The (freely available) MIRDy90 MS Excel worksheet was developed to provide a vetted research tool to help evaluate patient-specific prescribed activities calculated via different models, namely, body-surface area (BSA), MIRD single compartment, MIRD dual compartment (partition) and multi compartment. MIRDy90 allows users to interact and visualize the results of various parameter combinations. Variables, equations, and calculations are described in the MIRDy90 documentation and articulated in the MIRDy90 worksheet. The worksheet is distributed as a free tool built in Microsoft Excel to support expertise within the medical physics community and create a vetted standard for model and variable management. More information can be found in the software manual and academic publication.
FAQ
- MIRDy90 is freely available for download
- MIRDy90 is written in the Microsoft Excel platform
- Features of MIRDy90:
- Parallel implementation of BSA, MIRD single compartment, MIRD dual compartment, and MIRD multicompartment tumor model dosimetry;
- Simple-to-use single screen interface;
- Instant calculations for interactive user experience, provided with supporting graphics;
- Informative model summaries;
- Straightforward and simple comparison of activity calculation models;
- Easy-to-review (open-source) code and calculations.
- Future versions are expected
Reference Publications
Marquis, H, Kesner, AL, Carter LM, Ramos JCO. “MIRD Pamphlet No. 29: MIRDy90 – a 90Y research microsphere dosimetry tool”, Journal Nuclear Medicine, 2024
https://doi.org/10.2967/jnumed.123.266743
Documentation & Instruction Manuals
System Requirements
MIRDy90 is written and compiled within Microsoft Excel, and runs in the Excel environment. A licensed version of Microsoft Excel must be installed on the host computer. MIRDy90 will work with versions of Microsoft Excel (PC & Mac) 2013 and later.
Acknowledgements & Authors
The MIRDy90 software is a product of an ongoing collaboration between University of Florida, Gainesville, FL, USA and Memorial Sloan Kettering Cancer Center, New York, USA. This research was part of a funded project support by the NIH U01 EB028234 grant.
Major contributors to this development of this software include:
Harry Marquis (MSKCC)
Adam Kesner (MSKCC)
Lukas Carter (MSKCC), Juan C. Ocampo Ramos (MSKCC), Pat Zanzonico (MSKCC)
A special thanks to Dale Bailey and Kathy Willowson (RNSH, Sydney) for their support.