Amide proton transfer (APT) magnetic resonance imaging (MRI) is an important molecularimaging technique at the protein level in tissue. Neurodegenerative diseases have a highlikelihood of causing abnormal protein accu...Amide proton transfer (APT) magnetic resonance imaging (MRI) is an important molecularimaging technique at the protein level in tissue. Neurodegenerative diseases have a highlikelihood of causing abnormal protein accumulation in the brain, which can be detectedby APT MRI. This article briefly introduces the principles and image processing technologyof APT MRI, and reviews the current state of research on Alzheimer's disease and Parkinson's disease using this technique. Early applications of this approach in these twoneurodegenerative diseases are encouraging, which also suggests continued technicaldevelopment and larger clinical trials to gauge the value of this technique.展开更多
The purpose of this study was to demonstrate a simple and fast method for solving the time-dependent Bloch-McConnell equations describing the behavior of magnetization in magnetic resonance imaging (MRI) in the presen...The purpose of this study was to demonstrate a simple and fast method for solving the time-dependent Bloch-McConnell equations describing the behavior of magnetization in magnetic resonance imaging (MRI) in the presence of multiple chemical exchange pools. First, the time-dependent Bloch- McConnell equations were reduced to a homogeneous linear differential equation, and then a simple equation was derived to solve it using a matrix operation and Kronecker tensor product. From these solutions, the longitudinal relaxation rate (R1ρ) and transverse relaxation rate in the rotating frame (R2ρ) and Z-spectra were obtained. As illustrative examples, the numerical solutions for linear and star-type three-pool chemical exchange models and linear, star- type, and kite-type four-pool chemical exchange models were presented. The effects of saturation time (ST) and radiofrequency irradiation power (ω1) on the chemical exchange saturation transfer (CEST) effect in these models were also investigated. Although R1ρ and R2ρ were not affected by the ST, the CEST effect observed in the Z-spectra increased and saturated with increasing ST. When ω1 was varied, the CEST effect increased with increasing ω1 in R1ρ, R2ρ, and Z-spectra. When ω1 was large, however, the spillover effect due to the direct saturation of bulk water protons also increased, suggesting that these parameters must be determined in consideration of both the CEST and spillover effects. Our method will be useful for analyzing the complex CEST contrast mechanism and for investigating the optimal conditions for CEST MRI in the presence of multiple chemical exchange pools.展开更多
Background：Amide proton transfer （APT） imaging has recently emerged as an important contrast mechanism for magnetic resonance imaging （MRI） in the field of molecular and cellular imaging.The aim of this study was...Background：Amide proton transfer （APT） imaging has recently emerged as an important contrast mechanism for magnetic resonance imaging （MRI） in the field of molecular and cellular imaging.The aim of this study was to evaluate the feasibility of APT imaging to detect cerebral abnormality in patients with Alzheimer＆#39;s disease （AD） at 3.0 Tesla.Methods：Twenty AD patients （9 men and 11 women; age range,67-83 years） and 20 age-matched normal controls （11 men and 9 women; age range,63-82 years） underwent APT and traditional MRI examination on a 3.0 Tesla MRI system.The magnetic resonance ratio asymmetry （MTRasym） values at 3.5 ppm of bilateral hippocampi （Hc）,temporal white matter regions,occipital white matter regions,and cerebral peduncles were measured on oblique axial APT images.MTRasym （3.5 ppm） values of the cerebral structures between AD patients and control subjects were compared with independent samples t-test.Controlling for age,partial correlation analysis was used to investigate the associations between mini-mental state examination （MMSE） and the various