MRI evaluation of peripheral vascular anomalies using time-resolved imaging of contrast kinetics (TRICKS) sequence.

Abstract

We describe the use of time-resolved imaging of contrast kinetics (TRICKS) sequence in the diagnosis of Peripheral Vascular Anomalies. In case of suspected vascular malformations time-resolved MR angiography might add important information for therapeutic decisions and follow-up. The objective of our study was to assess the usefulness and diagnostic performance of time-resolved imaging of contrast kinetics sequence in the evaluation of peripheral vascular anomalies. Sixty-six patients (23 pediatric, 43 adult; mean age 26) affected by upper or lower limb vascular anomalies and studied using time-resolved imaging of contrast kinetics sequence were prospectively evaluated. All studies were performed on a 1.5-T whole-body MR system. Two independent readers tried to categorized the suspected vascular anomalies in pre-contrast and post-contrast MR sequences and assessed the overall TRICKS image quality. In 11 patients, the diagnostic performance comparability between TRICKS sequence and digital subtraction angiography was evaluated. On the basis of time-resolved imaging of contrast kinetics, 31 of the vascular anomalies were classified as high-flow vascular malformations, 29 as low-flow vascular lesions and 6 as hemangiomas. There was no significant difference in image quality evaluation and vascular anomaly classification between the two observers. The vascular anomalies characteristics provided by moderate, good or excellent quality TRICKS images were confirmed by digital subtraction angiography. Time-resolved imaging of contrast kinetics sequence let the radiologist to acquire useful temporal information to correctly evaluate vascular anomalies components, adding more data to those provided by conventional MR sequences, especially in case of arteriovenous malformation. Therefore, both in pediatric and adult population, TRICKS could be used as an additional initial diagnostic tool to rightly classify these lesions and evaluate if a treatment is needed and which.