Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Magn Reson Med. 2012 Nov;68(5):1614-22. doi: 10.1002/mrm.24150. Epub 2012 Jan 9.
The purpose of this study is to evaluate perfusion indices and pharmacokinetic parameters in solitary pulmonary nodules (SPNs). Thirty patients of 34 enrolled with SPNs (15-30 mm) were evaluated in this study. T1 and T2-weighted structural images and 2D turbo FLASH perfusion images were acquired with shallow free breathing. B-spline nonrigid image registration and optimization by χ² test against pharmacokinetic model curve were performed on dynamic contrast-enhanced MRI. This allowed voxel-by-voxel calculation of k(ep) , the rate constant for tracer transport to and from plasma and the extravascular extracellular space. Mean transit time, time-to-peak, initial slope, and maximum enhancement (E(max) ) were calculated from time-intensity curves fitted to a gamma variate function. After blinded data analysis, correlation with tissue histology from surgical resection or biopsy samples was performed. Histologic evaluation revealed 25 malignant and five benign SPNs. All benign SPNs had k(ep) < 1.0 min⁻¹. Nineteen of 25 (76%) malignant SPNs showed k(ep) > 1.0 min⁻¹. Sensitivity to diagnose malignant SPNs at a cutoff of k(ep) = 1.0 min⁻¹ was 76%, specificity was 100%, positive predictive value was 100%, negative predictive value was 45%, and accuracy was 80%. Of all indices studied, k(ep) was the most significant in differentiating malignant from benign SPNs.
本研究旨在评估孤立性肺结节(SPN)的灌注指数和药代动力学参数。本研究共评估了 34 名患者中的 30 名患有 SPN(15-30mm)的患者。在浅呼吸状态下,获得 T1 和 T2 加权结构图像和 2D 涡轮 FLASH 灌注图像。通过χ²检验对药代动力学模型曲线进行 B 样条非刚性图像配准和优化。这允许对动态对比增强 MRI 进行体素对体素计算,以获得 k(ep),即示踪剂从血浆和血管外细胞外空间向血浆和血管外细胞外空间运输的速率常数。从拟合伽马变量函数的时间强度曲线计算平均通过时间、峰值时间、初始斜率和最大增强(E(max))。在盲数据分析后,与手术切除或活检样本的组织病理学进行了相关性分析。组织学评估显示 25 个恶性和 5 个良性 SPN。所有良性 SPN 的 k(ep)均<1.0 min⁻¹。25 个恶性 SPN 中有 19 个(76%)k(ep)>1.0 min⁻¹。以 k(ep)=1.0 min⁻¹为截断值诊断恶性 SPN 的敏感性为 76%,特异性为 100%,阳性预测值为 100%,阴性预测值为 45%,准确性为 80%。在所有研究的指标中,k(ep)是区分恶性和良性 SPN 的最显著指标。