Objective:We aimed to evaluate the diagnostic performance of three-dimensional whole-heart magnetic resonance coronary angiography(MRCA)in detecting coronary artery disease(CAD)with invasive coronary angiography as th...Objective:We aimed to evaluate the diagnostic performance of three-dimensional whole-heart magnetic resonance coronary angiography(MRCA)in detecting coronary artery disease(CAD)with invasive coronary angiography as the reference standard.Methods:We searched PubMed and Embase for studies evaluating the diagnostic performance of three-dimensional whole-heart MRCA for the diagnosis of CAD with invasive coronary angiography as the reference standard.The bivariate mixed-effects regression model was applied to synthesize available data.The clinical utility of whole-heart MRCA was calculated by the posttest probability based on Bayes’s theorem.Results:Eighteen studies were included,of which 16 provided data at the artery level.Patient-based analysis revealed a pooled sensitivity of 0.90(95%confi dence interval[CI]0.87–0.93)and specifi city of 0.79(95%CI 0.73–0.84),while the pooled estimates were 0.86(95%CI 0.82–0.89)and 0.89(95%CI 0.84–0.92),respectively,at the artery level.The areas under the summary receiver operating characteristic curve were 0.93(95%CI 0.90–0.95)and 0.92(95%CI 0.90–0.94)at the patient and artery levels,respectively.With a pretest probability of 50%,the patients’posttest probabilities of CAD were 81%for positive results and 11%for negative results.Conclusions:Whole-heart MRCA can be an alternative noninvasive method for diagnosis and assessment of CAD.展开更多
Segmenting whole heart from cardiac computed tomography(CT images can provide an important basis for the evaluation of cardiac function and help improve the accuracy of clinical diagnosis. Manual segmentation is the m...Segmenting whole heart from cardiac computed tomography(CT images can provide an important basis for the evaluation of cardiac function and help improve the accuracy of clinical diagnosis. Manual segmentation is the most accurate method for cardiac segmentation. But it is time consuming and not sufficiently reproducible. However, clinicians still rely on this method in practical applications. So a fully automatic method is needed to improve the segmentation efficiency. This pape proposes a registration-based automatic approach for three-dimensional(3D segmentation of cardiac CT images. The proposed method utilizes the similarity o cardiac CT images between different individuals, and uses registration to achieve the segmentation. Affine transformation is firstly implemented to achieve global coarse registration. Then, cubic B-splines are used to refine the local details in locally accurate registration. Mutual information(Ml) is used as the similarity measure, and adaptive stochastic gradient descent(ASGD) as the optimization algorithm. Ou method is applied to the dual-source cardiac CT images to segment whole heart Experimental results show that the proposed method can automatically segment whole heart from cardiac CT images.展开更多
目的:利用iCys激光定量成像细胞仪(iCys research imaging cytometer,RIC)对小鼠全心脏切片中标记的化学发光或荧光信号进行大面积、高速度、高分辨率的扫描,根据所获得图像统计分析小鼠全心脏切片中荧光和化学发光的阳性细胞比例,并分...目的:利用iCys激光定量成像细胞仪(iCys research imaging cytometer,RIC)对小鼠全心脏切片中标记的化学发光或荧光信号进行大面积、高速度、高分辨率的扫描,根据所获得图像统计分析小鼠全心脏切片中荧光和化学发光的阳性细胞比例,并分群追踪分析对象的图像以排查假阳性。方法:利用血管紧张素II灌注小鼠,对心脏切片进行巨噬细胞特异性的mac-2抗体的免疫组化,通过光电二极管(photodiode,PD)检测器收集二氨基联苯胺法(DAB染色法)的化学发光信号获得全心脏相关影像,进而分析图片以统计全心脏中的巨噬细胞的阳性面积;利用小鼠心肌梗塞模型后心脏进行末端脱氧核苷酸转移酶介导的dUTP缺口末端标记测定法(terminal dexynucleotidyl transferase(TdT)-mediated dUTP nick end labeling,TUNEL)标记,通过器光电倍增管(photo multiplier tube,PMT)检测器收集荧光信号获得全心脏相关影像,进而分析图片以统计全心脏中的细胞死亡率。结果:400倍放大时iCys激光定量成像细胞仪对小鼠全心脏切片的扫描花费大约20min,获得大约300张局部图片,软件自动拼合成全心脏切片图。通过对全心脏图片的统计分析显示:AngII灌注的全心脏中DAB染色法显示的mac-2抗体阳性巨噬细胞阳性面积为(2.36±0.7)%;全心脏的TUNEL标记后荧光阳性的死亡细胞比率为(32.3±4.1)%。结论:iCys激光定量成像细胞仪可以对病理切片样本中的化学发光以及荧光信号进行大面积、高速度、高清晰的扫描,分析软件可以进行后期的图像的定性定量分析,并且可以通过对分析对象的追踪图像显示以明确统计分析的正确性。展开更多
基金The study was supported by a major international(regional)joint research project of the National Natural Science Foundation of China(no.81620108015).
