# US 11,304,756 B2 · Treatment outcome prediction for lung volume reduction procedures

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- Number: US 11,304,756 B2
- Document ID: US11304756B2
- Status: Granted
- Kind: B2
- Application number: 16/290,858
- Filed: 2019-03-02
- Published: 2019-06-27
- Granted: 2022-04-19
- Earliest claimed: 2014-02-24
- Assignees: Vida Diagnostics, Inc.
- Applicants: Vida Diagnostics, Inc.
- Inventors: Philippe Raffy; Youbing Yin
- Web page: https://patentgrep.com/patent/US11304756B2

## CPC

- A61B 34/10: Computer-aided planning, simulation or modelling of surgical operations
- A61B 5/7246: {using correlation, e.g. template matching or determination of similarity}
- A61B 5/7275: {Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor}
- A61B 6/5217: {extracting a diagnostic or physiological parameter from medical diagnostic data}
- A61B 17/00234: {for minimally invasive surgery (A61B17/0218, A61B17/0469, A61B17/12013, A61B17/1285, A61B17/29, A61B17/320016 take precedence)}
- A61B 90/37: {Surgical systems with images on a monitor during operation}
- G06N 5/04: Inference or reasoning models
- G16H 20/40: relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
- G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS
- G16H 30/40: for processing medical images, e.g. editing
- G16H 40/63: for local operation
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- A61B 2017/00809: {Lung operations}
- A61B 2034/104: {Modelling the effect of the tool, e.g. the effect of an implanted prosthesis or for predicting the effect of ablation or burring}
- A61B 2034/105: {Modelling of the patient, e.g. for ligaments or bones}
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## 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

### Claim 1

A system for predicting an outcome of a lung procedure for a patient comprising:
a processor;
programing operable on the processor for predicting the outcome of the lung procedure;
wherein predicting the outcome of the lung 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, wherein the one or more identified features comprises at least one measurement related to lung parenchyma, airways in the lung, pulmonary vessels, and/or one or more lobar fissures;
predicting an outcome for a treatment modality or treatment device using the one or more identified features; and
generating data representing text and/or imagery of the predicted outcome.

### Claim 2 (depends on 1)

The system of claim 1, wherein receiving patient data further comprises at least one measurement not directly related to the volumetric images.

### Claim 3 (depends on 2)

The system of claim 2, wherein the at least one measurement not directly related to the volumetric images comprises at least one personal characteristics of the patient from a list consisting of: age, gender, race, body mass index, height, and lung volume.

### Claim 4 (depends on 1)

The system of claim 1, wherein predicting the outcome for the treatment modality or treatment device includes comparing the one or more identified features to a database to predict an outcome of treatment at the selected location with the selected treatment modality.

### Claim 5 (depends on 1)

The system of claim 1, further comprising a user interface.

### Claim 6 (depends on 5)

The system of claim 5, wherein predicting the outcome of the lung procedure further comprises displaying the predicted outcome on the user interface.

### Claim 7 (depends on 1)

The system of claim 1, wherein the lung procedure comprises a lung volume reduction procedure.

### Claim 8 (depends on 6)

The system of claim 6 wherein displaying the predicted outcome of the lung procedure further comprises receiving a selected treatment modality from a user, and wherein predicting an outcome for a treatment modality comprises predicting an outcome for the treatment modality selected by the user.

### Claim 9 (depends on 6)

The system of claim 6 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.

### Claim 10

A system for predicting an outcome of a lung procedure for a patient comprising:
a processor;
programing operable on the processor for predicting the outcome of the lung procedure;
wherein predicting the outcome of the lung 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, wherein the one or more identified features comprises at least one measurement related to lung parenchyma, airways in the lung, pulmonary vessels, and/or one or more lobar fissures;
receiving a selected treatment location within the airway tree;
predicting an outcome for a treatment modality or treatment device at the selected location using the one or more identified features; and
generating data representing text and/or imagery of the predicted outcome.

### Claim 11 (depends on 10)

The system of claim 10 wherein displaying the predicted outcome of the lung procedure further comprises receiving a selected treatment modality or treatment device from a 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.

### Claim 12 (depends on 10)

The system of claim 10 wherein the predicted outcome comprises a numerical value representing a probability.

### Claim 13 (depends on 10)

The system of claim 10 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.

### Claim 14 (depends on 13)

The system of claim 13 wherein the database comprises a set of outcomes for lung 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.

### Claim 15 (depends on 10)

The system of claim 10, wherein receiving patient data further comprises at least one measurement not directly related to the volumetric images.

### Claim 16 (depends on 15)

The system of claim 15, wherein the at least one measurement not directly related to the volumetric images comprises at least one personal characteristics of the patient from a list consisting of: age, gender, race, body mass index, height, and lung volume.

### Claim 17 (depends on 10)

The system of claim 10, further comprising a user interface.

### Claim 18 (depends on 17)

The system of claim 17, wherein receiving the selected treatment location within the airway tree comprises receiving the selected treatment location from a user via the user interface.

### Claim 19 (depends on 17)

The system of claim 17, wherein predicting the outcome of the lung procedure further comprises displaying the predicted outcome on the user interface.

### Claim 20 (depends on 10)

The system of claim 10, wherein the lung procedure comprises a lung volume reduction procedure.