Computed Tomography Perfusion Measurements in Renal Lesions Obtained by Bayesian Estimation, Advanced Singular-Value Decomposition Deconvolution, Maximum Slope, and Patlak Models Intermodel Agreement and Diagnostic Accuracy of Tumor Classification

Deniffel Dominik; Boutelier Timothe; Labani Aissam; Ohana Mickael; Pfeiffer Daniela; Roy Catherine

首页> 外文期刊>Investigative radiology >Computed Tomography Perfusion Measurements in Renal Lesions Obtained by Bayesian Estimation, Advanced Singular-Value Decomposition Deconvolution, Maximum Slope, and Patlak Models Intermodel Agreement and Diagnostic Accuracy of Tumor Classification

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Computed Tomography Perfusion Measurements in Renal Lesions Obtained by Bayesian Estimation, Advanced Singular-Value Decomposition Deconvolution, Maximum Slope, and Patlak Models Intermodel Agreement and Diagnostic Accuracy of Tumor Classification

机译：通过贝叶斯估计，先进的奇异价值分解解卷积，最大坡度和Patlak模型协议和肿瘤分类诊断准确性，计算肾脏病变中的肾脏病变灌注测量

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Objectives The aims of this study were to evaluate the agreement of computed tomography (CT)-perfusion parameter values of the normal renal cortex and various renal tumors, which were obtained by different mathematical models, and to evaluate their diagnostic accuracy.

机译：目的本研究的目的是评估通过不同数学模型获得的正常肾皮层和各种肾肿瘤的计算断层扫描（CT）霉菌参数值的协议，并评估其诊断准确性。

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来源
《Investigative radiology》 |2018年第8期|共9页
作者
Deniffel Dominik; Boutelier Timothe; Labani Aissam; Ohana Mickael; Pfeiffer Daniela; Roy Catherine;
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作者单位

Tech Univ Munich Dept Diagnost &

Intervent Radiol Klinikum Rechts Isar Ismaninger Str 22 D;

Olea Med Dept Res &

Innovat La Ciotat France;

Univ Strasbourg Dept Radiol B Nouvel Hop Civil Strasbourg France;

Univ Strasbourg Dept Radiol B Nouvel Hop Civil Strasbourg France;

Tech Univ Munich Dept Diagnost &

Intervent Radiol Klinikum Rechts Isar Ismaninger Str 22 D;

Univ Strasbourg Dept Radiol B Nouvel Hop Civil Strasbourg France;

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原文格式 PDF
正文语种 eng
中图分类放射医学;
关键词
Computed tomography; x-ray; perfusion imaging; models; theoretical; Bayesian method; kidney neoplasms; diagnostic imaging; carcinoma; renal cell;

机译：计算断层扫描;X射线;灌注成像;模型;理论;贝叶斯方法;肾肿瘤;诊断成像;癌;肾细胞;

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1. Computed Tomography Perfusion Measurements in Renal Lesions Obtained by Bayesian Estimation, Advanced Singular-Value Decomposition Deconvolution, Maximum Slope, and Patlak Models Intermodel Agreement and Diagnostic Accuracy of Tumor Classification [J] . Deniffel Dominik, Boutelier Timothe, Labani Aissam, Investigative radiology . 2018,第8期

机译：通过贝叶斯估计，先进的奇异价值分解解卷积，最大坡度和Patlak模型协议和肿瘤分类诊断准确性，计算肾脏病变中的肾脏病变灌注测量
2. Comparison of Renal Blood Flow Using Maximum Slope-Based Computed Tomography Perfusion and Ultrasound Flow Probe in Healthy Dogs [J] . Lee Sang-Kwon, Jang Youjung, Jung Jin-Woo, Frontiers in Veterinary Science . 2020,第1期

机译：使用最大斜率的计算机断层扫描灌注和健康犬超声流探针的肾血流比较
3. Effect of contrast medium injection rate on computed tomography-derived renal perfusion estimates obtained with the maximum slope method in healthy Beagles [J] . Lee Sang-Kwon, Kim Cheolhyun, Yoon Sooa, American Journal of Veterinary Research . 2019,第2期

机译：对比介质注射率对具有最大斜视法在健康大珠中的最大坡度方法获得的计算断层摄影衍生肾灌注估计
4. Comparison of Renal Blood Flow Using Maximum Slope-Based Computed Tomography Perfusion and Ultrasound Flow Probe in Healthy Dogs [O] . Sang-Kwon Lee, Youjung Jang, Jin-Woo Jung, 2020

机译：使用最大斜率的计算机断层扫描灌注和健康犬超声流探针的肾血流比较
5. Comparison of Renal Blood Flow Using Maximum Slope-Based Computed Tomography Perfusion and Ultrasound Flow Probe in Healthy Dogs [O] . Sang-Kwon Lee, Youjung Jang, Jin-Woo Jung, 2020

机译：使用最大斜率的计算机断层扫描灌注和健康犬超声流探针的肾血流比较

Computed Tomography Perfusion Measurements in Renal Lesions Obtained by Bayesian Estimation, Advanced Singular-Value Decomposition Deconvolution, Maximum Slope, and Patlak Models Intermodel Agreement and Diagnostic Accuracy of Tumor Classification

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