Minimally Invasive Bowel Cancer Detection through Vibrating Microrobot‐Induced Elastography

Early detection of bowel cancer is crucial for substantially improving patient outcomes, highlighting the need for less invasive diagnostic methods. Herein, an innovative diagnostic application of vibrating microrobots combined with laser speckle contrast imaging (LSCI) to minimally invasively estimate the elasticity of potential tumors and surrounding healthy tissue is proposed. By positioning a vibrating microrobot on tissue surfaces, the resonant frequencies of the resulting vibrations are analyzed to create detailed elasticity maps. These maps reveal tumor margins and provide critical information about the tumor's properties spatially. This approach leverages the high spatio-temporal resolution and noncontact nature of LSCI to offer a minimally invasive elastography method for potential use in colonoscopy, providing an alternative to complex and time-consuming biopsy analysis and advancing future cancer diagnostics.

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Publication Details

Journal
Advanced Intelligent Systems
Published
2025-05-19
DOI
https://doi.org/10.1002/aisy.202400926
Citations
2
Primary Topic
Spaceflight effects on biology
Type
article
Field-Weighted Citation Impact
2.33

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article

Minimally Invasive Bowel Cancer Detection through Vibrating Microrobot‐Induced Elastography

Jiyuan Tian, Andrew Bickerdike, Yang Liu, Shyam Prassad
2 citations
Advanced Intelligent Systems
Spaceflight effects on biology
2.33
article

Minimally Invasive Bowel Cancer Detection through Vibrating Microrobot‐Induced Elastography

Jiyuan Tian, Andrew Bickerdike, Yang Liu, Shyam Prassad
article en
2 citations

Abstract

Early detection of bowel cancer is crucial for substantially improving patient outcomes, highlighting the need for less invasive diagnostic methods. Herein, an innovative diagnostic application of vibrating microrobots combined with laser speckle contrast imaging (LSCI) to minimally invasively estimate the elasticity of potential tumors and surrounding healthy tissue is proposed. By positioning a vibrating microrobot on tissue surfaces, the resonant frequencies of the resulting vibrations are analyzed to create detailed elasticity maps. These maps reveal tumor margins and provide critical information about the tumor's properties spatially. This approach leverages the high spatio-temporal resolution and noncontact nature of LSCI to offer a minimally invasive elastography method for potential use in colonoscopy, providing an alternative to complex and time-consuming biopsy analysis and advancing future cancer diagnostics.

Advanced Intelligent SystemsVol. 7(8)
University of Exeter (GB), Royal Devon & Exeter NHS Foundation Trust (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 12%
Spaceflight effects on biology
2.33
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