Computational Simulation of LAVA Treatment of Thyroid Eye Disease Predicts Soft Tissue Outcome Comparable to Two-Wall Resection.

Thyroid eye disease (TED) is a common extrathyroidal manifestation of hyperthyroidism, typically associated with Graves' disease (GD). This condition can cause severe functional limitations as well as significant aesthetic concerns. Treatment for TED patients aims to restore functionality and address aesthetic concerns. Surgical TED treatment is usually performed by orbital wall resection, which effectively decompresses intraorbital tissues and corrects the orbital/ocular disorders. Several different scenarios of surgical TED treatment including one-, two-, and three-wall resections are known. More recently, a new minimally invasive technique, the so-called lateral valgization (LAVA) of the orbital wall, was reported to show promising results comparable to conventional wall resection techniques. Due to the relatively limited data on TED treatment, only a few quantitative investigations of alternative TED surgery scenarios exist. In this feasibility study, we estimate the soft tissue outcome of LAVA treatment using computational simulation. Our experimental results show that the amount of intraorbital tissue released into the extraorbital space by LAVA treatment is comparable with the outcome of two-wall resection. Our computational simulation confirms previously reported isolated clinical findings suggesting that the minimally invasive LAVA approach represents an attractive alternative to conventional wall resection approaches for surgical TED treatment.