Assessment of Differential Pulmonary Blood Flow Using Perfusion Magnetic Resonance Imaging: Comparison With Radionuclide Perfusion Scintigraphy

Assessment of Differential Pulmonary Blood Flow Using Perfusion Magnetic Resonance Imaging: Comparison With Radionuclide Perfusion Scintigraphy
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DOI:
10.1097/01.rli.0000225399.65609.45
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发表时间:
2006-08
影响因子:
6.7
通讯作者:
F. Molinari;C. Fink;F. Risse;S. Tuengerthal;L. Bonomo;H. Kauczor
F. Molinari;C. Fink;F. Risse;S. Tuengerthal;L. Bonomo;H. Kauczor
中科院分区:
医学1区
文献类型:
--
作者:
F. Molinari;C. Fink;F. Risse;S. Tuengerthal;L. Bonomo;H. Kauczor

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目的:我们试图评估肺灌注磁共振成像 (MRI) 计算的肺灌注比与放射性核素 (RN) 灌注闪烁扫描计算的肺灌注比之间的一致性。材料和方法:对 23 名患有不同肺部疾病(肺癌 = 15,慢性阻塞性肺病 = 4,囊性纤维化 = 2,间皮瘤 = 2)的患者(平均年龄,60±14 岁)进行 MR 和 RN 灌注扫描的回顾性分析。使用并行成像和视图共享,通过时间分辨对比增强 3D 梯度回波脉冲序列评估肺灌注(TR = 1.9 毫秒;TE = 0.8 毫秒;并行成像加速因子 = 2;分区厚度 = 4 毫米;矩阵 = 256 × 96;面内空间分辨率 = 1.87 × 3.75 毫米;每个 3D 数据集的扫描时间 = 1.5秒),使用钆基造影剂(注射流速 = 5 mL/s,剂量 = 0.1 mmol/kg 体重)。根据肺部信号时间曲线计算造影剂推注的峰值浓度 (PC)、肺血流量 (PBF) 和血容量 (PBV)。根据 MR 参数和 RN 计数计算肺灌注的左右比率。这些比率之间的一致性通过副患病率(符号检验)和定量(戴明回归)进行评估。结果:21 名 PC 患者(91%)、20 名 PBF 患者(87%)和 17 名 PBV 患者(74%)的 MR 和 RN 比率在副患病率方面一致。左右灌注比率的 MR 估计与 RN 灌注扫描的估计显着相关 (P < 0.01)。使用 PC (r = 0.67) 和 PBF (r = 0.66) 的相关性高于使用 PBV (r = 0.50) 的相关性。由 PBF 计算的 MR 比率显示出最高的准确度,其次是由 PC 和 PBV 计算的 MR 比率。独立于所使用的 MR 参数,在一些患者中,MR 和 RN 比率之间的定量差异不可忽略。结论:肺灌注MRI可用于评估肺的血流差异。需要对更大的患者群体进行进一步的研究,以充分证实这种成像方法的临床适用性。
Objectives:We sought to assess the agreement between lung perfusion ratios calculated from pulmonary perfusion magnetic resonance imaging (MRI) and those calculated from radionuclide (RN) perfusion scintigraphy. Materials and Methods:A retrospective analysis of MR and RN perfusion scans was conducted in 23 patients (mean age, 60 ± 14 years) with different lung diseases (lung cancer = 15, chronic obstructive pulmonary disease = 4, cystic fibrosis = 2, and mesothelioma = 2). Pulmonary perfusion was assessed by a time-resolved contrast-enhanced 3D gradient-echo pulse sequence using parallel imaging and view sharing (TR = 1.9 milliseconds; TE = 0.8 milliseconds; parallel imaging acceleration factor = 2; partition thickness = 4 mm; matrix = 256 × 96; in-plane spatial resolution = 1.87 × 3.75 mm; scan time for each 3D dataset = 1.5 seconds), using gadolinium-based contrast agents (injection flow rate = 5 mL/s, dose = 0.1 mmol/kg of body weight). The peak concentration (PC) of the contrast agent bolus, the pulmonary blood flow (PBF), and blood volume (PBV) were computed from the signal-time curves of the lung. Left-to-right ratios of pulmonary perfusion were calculated from the MR parameters and RN counts. The agreement between these ratios was assessed for side prevalence (sign test) and quantitatively (Deming-regression). Results:MR and RN ratios agreed on side prevalence in 21 patients (91%) with PC, in 20 (87%) with PBF, and in 17 (74%) with PBV. The MR estimations of left-to-right perfusion ratios correlated significantly with those of RN perfusion scans (P < 0.01). The correlation was higher using PC (r = 0.67) and PBF (r = 0.66) than using PBV (r = 0.50). The MR ratios computed from PBF showed the highest accuracy, followed by those from PC and PBV. Independently from the MR parameter used, in some patients the quantitative difference between the MR and RN ratios was not negligible. Conclusions:Pulmonary perfusion MRI can be used to assess the differential blood flow of the lung. Further studies in a larger group of patients are required to fully confirm the clinical suitability of this imaging method.