Evidence map›Paper›PMID 38593022›Full record

ArticleIEEE transactions on medical imaging2024

Non-Invasive Imaging of Mechanical Properties of Cancers In Vivo Based on Transformations of the Eshelby's Tensor Using Compression Elastography.

Sharmin Majumder, Md Tauhidul Islam, Francesca Taraballi, Raffaella Righetti

Abstract read
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Article in IEEE transactions on medical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sharmin Majumder
Md Tauhidul Islam
Francesca Taraballi
Raffaella Righetti

Funding

Biophysical roles of pre-metastatic niche evolution on transport of circulating tumor cellsU01CA244107 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI KOJIC, MILOS, LEONARD, FRANSISCA · 2020 to 2024
$2.8M
NCI NIH HHS U01 CA244107
6 · The paper itself

Abstract

Knowledge of the mechanical properties is of great clinical significance for diagnosis, prognosis and treatment of cancers. Recently, a new method based on Eshelby's theory to simultaneously assess Young's modulus (YM) and Poisson's ratio (PR) in tissues has been proposed. A significant limitation of this method is that accuracy of the reconstructed YM and PR is affected by the orientation/alignment of the tumor with the applied stress. In this paper, we propose a new method to reconstruct YM and PR in cancers that is invariant to the 3D orientation of the tumor with respect to the axis of applied stress. The novelty of the proposed method resides on the use of a tensor transformation to improve the robustness of Eshelby's theory and reconstruct YM and PR of tumors with high accuracy and in realistic experimental conditions. The method is validated using finite element simulations and controlled experiments using phantoms with known mechanical properties. The in vivo feasibility of the developed method is demonstrated in an orthotopic mouse model of breast cancer. Our results show that the proposed technique can estimate the YM and PR with overall accuracy of (97.06 ± 2.42) % under all tested tumor orientations. Animal experimental data demonstrate the potential of the proposed methodology in vivo. The proposed method can significantly expand the range of applicability of the Eshelby's theory to tumors and provide new means to accurately image and quantify mechanical parameters of cancers in clinical conditions.

Indexed as

Elasticity Imaging TechniquesPhantoms, ImagingAlgorithmsAnimalsBreast NeoplasmsCell Line, TumorComputer SimulationElastic ModulusFemaleFinite Element AnalysisHumansImage Processing, Computer-AssistedMice

Identifiers

PMID38593022
PMCPMC11389308

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.