IP Library Granted Patent US 12,453,866
Granted Patent B2
US 12,453,866 · App. 17/853,454 · Granted Oct 28, 2025

Detecting anomalous dose volume histogram information

Inventors: Mikko Hakala (Rajamaki, FI); Esa Kuusela (Espoo, FI); Elena Czeizler (Helsinki, FI); Shahab Basiri (Siuntio, FI); Maria Cordero Marcos (Espoo, FI); Hannu Laaksonen (Espoo, FI); Alexander E. Maslowski (Peachtree City, GA)
Assignee: Siemens Healthineers International AG
A61N5/1031A61N5/1038A61N5/1048G09G3/00A61N2005/1074
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Quick Facts
Patent No.
US 12,453,866
App. No.
17/853,454
Filed
Jun 29, 2022
Granted
Oct 28, 2025
Kind
B2
Examiner
HO, ALLEN C
Art Unit
2884
USPC
378/65
Abstract

A control circuit accesses a radiation treatment plan for a given patient. The control circuit then generates dose volume histogram information as a function of the radiation treatment plan and automatically assesses the dose volume histogram information to identify any anomalous results. Generating that information can comprise, at least in part and for example, generating at least one dose volume histogram curve. The latter may comprise generating at least one dose volume histogram curve for each of a plurality of different patient structures (such as one or more treatment volumes and/or one or more organs-at-risk).

Claims (36)

1. A method comprising:

by a control circuit:

accessing a radiation treatment plan for a given patient;

generating dose volume histogram information as a function of the radiation treatment plan; and

automatically assessing the dose volume histogram information to identify an anomalous result.

2. The method of claim 1 wherein generating the dose volume histogram information comprises, at least in part, generating at least one dose volume histogram curve.

3. The method of claim 1 wherein generating the dose volume histogram information comprises, at least in part, generating at least one dose volume histogram curve for each of a plurality of different patient structures.

4. The method of claim 1 wherein automatically assessing the dose volume histogram information to identify an anomalous result comprises, at least in part, determining a distance between the dose volume histogram information and reference information.

5. The method of claim 4 further comprising:

generating the reference information as a function of dose volume histogram results that correspond to other radiation treatment plans.

6. The method of claim 5 wherein the other radiation treatment plans all correspond to plans to treat a common treatment area within a corresponding patient.

7. The method of claim 1 further comprising:

in response to identifying an anomalous result, presenting information regarding the anomalous result to a user.

8. The method of claim 7 wherein presenting the information regarding the anomalous result to a user comprises interactively presenting the information regarding the anomalous result to the user such that the user can modify at least one parameter of an optimization process of a radiation treatment plan.

9. The method of claim 1 further comprising:

in response to automatically assessing that the dose volume histogram information does not identify an anomalous result, using a corresponding optimized radiation treatment plan to apply therapeutic radiation to the given patient.

10. The method of claim 1 further comprising:

automatically generating the radiation treatment plan for the given patient.

11. An apparatus comprising:

a control circuit configured to:

access a radiation treatment plan for a given patient;

generate dose volume histogram information as a function of the radiation treatment plan; and

automatically assess the dose volume histogram information to identify an anomalous result.

12. The apparatus of claim 11 wherein the control circuit is configured to generate the dose volume histogram information by, at least in part, generating at least one dose volume histogram curve.

13. The apparatus of claim 11 wherein the control circuit is configured to generate the dose volume histogram information by, at least in part, generating at least one dose volume histogram curve for each of a plurality of different patient structures.

14. The apparatus of claim 11 wherein the control circuit is configured to automatically assess the dose volume histogram information to identify an anomalous result by, at least in part, determining a distance between the dose volume histogram information and reference information.

15. The apparatus of claim 14 wherein the control circuit is further configured to:

generate the reference information as a function of dose volume histogram results that correspond to other radiation treatment plans.

16. The apparatus of claim 15 wherein the other radiation treatment plans all correspond to plans to treat a common treatment area within a corresponding patient.

17. The apparatus of claim 11 wherein the control circuit is further configured to:

in response to identifying an anomalous result, present information regarding the anomalous result to a user.

18. The apparatus of claim 17 wherein the control circuit is configured to present the information regarding the anomalous result to a user by interactively presenting the information regarding the anomalous result to the user such that the user can modify at least one parameter of an optimization process of a radiation treatment plan.

19. The apparatus of claim 11 wherein the control circuit is further configured to:

in response to automatically assessing that the dose volume histogram information does not identify an anomalous result, use a corresponding optimized radiation treatment plan to apply therapeutic radiation to the given patient.

20. The apparatus of claim 11 wherein the control circuit is further configured to:

automatically generate the radiation treatment plan for the given patient.

