# Design Optimization and Tradeoff Analysis of an Actuated Continuum Probe for Pulmonary Nodule Localization and Resection

**Authors:** Madison D. McCullough, Marie Muller, Thomas M. Egan, Gregory D. Buckner

PMC · DOI: 10.3390/bioengineering11050417 · 2024-04-24

## TL;DR

This paper presents a new ultrasound probe design for better lung nodule removal during surgery by optimizing its maneuverability and imaging accuracy.

## Contribution

The novel contribution is the use of MOGAs and DOE to optimize an actuated continuum probe for pulmonary nodule resection.

## Key findings

- MOGAs and DOE were used to explore design tradeoffs for probe actuation.
- The optimized probe enables intraoperative imaging and precise nodule mapping.
- The design aims to improve margin delineation and patient outcomes in wedge resection.

## Abstract

Pulmonary nodules are abnormal tissue masses in the lungs, typically less than 3.0 cm in diameter, commonly detected during imaging of the chest and lungs. While most pulmonary nodules are not cancerous, surgical resection may be required if growth is detected between scans. This resection is typically performed without the benefit of intraoperative imaging, making it difficult for surgeons to confidently provide appropriate margins. To enhance the efficacy of wedge resection, researchers have developed a modified ultrasound imaging approach that utilizes both multiple scattering (MS) and single scattering (SS) to enhance the accuracy of margin delineation. Clinical deployment of this novel ultrasound technology requires a highly maneuverable ultrasound probe, ideally one that could be deployed and actuated with minimal invasiveness. This study details the design optimization and tradeoff analysis of an actuated continuum probe for pulmonary nodule localization and resection. This device, deployed through intercostal ports, would enable the intraoperative imaging and precise mapping of nodules for improved margin delineation and patient outcomes. To achieve this objective, multiple objective genetic algorithms (MOGAs) and a design of experiments (DOE) study are used to explore the design space and quantify key dimensional relationships and their effects on probe actuation.

## Full-text entities

- **Diseases:** Pulmonary Nodule (MESH:D055613), cancerous (MESH:D009369)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

18 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11118073/full.md

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Source: https://tomesphere.com/paper/PMC11118073