文摘Objective:We aimed to evaluate the diagnostic performance of three-dimensional whole-heart magnetic resonance coronary angiography(MRCA)in detecting coronary artery disease(CAD)with invasive coronary angiography as the reference standard.Methods:We searched PubMed and Embase for studies evaluating the diagnostic performance of three-dimensional whole-heart MRCA for the diagnosis of CAD with invasive coronary angiography as the reference standard.The bivariate mixed-effects regression model was applied to synthesize available data.The clinical utility of whole-heart MRCA was calculated by the posttest probability based on Bayes’s theorem.Results:Eighteen studies were included,of which 16 provided data at the artery level.Patient-based analysis revealed a pooled sensitivity of 0.90(95%confi dence interval[CI]0.87–0.93)and specifi city of 0.79(95%CI 0.73–0.84),while the pooled estimates were 0.86(95%CI 0.82–0.89)and 0.89(95%CI 0.84–0.92),respectively,at the artery level.The areas under the summary receiver operating characteristic curve were 0.93(95%CI 0.90–0.95)and 0.92(95%CI 0.90–0.94)at the patient and artery levels,respectively.With a pretest probability of 50%,the patients’posttest probabilities of CAD were 81%for positive results and 11%for negative results.Conclusions:Whole-heart MRCA can be an alternative noninvasive method for diagnosis and assessment of CAD.
基金National Natural Science Foundation of Chinagrant number:81101130+1 种基金the Fundamental Research Funds for the Central Universitygrant number:2012ZZ0095
文摘Segmenting whole heart from cardiac computed tomography(CT images can provide an important basis for the evaluation of cardiac function and help improve the accuracy of clinical diagnosis. Manual segmentation is the most accurate method for cardiac segmentation. But it is time consuming and not sufficiently reproducible. However, clinicians still rely on this method in practical applications. So a fully automatic method is needed to improve the segmentation efficiency. This pape proposes a registration-based automatic approach for three-dimensional(3D segmentation of cardiac CT images. The proposed method utilizes the similarity o cardiac CT images between different individuals, and uses registration to achieve the segmentation. Affine transformation is firstly implemented to achieve global coarse registration. Then, cubic B-splines are used to refine the local details in locally accurate registration. Mutual information(Ml) is used as the similarity measure, and adaptive stochastic gradient descent(ASGD) as the optimization algorithm. Ou method is applied to the dual-source cardiac CT images to segment whole heart Experimental results show that the proposed method can automatically segment whole heart from cardiac CT images.
文摘目的:利用iCys激光定量成像细胞仪(iCys research imaging cytometer,RIC)对小鼠全心脏切片中标记的化学发光或荧光信号进行大面积、高速度、高分辨率的扫描,根据所获得图像统计分析小鼠全心脏切片中荧光和化学发光的阳性细胞比例,并分群追踪分析对象的图像以排查假阳性。方法:利用血管紧张素II灌注小鼠,对心脏切片进行巨噬细胞特异性的mac-2抗体的免疫组化,通过光电二极管(photodiode,PD)检测器收集二氨基联苯胺法(DAB染色法)的化学发光信号获得全心脏相关影像,进而分析图片以统计全心脏中的巨噬细胞的阳性面积;利用小鼠心肌梗塞模型后心脏进行末端脱氧核苷酸转移酶介导的dUTP缺口末端标记测定法(terminal dexynucleotidyl transferase(TdT)-mediated dUTP nick end labeling,TUNEL)标记,通过器光电倍增管(photo multiplier tube,PMT)检测器收集荧光信号获得全心脏相关影像,进而分析图片以统计全心脏中的细胞死亡率。结果:400倍放大时iCys激光定量成像细胞仪对小鼠全心脏切片的扫描花费大约20min,获得大约300张局部图片,软件自动拼合成全心脏切片图。通过对全心脏图片的统计分析显示:AngII灌注的全心脏中DAB染色法显示的mac-2抗体阳性巨噬细胞阳性面积为(2.36±0.7)%;全心脏的TUNEL标记后荧光阳性的死亡细胞比率为(32.3±4.1)%。结论:iCys激光定量成像细胞仪可以对病理切片样本中的化学发光以及荧光信号进行大面积、高速度、高清晰的扫描,分析软件可以进行后期的图像的定性定量分析,并且可以通过对分析对象的追踪图像显示以明确统计分析的正确性。
