Literature DB >> 31545719

Modeling Uncertainty of Strain Ratio Measurements in Ultrasound Breast Strain Elastography: A Factorial Experiment.

David Rosen, Jingfeng Jiang.   

Abstract

Strain elastography (SE) is a technique in which images of localized tissue strains are used to detect the relative stiffness of tissues. The application of SE in differentiating malignant breast lesions from benign ones has been broadly investigated. The strain ratio (SR) between the background and the breast tumor has been used and its results have been mixed. Due to the complex nature of tissue elasticity and how it relates to the strain fields measured in SE, the exact reason is not known. In this study, we apply a novel design-of-experiments-based metamodeling approach to mechanical simulation of SE in the human breast. To our knowledge, such a study has not been reported in the ultrasound SE literature. More specifically, we first conduct a screening study to identify the biomechanical factors/simulation inputs that most strongly determine SR. We then apply a response surface experimental design to these factors to produce a metamodel of SR as a function of said factors. Results from the screening study suggest that the SR measurements are primarily influenced by three factors: the initial shear modulus of the lesion, the elastic nonlinearity of the lesion, and the precompression applied during acquisition. In order to investigate the implications of these results, stochastic inputs for these three factors associated with the malignant and benign cases were applied to the resulting response surface. The resulting optimal cutoffs, sensitivity, and specificity were generally in line with a majority (>60%) of 19 clinical trials in the literature.

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Year:  2019        PMID: 31545719      PMCID: PMC8011866          DOI: 10.1109/TUFFC.2019.2942821

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  61 in total

1.  [Diagnostic value of strain ratio measurement in the differentiation of malignant and benign breast lesions].

Authors:  A Farrokh; S Wojcinski; F Degenhardt
Journal:  Ultraschall Med       Date:  2010-04-27       Impact factor: 6.548

2.  Clinical value of relative quantification ultrasound elastography in characterizing breast tumors.

Authors:  Alfonso Fausto; Domenico Rubello; Alice Carboni; Paola Mastellari; Sotirios Chondrogiannis; Luca Volterrani
Journal:  Biomed Pharmacother       Date:  2015-09-20       Impact factor: 6.529

3.  Ultrasonic measurements of breast viscoelasticity.

Authors:  Mallika Sridhar; Michael F Insana
Journal:  Med Phys       Date:  2007-12       Impact factor: 4.071

Review 4.  WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 1: basic principles and terminology.

Authors:  Tsuyoshi Shiina; Kathryn R Nightingale; Mark L Palmeri; Timothy J Hall; Jeffrey C Bamber; Richard G Barr; Laurent Castera; Byung Ihn Choi; Yi-Hong Chou; David Cosgrove; Christoph F Dietrich; Hong Ding; Dominique Amy; Andre Farrokh; Giovanna Ferraioli; Carlo Filice; Mireen Friedrich-Rust; Kazutaka Nakashima; Fritz Schafer; Ioan Sporea; Shinichi Suzuki; Stephanie Wilson; Masatoshi Kudo
Journal:  Ultrasound Med Biol       Date:  2015-03-21       Impact factor: 2.998

Review 5.  Diagnostic Performance and Accuracy of the 3 Interpreting Methods of Breast Strain Elastography: A Systematic Review and Meta-analysis.

Authors:  Richard G Barr; Annalisa De Silvestri; Valeria Scotti; Federica Manzoni; Chiara Rebuffi; Cristina Capittini; Carmine Tinelli
Journal:  J Ultrasound Med       Date:  2018-11-09       Impact factor: 2.153

6.  Semi-quantitative and qualitative assessment of breast ultrasound elastography in differentiating between malignant and benign lesions.

Authors:  Sharifah Majedah Idrus Alhabshi; Kartini Rahmat; Nurazidawati Abdul Halim; Suraya Aziz; Sridharan Radhika; Gek Choo Gan; Anushya Vijayananthan; Caroline Judy Westerhout; Mohammad Nazri Mohd-Shah; Saladina Jaszle; Nani Harlina Mohd Latar; Rohaizak Muhammad
Journal:  Ultrasound Med Biol       Date:  2013-02-04       Impact factor: 2.998

7.  In vivo classification of breast masses using features derived from axial-strain and axial-shear images.

Authors:  Haiyan Xu; Tomy Varghese; Jingfeng Jiang; James A Zagzebski
Journal:  Ultrason Imaging       Date:  2012-10       Impact factor: 1.578

8.  Mechanical response of human female breast skin under uniaxial stretching.

Authors:  N Kumaraswamy; Hamed Khatam; Gregory P Reece; Michelle C Fingeret; Mia K Markey; Krishnaswamy Ravi-Chandar
Journal:  J Mech Behav Biomed Mater       Date:  2017-05-19

9.  A GPU-Accelerated 3-D Coupled Subsample Estimation Algorithm for Volumetric Breast Strain Elastography.

Authors:  Bo Peng; Yuqi Wang; Timothy J Hall; Jingfeng Jiang
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2017-01-31       Impact factor: 2.725

10.  Comparison and Combination of Strain and Shear Wave Elastography of Breast Masses for Differentiation of Benign and Malignant Lesions by Quantitative Assessment: Preliminary Study.

Authors:  Mirinae Seo; Hye Shin Ahn; Sung Hee Park; Jong Beum Lee; Byung Ihn Choi; Yu-Mee Sohn; So Youn Shin
Journal:  J Ultrasound Med       Date:  2017-07-08       Impact factor: 2.153

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  3 in total

1.  Characterizing Mechanical Properties of Soft Tissues Using Non-contact Displacement Measurements: How Should We Assess the Uncertainty?

Authors:  Ami Kling; Sean J Kirkpatrick; Jingfen Jiang
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-03-05

2.  Comparison of Biomechanical Performance of Five Different Treatment Approaches for Fixing Posterior Pelvic Ring Injury.

Authors:  Yongtao Lu; Yiqian He; Weiteng Li; Zhuoyue Yang; Ruifei Peng; Li Yu
Journal:  J Healthc Eng       Date:  2020-01-22       Impact factor: 2.682

3.  Added Value of a New Strain Elastography Technique in Conventional Ultrasound for the Diagnosis of Breast Masses: A Prospective Multicenter Study.

Authors:  Qi Wei; Yu-Jing Yan; Ge-Ge Wu; Xi-Rong Ye; Fan Jiang; Jie Liu; Gang Wang; Yi Wang; Yu Wang; Zhi-Ping Pan; Jin-Hua Hu; Juan Song; Christoph F Dietrich; Xin-Wu Cui
Journal:  Front Oncol       Date:  2021-11-09       Impact factor: 6.244

  3 in total

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