型对结直肠癌肿瘤沉积的预测价值。方法:随机抽取2022年1月-2023年12月本院收治的189例结直肠癌患者作为研究对象,以3:1比例将患者随机分为建模组(n=142)和验证组(n=47),搜集两组患者的临床资料及MRI图像,在高分辨T2WI图像上手动分割图像,由软件自动生成三维容积感兴趣区,提取影像组学特征,采用传统单指数模型计算ADC。采用LASSO算法筛选出与结直肠癌肿瘤沉积相关的最佳组学特征,构建Rad评分。基于建模组患者临床资料及Rad评分,进行单因素和多因素分析,再以多因素分析结果为基础,构建列线图模型,验证该模型的预测效能及临床效用。结果:共提取影像组学特征856个,经筛选,最终T2WI图像纳入影像组学特征22个,ADC图像纳入影像组学特征16个。建模组与验证组患者的临床资料差异均无统计学意义(P>0.05)。多因素分析结果显示,N1分期(OR=7.195,95%CI:2.154~24.027)、N2分期(OR=3.907,95%CI:1.229~12.423)、CEA>5 ng/mL(OR=3.227,95%CI:1.218~8.551)、CA19-9>37 U/mL(OR=5.903,95%CI:1.493~23.328)、Rad评分(OR=374.103,95%CI:28.017~4995.216)均为结直肠癌肿瘤沉积的独立危险因素。ROC曲线分析结果显示,建模组和验证组预测结直肠癌肿瘤沉积的AUC分别为0.862(95%CI:0.790~0.934)和0.801(95%CI:0.652~0.949),Hosmer-Lemeshow检验结果显示,χ^(2)=4.865(P=0.772)。DCA曲线分析结果显示,建模组风险阈值在0.075~0.400之间和验证组风险阈值在0.100~0.680之间时,列线图模型比均发生和未发生获得更多净收益;CIC曲线分析结果显示,建模组风险阈值在0~0.40之间和验证组风险阈值在0~0.75之间时,列线图模型预测肿瘤沉积高风险例数高于发生肿瘤沉积的高风险例数;外部验证结果显示,AUC为0.832(95%CI:0.744~0.921),Hosmer-Lemeshow检验χ^(2)=13.520(P=0.095)。结论:基于T2WI联合ADC的影像组学模型有助于结直肠癌肿瘤沉积的术前预测,可为临床调整治疗策略提供参考依据。 展开更多
关键词 结直肠癌 肿瘤沉积 磁共振成像 T2加权成像 表观扩散系数 列线图模型
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术前ADC图纹理特征对胰腺癌病理分期的预测价值
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作者 金红瑞 刘静静 +2 位作者 黄梦月 张勇 程敬亮 《中华实用诊断与治疗杂志》 2025年第6期522-527,共6页
目的基于胰腺癌患者术前弥散加权成像(DWI)的表观弥散系数(ADC)图纹理特征参数构建机器学习模型,探讨其对胰腺癌病理分期的预测价值。方法2018年2月—2022年2月郑州大学第一附属医院诊治胰腺癌患者122例,依据美国癌症联合委员会(AJCC)... 目的基于胰腺癌患者术前弥散加权成像(DWI)的表观弥散系数(ADC)图纹理特征参数构建机器学习模型,探讨其对胰腺癌病理分期的预测价值。方法2018年2月—2022年2月郑州大学第一附属医院诊治胰腺癌患者122例,依据美国癌症联合委员会(AJCC)分期分为早期组(Ⅰ期)75例和中晚期组(Ⅱ~Ⅲ期)47例。患者术前均行腹部MRI检查,DWI选择单次激发平面回波序列,自动生成ADC图像,由2名放射科医师分别对所有患者图像进行独立分析;提取图像中直方图参数(8个)、灰度游程矩阵参数(7个)、灰度共生矩阵参数(11个)。2名医师测量参数的一致性评价采用组内相关系数,筛选出一致性良好的纹理特征参数;根据筛选出的纹理特征参数构建预测胰腺癌病理分期的支持向量机(SVM)、多元逻辑回归(MLR)、多任务学习(MTL)模型,绘制ROC曲线,评估3个模型预测胰腺癌病理分期的效能;绘制ROC曲线,评估MLR模型、ADC10、差熵预测胰腺癌病理分期的效能,AUC比较采用Delong检验。结果26个纹理特征参数中15个参数一致性良好(组内相关系数均≥0.75)。中晚期组直方图参数中均值、熵、ADC10[3.49(3.38,3.67)、4.41(4.27,4.86)、1.12(0.91,1.22)],灰度游程矩阵参数中长游程补偿、游程百分比[73.65(34.87,85.66)、0.82(0.41,0.84)],灰度共生矩阵参数中和熵、联合熵、差熵、对比度[5.65(3.81,6.19)、7.15(4.75,8.83)、3.76(3.22,4.12)、59.39(31.68,66.85)]均高于早期组[3.17(3.21,3.52)、3.85(3.36,4.13)、0.87(0.65,0.92)、53.22(32.51,76.83)、0.65(0.33,0.78)、4.27(3.74,5.36)、6.16(4.27,7.83)、3.34(3.12,3.94)、41.75(26.52,51.68)](Z=2.685~8.369,P均<0.05),灰度游程矩阵参数中短游程补偿[27.48(14.62,36.54)]、灰度共生矩阵参数中逆方差[3.52(3.38,4.17)]均低于早期组[33.21(18.29,41.47)、3.89(3.43,4.97)](Z=2.174,P=0.032;Z=2.109,P=0.037)。根据直方图、灰度游程矩阵、灰度共生矩阵中一致性良好的纹理特征参数构建预测胰腺癌病理分期的SVM、MLR、MTL模型,3个模型中选择频率前4位的参数均包含ADC10和差熵。ROC曲线分析结果显示,SVM、MLR、MTL模型以18.521、9.844、12.117为最佳截断值,预测胰腺癌病理分期的AUC分别为0.756(95%CI:0.717~0.814,P=0.018)、0.769(95%CI:0.729~0.836,P=0.011)、0.749(95%CI:0.711~0.803,P=0.024),灵敏度分别为73.60%、75.30%、74.10%,特异度分别为75.40%、73.80%、74.80%;MLR模型预测胰腺癌病理分期的AUC均大于SVM模型、MTL模型(Z=2.858,P=0.015;Z=3.461,P=0.012)。MLR模型、ADC10、差熵以9.844、0.966、3.502为最佳截断值,预测胰腺癌病理分期的AUC分别为0.769(95%CI:0.729~0.836,P=0.011)、0.681(95%CI:0.627~0.695,P=0.035)、0.655(95%CI:0.618~0.676,P=0.039),灵敏度分别为62.79%、75.30%、56.52%,特异度分别为74.68%、73.80%、72.37%;MLR模型预测胰腺癌病理分期的AUC均大于ADC10、差熵(Z=3.852,P=0.007;Z=4.133,P=0.002)。结论根据DWI的ADC图纹理特征参数构建的SVM、MLR、MTL模型均包含ADC10、差熵,MLR模型较SVM、MTL模型及ADC10、差熵预测胰腺癌病理分期的效能更高。 展开更多
关键词 胰腺癌 弥散加权成像 表观弥散系数 病理分期 纹理特征 机器学习
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MR DWI及ADC值在鼻咽癌患者颈部淋巴结性质鉴别诊断中的应用
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作者 马平 徐小明 叶德刚 《天津医药》 2025年第5期537-541,共5页
目的探究磁共振扩散加权成像(MR DWI)及表观扩散系数(ADC)对鼻咽癌患者颈部淋巴结性质的鉴别诊断价值。方法纳入98例鼻咽癌患者,其中经病理证实淋巴结恶性者65例,淋巴结良性者33例;病理诊断前均行MRI常规平扫、DWI检查,记录良恶性淋巴结... 目的探究磁共振扩散加权成像(MR DWI)及表观扩散系数(ADC)对鼻咽癌患者颈部淋巴结性质的鉴别诊断价值。方法纳入98例鼻咽癌患者,其中经病理证实淋巴结恶性者65例,淋巴结良性者33例;病理诊断前均行MRI常规平扫、DWI检查,记录良恶性淋巴结的ADC值,采用受试者工作特征(ROC)曲线评估其诊断价值,并比较MRI、ADC值鉴别鼻咽癌良恶性淋巴结的诊断效能。结果65例恶性淋巴结中42例伴有液化坏死,13例伴有包膜外侵犯,良性淋巴结在DWI上大部分无信号,恶性淋巴结呈明显的高信号或者混合信号。良性淋巴结ADC值为(1.724±0.365)×10^(-3)mm^(2)/s,高于恶性组的(1.022±0.210)×10^(-3)mm^(2)/s(P<0.01)。ROC曲线分析结果显示,ADC值诊断良恶性淋巴结的曲线下面积为0.843(95%CI:0.782~0.904),截断值为1.363×10^(-3)mm^(2)/s,此时鉴别诊断良恶性淋巴结的敏感度、特异度分别为0.856、0.849,约登指数为0.705。ADC值低于截断值时,鉴别鼻咽癌患者颈部淋巴结的准确度、敏感度和特异度分别为0.878、0.892和0.848,优于MRI(P<0.05)。结论鼻咽癌患者恶性淋巴结DWI上呈高信号,ADC值较低,ADC值对患者颈部淋巴结良恶性的鉴别诊断具有较高效能。 展开更多
关键词 鼻咽癌 淋巴结 磁共振成像 DWI adc
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基于磁共振ADC与PSAD建立逻辑回归模型预测有临床意义前列腺癌的价值
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作者 王伟 吉爱青 +3 位作者 王雅菁 王福国 稽卫英 王利伟 《中国CT和MRI杂志》 2025年第10期143-146,共4页
目的评估利用表观弥散系数(ADC)与前列腺特异性抗原密度(PSAD)建立的逻辑回归模型预测有临床意义前列腺癌(csPC)的价值。方法回顾性分析210例前列腺特异抗原(PSA)升高患者的磁共振(bpMRI)图像和临床资料,依据前列腺影像报告和数据系统2.... 目的评估利用表观弥散系数(ADC)与前列腺特异性抗原密度(PSAD)建立的逻辑回归模型预测有临床意义前列腺癌(csPC)的价值。方法回顾性分析210例前列腺特异抗原(PSA)升高患者的磁共振(bpMRI)图像和临床资料,依据前列腺影像报告和数据系统2.1版(PI-RADS V2.1)对MRI进行评分,并测量前列腺体积(PV)和ADC值,计算PSAD。建立Logistic回归模型进行多因素统计分析,评估预测csPC的指标变量。利用受试者工作特征曲线(ROC)对单个指标变量及联合指标变量的预测性能进行比较。结果210名患者中,前列腺良性病变患者49例,前列腺癌(PC)患者161例(csPC 146例)。PI-RADS、ADCmin、ADCmean、PV、PSA及PSAD预测csPC的ROC下面积(AUC)分别为0.88、0.85、0.84、0.70、0.68和0.78。ADC值及PSAD能够独立预测csPC。联合回归模型A(ADCmin+PSAD)、B(ADCmean+PSAD)对应的AUC分别为0.87、0.87,敏感度分别为77%、73%,特异度分别为88%、88%。结论ADC和PSAD对csPC具有独立预测价值,两者联合的预测模型优于单个独立预测变量指标。 展开更多
