Caval flow contribution to each lung is of interest in Fontan circulation due to the increased risk of developing pulmonary arteriovenous malformations when flow is unevenly distributed. Existing methods to assess this risk are invasive and require ionizing radiation, posing additional risks to pediatric patients during longitudinal monitoring. In this study, we demonstrate a non-invasive, non-ionizing assessment of the origin of pulmonary blood flow, as well as quantitative pulmonary perfusion using arterial spin labeled MR, and compare with the previously proposed 4D-flow measurement of caval flow distribution.
19 patients with Fontan circulation (age 15.2 ± 2.4 years, 14 male) were scanned with both ASL and 4D-Flow on a 1.5T Philips Ingenia between December 2016 and July 2017, with IRB approval and informed assent.
ASL-MRI:
FAIR perfusion signal is generated using a non-selective inversion to invert inflowing blood from outside of the imaging region, and therefore does not discriminate based on the source vessel of inflowing blood, thus measuring total lung perfusion. pCASL uses a labeling plane to invert blood in a vessel of interest, resulting in a perfusion image containing only blood originating from the labeled vessel. By labeling the IVC, lung perfusion images can be generated with only IVC blood5, allowing for the IVC contribution to each lung to be measured. Both FAIR and pCASL used a coronal 2D-SShTSE, four background suppression pulses, and multiple signal averages over 2-3 minutes of guided breathing to improve SNR and reduce motion artifacts. A proton-density image was also acquired for quantification.
FAIR images contained characteristic bright signal in the pulmonary vasculature, representing a pooled volume of blood, rather than tissue perfusion. Lung perfusion was analyzed after masking these bright vessels to measure the underlying true tissue perfusion. The vessel mask was generated automatically for each patient by fitting the lung perfusion histogram to a lognormal distribution6 and setting the perfusion threshold to the distribution mean + 0.25*SD.
4D-Flow:
4D-flow images were acquired over 10-15 minutes, with velocity encoding of 150 cm/s, and were analyzed using GTFlow to quantify differential IVC flow7. Particle pathlines were generated from the IVC, and differential flow was calculated from the percentage of these particles reaching the LPA and RPA. 4D-flow analysis was unsuccessful in four subjects due to artifacts near the IVC-PA junction caused by metal stents or fenestration closure devices. Statistics were calculated for the remaining 15 subjects.
Fig.1 shows coronal FAIR perfusion images, showing total lung perfusion, and pCASL perfusion images, showing only IVC contribution to the lungs. pCASL perfusion images showed good agreement with 4D-flow pathlines from the IVC in three representative subjects.
The mean percentage of IVC flow to the right lung across all subjects using ASL and 4D-Flow was 52% and 56%, respectively, and ranged from 28-71% with ASL and 36-78% with 4D-Flow. Fig. 2a shows good agreement between the two techniques with a Pearson correlation coefficient of 0.72 (p< 0.01), and Bland Altman analysis in Fig. 2b shows a relatively low bias of 4.39% between the two techniques. Mean total lung perfusion (measured with FAIR) across all subjects was 469 ± 198 mL/100g/min, within the accepted normal range3.
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