Treatment strategy for splenic artery aneurysms and novel classification based on imaging.

Objective: The incidence of splenic artery aneurysms (SAAs) has increased with advances in imaging techniques, necessitating a comprehensive classification to guide treatment strategies. This study aims to propose a novel classification system for SAAs based on aneurysm characteristics and to review treatment outcomes at our center.

Methods: This retrospective study included 113 patients with SAAs admitted to Peking Union Medical College Hospital from January 2019 to December 2023, assessed using computed tomography angiography or digital subtraction angiography. A new classification system was devised based on the aneurysm location, morphology, integrity, and parent artery anatomy. Treatment strategies were determined based on these characteristics, with interventions ranging from endovascular therapy to laparoscopic and open surgery. Patients were followed up after the intervention to assess mortality, complications, reinterventions, and aneurysm-related outcomes.

Results: The study cohort of 113 patients with 127 SAAs had a predominance of female patients (63.7%) and a mean age of 52.7 years. The SAAs were classified into five types, with type I being the most common. The intervention techniques varied across types, with sac embolization, covered stent implantation, and artery embolization being the most frequently used. The overall technical success rate was 94.7%, with perioperative complication and reintervention rates of 25.0% and 0.9%, respectively, and no deaths within 30 days after the intervention. The median follow-up duration was 21 months, with overall complications rate of 3.5% and no aneurysm-related complications or deaths.

Conclusions: The proposed classification system effectively guides the selection of treatment strategies for SAAs, incorporating key anatomical and morphological features. This system facilitated high technical success and low complication rates, underscoring the importance of tailored techniques in managing SAAs.