关键词 前列腺癌 前列腺增生 前列腺特异性抗原密度 表观扩散系数
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浸润性乳腺癌术前DCE-MRI定量参数及ADC值与术后2年结局的关系
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作者 蒋艳 谭仲俊 毛家仁 《中国中西医结合影像学杂志》 2025年第5期593-597,共5页
目的:探讨浸润性乳腺癌术前磁共振动态增强扫描(DCE-MRI)定量参数及ADC值与术后2年结局的关系。方法:回顾性分析行乳腺癌根治术的316例浸润性乳腺癌患者资料,术前均行DCE-MRI和DWI检查,获取相关参数:转运常数(K^(trans))、速率常数(K_(e... 目的:探讨浸润性乳腺癌术前磁共振动态增强扫描(DCE-MRI)定量参数及ADC值与术后2年结局的关系。方法:回顾性分析行乳腺癌根治术的316例浸润性乳腺癌患者资料,术前均行DCE-MRI和DWI检查,获取相关参数:转运常数(K^(trans))、速率常数(K_(ep))、血管外间隙容积分数(Ve)和ADC值。术后随访2年,根据患者预后分为预后不良组(30例)和预后良好组(286例)。比较2组术前DCE-MRI参数和ADC值。采用Pearson相关性分析评估浸润性乳腺癌术前DCE-MRI参数及ADC值与术后2年结局的关系;绘制ROC曲线评价术前DCE-MRI参数及ADC值对术后2年结局的预测效能。结果:预后不良组K^(trans)、K_(ep)和ADC值均高于预后良好组(均P<0.05);2组Ve值比较,差异无统计学意义(P>0.05)。Pearson相关性分析显示,浸润性乳腺癌术前K^(trans)、K_(ep)及ADC值与术后2年结局呈正相关(r=0.521,0.584,0.574;均P<0.05)。ROC曲线显示,术前K^(trans)、K_(ep)和ADC值联合对术后2年结局具有良好的预测价值,AUC为0.853,特异度和敏感度分别为0.766、0.800。结论:浸润性乳腺癌术前DCE-MRI参数K^(trans)、K_(ep)及ADC值与术后2年结局相关,三者联合有助于预测术后2年结局。 展开更多
关键词 乳腺肿瘤 磁共振成像 表观扩散系数 生存结局
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DCE-MRI定量参数联合ADC诊断外周带前列腺癌的临床价值
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作者 张圆 罗超 《中国卫生标准管理》 2025年第11期116-119,共4页
目的分析动态增强磁共振成像(dynamic contrast enhanced magnetic resonance imaging,DCE-MRI)定量参数与表观扩散系数(apparent diffusion coefficient,ADC)联合诊断外周带前列腺癌的价值。方法选取2022年4月—2024年4月丹江口市第一... 目的分析动态增强磁共振成像(dynamic contrast enhanced magnetic resonance imaging,DCE-MRI)定量参数与表观扩散系数(apparent diffusion coefficient,ADC)联合诊断外周带前列腺癌的价值。方法选取2022年4月—2024年4月丹江口市第一医院收治的168例患者为研究对象,其中83例外周带前列腺癌患者纳入观察组,85例前列腺炎患者纳入对照组,另将同期于丹江口市第一医院行体检的88名健康体检者纳入健康组,均行DCE-MRI、扩散加权成像(diffusion weighted imaging,DWI)扫描,对比3组速率常数(rate constant,K_(ep))、容积转运常数(volume transfer constant,K_(trans))、血管外细胞外间隙体积分数(fractional extravascular extracellular space volume,V_(e))及ADC值;另描绘受试者工作曲线(receiver operating characteristic curve,ROC),分析K_(ep)、K_(trans)、V_(e)及ADC值单独或联合诊断外周带前列腺癌的价值。结果观察组的K_(ep)为(0.78±0.16)min、K_(trans)为(0.61±0.13)min,高于对照组的(0.53±0.10)min、(0.28±0.05)min,健康组的(0.14±0.02)min、(0.18±0.01)min,差异有统计学意义(P<0.001);观察组的V_(e)为(0.14±0.02)、ADC为(0.82±0.19)×10^(-3)mm^(2)/s,低于对照组的(0.18±0.02)、(1.06±0.18)×10^(-3)mm^(2)/s,健康组的(0.38±0.06)、(1.34±0.15)×10^(-3)mm^(2)/s,差异有统计学意义(P<0.001)。ROC结果显示,K_(ep)、K_(trans)、V_(e)及ADC值联合诊断外周带前列腺癌的曲线下面积(area under the curve,AUC)高于四者单一诊断(P<0.001)。结论DCE-MRI定量参数联合ADC可有效地诊断出外周带前列腺癌,存在一定的诊断价值。 展开更多
关键词 外周带前列腺癌 动态增强磁共振成像 诊断 前列腺炎 定量参数 表观扩散系数
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全瘤ADC直方图参数联合影像生物标志物预测直肠腺癌神经脉管浸润的价值 被引量:1
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作者 王海升 袁隆 +6 位作者 朱凯博 席华泽 刘建强 雒攀 高榕 周俊林 刘宏 《磁共振成像》 北大核心 2025年第3期63-69,95,共8页
目的 探究基于全肿瘤表观扩散系数(apparent diffusion coefficient,ADC)直方图参数联合影像生物标志物预测直肠腺癌神经脉管浸润的价值。材料与方法 回顾性分析经病理证实为直肠腺癌的102例患者的术前临床及MRI资料,根据病理结果进行分... 目的 探究基于全肿瘤表观扩散系数(apparent diffusion coefficient,ADC)直方图参数联合影像生物标志物预测直肠腺癌神经脉管浸润的价值。材料与方法 回顾性分析经病理证实为直肠腺癌的102例患者的术前临床及MRI资料,根据病理结果进行分组,神经侵犯(perineural invasion,PNI)和脉管侵犯(lymphovascular invasion,LVI)中任意一项或两项阳性为PNI/LVI阳性组,两项均阴性为PNI/LVI阴性组。采用FireVoxel软件勾画感兴趣区(region of interest,ROI)后获得原发肿瘤的ADC直方图参数:ADC平均值(ADC-mean)、标准差、变异系数、熵、偏度和ADC第1、5、10、25、50、75、90、95、99百分位数(ADC-1%、ADC-5%、ADC-10%、ADC-25%、ADC-50%、ADC-75%、ADC-90%、ADC-95%、ADC-99%)。分析比较PNI/LVI阳性组和阴性组间ADC直方图参数、MRI评估壁外血管侵犯(MRI assessment extramural venous invasion,mrEMVI)状态、肿瘤位置、mrT分期、mrN分期之间的差异,通过单变量分析筛选出组间差异有统计学意义(P<0.05)的ADC直方图参数,并基于这些参数构建多因素logistic回归模型(ADC直方图模型);进一步联合单变量分析中差异有统计学意义(P<0.05)的非直方图参数进行多因素logistic回归,建立联合预测模型。利用受试者工作特征(receiver operating characteristic,ROC)曲线分析ADC直方图模型和联合模型的预测效能。采用De Long检验比较各模型间曲线下面积(area under the curve,AUC)的差异。结果 ADC-mean、标准差、ADC-1%、ADC-75%、ADC-95%、ADC-99%、mrEMVI在直肠腺癌PNI/LVI阳性组和阴性组之间差异有统计学意义(P<0.05),在连续变量中,ADC-99%效能最高(AUC、敏感度、特异度分别为0.835、77.1%、86.6%)。由ADC-mean、标准差、ADC-1%、ADC-75%、ADC-95%、ADC-99%、mrEMVI构建的联合模型的AUC、敏感度、特异度分别为0.918、89.6%、82.9%,其诊断效能优于直方图模型(AUC为0.898)及各全肿瘤ADC直方图参数(AUC为0.670~0.835)。联合模型与ADC直方图模型的AUC值差异无统计学意义,而两模型与各直方图参数的AUC值差异均有统计学意义(P<0.05)。结论 全肿瘤ADC直方图参数及影像标志物mrEMVI可用于术前直肠腺癌神经脉管状态的预测,尤其当两者联合时,对直肠腺癌神经脉管状态的预测价值更高。 展开更多
关键词 直肠腺癌 神经脉管浸润 磁共振成像 表面扩散系数 直方图 影像生物标志物
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MRI-ADC联合临床病理特征对结直肠癌微卫星不稳定性状态的研究 被引量:1
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作者 魏照坤 康玉洁 +6 位作者 彭乐平 张秀玲 张旭 马小梅 贾应梅 熊晟原 王莉莉 《磁共振成像》 北大核心 2025年第1期48-53,88,共7页
