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Arterial Spin-Labeling to Discriminate Pediatric Cervicofacial Soft-Tissue Vascular Anomalies
G Boulouis1,2,3, V Dangouloff-Ros4,5, O Boccara6,7,8,9,10
1From the Department of Pediatric Radiology (G.B., V.D.-R., N.B., O.N., F.B.) gregoireboulouis@gmail.com.
Background And Purpose:
Differentiating major subtypes of cervicofacial vascular lesions is crucial for appropriate management. The aim of our study was to evaluate the performance of an MR imaging arterial spin-labeling perfusion sequence in discriminating pediatric cervicofacial soft-tissue vascular anomalies.
Materials And Methods:
We conducted a retrospective analysis of data from a prospectively maintained registry including pediatric patients at a tertiary pediatric center between January 2012 and January 2014. We included pediatric patients with a final diagnosis of soft-tissue vascular anomalies and an MR imaging, including an arterial spin-labeling sequence at presentation. We performed an analysis of lesion perfusion, blinded to clinical data, by using concurrent spiral 3D pseudocontinuous arterial spin-labeling (1.5T magnet; spiral matrix, 512 × 8 mm; postlabeling delay, 1025 ms). Lesional flow was recorded with calibrated intralesional ROIs. Perfusion characteristics were compared among lesion subtypes with the Mood Median test.
Results:
Among 840 patients screened, 46 matched the inclusion criteria and were included (median age, 1.45 years; interquartile range, 0.4-5.1 years; 27 females). Hemangiomas, including infantile hemangiomas (n = 18 patients) and noninvoluting (n = 2) and rapidly involuting (n = 1) congenital types, demonstrated marked hyperperfusion (median flow, 436 mL/min/100 g; interquartile range, 212.5-603 mL/min/100 g), significantly higher than that of lymphatic malformations (median, 22.5 mL/min/100 g; interquartile range, 16-60 mL/min/100 g; P < .001) or venous malformations (median, 25 mL/min/100 g; interquartile range, 15-66.5 mL/min/100 g; P = .003).
Conclusions:
MR imaging arterial spin-labeling is a valuable tool for the assessment of soft-tissue vascular anomaly hemodynamics and for the classification of major lesion subtypes.
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