Elekta will showcase Leksell Gamma Knife Registry at the American Association of Neurological Surgeons (AANS) annual meeting, which will be held from 2 to 6 May in Washington D.C.

"Gamma Knife Registry is a cloud-based solution that allows practitioners to store, retrieve, and analyze Gamma Knife radiosurgery treatment data, as well as patient outcomes and operational information in a common format," says Catherine Gilmore-Lawless, Elekta Vice President, Clinical Intelligence. "

"By enabling uniform data entry and indication-specific analysis of Gamma Knife radiosurgery outcomes, clinicians now have a powerful tool to expand the use of this proven technology for more indications."

Currently deployed at several top academic medical centers, Leksell Gamma Knife Registry aims to identify global treatment patterns with Leksell Gamma Knife, and connections between treatment parameters and outcomes.

It also aims to provide integrated longitudinal data that could help clinicians develop insights to better select patients, personalize the treatment paradigm, and improve quality and advance collaboration in clinical research.

"As a part of Elekta’s Knowledge Management solution, Gamma Knife Registry is critical to deliver on our vision of Information-guided care," says Richard Stark, Senior Vice President, Elekta Software.

Leksell Gamma Knife Registry encompasses a secure HIPAA-compliant data warehouse and advanced indication specific analytics. Aggregated, de-identified data can be used for studies undertaken by the global Gamma Knife community.

Registry development was a joint effort between Elekta and renowned Gamma Knife centers, including the University of Pittsburgh Medical Center, and veteran Gamma Knife radiosurgery practitioners, notably, Douglas Kondziolka, MD, Professor of Neurosurgery and Radiation Oncology at New York University School of Medicine.

Elekta supports the National SRS Brain Registry, a joint effort by the American Society for Radiation Oncology (ASTRO) and AANS which seeks to define national patterns of care in radiosurgery with an eye toward improving health care outcomes, supporting informed decision making and potentially lowering the cost-of-care delivery to patients.