目的探讨MRI表观弥散系数(apparent diffusion coefficient,ADC)结合临床病理特征预测结直肠癌微卫星不稳定(microsatellite instability,MSI)状态应用价值。材料与方法回顾性分析经病理证实的144例结直肠癌患者的临床病理资料,所有患... 目的探讨MRI表观弥散系数(apparent diffusion coefficient,ADC)结合临床病理特征预测结直肠癌微卫星不稳定(microsatellite instability,MSI)状态应用价值。材料与方法回顾性分析经病理证实的144例结直肠癌患者的临床病理资料,所有患者术前均行全腹或盆腔MRI检查,并按照免疫组织化学(immunohistochemistry,IHC)结果分成MSI组和微卫星稳定(microsatellite stability,MSS)组,MSI组包括高度MSI(high-frequency MSI,MSI-H)状态和低度MSI(low-frequency MSI,MSI-L)状态病例。采用SPSS软件对患者临床基线资料进行比较,采用二元logistic回归行结直肠癌MSI危险因素分析。纳入多因素回归独立预测因素构建logistic回归诺模图模型。采用受试者工作特征(receiver operating characteristic,ROC)曲线评估ADC模型及ADC-临床病理特征联合模型的诊断效能,计算ROC曲线下面积(area under the curve,AUC),并以DeLong检验进行模型差异比较。使用校准曲线评估模型的预测准确度,使用决策曲线和影响曲线评价预测模型的临床适用性。结果纳入144名结直肠癌患者,其中MSI组16例,MSS组128例,MSI组患者的ADC值[(1.107±0.335)×10^(-3)mm^(2)/s]大于MSS组[(0.868±0.262)×10^(-3)mm^(2)/s],P=0.011,收集的临床病理特征中慢性胃肠炎病史(P<0.001)、D2-40(P=0.009)、临床分期(P<0.001)在MSI组和MSS组间差异具有统计学意义,合并上述4种独立预测因子形成诺模图。ADC模型和ADC-临床病理特征联合模型中,ADC-临床病理特征联合模型预测结直肠癌MSI性能最优,AUC为0.901[95%置信区间(confidence interval,CI):0.783~1.000],敏感度及特异度分别为87.5%和93.0%。结论本研究表明,ADC模型和ADC-临床病理特征联合模型对结直肠癌的MSI状态具有很好的预测性能,且ADC-临床病理特征联合模型性能最优。本研究可为临床术前提供安全无创的结直肠癌MSI预测手段。 展开更多
关键词 结直肠癌 微卫星不稳定状态 临床病理特征 表观弥散系数 磁共振成像
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Apparent diffusion coefficient values of normal testis and variations with age 被引量:8
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作者 Athina C Tsili Dimitrios Giannakis +4 位作者 Anastasios Sylakos Alexandra Ntorkou Loukas G Astrakas Nikolaos Sofikitis Maria I Argyropoulou 《Asian Journal of Andrology》 SCIE CAS CSCD 2014年第3期493-497,共5页
The usefulness of diffusion-weighted magnetic resonance imaging (DWI) in the evaluation of scrotal pathology has recently been reported. A standard reference of normal testicular apparent diffusion coefficient (ADC... The usefulness of diffusion-weighted magnetic resonance imaging (DWI) in the evaluation of scrotal pathology has recently been reported. A standard reference of normal testicular apparent diffusion coefficient (ADC) values and their variations with age is necessary when interpreting normal testicular anatomy and pathology. We evaluated 147 normal testes using DWI, including 71 testes from 53 men aged 20-39years (group 1), 67 testes from 42 men aged 40-69 years (group 2) and nine testes from six men older than 70years (group 3). DWI was performed along the axial plane, using a single shot, multislice spin-echo planar diffusion pulse sequence and b-values of 0 and 900 s mm-2. The mean and standard deviation of the ADC values of normal testicular parenchyma were calculated for each age group separately. Analysis of variance (ANOVA) followed by post hoc analysis (Dunnett T3) was used for statistical purposes. The ADC values (x 10-3 mm2s-1) of normal testicular tissue were different among age groups (group 1:1.08 ± 0.13; group 2:1.15 ±0.15 and group 3:1.31± 0.22). ANOVA revealed differences in mean ADC among age groups (F= 11.391, P〈 0.001). Post hoc analysis showed differences between groups 1 and 2 (P= 0.008) and between groups 1 and 3 (P= 0.043), but not between groups 2 and 3 (P= 0.197). Our findings suggest that ADC values of normal testicular tissue increase with advancing age. 展开更多
关键词 age apparent diffusion coefficient adc diffusion-WEIGHTED magnetic resonance imaging TESTIS
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Apparent diffusion coefficient by diffusion-weighted magnetic resonance imaging as a sole biomarker for staging and prognosis of gastric cancer 被引量:14
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作者 Francesco Giganti Alessandro Ambrosi +7 位作者 Damiano Chiari Elena Orsenigo Antonio Esposito Elena Mazza Luca Albarello Carlo Staudacher Alessandro Del Maschio Francesco De Cobelli 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2017年第2期118-126,共9页
Objective: To investigate the role of apparent diffusion coefficient (ADC) from diffusion-weighted magnetic resonance imaging (DW-MRI) when applied to the 7th TNM classification in the staging and prognosis of ga... Objective: To investigate the role of apparent diffusion coefficient (ADC) from diffusion-weighted magnetic resonance imaging (DW-MRI) when applied to the 7th TNM classification in the staging and prognosis of gastric cancer (GC). Methods: Between October 2009 and May 2014, a total of 89 patients with non-metastatic, biopsy proven GC underwent 1.5T DW-MRI, and then treated with radical surgery. Tumor ADC was measured retrospectively and compared with final histology following the 7th TNM staging (local invasion, nodal involvement and according to the different groups -- stage Ⅰ, Ⅱ and Ⅲ). Kaplan-Meier curves were also generated. The follow-up period is updated to May 2016. Results: Median follow-up period was 33 months and 45/89 (51%) deaths from GC were observed. ADC was significantly different both for local invasion and nodal involvement (P〈0.001). Considering final histology as the reference standard, a preoperative ADC cut-offof 1.80×10-3 mm^2/s could distinguish between stages I and Ⅱ and an ADC value of ≤1.36-10-3 mm^2/s was associated with stage Ⅲ(P〈0.001). Kaplan-Meier curves demonstrated that the survival rates for the three prognostic groups were significantly different according to final histology and ADC cut-offs (P〈0.001). Conclusions: ADC is different according to local invasion, nodal involvement and the 7th TNM stage groups for GC, representing a potential, additional prognostic biomarker. The addition of DW-MRI could aid in the staging and risk stratification of GC. 展开更多
