Assessment and improvement of treatment using imaging of physiological responses to radiation therapy
Edema in tissue of a patient undergoing a course of radiation therapy or treatment can be estimated based on one or more MRI measurements used to measure changes in fluid content of various tissues. A correlation between observed changes in edema and one or more delivered fractions of radiation can be used to drive one or more clinical actions. Methods, systems, articles of manufacture, and the like are described.
1. A system comprising:
at least one programmable processor; and
a non-transitory machine-readable medium storing instructions which, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising:
capturing baseline MRI scans and, during a radiation treatment, subsequent intra-fraction MRI scans, the baseline MRI scans and subsequent intra-fraction MRI scans including at least one of a T1-weighted or a T2-weighted scan; and
determining one or more changes in MRI signal due to inflammation of patient tissues based on changes in T1, in T2, or both, between the baseline MRI scans and subsequent intra-fraction MRI scans.
2. The system of claim 1 , wherein a decrease in T1, increase in T2, or both indicates an increase in the inflammation.
3. The system of claim 1 , the operations further comprising:
calculating an inflammation distribution based on the determined changes in the MRI signal.
4. The system of claim 3 , the operations further comprising:
generating an inflammation volume histogram based on the inflammation distribution.
5. The system of claim 3 , the operations further comprising:
correlating the inflammation distribution to known toxicities; and
generating a prediction of toxicity based on the correlation.
6. The system of claim 3 , the operations further comprising:
correlating the inflammation distribution to known patient outcomes; and
generating a prediction of a patient outcome based on the correlation.
7. The system of claim 1 , wherein the T2-weighted MRI scan includes utilizing a gradient echo sequence.
8. A non-transitory machine-readable medium storing instructions which, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising:
capturing baseline MRI scans and, during a radiation treatment, subsequent intra-fraction MRI scans, the baseline MRI scans and subsequent intra-fraction MRI scans including at least one of a T1-weighted or a T2-weighted scan; and
determining one or more changes in MRI signal due to inflammation of patient tissues based on changes in T1, in T2, or both, between the baseline MRI scans and subsequent intra-fraction MRI scans.
9. The machine-readable medium of claim 8 , wherein a decrease in T1, increase in T2, or both indicates an increase in the inflammation.
10. The machine-readable medium of claim 8 , the operations further comprising:
calculating an inflammation distribution based on the determined changes in the MRI signal.
11. The machine-readable medium of claim 10 , the operations further comprising:
generating an inflammation volume histogram based on the inflammation distribution.
12. The machine-readable medium of claim 10 , the operations further comprising:
correlating the inflammation distribution to known toxicities; and
generating a prediction of toxicity based on the correlation.
13. The machine-readable medium of claim 10 , the operations further comprising:
correlating the inflammation distribution to known patient outcomes; and
generating a prediction of a patient outcome based on the correlation.
14. The machine-readable medium of claim 8 , wherein the T2-weighted MRI scan includes utilizing a gradient echo sequence.