MRI measures among AD patients.Results：Compared with normal controls,MTRasym （3.5 ppm） values of bilateral Hc were significantly increased in AD patients （right 1.24% ± 0.21% vs.0.83% ± 0.19%,left 1.18% ± 0.18% vs.0.80%± 0.17%,t =3.039,3.328,P =0.004,0.002,respectively）.MTRasym （3.5 ppm） values of bilateral Hc were significantly negatively correlated with MMSE （right r =-0.559,P =0.013; left r=-0.461,P =0.047）.Conclusions：Increased MTRasym （3.5 ppm） values of bilateral Hc in AD patients and its strong correlations with MMSE suggest that APT imaging could potentially provide imaging biomarkers for the noninvasive molecular diagnosis of AD.展开更多
目的对比磁共振酰胺质子转移(Amide Proton Transfer,APT)成像、扩散加权成像(Diffusion Weighted Imaging,DWI)和动态增强(Dynamic Contrast-Enhanced,DCE)成像以及3者联合应用在鉴别乳腺良恶性病变中的诊断价值。方法纳入55例乳腺疾...目的对比磁共振酰胺质子转移(Amide Proton Transfer,APT)成像、扩散加权成像(Diffusion Weighted Imaging,DWI)和动态增强(Dynamic Contrast-Enhanced,DCE)成像以及3者联合应用在鉴别乳腺良恶性病变中的诊断价值。方法纳入55例乳腺疾病患者,均进行APT、DWI以及DCE扫描,测量非对称磁化转移(Magnetization Transfer Asymmetry,MTRasym)率和表观扩散系数(Apparent Diffusion Coefficient,ADC)值,并记录乳腺影像报告和数据系统的分类。分析乳腺良恶性病变各参数之间的差异,使用Logistic回归建立联合诊断模型,采用受试者工作特征曲线(Receive Operating Characteristic,ROC)计算各诊断模型在乳腺良恶性病变中的诊断价值,并比较恶性病变中不同病理因素组间的差异以及各病理因素与APT之间的相关性。结果恶性组中MTRasym和ADC值均小于良性组,差异具有统计学意义(均P<0.05),DWI、APT、DCE以及APT+DCE、APT+DWI、DCE+DWI、DWI+APT+DCE联合模型鉴别乳腺良恶性病变的曲线下面积(Area Under Curve,AUC)分别为0.804、0.723、0.741以及0.782、0.895、0.897、0.970;DWI+APT+DCE联合诊断模型的AUC显著大于DWI、APT、DCE以及任意两者联合诊断模型(均P<0.05)。Ki-67高表达组的MTRasym值较低表达组高[(3.934%±0.883%)v s.(3.192%±0.949%)],乳腺癌浸润程度组织学分级Ⅲ级组的M T R a s y m值较Ⅱ级组高[(4.225%±0.932%)vs.(3.451%±0.873%)],差异均有统计学意义(均P<0.05),并且APT与两者均呈中度正相关(r=0.627、0.537,均P<0.05)。结论APT成像技术在乳腺良恶性病变的鉴别中具有较好的诊断价值,与常规DWI、DCE成像无显著差异,并且三者联合应用的诊断价值更高。展开更多
文摘Amide proton transfer (APT) magnetic resonance imaging (MRI) is an important molecularimaging technique at the protein level in tissue. Neurodegenerative diseases have a highlikelihood of causing abnormal protein accumulation in the brain, which can be detectedby APT MRI. This article briefly introduces the principles and image processing technologyof APT MRI, and reviews the current state of research on Alzheimer's disease and Parkinson's disease using this technique. Early applications of this approach in these twoneurodegenerative diseases are encouraging, which also suggests continued technicaldevelopment and larger clinical trials to gauge the value of this technique.
文摘The purpose of this study was to demonstrate a simple and fast method for solving the time-dependent Bloch-McConnell equations describing the behavior of magnetization in magnetic resonance imaging (MRI) in the presence of multiple chemical exchange pools. First, the time-dependent Bloch- McConnell equations were reduced to a homogeneous linear differential equation, and then a simple equation was derived to solve it using a matrix operation and Kronecker tensor product. From these solutions, the longitudinal relaxation rate (R1ρ) and transverse relaxation rate in the rotating frame (R2ρ) and Z-spectra were obtained. As illustrative examples, the numerical solutions for linear and star-type three-pool chemical exchange models and linear, star- type, and kite-type four-pool chemical exchange models were presented. The effects of saturation time (ST) and radiofrequency irradiation power (ω1) on the chemical exchange saturation transfer (CEST) effect in these models were also investigated. Although R1ρ and R2ρ were not affected by the ST, the CEST effect observed in the Z-spectra increased and saturated with increasing ST. When ω1 was varied, the CEST effect increased with increasing ω1 in R1ρ, R2ρ, and Z-spectra. When ω1 was large, however, the spillover effect due to the direct saturation of bulk water protons also increased, suggesting that these parameters must be determined in consideration of both the CEST and spillover effects. Our method will be useful for analyzing the complex CEST contrast mechanism and for investigating the optimal conditions for CEST MRI in the presence of multiple chemical exchange pools.
