Dynamic Digital Radiography (DDR) for Pulmonary Blood Flow Assessment After Lung Transplantation: Insights From Two Case Studies

动态数字放射成像(DDR)在肺移植术后肺血流评估中的应用:两例病例研究的启示

阅读:1

Abstract

Dynamic digital radiography (DDR) is an innovative imaging modality that enables real-time evaluation of dynamic processes by combining sequential images. DDR can assess pulmonary blood flow by analyzing variations in black and white signal intensities within the lung field. This case series evaluates the utility and limitations of DDR for monitoring pulmonary blood flow and thrombosis in two patients following lung transplantation. DDR findings were compared with those of pulmonary perfusion scintigraphy (PPS), the current gold standard for assessing regional pulmonary perfusion distribution. Case 1 is a male in his 40s who underwent a single (left) lung transplantation. Postoperative DDR indicated pulmonary perfusion distributions between the autologous (right) and transplanted (left) lungs of 46.89% vs. 53.11% at 3.5 months and 38.02% vs. 61.98% at six months. However, PPS indicated markedly different distributions: 15.78% vs. 84.22% at two months and 19.34% vs. 80.66% at six months. Case 2 is a male in his 40s who underwent bilateral sequential lung transplantation. DDR indicated pulmonary perfusion distributions between the right and left transplanted lungs of 51.10% vs. 48.90% at two months and 48.48% vs. 51.52% at six months. In this case, PPS findings were in close agreement: 54.82% vs. 45.18% at two months and 48.70% vs. 51.30% at six months. Contrast-enhanced CT confirmed the absence of thrombosis and flow abnormalities. DDR imaging in lung transplant patients offers a low-radiation and convenient approach for monitoring respiratory function and assessing complications. However, our findings indicate that DDR assessments of pulmonary blood flow do not consistently match those of PPS, the current reference standard. Caution and further investigations regarding the use of DDR are needed, including in the context of thrombosis evaluation.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。