Assignments (6)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 14, 2025
From: HAKALA, MIKKO; KUUSELA, ESA; CZEIZLER, ELENA; BASIRI, SHAHAB; CORDERO MARCOS, MARIA; LAAKSONEN, HANNU
To: VARIAN MEDICAL SYSTEMS FINLAND OY
Reel/Frame 069852/0214 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 14, 2025
From: MASLOWSKI, ALEXANDER E.
To: VARIAN MEDICAL SYSTEMS INC.
Reel/Frame 069852/0414 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 14, 2025
From: VARIAN MEDICAL SYSTEMS FINLAND OY
To: SIEMENS HEALTHINEERS INTERNATIONAL AG
Reel/Frame 069852/0480 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 14, 2025
From: VARIAN MEDICAL SYSTEMS, INC.
To: SIEMENS HEALTHINEERS INTERNATIONAL AG
Reel/Frame 069852/0483 →
CHANGE OF NAME Recorded Jun 7, 2023
From: VARIAN MEDICAL SYSTEMS INTERNATIONAL AG
To: SIEMENS HEALTHINEERS INTERNATIONAL AG
Reel/Frame 063909/0354 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 9, 2022
From: HAKALA, MIKKO; KUUSELA, ESA; CZEIZLER, ELENA; BASIIRI, SHAHAB; CORDERO-MARCOS, MARIA ISABEL; LAAKSONEN, HANNU; MASLOWSKI, ALEXANDER E.
To: VARIAN MEDICAL SYSTEMS INTERNATIONAL AG
Reel/Frame 060755/0200 →
Continuity (1)
Related Publication 20240001138A1 · Jan 4, 2024
References Cited (50)
US 6546073B1 · Lee · 2003 [cited by examiner]
US 7362848B2 · Saracen · 2008 [cited by examiner]
US 7609809B2 · Kapatoes · 2009 [cited by examiner]
US 7831289B2 · Riker · 2010 [cited by examiner]
US 9019307B1 · Grimm · 2015 [cited by examiner]
US 9409039B2 · Hartman · 2016 [cited by examiner]
US 9507886B2 · Fiege · 2016 [cited by examiner]
US 9731147B2 · Nord · 2017 [cited by examiner]
US 10046177B2 · Sjölund · 2018 [cited by examiner]
US 10080911B2 · Zankowski · 2018 [cited by examiner]
US 10252081B2 · Kauppinen · 2019 [cited by examiner]
US 10449388B2 · Yin · 2019 [cited by examiner]
US 10485988B2 · Kuusela · 2019 [cited by examiner]
US 10603511B2 · Bzdusek · 2020 [cited by examiner]
US 10625096B2 · Peltola · 2020 [cited by examiner]
US 10744342B2 · Nord · 2020 [cited by examiner]
US 10792514B2 · Ruokokoski · 2020 [cited by examiner]
US 10864382B2 · Bokrantz · 2020 [cited by examiner]
US 11235172B2 · Thornton · 2022 [cited by examiner]
US 11278737B2 · Peltola · 2022 [cited by examiner]
US 11426603B2 · Kobashi · 2022 [cited by examiner]
US 11517766B2 · Bzdusek · 2022 [cited by examiner]
US 11529531B2 · Basiri · 2022 [cited by examiner]
US 11559701B2 · Fan · 2023 [cited by examiner]
US 11602643B2 · Laaksonen · 2023 [cited by examiner]
US 11642550B2 · Peltola · 2023 [cited by examiner]
US 11648418B2 · Owens · 2023 [cited by examiner]
US 11654299B2 · Nord · 2023 [cited by examiner]
US 11679273B2 · Kauppinen · 2023 [cited by examiner]
US 11813479B2 · Czeizler · 2023 [cited by examiner]
US 11938341B2 · Hirvonen · 2024 [cited by examiner]
US 11964170B2 · Li · 2024 [cited by examiner]
US 11992703B2 · Lansonneur · 2024 [cited by examiner]
US 12023518B2 · Weese · 2024 [cited by examiner]
US 12059577B2 · Peltola · 2024 [cited by examiner]
US 12064647B2 · Rusanen · 2024 [cited by examiner]
US 12076584B2 · Pfeiler · 2024 [cited by examiner]
US 12138476B2 · Czeizler · 2024 [cited by examiner]
US 12138477B2 · Ropo · 2024 [cited by examiner]
US 12138478B2 · Peltola · 2024 [cited by examiner]
US 12145002B2 · Fleischlin · 2024 [cited by examiner]
US 12157013B2 · Peltola · 2024 [cited by examiner]
US 12168145B2 · Korhonen · 2024 [cited by examiner]
US 20130197878A1 · Fiege · 2013 [cited by applicant]
US 20180369611A1 · Owens · 2018 [cited by applicant]
US 20210069527A1 · Peltola · 2021 [cited by applicant]
US 20210379404A1 · Basiri · 2021 [cited by applicant]
US 20210393982A1 · Lansonneur · 2021 [cited by applicant]
CN 107441637B · 2019 [cited by applicant]
International Search Report and Written Opinion from International Patent Application No. PCT/EP2023/066695 dated Aug. 30, 2023; 13 pages. [cited by applicant]