关键词 apparent diffusion coefficient diffusion-weighted magnetic resonance imaging gastric cancer PROGNOSIS TNM staging
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Prediction of different stages of rectal cancer: Texture analysis based on diffusion-weighted images and apparent diffusion coefficient maps 被引量:19
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作者 Jian-Dong Yin Li-Rong Song +1 位作者 He-Cheng Lu Xu Zheng 《World Journal of Gastroenterology》 SCIE CAS 2020年第17期2082-2096,共15页
BACKGROUND It is evident that an accurate evaluation of T and N stage rectal cancer is essential for treatment planning.It has not been extensively investigated whether texture features derived from diffusion-weighted... BACKGROUND It is evident that an accurate evaluation of T and N stage rectal cancer is essential for treatment planning.It has not been extensively investigated whether texture features derived from diffusion-weighted imaging(DWI)images and apparent diffusion coefficient(ADC)maps are associated with the extent of local invasion(pathological stage T1-2 vs T3-4)and nodal involvement(pathological stage N0 vs N1-2)in rectal cancer.AIM To predict different stages of rectal cancer using texture analysis based on DWI images and ADC maps.METHODS One hundred and fifteen patients with pathologically proven rectal cancer,who underwent preoperative magnetic resonance imaging,including DWI,were enrolled,retrospectively.The ADC measurements(ADCmean,ADCmin,ADCmax)as well as texture features,including the gray level co-occurrence matrix parameters,the gray level run-length matrix parameters and wavelet parameters were calculated based on DWI(b=0 and b=1000)images and the ADC maps.Independent sample t-tests or Mann-Whitney U tests were used for statistical analysis.Multivariate logistic regression analysis was conducted to establish the models.The predictive performance was validated by receiver operating characteristic curve analysis.RESULTS Dissimilarity,sum average,information correlation and run-length nonuniformity from DWIb=0 images,gray level nonuniformity,run percentage and run-length nonuniformity from DWIb=1000 images,and dissimilarity and run percentage from ADC maps were found to be independent predictors of local invasion(stage T3-4).The area under the operating characteristic curve of the model reached 0.793 with a sensitivity of 78.57%and a specificity of 74.19%.Sum average,gray level nonuniformity and the horizontal components of symlet transform(SymletH)from DWIb=0 images,sum average,information correlation,long run low gray level emphasis and SymletH from DWIb=1000 images,and ADCmax,ADCmean and information correlation from ADC maps were identified as independent predictors of nodal involvement.The area under the operating characteristic curve of the model reached 0.802 with a sensitivity of 80.77%and a specificity of 68.25%.CONCLUSION Texture features extracted from DWI images and ADC maps are useful clues for predicting pathological T and N stages in rectal cancer. 展开更多
关键词 RECTAL cancer diffusion WEIGHTED imaging apparent diffusion coefficient Texture analysis
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Histogram analysis of apparent diffusion coefficient predicts response to radiofrequency ablation in hepatocellular carcinoma 被引量:7
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作者 Xiaohong Ma Han Ouyang +3 位作者 Shuang Wang Meng Wang Chunwu Zhou Xinming Zhao 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2019年第2期366-374,共9页
Objective: The aim of this study was to predict tumor progression in patients with hepatocellular carcinoma(HCC) treated with radiofrequency ablation(RFA) using histogram analysis of apparent diffusion coefficients(AD... Objective: The aim of this study was to predict tumor progression in patients with hepatocellular carcinoma(HCC) treated with radiofrequency ablation(RFA) using histogram analysis of apparent diffusion coefficients(ADC).Methods: Breath-hold diffusion weighted imaging(DWI) was performed in 64 patients(33 progressive and 31 stable) with biopsy-proven HCC prior to RFA. All patients had pre-treatment magnetic resonance imaging(MRI)and follow-up computed tomography(CT) or MRI. The ADC values(ADC_(10), ADC_(30_, ADC_(median) and ADC_(max))were obtained from the histogram's 10 th, 30 th, 50 th and 100 th percentiles. The ratios of ADC_(10), ADC_(30_,ADCmedian and ADCmax to the mean non-lesion area-ADC(RADC_(10), RADC_(30_, RADC_(median), and