Bourhis David, Wagner Laura, Essayan Marine, Robin Philippe, Le Pennec Romain, Salaun Pierre Yves, Le Roux Pierre Yves
Service de Médecine Nucléaire, Centre Hospitalier Régional Universitaire de Brest, Brest, France.
EA3878 GETBO, Université de Bretagne Occidentale, Brest, France.
Front Med (Lausanne). 2020 Aug 18;7:461. doi: 10.3389/fmed.2020.00461. eCollection 2020.
There is currently no reliable or validated tool to delineate and quantify functional lung volumes with ventilation/perfusion (V/Q) SPECT/CT. The main challenges encountered include the physiological non-uniformity of lung function, such as the anterior-to-posterior gradient on perfusion images, and the lack of ground truth to assess the accuracy of delineation algorithms. In that respect, Monte-Carlo simulations would be an interesting tool. Thus, the aim of this study was to develop a realistic model of dual-isotope lung V/Q SPECT-CT Monte-Carlo simulations, integrating the anterior to posterior gradient on perfusion. Acquisitions and simulations parameters were set in accordance to nuclear medicine guidelines for V/Q lung SPECT-CT. Projections were acquired and simulated, then the reconstructions [with and without attenuation correction (AC)] were compared. A model was built from a patient's CT scan. To model the anterior to posterior gradient, the lungs were divided into sixteen coronal planes, where a rising radioactivity concentration was set. To assess the realism of simulations, they were compared to a normal co-registered normal cases database in terms of pixelwize Z-score map. For ventilation images, mean (SD) Zscores on Zscore maps were -0.2 (0.7) and -0.2 (0.7) for AC and noAC images, respectively. For perfusion images, mean (SD) Zscores were -0.2 (0.6) and -0.1 (0.6) for AC and noAC images, respectively. We developed a model for dual isotopes lung V/Q SPECT-CT, integrating the anterior-to-posterior gradient on perfusion images. This model could be used to build a catalog of clinical scenarios, in order to test delineation methods of functional lung volumes.
目前,尚无可靠或经过验证的工具可用于通过通气/灌注(V/Q)单光子发射计算机断层扫描/计算机断层扫描(SPECT/CT)来描绘和量化功能性肺容积。所遇到的主要挑战包括肺功能的生理不均匀性,例如灌注图像上的前后梯度,以及缺乏用于评估描绘算法准确性的金标准。在这方面,蒙特卡洛模拟将是一个有趣的工具。因此,本研究的目的是开发一种双同位素肺V/Q SPECT-CT蒙特卡洛模拟的真实模型,整合灌注图像上的前后梯度。采集和模拟参数根据V/Q肺SPECT-CT的核医学指南进行设置。获取并模拟投影,然后比较[有和无衰减校正(AC)的]重建结果。根据患者的CT扫描构建模型。为了模拟前后梯度将肺分为16个冠状平面,并设置放射性浓度逐渐升高。为了评估模拟的真实性,根据像素级Z评分图将其与正常配准的正常病例数据库进行比较。对于通气图像,AC图像和无AC图像在Z评分图上的平均(标准差)Z分数分别为-0.2(0.7)和-0.2(0.7)。对于灌注图像,AC图像和无AC图像的平均(标准差)Z分数分别为-0.2(0.6)和-0.1(0.6)。我们开发了一种双同位素肺V/Q SPECT-CT模型,整合了灌注图像上的前后梯度。该模型可用于构建临床场景目录,以测试功能性肺容积的描绘方法。