Reflexion Medical, Inc.

Michael Kirk Owens

Peter D Olcott

Rostem Bassalow

Yevgen Voronenko

Jayakrishnan Janardhanan

David Q Larkin

Debashish Pal

Samuel Mazin

George Andrew Zdasiuk

David Quentin Larkin

Peter Demetri Olcott

Described herein are methods for monitoring the radiation delivery during a radiotherapy delivery session and providing a graphical representation of radiation delivery to an operator (e.g., a clinician, a medical physicist, a radiation therapy technologist). The graphics are updated in real-time, as radiation data is collected by the radiotherapy system, and in some variations, can be updated every 15 minutes or less. A variety of graphical representations ('graphics') can be used to indicate the status of radiation delivery relative to the planned radiation delivery. Methods optionally include calculating a range of acceptable metric values, generating graphics that represent the range of acceptable metrics values, and generating a graphic that depicts the real-time values of those metrics overlaid with the range of acceptable metrics values.

Graphical representation of radiation therapy

Disclosed herein are methods for radiotherapy treatment plan optimization for irradiating one or more target regions using both an internal therapeutic radiation source (ITRS) and an external therapeutic radiation source (ETRS). One variation of a method comprises iterating through ITRS radiation dose values and ETRS radiation dose values to attain a cumulative dose that meets prescribed dose requirements. In some variations, an ITRS is an injectable compound that has a targeting backbone and a radionuclide, and images acquired using an imaging compound that has the same targeting backbone as the injectable compound can be used to calculate the radiation dose deliverable using the injectable ITRS, and also to calculate firing filters for delivering radiation using a biologically-guided radiation therapy (BGRT) system. Image data acquired from a previous treatment session may be used to adapt the dose provided by an ITRS and/or ETRS for a future treatment session.

Joint optimization of radionuclide and external beam radiotherapy

Described herein are methods for beam station delivery of radiation treatment, where the patient platform is moved to a series of discrete patient platform locations or beam stations that are determined during treatment planning, stopped at each of these locations while the radiation source rotates about the patient delivering radiation to the target regions that intersect the radiation beam path, and then moving to the next location after the prescribed dose of radiation (e.g., in accordance with a calculated fluence map) for that location has been delivered to the patient.

Beam station treatment planning and radiation delivery methods

Disclosed herein are systems and methods for adapting and/or updating radiotherapy treatment plans based on biological and/or physiological data and/or anatomical data extracted or calculated from imaging data acquired in real-time (e.g., during a treatment session). Functional imaging data acquired at the time of radiation treatment is used to modify a treatment plan and/or dose delivery instructions to provide a prescribed dose distribution to patient target regions. Also disclosed herein are methods for evaluating treatment plans based on imaging data acquired in real-time.

Systems and methods for biological adaptive radiotherapy

Disclosed herein are methods for patient setup and patient target region localization for the irradiation of multiple patient target regions in a single treatment session. Virtual localization is a method that can be used to register a patient target region without requiring that the patient is physically moved using the patient platform. Instead, the planned fluence is updated to reflect the current location of the patient target region by selecting a localization reference in the localization image, calculating a localization function based on the localization reference point, and calculating the delivery fluence by convolving the localization function with a shift-invariant firing filter. Mosaic multi-target localization partitions a planned fluence map for multiple patient target regions into sub-regions that can be individually localized. De-coupled multi-target localization involves generating a separate planned fluence map for each target but constraining a cumulative fluence map to ensure dosimetric goals are met.

Multi-target treatment planning and delivery and virtual localization for radiation therapy

Disclosed herein are methods for patient setup and registration for the irradiation of target tissue regions. A method for positioning a patient for radiation therapy may include acquiring an image of a first patient target region and a second patient target region. A first set of patient position-shift vectors may be calculated based on the acquired image and a treatment planning image of the first patient target region. A second set of patient position-shift vectors may be calculated based on the acquired image, a treatment planning image of the second patient target region, and the first set of patient position-shift vectors. The patient may be positioned according to the first set of patient position-shift vectors in a first location. The patient may be moved to a second location and positioned according to the second set of patient position-shift vectors.

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San Francisco, CA, United States of America

Michael Kirk Owens