Controller for Biopsy Type Selection Using Anatomical Feasibility

Solution Overview

Problem

Current lung cancer screening and biopsy procedures face challenges in determining the optimal type of biopsy to perform, balancing diagnostic yield with complication risks, and lack decision support tools for selecting between endobronchial, transthoracic, and surgical biopsies.

Innovation Solution

A controller and system that uses pre-interventional imagery to identify anatomical characteristics and compare them with tool characteristics, generating a feasibility report to select the optimal interventional procedure type, integrating AI for maximizing diagnostic yield while minimizing complications and costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If endobronchial biopsy is performed first to minimize complications, then complication rates are reduced, but diagnostic yield decreases to as low as 30% for peripherally located lung cancer nodules

Engineering Contradiction:

Improvecomplication ratesVSAvoiddiagnostic yield

Core Design Contradiction:

Object-affected harmful factorsVSMeasurement precision

Solution Approach 1:

The system performs preliminary analysis of pre-interventional imagery to identify anatomical characteristics and predict feasibility of different biopsy approaches before the actual procedure. This allows selection of the optimal biopsy type (endobronchial, transthoracic, or surgical) based on predicted diagnostic yield and complication risks, rather than following a fixed sequential approach.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The controller acts as an intermediary decision support tool that processes imaging data and compares anatomical characteristics with tool characteristics to generate feasibility reports. This intermediary system bridges the gap between clinical goals (diagnostic yield) and safety concerns (complication rates) by providing data-driven recommendations for procedure selection.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If transthoracic biopsy or surgical biopsy is performed to achieve higher diagnostic yield, then diagnostic quality improves, but complication rates increase

Engineering Contradiction:

Improvediagnostic yieldVSAvoidcomplication rates

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary analysis of pre-interventional imagery to identify anatomical characteristics and predict feasibility of different biopsy approaches before the actual procedure. This allows selection of the optimal biopsy type (endobronchial, transthoracic, or surgical) based on predicted diagnostic yield and complication risks, rather than following a fixed sequential approach.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system changes the decision parameter from following a fixed procedural sequence to selecting based on predicted feasibility metrics. By calculating feasibility grades based on anatomical characteristics and tool characteristics, the system dynamically determines the optimal biopsy approach for each specific patient anatomy and nodule location.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If multiple biopsy attempts are performed to obtain diagnostic quality tissue sample, then diagnostic yield improves, but loss of time increases and costs increase

Engineering Contradiction:

Improvediagnostic qualityVSAvoidtime for multiple procedures

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of pre-interventional imagery to identify anatomical characteristics and predict feasibility of different biopsy approaches before the actual procedure. This allows selection of the optimal biopsy type (endobronchial, transthoracic, or surgical) based on predicted diagnostic yield and complication risks, rather than following a fixed sequential approach.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system provides feedback in the form of feasibility reports that guide the selection of the most appropriate biopsy type for each specific case. This feedback mechanism enables clinicians to make informed decisions about the optimal procedure type based on predicted outcomes, reducing the need for multiple sequential biopsy attempts.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20230023521A1Interventional procedure optimization

Publication Date: 2023.01.26 KONINKLIJKE PHILIPS NV

AI summary

A controller (122, 910/920) for interventional procedure optimization includes a processor (12210, 910) and a memory (12220, 920) that stores instructions. When executed by the processor, the instructions cause the controller (12210, 910) to implement a process that includes identifying (S210) anatomical characteristics from pre-interventional imagery of anatomy for each of multiple candidate types of an interventional procedure for the anatomy and comparing (S220) the anatomical characteristics with tool characteristics of candidate tools to use in each of the candidate types. The process also includes generating (S240) a feasibility report for each of the candidate types based on the identifying and the comparing. Each feasibility report includes a feasibility grade for each of the candidate types. The process also includes selecting (S260), based on the feasibility reports, an optimal interventional procedure type among the candidate types. An interventional procedure is performed on the anatomy using the optimal interventional procedure type based on the selecting (S260).