Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Acoustic and mechanical characterisation of a 3D-printable transparent vessel-mimicking material for pre-clinical imaging: comparison with ex-vivo vessels and established clinically-relevant materials.

Ultrasonics·2026
Same author

MC1R determines healing outcomes in acute and chronic cutaneous wounds.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Computational homogenization of histological microstructures in human prostate tissue: Heterogeneity, anisotropy and tension-compression asymmetry.

International journal for numerical methods in biomedical engineering·2023
Same author

Mechanical mapping of the prostate in vivo using Dynamic Instrumented Palpation; towards an in vivo strategy for cancer assessment.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine·2023
Same author

Locating and sizing tumor nodules in human prostate using instrumented probing - computational framework and experimental validation.

Computer methods in biomechanics and biomedical engineering·2022
Same author

Identification of tumor nodule in soft tissue: An inverse finite-element framework based on mechanical characterization.

International journal for numerical methods in biomedical engineering·2020

Related Experiment Video

Updated: Mar 25, 2026

Application of Atomic Force Microscopy to Detect Early Osteoarthritis
09:22

Application of Atomic Force Microscopy to Detect Early Osteoarthritis

Published on: May 24, 2020

9.7K

Abnormality detection in soft tissues: multivariate outlier framework based on multi-mechanical characterization

Mahmood Abdallah Saleh1, Calum Anderson1, Ciara B Durcan1

  • 1Institute of Mechanical, Process and Energy Engineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom.

Medical Engineering & Physics
|March 23, 2026
PubMed
Summary
This summary is machine-generated.

Instrumented indentation effectively detects tumor nodules in soft tissues. This mechanical characterization method offers a promising approach for early cancer diagnosis and localization, improving clinical outcomes.

Keywords:
dynamicshyperelasticityindentationtissue mechanicstumor detectionviscoelasticity

More Related Videos

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing
07:07

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing

Published on: December 13, 2016

33.4K
Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
13:04

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

Published on: January 18, 2022

5.0K

Related Experiment Videos

Last Updated: Mar 25, 2026

Application of Atomic Force Microscopy to Detect Early Osteoarthritis
09:22

Application of Atomic Force Microscopy to Detect Early Osteoarthritis

Published on: May 24, 2020

9.7K
Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing
07:07

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing

Published on: December 13, 2016

33.4K
Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
13:04

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

Published on: January 18, 2022

5.0K

Area of Science:

  • Biomedical Engineering
  • Medical Physics
  • Surgical Oncology

Background:

  • Accurate detection of soft tissue abnormalities like tumor nodules is crucial for cancer diagnosis and treatment.
  • Current tactile feedback methods lack robust mechanical characterization, limiting clinical use.
  • Developing advanced techniques for mechanical property assessment is essential for improved diagnostic capabilities.

Purpose of the Study:

  • To investigate instrumented indentation for detecting tumor-mimicking nodules in soft tissue models.
  • To evaluate the efficacy of multi-mechanical characterization in identifying embedded abnormalities.
  • To establish a reliable statistical framework for outlier detection in tissue mechanics.

Main Methods:

  • Utilized instrumented indentation for multi-mechanical characterization (hyperelasticity, viscoelasticity, dynamic indentation) on porcine liver tissue models.
  • Applied a multivariate statistical outlier detection approach based on Mahalanobis distance.
  • Assessed various mechanical metrics for their effectiveness in identifying embedded nodules.

Main Results:

  • The developed outlier detection framework successfully identified stiff nodules within one to two standard deviations.
  • Multi-mechanical characterization provided comprehensive data on tissue response.
  • Mahalanobis distance proved effective in distinguishing nodule properties from surrounding tissue.

Conclusions:

  • Instrumented indentation combined with statistical outlier detection is a promising method for detecting soft tissue abnormalities.
  • This approach offers a clinically relevant tool for enhancing cancer diagnosis and intraoperative localization.
  • Further research can refine this technique for broader clinical applications in oncology.