RADC_(max)) were calculated. The two patient groups were compared. Key predictive factors for survival were determined using the univariate and multivariate analysis of the Cox model. The Kaplan-Meier survival analysis was performed, and pairs of survival curves based on the key factors were compared using the log-rank test.Results: The ADC_(30_, ADCmedian, ADCmax, RADC_(30_, RADC_(median), and RADC_(max) were significantly larger in the progressive group than in the stable group(P<0.05). The median progression-free survival(PFS) was 22.9 months for all patients. The mean PFS for the stable and progressive groups were 47.7±1.3 and 9.8±1.3 months,respectively. Univariate analysis indicated that RADC_(10), RADC_(30_, and RADC_(median) were significantly correlated with the PFS [hazard ratio(HR)=31.02, 43.84, and 44.29, respectively, P<0.05 for all]. Multivariate analysis showed that RADCmedian was the only independent predictor of tumor progression(P=0.04). And the cutoff value of RADC_(median) was 0.71.Conclusions: Pre-RFA ADC histogram analysis might serve as a useful biomarker for predicting tumor progression and survival in patients with HCC treated with RFA. 展开更多
关键词 diffusion-WEIGHTED imaging apparent diffusion coefficient HISTOGRAM analysis HEPATOCELLULAR carcinoma RADIOFREQUENCY ablation survival time
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Apparent diffusion coefficient-based histogram analysis differentiates histological subtypes of periampullary adenocarcinoma 被引量:6
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作者 Jing-Yu Lu Hao Yu +4 位作者 Xian-Lun Zou Zhen Li Xue-Mei Hu Ya-Qi Shen Dao-Yu Hu 《World Journal of Gastroenterology》 SCIE CAS 2019年第40期6116-6128,共13页
BACKGROUND For periampullary adenocarcinoma,the histological subtype is a better prognostic predictor than the site of tumor origin.Intestinal-type periampullary adenocarcinoma(IPAC)is reported to have a better progno... BACKGROUND For periampullary adenocarcinoma,the histological subtype is a better prognostic predictor than the site of tumor origin.Intestinal-type periampullary adenocarcinoma(IPAC)is reported to have a better prognosis than the pancreatobiliary-type periampullary adenocarcinoma(PPAC).However,the classification of histological subtypes is difficult to determine before surgery.Apparent diffusion coefficient(ADC)histogram analysis is a noninvasive,nonenhanced method with high reproducibility that could help differentiate the two subtypes.AIM To investigate whether volumetric ADC histogram analysis is helpful for distinguishing IPAC from PPAC.METHODS Between January 2015 and October 2018,476 consecutive patients who were suspected of having a periampullary tumor and underwent magnetic resonance imaging(MRI)were reviewed in this retrospective study.Only patients who underwent MRI at 3.0 T with different diffusion-weighted images(b-values=800 and 1000 s/mm^2)and who were confirmed with a periampullary adenocarcinoma were further analyzed.Then,the mean,5th,10th,25th,50th,75th,90th,and 95th percentiles of ADC values and ADCmin,ADCmax,kurtosis,skewness,and entropy were obtained from the volumetric histogram analysis.Comparisons were made by an independent Student's t-test or Mann-Whitney U test.Multiple-class receiver operating characteristic curve analysis was performed to determine and compare the diagnostic value of each significant parameter.RESULTS In total,40 patients with histopathologically confirmed IPAC(n=17)or PPAC(n=23)were enrolled.The mean,5th,25th,50th,75th,90th,and 95th percentiles and ADCmax derived from ADC1000 were significantly lower in the PPAC group than in the IPAC group(P<0.05).However,values derived from ADC800 showed no significant difference between the two groups.The 75th percentile of ADC1000 values achieved the highest area under the curve(AUC)for differentiating IPAC from PPAC(AUC=0.781;sensitivity,91%;specificity,59%;cut-off value,1.50×10^-3 mm^2/s).CONCLUSION Volumetric ADC histogram analysis at a b-value of 1000 s/mm2 might be helpful for differentiating the histological subtypes of periampullary adenocarcinoma before surgery. 展开更多
关键词 Periampullary ADENOCARCINOMA apparent diffusion coefficient HISTOGRAM analysis HISTOPATHOLOGY DIFFERENTIAL diagnosis
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基于ADC影像组学的机器学习模型预测子宫内膜癌肌层浸润深度的价值 被引量:1
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作者 崔靖 郭冉 信瑞强 《磁共振成像》 北大核心 2025年第3期77-82,共6页
