Join the audience for a live webinar at 4 p.m. GMT/8 a.m. PST on Thursday 19 February 2026
In this webinar, get an inside look at European Radiosurgery Center Munich – a high-volume ZAP-X centre – with insights into its vault-free treatment suite, clinical workflow, patient volumes, and treated indications. The webinar will cover the fundamentals of the ZAP-X delivery system and what sets it apart from other SRS platforms; showcase real-world performance through complex clinical cases; and provide a concise overview of the recently unveiled next-generation ZAP-Axon radiosurgery planning system.
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ZAP-X is a next-generation, cobalt-free, vault-free stereotactic radiosurgery system purpose-built for the brain. Delivering highly precise, non-invasive treatments with exceptionally low whole-brain and whole-body dose, ZAP-X’s gyroscopic beam delivery, refined beam geometry and fully integrated workflow enable state-of-the-art SRS without the burdens of radioactive sources or traditional radiation bunkers.
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Theresa Hofman is deputy head of medical physics at the European Radiosurgery Center Munich (ERCM), specializing in stereotactic radiosurgery with the CyberKnife and ZAP‑X systems. She has been part of the ERCM team since 2018 and has extensive clinical experience with ZAP‑X, one of the first centres worldwide to implement the technology in 2021. Since then, the team has treated more than 900 patients with ZAP‑X, and she is deeply involved in both clinical use and evaluation of its planning software.
She holds a master’s degree in physics from Ludwig Maximilian University of Munich, where she authored two first‑author publications on range verification in carbon‑ion therapy. At ERCM, she has published additional first‑author studies on CyberKnife kidney‑treatment accuracy and on comparative planning between ZAP‑X and CyberKnife. She is currently conducting further research on the latest ZAP‑X planning software. Her work is driven by the goal of advancing high‑quality radiosurgery and ensuring the best possible treatment for every patient.
