IP Library Granted Patent US 9,504,529
Granted Patent B2
US 9,504,529 · App. 14/188,005 · Granted Nov 29, 2016

Treatment outcome prediction for lung volume reduction procedures

Inventors: Philippe Raffy (Edina, MN); Youbing Yin (Coralville, IA)
Assignee: Vida Diagnostics, Inc.
A61B19/50A61B5/7246A61B5/7275A61B6/5217A61B17/00234A61B34/10G06F19/30A61B2017/00809A61B2034/105
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Quick Facts
Patent No.
US 9,504,529
App. No.
14/188,005
Filed
Feb 24, 2014
Granted
Nov 29, 2016
Kind
B2
Art Unit
3768
USPC
600/407
Abstract

Systems and methods for displaying a predicted outcome of a lung volume reduction procedure for a patient including a user interface, a processor, and programing operable on the processor for displaying a predicted outcome of the bronchoscopic lung volume reduction procedure on the user interface, wherein displaying the predicted outcome of the lung volume reduction procedure includes receiving patient data comprising volumetric images of the patient, analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction, predicting an outcome for a treatment modality or treatment device using the one or more identified features, and displaying the predicted outcome on the user interface.

Claims (54)

1. A system for displaying a predicted outcome of a lung volume reduction procedure for a patient comprising:

a user interface;

a processor;

programing operable on the processor for displaying a predicted outcome of the bronchoscopic lung volume reduction procedure on the user interface;

wherein displaying the predicted outcome of the lung volume reduction procedure comprises:

receiving patient data comprising volumetric images of the patient;

analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction;

predicting an outcome for a treatment modality or treatment device using the one or more identified features; and

displaying the predicted outcome on the user interface.

2. The system of claim 1 further comprising receiving a selected treatment location within the airway tree from a user and predicting an outcome for a treatment modality or treatment device at the selected location using the one or more identified features.

3. The system of claim 1 wherein displaying the predicted outcome of the lung volume reduction procedure further comprises receiving a selected treatment modality from the user, and wherein predicting an outcome for a treatment modality comprises predicting an outcome for the treatment modality selected by the user.

4. The system of claim 1 wherein predicting an outcome for a treatment modality comprises predicting a plurality of outcomes for a plurality of treatment modalities, and wherein displaying the predicted outcome on the user interface comprises displaying the plurality of treatment outcomes for the plurality of treatment modalities on the user interface.

5. The system of claim 1 further comprising programming operable on the processor for analyzing the volumetric images to identify lobes, sublobes and an airway tree of the lungs and displaying a three dimensional model of the patient's lungs on the display.

6. The system of claim 1 wherein the predicted outcome comprises a numerical value representing a probability of success.

7. The system of claim 6 wherein success comprises a lung volume reduction greater than a threshold value.

8. The system of claim 1 wherein the predicted outcome comprises a numerical value representing a probability of pneumothorax.

9. The system of claim 1 wherein the predicted outcome comprises a first numerical value representing a probability of lung volume reduction greater than a threshold value and a second numerical value representing a probability of pneumothorax.

10. The system of claim 1 wherein the one or more features includes a feature corresponding to fissure integrity.

11. The system of claim 1 wherein analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction comprises measuring low attenuation clusters.

12. The system of claim 1 wherein analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction comprises measuring peripheral vessel volume.

13. A system for displaying an outcome of a lung volume reduction procedure for a patient comprising:

a user interface;

a processor;

programming operable on the processor for displaying a predicted outcome of the bronchoscopic lung volume reduction procedure on a user interface;

wherein displaying the predicted outcome of the lung volume reduction procedure comprises:

receiving patient data comprising volumetric images of the patient;

analyzing the volumetric images to identify lobes and airway tree of the lungs;

analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction;

displaying a three dimensional model of the patient's lungs;

receiving a selected treatment location within the airway tree from a user;

predicting an outcome for a treatment modality or treatment device at the selected location using the one or more identified features; and

displaying the predicted outcome on the user interface.

