Laser ablation of embryonic veins in children.

BACKGROUND: Klippel-Trenaunay syndrome (KTS) and related overgrowth syndromes are rare conditions that often present to academic pediatric units and multidisciplinary vascular anomaly clinics. These conditions are commonly associated with abnormalities of the superficial and deep venous structures and carry an increased risk of venous thromboembolism. METHODS: A retrospective chart review was completed of all patients treated at Johns Hopkins All Children's Hospital with endovenous laser ablation therapy (EVLT) for management of dilated embryonic veins in the setting of limb overgrowth. RESULTS: Three patients with limb overgrowth underwent EVLT between 2015 and 2017. All patients had successful occlusion of the targeted veins on post-procedure imaging. One patient developed a cellulitis successfully treated with oral antibiotics. CONCLUSIONS: Endovenous laser ablation therapy is a well-tolerated and safe procedure for prophylactic closure of abnormal superficial embryonic veins. This study supports the use of this technique in managing increased thromboembolic risk in this unique patient population and recognizes the need for a long-term study to determine its efficacy.

Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017).

Understanding the emergence, co-evolution, and convergence of science and technology (S&T) areas offers competitive intelligence for researchers, managers, policy makers, and others. This paper presents new funding, publication, and scholarly network metrics and visualizations that were validated via expert surveys. The metrics and visualizations exemplify the emergence and convergence of three areas of strategic interest: artificial intelligence (AI), robotics, and internet of things (IoT) over the last 20 years (1998-2017). For 32,716 publications and 4,497 NSF awards, we identify their topical coverage (using the UCSD map of science), evolving co-author networks, and increasing convergence. The results support data-driven decision making when setting proper research and development (R&D) priorities; developing future S&T investment strategies; or performing effective research program assessment.