目的 探讨基于表观扩散系数(apparent diffusion coefficient,ADC)图构建的影像组学模型,对子宫内膜癌(endometrial carcinoma,EC)肌层浸润深度的预测价值,从而为临床制订治疗方案提供可靠依据。材料与方法 回顾性分析首都医科大学附属... 目的 探讨基于表观扩散系数(apparent diffusion coefficient,ADC)图构建的影像组学模型,对子宫内膜癌(endometrial carcinoma,EC)肌层浸润深度的预测价值,从而为临床制订治疗方案提供可靠依据。材料与方法 回顾性分析首都医科大学附属北京潞河医院2016年1月至2023年12月期间在术前接受盆腔MRI检查并经术后病理证实的155例EC患者的临床及MRI资料(浅肌层浸润114例,深肌层浸润41例),按照4∶1的比例随机分为训练集(n=124)和验证集(n=31)。采用ITK-SNAP软件在ADC图上逐层勾画肿瘤区域并进行特征提取,对提取出来的特征进行归一化处理,应用皮尔森相关系数分析(pearson correlation coefficients,PCC)及最小绝对收缩和选择算子(least absolute shrinkage and selection operator,LASSO)对所有特征进行筛选降维,并按权重系数对筛选后的影像组学特征进行重要性排序,选择排名前10的特征,使用逻辑回归(logistic regression,LR)、随机森林(random forest,RF)、梯度提升机(gradient boosting machine,GBM)3种算法构建影像组学模型,并在验证集中对模型进行验证。使用受试者工作特征(receiver operating characteristic,ROC)曲线、校准曲线和决策曲线分析(decision curve analysis,DCA)对3种影像组学模型的性能进行分析评估。使用DeLong检验比较不同模型间曲线下面积(area under the curve,AUC)的差异。结果 LR、RF和GBM模型预测EC肌层浸润深度的AUC值分别是0.780 (95%CI:0.762~0.804)、0.860(95%CI:0.846~0.879)、0.860(95%CI:0.843~0.877),RF和GBM模型的AUC值最高且相等。DeLong检验显示LR与RF及GBM模型的AUC值差异均有统计学意义(P=0.017,0.023),RF与GBM模型的AUC值差异无统计学意义(P=3.310)。校准曲线和DCA结果显示3种模型均具有较好的拟合度及临床实用性。结论 基于ADC图所构建的影像组学模型在EC肌层浸润深度的预测中具有良好的价值。 展开更多
关键词 子宫内膜肿瘤 肌层浸润 磁共振成像 影像组学 机器学习 表观扩散系数
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Apparent diffusion coefficient in normal and abnormal pattern of intervertebral lumbar discs: initial experience 被引量:7
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作者 Gang Niu Xuewen Yu Jian Yang Rong Wang Shaojuan Zhang Youmin Guo 《The Journal of Biomedical Research》 CAS 2011年第3期197-203,共7页
The aim of the present study was to compare the relationship of morphologically defined non-bulging/herni-ated, bulging and herniated intervertebral lumbar discs with quantitative apparent diffusion coefficient (ADC... The aim of the present study was to compare the relationship of morphologically defined non-bulging/herni-ated, bulging and herniated intervertebral lumbar discs with quantitative apparent diffusion coefficient (ADC). Thirty-two healthy volunteers and 28 patients with back pain or sciatica were examined by MRI. All intervertebral lumbar discs from L1 to S1 were classified according to morphological abnormality and degenerated grades. The ADC values of nucleus pulposus (NP) were measured and recorded. The significant differences about mean ADC values of NP were found between non-bulging/herniated discs and bulging discs as well as herniated discs (P 0.05), whereas there were no significant differences in ADC values between bulging and herniated discs (P 0.05). Moreover, statistically significant relationship was found in the mean ADC values of NP between "non-bulging/herniated and non-degenerated discs" and "non-bulging/herniated degenerated discs" as well as herniated discs (P 0.05). Linear regression analysis between ADC value and disc level revealed an inverse correlation (r = -0.18). The ADC map of the NP is a potentially useful tool for the quantitative assessment of componential and molecular alterations accompanied with lumbar disc abnormalities. 展开更多
关键词 intervertebral lumbar disc apparent diffusion coefficient disc bulging disc herniation
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Combined value of apparent diffusion coefficient-standardized uptake value max in evaluation of post-treated locally advanced rectal cancer 被引量:5
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作者 Davide Ippolito Davide Fior +5 位作者 Chiara Trattenero Elena De Ponti Silvia Drago Luca Guerra Cammillo Talei Franzesi Sandro Sironi 《World Journal of Radiology》 CAS 2015年第12期509-520,共12页
AIM:To assess the clinical diagnostic value of functional imaging,combining quantitative parameters of apparent diffusion coefficient(ADC) and standardized uptake value(SUV)max,before and after chemo-radiation therapy... AIM:To assess the clinical diagnostic value of functional imaging,combining quantitative parameters of apparent diffusion coefficient(ADC) and standardized uptake value(SUV)max,before and after chemo-radiation therapy,in prediction of tumor response of patients with rectal cancer,related to tumor regression grade at histology.METHODS:A total of 31 patients with biopsy proven diagnosis of rectal carcinoma were enrolled in our study.All patients underwent a whole body ^(18)FDG positron emission tomography(PET)/computed tomography(CT) scan and a pelvic magnetic resonance(MR)examination including diffusion weighted(DW) imaging for staging(PET1,RM1) and after completion(6.6 wk)of neoadjuvant treatment(PET2,RM2).Subsequently all patients underwent total mesorectal excision and the histological results were compared with imaging findings.The MR scanning,performed on 1.5 T magnet(Philips,Achieva),included T2-weighted multiplanar imaging and in addition DW images with b-value of 0 and 1000 mm^2/s.On PET/CT the SUVmax of the rectal lesion were calculated in PET1 and PET2.The percentage decrease of SUVmax(△SUV) and ADC(△ADC) values from baseline to presurgical scan were assessed and correlated with pathologic response classified as tumor regression grade(Mandard's criteria;TRG1 = complete regression,TRG5 = no