Signal reproducibility

Combined use of IQM and an EPID-Based In Vivo Dose Monitoring System

Author: Cinzia Talamonti, et al, University of Florence (Italy) Summary: Evaluation of the combined use of the IQM system and SoftDiso portal dosimetry software, for in vivo dose monitoring by simultaneous detection of delivery and patient setup errors in whole breast irradiation. The combined use of the IQM and SoftDiso allows for fast identification of

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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.

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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.

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Verifying TBI with IQM

Author: Gabriele Guidi, et al, University Hospital of Modena (Italy) Summary: Evaluation of IQM for the verification of TBI treatments. They investigated the influence of the IQM Detector on depth dose curves and beam profiles for an extended SSD of 170cm. The presentation outlines the considerations that should be applied when utilizing IQM for TBI

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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

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