Varian Medical Systems, Inc.

Siemens Healthineers International Ag

Varian Medical Systems Particle Therapy Gmbh & Co Kg

Varian Medical Systems International Ag

Varian Medical Systems Particle Therapy Gmbh

Michael Matthew Folkerts

Jessica Perez

Eric Abel

Anthony Magliari

Christel Smith

Timo K Koponen

Reynald Vanderstraeten

Matti Ropo

Pierre Lansonneur

Perttu Niemela

Deepak Khuntia

Renate Parry

Rajiv Dua

Michiko Rossi

Alexander Katsis

Miriam Krieger

Michiko Alcanzare

Viljo Petaja

Sylvie Spiessens

Adam Scott Harrington

Simon Busold

Vidhya Krishnamurthi

Corey Zankowski

Lauri Halko

Isabel Huth

Sophia Pfister

C Clifton Ling

Tina Pfeiler

Bill Hansen

Daren Sawkey

Tatu Heikki Leinonen

Gael Boivin

Ricky Anupam Sharma

Marta Vilalta

Timo Koponen

A system includes at least one processor configured to execute computer executable instructions to cause the system to: generate or obtain a first radiation treatment plan for a treatment target in a patient, the first radiation treatment plan prescribing beam characteristics for a plurality of beamlets or spots in the treatment target, the beam characteristics including a monitor unit value associated with each of the plurality of beamlets or spots in at least a first field; and display, via a graphical user interface, at least one representation of a first distribution of monitor units for the first radiation treatment plan, the at least one representation of the first distribution of monitor units indicating, for each respective monitor unit value, a number of beamlets or spots in at least the first field having the respective monitor unit value.

Radiation therapy treatment planning and radiation therapy treatment including mu distribution visualization

One or more new metrics are introduced into the treatment planning process. More specifically, a correcting factor/metric referred to herein as the critical/repair ratio index is introduced, and/or a correcting factor/metric referred to herein as the spatial periodicity of critical isodose value is introduced. By using these metrics, the expected sparing from the spatial distribution of dose is better accounted for in treatment modalities including spatially fractionated radiation therapy (SFRT) in general and SFRT with ultra-high dose rates in particular. According to a treatment planning strategy, the target can be covered by a Spread-Out Bragg Peak, to optimize and/or homogenize the dose distribution at the target level but still benefit from the sparing effect of SFRT at the healthy tissue level. Delivery techniques include a dynamic focusing technique and a magnetic beam steering technique. Enhancing dose rate enables maximizing the peak-to-valley dose distribution with SFRT despite patient motion.

Enhanced dose rate/ultra-high dose rate radiation and spatially fractioned radiation therapy

A control circuit accesses information representing radiation dose deposition as a function of time for a particular patient as well as at least one biological parameter for that particular patient. The control circuit then determines a biological equivalent dose for the particular patient as a function of both the information representing radiation dose deposition as a function of time and the at least one biological parameter to provide a determined biological equivalent dose for the particular patient.

Biological equivalent dose informed flash radiation therapy

A control circuit optimizes an energy treatment plan (such as, but not limited to, a Flash energy treatment plan) to therapeutically treat a given patient's treatment volume with energy to provide an optimized energy treatment plan. The control circuit determines at least one delivered dose rate as regards applying the energy pursuant to the optimized energy treatment plan and then determines a quality assurance dose rate metric that corresponds to that at least one delivered dose rate. The control circuit then informs a user regarding information that corresponds to the quality assurance dose rate metric.

Energy treatment plan quality assurance dose rate metric apparatus and method

A graphical user interface is configured for display on a computer display. The graphical user interface includes a dose rate slider configured to enable a user to select a range of radiation dose rates of a radiotherapy plan, and a display image configured to present an image. The dose rate slider may be selectable among less than a value of the dose rate slider, and more than a value of the dose rate slider.

Graphical user interface control device for radiation therapy treatment planning

A computing system comprising a central processing unit (CPU), and memory coupled to the CPU and having stored therein instructions that, when executed by the computing system, cause the computing system to execute operations to generate a radiation treatment plan. The operations include accessing a minimum prescribed dose to be delivered into and across the target, determining a number of beams and directions of the beams, and determining a beam energy for each of the beams, wherein the number of beams, the directions of the beams, and the beam energy for each of the beams are determined such that the entire target receives the minimum prescribed dose. The operations further include prescribing a dose rate and optimizing dose rate constraints for FLASH therapy, and displaying a dose rate map of the FLASH therapy.

