Publications

The IQM System has been thoroughly evaluated by some of the world's leading radiation therapy centers.
Select your topic of interest from 15 articles, 16 posters,
18 presentations and 3 technical white papers.

Marrazzo - Real-time beam monitoring

Real-time beam monitoring for error detection in IMRT plans and impact on DVH

Author:
Livia Marrazzo, et al, Multi-centre study of 3 RT departments

Summary:
This article shows the ability of detecting small delivery errors with a transmission detector for online monitoring of Intensity Modulated Radiation Therapy (IMRT) treatments. The authors also show how the IQM signal deviations strongly correlate with changes in the dose-volume-histogram for the PTV and OAR’s.

Pasler Marrazzo - Error detection capability

Error detection capability of IQM: an validation study for online VMAT monitoring

Author:
Marlies Pasler, Livia Marrazzo, et al, Lake Constance Radiation Oncology Center, Friedrichshafen (Germany) and University of Florence (Italy)

Summary:
Deviations in dose distributions between the original and error-induced plans were compared in terms of detector signal deviation, dose-volume histogram (DVH) metrics and 2D γ-evaluation.

Real-time verification of VMAT delivery

Author:
Makan Farrokhkish, et al, Princess Margaret Cancer Centre, Toronto (Canada)

Summary:
Evaluation of the IQM beam monitoring performance to assess the accuracy and reproducibility of the linac beam delivery. The signal calculation accuracy and measurement reproducibility as well as the error detection capability of the IQM System was evaluated. For this study the author analyzed 52800 beam segments.

Correlation of error detection sensitivities for two VMAT QA systems

Author:
Kilian Michel, Lake Constance Radiation Oncology Center, Singen-Friedrichshafen (Germany)

Summary:
Sensitivity of PTW Octavius, IBA Dolphin and IQM for various delivery errors

IMRT Plan QA with IQM

Author:
Sonja Wegener, et al, Unversity Clinic Wurzburg (Germany)

Summary:
Evaluation of the IQM System for IMRT plan QA. The IQM Calculation algorithm has been validated for a wide spectrum of clinical IMRT cases. The error sensitivity of the IQM System has been tested with a variety of induced errors. The error detection capability of the IQM System has been compared against their current IMRT QA approaches.

Online Dosimetry with IQM

Author:
Kilian Michel, Lake Constance Radiation Oncology Center, Singen-Friedrichshafen (Germany)

Summary:
Evaluation of the IQM System for Online Dosimetry during the patient treatment. The long-term signal stability, the error detection sensitivity for induced errors, the correlation of the IQM and the Dose-Volume-Histogram as well as treatment plan verification with the IQM System has been evaluated.

UFS - Sensitivity Analysis

Sensitivity analysis of the IQM System using Monte Carlo simulation

Author:
Oluwaseyi M. Oderinde, et al, University of the Free State, Bloemfontein (South Africa)

Summary:
Evaluation of the IQM error sensitivity in beam segments using EGSnrc/BEAMnrc Monte Carlo (MC) codes

Pre-clinical tests of the IQM system

Author:
Marlies Pasler, Lake Constance Radiation Oncology Center, Friedrichshafen (Germany)

Summary:
Evaluation of the potential of the IQM System to catch errors before they become clinically relevant. They also checked if IQM would help them to improve the efficiency of their processes and finally they checked if IQM would replace their current pre-treatment QA. They concluded that IQM could improve the efficiency of their workflow and that the error detection capabilities are sufficient for clinical practice.

Delivery errors detectability

Author:
Livia Marrazzo, et al, University of Florence, AOU Careggi Florence (Italy)

Summary:
Evaluate the correlation between the changes in the detector output signal induced by small delivery errors with other metrics, such as the γ passing rate and the DVH variations. The authors concluded that IQM is capable of detecting small delivery errors and that it exhibits a good correlation with other metrics currently used to determine the quality of a treatment plan.

Evaluation of IQM for monitoring real-time delivery

Author:
Gloria Miori, et al, Azienda Provinciale per i Servizi Sanitari, Trento (Italy)

Summary:
Evaluation of the IQM System for real-time beam delivery verification. They analysed the IQM beam attenuation and IQM’s ability to detect VMAT delivery errors. They concluded that the IQM beam attenuation can be considered to be homogenous in both X and Y directions and the machine-specific beam attenuation percentage could be used to rescale treatment plan dose for clinically IQM use. IQM shows appreciable features in detecting real-time errors and for time-saving QAs

Testing IQM

Author:
Cinzia Talamonti, et al, University of Florence, AOU Careggi, Florence (Italy)

Summary:
The authors evaluated the IQM during the pre-clinical testing. She concludes that IQM provides optimal performance for signal reproducibility of complex IMRT plans. IQM is capable of detecting small errors in MU and leaf positions sufficient for clinical practice

Reproducibility and sensitivity of IQM

Author:
Chiara Arilli, et al, University of Florence, AOU Careggi, Florence (Italy)

Summary:
The authors evaluated the output signal reproducibility and sensitivity in detecting small errors in delivery parameters of IMRT step and shoot treatments using the IQM System as well as the correlation between IQM signal variations and 3Dγ, 2Dγ and DVH parameters.

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