Normal Dual Isotope V/Q SPECT Model for Monte-Carlo Studies

Frontiers in Medicine

article

David Bourhis¹  Laura Wagner¹  Marine Essayan¹  Philippe Robin¹  Romain Le Pennec¹  Pierre Yves Salaun¹  Pierre Yves Le Roux¹ 

[1] Centre Hospitalier Régional Universitaire de Brest;Université de Bretagne Occidentale

关键词: V/Q SPECT;    lung function;    PE;    simulation;    Z-score;   

DOI  :  10.3389/fmed.2020.00461

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Background: 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. Methods: 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. Results: 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. Conclusion: 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.

【 授权许可】

CC BY