14. The system of claim 13 wherein displaying the predicted outcome of the lung volume reduction procedure further comprises receiving a selected treatment modality or treatment device from the user, and wherein predicting an outcome for a treatment modality comprises predicting an outcome for the treatment modality or treatment device selected by the user.

15. The system of claim 13 wherein predicting an outcome for a treatment modality or treatment device comprises predicting a plurality of outcomes for a plurality of treatment modalities or treatment devices, and wherein displaying the predicted outcome on the user interface comprises displaying the plurality of treatment outcomes for the plurality of treatment modalities on the user interface.

16. The system of claim 13 wherein the predicted outcome comprises a numerical value representing a probability.

17. The system of claim 16 wherein the predicted outcome comprises a probability of success.

18. The system of claim 13 wherein predicting an outcome for the selected treatment modality using one or more identified features comprises comparing the one or more features identified in the patient lungs to a database to predict an outcome of treatment at the selected location with the selected treatment modality.

19. The system of claim 18 wherein the database comprises a set of outcomes for lung volume reduction procedures for a group of individuals using the selected treatment modality and further comprises a set of volumetric images or one or more features identified in the volumetric images for the group of individuals, wherein the identified features in the volumetric images of the group of individuals are the same features as the identified features in the volumetric images of the patient.

20. The system of claim 13 wherein displaying the predicted outcome of the lung volume reduction procedure further comprises displaying a probability of a successful treatment outcome and a probability of an adverse event for a plurality of lung volume reduction treatment modalities and receiving a selection of a treatment modality from a user.

21. A method of planning a lung volume reduction procedure for a patient using a treatment planning and outcome system, the system comprising a processor and a user interface, the method comprising:

observing a three dimensional model of the patient's lungs on the user interface generated by the processor using patient data comprising volumetric images;

selecting a treatment modality;

selecting a treatment location;

observing a predicted outcome on the user interface, wherein the predicted outcome is generated by the using outcome predictors determined using the patient data.

22. The method of claim 21 wherein the method further comprises observing a predicted outcome for a plurality of treatment modalities generated by the processor and displayed on the user interface prior to selecting a treatment modality.

23. A system for selecting patients for lung cancer screening comprising:

a user interface;

a processor;

programing operable on the processor for displaying a lung cancer risk or a recommendation for lung cancer screening;

wherein displaying the lung cancer risk or the recommendation for lung cancer screening comprises:

receiving patient data comprising volumetric images of the patient;

analyzing the volumetric images to identify one or more features correlated to lung cancer;

predicting a likelihood of lung cancer using the one or more identified features; and

displaying the predicted likelihood of lung cancer on the user interface or displaying the recommendation for lung cancer screening, wherein the recommendation for lung cancer screening is determined by the system using the predicted likelihood of lung cancer.

Assignments (7)
SECURITY INTEREST Recorded Oct 15, 2025
From: VIDA DIAGNOSTICS, INC.
To: BROADOAK INCOME FUND, L.P.
Reel/Frame 072581/0795 →
RELEASE OF SECURITY INTEREST Recorded Aug 8, 2024
From: LIVE OAK BANKING COMPANY
To: VIDA DIAGNOSTICS, INC.
Reel/Frame 068224/0809 →
SECURITY INTEREST Recorded Jul 29, 2024
From: VIDA DIAGNOSTICS, INC.
To: WESTERN ALLIANCE BANK
Reel/Frame 068111/0257 →
SECURITY INTEREST Recorded Mar 18, 2024
From: VIDA DIAGNOSTICS, INC.
To: LIVE OAK BANKING COMPANY
Reel/Frame 066812/0125 →
RELEASE OF SECURITY INTEREST Recorded Dec 13, 2017
From: NEXT LEVEL VENTURE FUND I, LLLP
To: VIDA DIAGNOSTICS, INC.
Reel/Frame 044387/0290 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 21, 2014
From: RAFFY, PHILIPPE; YIN, YOUBING
To: VIDA DIAGNOSTICS, INC.
Reel/Frame 034229/0050 →
SECURITY INTEREST Recorded Nov 4, 2014
From: VIDA DIAGNOSTICS, INC.
To: NEXT LEVEL VENTURES FUND I, LLLP
Reel/Frame 034101/0866 →
Continuity (1)
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