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Diffusion weighted cardiovascular magnetic resonance imaging for discriminating acute from non-acute deep venous Thrombus

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单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Dept Radiol, Tongji Med Coll, 1095 Jiefang Ave, Wuhan 430030, Hubei, Peoples R China [2]St Johns Med Ctr, Dept Radiol, Tulsa, OK USA
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关键词: Thrombus MRI Diffusion Apparent diffusion coefficient

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BackgroundThe importance of discriminating acute from non-acute thrombus is highlighted. The study aims to investigate the feasibility of readout-segmented diffusion weighted (DW) cardiovascular magnetic resonance (CMR) for discrimination of acute from non-acute deep venous thrombus (DVT).MethodsFor this prospective study from December 2015 to December 2017, 85 participants (mean age=53years, age range=3474) with DVT of lower extremities underwent readout-segmented DW CMR. DVT of <= 14days were defined as acute (n=55) and>14days as non-acute (n=30). DVT visualization on b=0, b=800, and apparent diffusion coefficient (ADC) images were assessed using a 4-point scale (03, poorexcellent). DW CMR parameters were measured using region of interest (ROI). Relative signal intensity (rSI) and ADC were compared between acute and non-acute DVT using a Mann Whitney test. Sensitivity and specificity for ADC and rSI were calculated.ResultsADC maps had higher visualization scores than b=0 and b=800 images (2.70.5, 2.50.6, and 2.4 +/- 0.6 respectively, P<0.05). The mean ADC was higher in acute DVT than non-acute DVT (0.56 +/- 0.17x10(-3) vs. 0.22 +/- 0.12x10(-3)mm(2)/s, P<0.001). Using 0.32x10(-3)mm(2)/s as the cutoff, sensitivity and specificity for ADC to discriminate acute from non-acute DVT were 93 and 90% respectively. Sensitivity and specificity were 73 and 60% for rSI on b=0, and 75 and 63% for rSI on b=800.Conclusions Readout segmented diffusion-weighted CMR derived ADC distinguishes acute from non-acute DVT.Trial registration This study is retrospectively registered. Trial registration number: HUST-TJH-2015-146.

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出版当年[2018]版:
大类 | 2 区 医学
小类 | 1 区 核医学 2 区 心脏和心血管系统
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 心脏和心血管系统 2 区 核医学
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出版当年[2017]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
最新[2023]版:
Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Dept Radiol, Tongji Med Coll, 1095 Jiefang Ave, Wuhan 430030, Hubei, Peoples R China
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