What is SciMoCa? How will it improve daily QA work?
SciMoCa establishes a new standard for accuracy in secondary dose check and independent plan QA. SciMoCa is powered by the accuracy of Monte Carlo dose calculations. It identifies TPS dose errors and discrepancies with minimal effort, and provides instantaneous feedback regarding treatment plan quality and achievement of planning objectives. SciMoCa utilizes a best-inclass Monte Carlo dose calculation algorithm with an outstanding academic pedigree to assure the quality of your QA. Enhance the quality of your treatment planning and patient QA with the accuracy of Monte Carlo.Contact us for your individual solution!
SciMoCa achieves an accuracy of < 1% and matches the precision of such top-tier algorithms as Varian´s Acuros® and Accuray´s Precision® Monte Carlo. The Monte Carlo calculation provides dose to medium and dose to water. This accuracy is achieved due to the quality of this Monte Carlo implementation in addition to a custom machine-specific Linac beam model. This model is generated for the customer using proprietary processes and dedicated expert tools, backed by extensive expertise.
Monte Carlo. Unlimited.
SciMoCa supports all major RT treatment machines:
- All C-Gantry based conventional Linacs from Elekta™, Siemens, and Varian.
- CyberKnife® (cones, Iris, and MLC).
- TomoTherapy® supported is expected in Q2 2019*.
- Varian Halcyon™ supported is expected in Q3 2019*.
SciMoCa supports all treatment planning systems that provide DICOM export.
SciMoCa supports a wide range of treatment techniques such as 3D, IMRT, VMAT, SBRT, SRS, and CyberKnife® treatments.
* Work in progress, not commercially available. IBA Dosimetry / Radialogica make no claims as to exact date of availability or to future availability in all markets.
SciMoCa provides the full overview whether the treatment plan is within constraints or not. The speed of the Monte Carlo engine for full 3D dose calculations is truly impressive because the algorithm makes optimum use of modern hardware architecture. The outstanding performance is enabled through the fast dose engine, calculation in the background, and the automation of the workflow.
Towards real-time Monte Carlo dose computation
ESTRO 2019 Poster: M.Alber et.al. Department of Radiation Oncology, Universitätsklinikum Heidelberg; Scientific RT
SciMoCa™ secondary dose check & plan QA – Prof. M Alber
Watch Prof. Markus Alber, Medical Physicist at University of Heidelberg, Germany, speaking during AAPM 2018 at the IBA booth. Learn about the Monte Carlo algorithm and benefits of SciMoCa™ for secondary dose check and plan QA.
Research Article: Validation of the Acuros XB dose calculation algorithm versus Monte Carlo for clinical treatment plan
Lone Hoffmann, Markus Alber, Matthias Söhn, Ulrik Vindelev Elstrøm
Automated Workflow — Application Simplicity — Quality Outcome
Treatment plans are simply exported from the TPS via DICOM to the SciMoCa dose calculation server. Then SciMoCa starts the Monte Carlo calculation automatically. The patient worklist is automatically updated to keep the user informed about the current QA status of each patient plan.
SciMoCa provides automatic evaluation of dose calculation results based on customizable protocols and plan quality measures for both target volumes and OARs.
This allows users to evaluate plan quality as well as identify dose discrepancies based on user-defined dose-difference thresholds.
DVHs for the treatment plan as well as the independent SciMoCa dose distribution are compared in the comparative DVH section.
The software allows individual selection of structures for the DVH display, thereby enabling a detailed and focused evaluation of relevant ROIs.
- 3D ANALYSIS VIA SLICE VIEWER
SciMoCa includes a slice viewer to visualize the TPS dose, SciMoCa-recalculated Monte Carlo dose, and Gamma analysis on individual CT slices. The 3D viewer permits detecting dose discrepancies on the patient anatomy level.
Plan QA Reimbursement Guide
Please download the SciMoCa Reimbusrement guidelines for the USA.
Monte Carlo QA Accuracy –Physics and Clinical Experience with SciMoCa Patient QA
In this webinar the physics and clinical implementation of Monte Carlo dose check and plan QA will be discussed.
Dr Marcus Alber, a leading Monte Carlo expert, will present the importance and value of QA accuracy based on Monte Carlo, as well as the specific benefits of the SciMoCa application.
Dr Christoph Fuerweger, a medical physicist at the Munich CyberKnife Center, will present the clinical implementation and benefits of the Monte Carlo stereotactic plan QA.