regression).RESULTS:After completion of therapy,all the patients were submitted to surgery.According to the Mandard's criteria,22 tumors showed complete(TRG1) or subtotal regression(TRG2) and were classified as responders;9tumors were classified as non responders(TRG3,4 and5).Considering all patients the mean values of SUVmax in PET 1 was higher than the mean value of SUVmax in PET 2(P < 0.001),whereas the mean ADC values was lower in RM1 than RM2(P < 0.001),with a △SUV and △ADC respectively of 60.2%and 66.8%.The best predictors for TRG response were SUV2(threshold of4.4) and ADC2(1.29 × 10^(-3) mm^2/s) with high sensitivity and specificity.Combining in a single analysis both the obtained median value,the positive predictive value,in predicting the different group category response in related to TRG system,presented R^2 of 0.95.CONCLUSION:The functional imaging combining ADC and SUVmax in a single analysis permits to detect changes in cellular tissue structures useful for the assessment of tumour response after the neoadjuvant therapy in rectal cancer,increasing the sensitivity in correct depiction of treatment response than either method alone. 展开更多
关键词 Advanced RECTAL cancer Functional IMAGING FDG-PET/CT Magnetic resonance IMAGING apparent diffusion coefficient NEOADJUVANT treatment Tumor regression grade
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Whole lesion histogram analysis of apparent diffusion coefficient predicts therapy response in locally advanced rectal cancer 被引量:8
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作者 Mayra Evelia Jiménez de los Santos Juan Armando Reyes-Pérez +4 位作者 Victor Domínguez Osorio Yolanda Villaseñor-Navarro Liliana Moreno-Astudillo Itzel Vela-Sarmiento Isabel Sollozo-Dupont 《World Journal of Gastroenterology》 SCIE CAS 2022年第23期2609-2624,共16页
BACKGROUND Whole-tumor apparent diffusion coefficient(ADC)histogram analysis is relevant to predicting the neoadjuvant chemoradiation therapy(nCRT)response in patients with locally advanced rectal cancer(LARC).AIM To ... BACKGROUND Whole-tumor apparent diffusion coefficient(ADC)histogram analysis is relevant to predicting the neoadjuvant chemoradiation therapy(nCRT)response in patients with locally advanced rectal cancer(LARC).AIM To evaluate the performance of ADC histogram-derived parameters for predicting the outcomes of patients with LARC.METHODS This is a single-center,retrospective study,which included 48 patients with LARC.All patients underwent a pre-treatment magnetic resonance imaging(MRI)scan for primary tumor staging and a second restaging MRI for response evaluation.The sample was distributed as follows:18 responder patients(R)and 30 non-responders(non-R).Eight parameters derived from the whole-lesion histogram analysis(ADCmean,skewness,kurtosis,and ADC10^(th),25^(th),50^(th),75^(th),90^(th) percentiles),as well as the ADCmean from the hot spot region of interest(ROI),were calculated for each patient before and after treatment.Then all data were compared between R and non-R using the Mann-Whitney U test.Two measures of diagnostic accuracy were applied:the receiver operating characteristic curve and the diagnostic odds ratio(DOR).We also reported intra-and interobserver variability by calculating the intraclass correlation coefficient(ICC).RESULTS Post-nCRT kurtosis,as well as post-nCRT skewness,were significantly lower in R than in non-R(both P<0.001,respectively).We also found that,after treatment,R had a larger loss of both kurtosis and skewness than non-R(Δ%kurtosis and Δ skewness,P<0.001).Other parameters that demonstrated changes between groups were post-nCRT ADC10^(th),Δ%ADC10^(th),Δ%ADCmean,and ROIΔ%ADCmean.However,the best diagnostic performance was achieved byΔ%kurtosis at a threshold of 11.85%(Area under the receiver operating characteristic curve[AUC]=0.991,DOR=376),followed by post-nCRT kurtosis=0.78×10^(-3)mm^(2)/s(AUC=0.985,DOR=375.3),Δskewness=0.16(AUC=0.885,DOR=192.2)and post-nCRT skewness=1.59×10^(-3)mm^(2)/s(AUC=0.815,DOR=168.6).Finally,intraclass correlation coefficient analysis showed excellent intraobserver and interobserver agreement,ensuring the implementation of histogram analysis into routine clinical practice.CONCLUSION Whole-tumor ADC histogram parameters,particularly kurtosis and skewness,are relevant biomarkers for predicting the nCRT response in LARC.Both parameters appear to be more reliable than ADCmean from one-slice ROI. 展开更多
关键词 apparent diffusion coefficient diffusion-weighted imaging Histogram analysis Magnetic resonance imaging Locally advanced rectal cancer
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Apparent diffusion coefficient evaluation for secondary changes in the cerebellum of rats after middle cerebral artery occlusion 被引量:3