文摘Background：Amide proton transfer （APT） imaging has recently emerged as an important contrast mechanism for magnetic resonance imaging （MRI） in the field of molecular and cellular imaging.The aim of this study was to evaluate the feasibility of APT imaging to detect cerebral abnormality in patients with Alzheimer＆#39;s disease （AD） at 3.0 Tesla.Methods：Twenty AD patients （9 men and 11 women; age range,67-83 years） and 20 age-matched normal controls （11 men and 9 women; age range,63-82 years） underwent APT and traditional MRI examination on a 3.0 Tesla MRI system.The magnetic resonance ratio asymmetry （MTRasym） values at 3.5 ppm of bilateral hippocampi （Hc）,temporal white matter regions,occipital white matter regions,and cerebral peduncles were measured on oblique axial APT images.MTRasym （3.5 ppm） values of the cerebral structures between AD patients and control subjects were compared with independent samples t-test.Controlling for age,partial correlation analysis was used to investigate the associations between mini-mental state examination （MMSE） and the various MRI measures among AD patients.Results：Compared with normal controls,MTRasym （3.5 ppm） values of bilateral Hc were significantly increased in AD patients （right 1.24% ± 0.21% vs.0.83% ± 0.19%,left 1.18% ± 0.18% vs.0.80%± 0.17%,t =3.039,3.328,P =0.004,0.002,respectively）.MTRasym （3.5 ppm） values of bilateral Hc were significantly negatively correlated with MMSE （right r =-0.559,P =0.013; left r=-0.461,P =0.047）.Conclusions：Increased MTRasym （3.5 ppm） values of bilateral Hc in AD patients and its strong correlations with MMSE suggest that APT imaging could potentially provide imaging biomarkers for the noninvasive molecular diagnosis of AD.
文摘目的对比磁共振酰胺质子转移(Amide Proton Transfer,APT)成像、扩散加权成像(Diffusion Weighted Imaging,DWI)和动态增强(Dynamic Contrast-Enhanced,DCE)成像以及3者联合应用在鉴别乳腺良恶性病变中的诊断价值。方法纳入55例乳腺疾病患者,均进行APT、DWI以及DCE扫描,测量非对称磁化转移(Magnetization Transfer Asymmetry,MTRasym)率和表观扩散系数(Apparent Diffusion Coefficient,ADC)值,并记录乳腺影像报告和数据系统的分类。分析乳腺良恶性病变各参数之间的差异,使用Logistic回归建立联合诊断模型,采用受试者工作特征曲线(Receive Operating Characteristic,ROC)计算各诊断模型在乳腺良恶性病变中的诊断价值,并比较恶性病变中不同病理因素组间的差异以及各病理因素与APT之间的相关性。结果恶性组中MTRasym和ADC值均小于良性组,差异具有统计学意义(均P<0.05),DWI、APT、DCE以及APT+DCE、APT+DWI、DCE+DWI、DWI+APT+DCE联合模型鉴别乳腺良恶性病变的曲线下面积(Area Under Curve,AUC)分别为0.804、0.723、0.741以及0.782、0.895、0.897、0.970;DWI+APT+DCE联合诊断模型的AUC显著大于DWI、APT、DCE以及任意两者联合诊断模型(均P<0.05)。Ki-67高表达组的MTRasym值较低表达组高[(3.934%±0.883%)v s.(3.192%±0.949%)],乳腺癌浸润程度组织学分级Ⅲ级组的M T R a s y m值较Ⅱ级组高[(4.225%±0.932%)vs.(3.451%±0.873%)],差异均有统计学意义(均P<0.05),并且APT与两者均呈中度正相关(r=0.627、0.537,均P<0.05)。结论APT成像技术在乳腺良恶性病变的鉴别中具有较好的诊断价值,与常规DWI、DCE成像无显著差异,并且三者联合应用的诊断价值更高。
