Systems and methods for optimizing treatment planning
US-2017177812-A1 · Jun 22, 2017 · US
US10744342B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10744342-B2 |
| Application number | US-201715662799-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 28, 2017 |
| Priority date | Jul 28, 2017 |
| Publication date | Aug 18, 2020 |
| Grant date | Aug 18, 2020 |
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A control circuit accesses information regarding a plurality of pre-existing vetted radiation treatment plans for a variety of patients and uses that information to train at least one model (such as a dose volume histogram estimation model). The control circuit then uses that model to develop estimates for a radiation treatment plan for a particular patient. The control circuit can then use those estimates to develop a candidate radiation treatment plan.
Opening claim text (preview).
What is claimed is: 1. An apparatus comprising: a memory having stored therein information regarding a plurality of pre-existing vetted radiation treatment plans for a variety of patients; a control circuit operably coupled to the memory and configured to: use the information to train at least one model, wherein the model contains information about geometric limits of a training set used for model training; use the geometric limits to assess how well a particular patient fits the information used to train the model; use the model to develop estimates for a radiation treatment plan for the particular patient. 2. The apparatus of claim 1 wherein the information regarding the plurality of pre-existing vetted radiation treatment plans for a variety of patients constitutes an abridged version of each of the pre-existing vetted radiation treatment plans such that the information is anonymous and not intrinsically correlated to any of the patients. 3. The apparatus of claim 1 wherein at least some of the plurality of pre-existing vetted radiation treatment plans have original formats that are different from one another and wherein the information regarding the plurality of pre-existing vetted radiation treatment plans presents contents of the pre-existing vetted radiation treatment plans in a single consistent format. 4. The apparatus of claim 1 wherein the control circuit is configured to use the information to train the at least one model by, at least in part, identifying outlier data in the information and avoiding relying upon the outlier data when training the at least one model. 5. The apparatus of claim 1 wherein the control circuit is configured to use the information to train at least one model by, at least in part, using original prescription dose levels as correspond to at least some of the pre-existing vetted radiation treatment plans when training the at least one model. 6. The apparatus of claim 5 wherein the control circuit is configured to use the original prescription dose levels when training the at least one model by, at least in part, using the original prescription dose levels when normalizing dose volume histograms. 7. The apparatus of claim 1 wherein the control circuit is further configured to: select the model to use to develop the estimates for the radiation treatment plan for the particular patient. 8. The apparatus of claim 7 wherein the control circuit is configured to select the model to use to develop the estimates for the radiation treatment plan by, at least in part, using metadata as corresponds to the information used to train the model. 9. The apparatus of claim 1 wherein the control circuit is further configured to: present a user warning upon determining that the particular patient does not fit the information used to train the model within at least a predetermined range of suitability. 10. The apparatus of claim 1 wherein the control circuit is further configured to: determine at least one radiation treatment plan objective for the radiation treatment plan for the particular patient. 11. The apparatus of claim 10 wherein the control circuit is configured to determine the at least one radiation treatment plan objective, at least in part, by forming the at least one objective based upon dose volume histogram estimates formed using the model. 12. The apparatus of claim 11 wherein forming the at least one objective based upon dose volume histogram estimates formed using the model includes emphasizing at least one sub-region, but not all, of a corresponding dose volume histogram during an objective generation process. 13. The apparatus of claim 11 wherein the control circuit is further configured to: provide a user opportunity to modify the at least one radiation treatment plan objective for the radiation treatment plan for the particular patient. 14. The apparatus of claim 1 wherein the control circuit is further configured to: determine a validation status of the at least one model; inhibit availability of the at least one model unless the validation status of the at least one model has at least a predetermined value. 15. The apparatus of claim 14 wherein the control circuit is configured to inhibit availability of the at least one model unless the validation status of the at least one model has at least a predetermined value by, at least in part, preventing publication of the at least one model. 16. The apparatus of claim 1 wherein the control circuit is further configured to: use the estimates for a radiation treatment plan to develop a candidate radiation treatment plan; when displaying the candidate radiation treatment plan, also simultaneously displaying an overall target dose level as corresponds to the candidate radiation treatment plan.
using a specific method of dose optimization · CPC title
Treatment planning systems · CPC title
for simulation or modelling of medical disorders · CPC title
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