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作者 Yunjun Yang Lingyun Gao +5 位作者 Jun Fu Jun Zhang Yuxin Li Bo Yin Weijian Chen Daoying Geng 《Neural Regeneration Research》 SCIE CAS CSCD 2013年第31期2942-2950,共9页
Supratentorial cerebral infarction can cause functional inhibition of remote regions such as the cerebellum, which may be relevant to diaschisis. This phenomenon is often analyzed using positron emission tomography an... Supratentorial cerebral infarction can cause functional inhibition of remote regions such as the cerebellum, which may be relevant to diaschisis. This phenomenon is often analyzed using positron emission tomography and single photon emission CT. However, these methods are expensive and radioactive. Thus, the present study quantified the changes of infarction core and remote regions after unilateral middle cerebral artery occlusion using apparent diffusion coefficient values. Diffu- sion-weighted imaging showed that the area of infarction core gradually increased to involve the cerebral cortex with increasing infarction time. Diffusion weighted imaging signals were initially in- creased and then stabilized by 24 hours. With increasing infarction time, the apparent diffusion co- efficient value in the infarction core and remote bilateral cerebellum both gradually decreased, and then slightly increased 3-24 hours after infarction. Apparent diffusion coefficient values at remote regions (cerebellum) varied along with the change of supratentorial infarction core, suggesting that the phenomenon of diaschisis existed at the remote regions. Thus, apparent diffusion coefficient values and diffusion weighted imaging can be used to detect early diaschisis. 展开更多
关键词 neural regeneration brain injury cerebral ischemia cerebral infarction magnetic resonanceimaging apparent diffusion coefficient middle cerebral artery occlusion diffusion weighted imaging infarction core remote regions DIASCHISIS grants-supported paper NEUROREGENERATION
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Correlation of magnetic resonance imaging quantitative parameters and apparent diffusion coefficient value with pathological breast cancer 被引量:6
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作者 Zhe Wang Guan-Ying Ren +1 位作者 Qian Yin Qian Wang 《World Journal of Clinical Cases》 SCIE 2022年第21期7333-7340,共8页
BACKGROUND China ranks 120th worldwide for the incidence of breast cancer and 163rd for mortality.Early screening,diagnosis,and timely determination of the optimal treatment plan can help ensure clinical efficacy and ... BACKGROUND China ranks 120th worldwide for the incidence of breast cancer and 163rd for mortality.Early screening,diagnosis,and timely determination of the optimal treatment plan can help ensure clinical efficacy and prognosis.AIM To investigate the relationship between quantitative magnetic resonance imaging parameters,apparent diffusion coefficient value,pathological immunohistochemical status,and patient prognosis.METHODS A total of 108 patients with breast cancer(breast cancer group)and 110 patients with benign breast tumors(benign group)confirmed by pathological examination at our Hospital from September 2013 to August 2016 were selected.All patients had undergone preoperative magnetic resonance imaging(MRI)examinations,and the quantitative parameters of MRI and apparent diffusion coefficient(ADC)values for the two groups were compared.The MRI quantitative parameters and ADC values of patients with different estrogen receptor(ER),progesterone receptor,and human epidermal growth factor receptor-2 expression were statistically analyzed.The relationship between the quantitative parameters of MRI and ADC values and patient recurrence was analyzed using receiver operating curves.RESULTS The measured values of the quantitative parameters of MRI-Ktrans,Kep,and Ve in the breast cancer group were higher than those in the benign group;the ADC value in the breast cancer group was lower than that in the benign group,and the difference was statistically significant(P<0.05).The Ktrans,Ve,and ADC values in patients with ER-positive breast cancer were significantly lower than those in patients with negative ER expression(P<0.05).After 5 years of follow-up,22 patients with breast cancer experienced postoperative recurrence.The Kep,Ve,and ADC values of the recurrence group were significantly lower than those of the non-recurrence group,and the difference was statistically significant(P<0.05).CONCLUSION MRI quantitative parameters and ADC are related to the expression of breast cancer-related immunological receptor factors and have certain clinical value in assessing postoperative recurrence in patients. 展开更多
关键词 Magnetic resonance apparent diffusion coefficient Breast cancer IMMUNOHISTOCHEMISTRY PROGNOSIS
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