Technology | Quality Assurance (QA) | July 10, 2019

IBA Launches Monte Carlo Patient QA for Varian Halcyon at AAPM 2019

New SciMoCa Monte Carlo patient QA enables fast and efficient quality assurance accuracy for Varian Halcyon in addition to all other major radiation therapy systems

IBA Launches Monte Carlo Patient QA for Varian Halcyon at AAPM 2019

July 10, 2019 — IBA announced the launch of the latest functionality of the SciMoCa Monte Carlo Patient QA solution at the 61st annual American Association of Physicists in Medicine (AAPM) annual meeting, July 14-18 in San Antonio, Texas. The new release of SciMoCa provides what IBA calls the first and only worldwide commercial Monte Carlo Patient QA for the Varian Halcyon System.

Healthcare professionals can now verify all Halcyon treatment plans independently, accurately, and with an automated and efficient workflow. The fast Monte Carlo dose calculation enables highly accurate results even for the most challenging cases like non-coplanar stereotactic body radiation therapy (SBRT), and in particular for indications with tissue inhomogeneity like lung and head & neck treatments.

Monte Carlo is the gold standard for dose calculation accuracy in treatment planning. With SciMoCa, the accuracy of Monte Carlo is now available for independent secondary dose calculation and patient QA (quality assurance) as well, allowing users to verify the most advanced treatment plans with an equally robust and fast QA solution. SciMoCa is used clinically for all standard linear accelerator (linac) types, for the Accuray CyberKnife and TomoTherapy/Radixact, and is now also compatible with Varian Halcyon.

The high-quality beam models for SciMoCa are created linac-specific for customers applying dedicated processes, expert tools and experience. This process allows an independent verification of the commissioning data and the TPS model, providing an additional level of peace of mind about the accuracy of the machine and TPS commissioning. This is particularly valuable for pre-commissioned treatment machines like Halcyon.

The SciMoCa software is manufactured by Radialogica LLC and globally distributed by IBA Dosimetry.

For more information: www.iba-dosimetry.com

Related Content

Low four-year rates of gastrointestinal (13.6 percent) and urologic issues (7.6 percent) suggest hypofractionated proton therapy as an alternative to traditional radiotherapy to reduce toxicity.

Low four-year rates of gastrointestinal (13.6 percent) and urologic issues (7.6 percent) suggest hypofractionated proton therapy as an alternative to traditional radiotherapy to reduce toxicity.

Feature | Prostate Cancer | October 16, 2019 | By Jeff Zagoudis
Radiation therapy is an important tool in the clinician’s armamentarium for treatment of localized, early-stage prost
Videos | Radiation Oncology | October 11, 2019
Lorraine Drapek, DNP, nurse practitioner, radiation oncology, GI service,...
Patient Treatments With ViewRay's MRIdian Linac Begin in New England
News | Image Guided Radiation Therapy (IGRT) | October 08, 2019
ViewRay Inc. announced today that patient treatments are scheduled to begin in Boston with ViewRay's MRIdian Linac...
ProTom International received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its Radiance 330 proton therapy system
News | Proton Therapy | October 07, 2019
ProTom International received 510(k) clearance from the U.S.
Videos | Prostate Cancer | September 30, 2019
Bill Hartsell, M.D., medical director of the Northwestern Medicine Proton Center in Warrenville, Ill., discusses the
eBook on Hypofractionation in the Age of Value-based Care

eBook on Hypofractionation in the Age of Value-based Care

Sponsored Content | Case Study | Radiation Therapy | September 30, 2019
Hypofractionated and ultrahypofractionated radiation therapy — increasing dose per fraction to enable significantly f
AI Accurately Predicts Radiotherapy Side Effects for Head and Neck Cancer Patients
News | Artificial Intelligence | September 26, 2019
For the first time, a sophisticated computer model has been shown to accurately predict two of the most challenging...