Flash therapy treatment planning and oncology information system having dose rate prescription and dose rate mapping

For planning radiation treatment, candidate radiation treatment plans are evaluated and optimized using an objective function that includes a combination of a first objective function and a second objective function. The first objective function is configured for determining a value of a dose metric. The second objective function is configured for determining a value of a term that is added to the value of the dose metric to account for spots or beam lets that have a weight that is greater than zero and less than a minimum threshold value. The value of the term is added to the value of the dose metric. In effect, spots or beam lets with a weight that is not zero and that is also less than a minimum threshold value are penalized during treatment planning.

Monitor unit optimization constraint in radiation treatment planning

A method of planning radiation treatment for a patient includes identifying a region of interest of the patient to be treated with radiation and determining a simulated treatment plan for the region of interest based on a statistical analysis between one or more metrics of the identified region of interest and a previously determined predictive dynamics database that includes information regarding the one or more metrics for corresponding regions of interest for a population of patients. The method further includes characterizing the simulated treatment plan with a FLASH Index that compares an ideal FLASH radiation treatment plan to the simulated treatment plan.

High dose rate radiotherapy treatment planning, system and method

Dose analysis radiotherapy systems and methods for determine delivered radiotherapy dose, dose rate, irradiation time and position information and planned radiotherapy dose, dose rate, irradiation time and position information. The dose analysis systems and methods further compare the as delivered dose, dose rate, irradiation time and position information to the planned dose, dose rate, irradiation time and position information to generate a graphical representation of one or more of the delivered dose, dose rate, irradiation time and position information versus planned dose, dose rate, irradiation time and position information.

Radiotherapy dose analysis methods and systems

A computing system comprising a central processing unit (CPU), and memory coupled to the CPU and having stored therein instructions that, when executed by the computing system, cause the computing system to execute operations to generate a radiation treatment plan. The operations include accessing a minimum prescribed dose to be delivered into and across the target, determining a number of beams and directions of the beams, and determining a beam energy for each of the beams, wherein the number of beams, the directions of the beams, and the beam energy for each of the beams are determined such that the entire target receives the minimum prescribed dose. A quantitative time-dependent model-based charged particle pencil beam scanning optimization is then implemented for FLASH therapy.

Model based PBS optimization for flash therapy treatment planning and oncology information system

A method used for planning radiation treatment accessing information that includes calculated doses and calculated dose rates for sub-volumes in a treatment target, and also accessing information that includes values of a measure of the sub-volumes as a function of the calculated doses and the calculated dose rates. A graphical user interface includes a rendering that is based on the calculated doses, the calculated doses rates, and the values of the measure.

Correlation of dose and dose rate information to volume for radiation treatment planning

Embodiments of the present invention provide methods and systems for proton therapy planning that maximize the dose rate for different target sizes for FLASH therapy treatment are disclosed herein according to embodiments of the present invention. According to embodiments, non-standard scanning patterns can be generated, for example, using a TPS optimizer, to maximize dose rate and the overall FLASH effect for specific volumes at risk. The novel scanning patterns can include scanning subfields of a field that are scanned independently or spiral-shaped patterns, for example. In general, spot locations and beam paths between spots are optimized to substantially achieve a desired dose rate in defined regions of the patient's body for FLASH therapy treatment.

System and method for scanning pattern optimization for flash therapy treatment planning

Information associated with a radiation treatment plan includes, for example, values of dose per voxel in a target volume, values of dose rate per voxel in the target volume, and values of parameters used when generating the values of dose per voxel and the values of dose rate per voxel. Renderings that include, for example, a rendering of an image of or including the target volume, and a rendering of selected values of the radiation treatment plan, are displayed. When a selection of a region of one of the renderings is received, a displayed characteristic of another one of the renderings is changed based on the selection.

Assessing treatment parameters for radiation treatment planning

A system for treating a patient during radiation therapy is disclosed. The system includes a shell, a plurality of material inserts disposed in the shell, where each material insert of the plurality of material inserts respectively shapes a distribution of a dose delivered to the patient by a respective beam of a plurality of beams emitted from a nozzle of a radiation treatment system, and a scaffold component disposed in the shell that holds the plurality material inserts in place relative to the patient such that each material insert lies on a path of at least one of the beams.

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Carrollton, TX, United States of America

Michael Matthew Folkerts