In vivo breast tumor detection using transient elastography

Bercoff, Jérémy; Chaffaı́, S.; Tanter, Mickaël; Sandrin, Laurent; Catheline, Stéfan; Fink, Mathias; Gennisson, Jean‐Luc; Meunier, Martine

doi:10.1016/s0301-5629(03)00978-5

Cited by 300 publications

(188 citation statements)

References 19 publications

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“…Since changes in tissue stiffness may be indicative of an abnormal pathological process, imaging parameters related to tissue elasticity may provide an effective biomarker for differentiating normal from cancerous tissues. In fact, several preliminary studies involving elasticity imaging of pathological tissues have supported this hypothesis, such as those dedicated to the detection of prostate [14][15][16][17][18][19][20] and breast [21][22][23][24][25][26][27] cancers using ultrasound-based approaches.…”

Section: Introductionmentioning

confidence: 89%

Tissue elasticity properties as biomarkers for prostate cancer

Hoyt

Castaneda

Zhang

et al. 2008

CBM

266

182

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In this paper we evaluate tissue elasticity as a longstanding but qualitative biomarker for prostate cancer and sonoelastography as an emerging imaging tool for providing qualitative and quantitative measurements of prostate tissue stiffness. A Kelvin-Voigt Fractional Derivative (KVFD) viscoelastic model was used to characterize mechanical stress relaxation data measured from human prostate tissue samples. Mechanical testing results revealed that the viscosity parameter for cancerous prostate tissue is greater than that derived from normal tissue by a factor of approximately 2.4. It was also determined that a significant difference exists between normal and cancerous prostate tissue stiffness (p < 0.01) yielding an average elastic contrast that increases from 2.1 at 0.1 Hz to 2.5 at 150 Hz. Qualitative sonoelastographic results show promise for cancer detection in prostate and may prove to be an effective adjunct imaging technique for biopsy guidance. Elasticity images obtained with quantitative sonoelastography agree with mechanical testing and histological results. Overall, results indicate tissue elasticity is a promising biomarker for prostate cancer.

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Section: Introductionmentioning

confidence: 89%

Tissue elasticity properties as biomarkers for prostate cancer

Hoyt

Castaneda

Zhang

et al. 2008

CBM

266

182

View full text Add to dashboard Cite

show abstract

“…These methods (summarized in a review by Greenleaf et al (2003)) interrogate tissue mechanical properties and produce images that are generally representative of underlying tissue stiffness. Elasticity imaging methods have shown clinical promise for in vivo detection of malignancies located in the breast (Cespedes et al 1993, Garra et al 1997, McKnight et al 2002, Bercoff et al 2003, Sharma et al 2004, Sinkus et al 2005, Itoh et al 2006, Insana et al 2004, prostate (Lorenz et al 1999, Cochlin et al 2002, Souchon et al 2003, Sommerfeld et al 2003, Konig et al 2005 and other organs (Chakraborty et al 2006, Lyshchik et al 2005. Further, direct mechanical measurements of resected liver samples have indicated that elastic contrast also exists for many tumors in the liver (Yeh et al 2002).…”

Section: Introductionmentioning

confidence: 99%

In vivo visualization of abdominal malignancies with acoustic radiation force elastography

et al. 2007

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The utility of acoustic radiation force impulse (ARFI) imaging for real-time visualization of abdominal malignancies was investigated. Nine patients presenting with suspicious masses in the liver (n = 7) or kidney (n = 2) underwent combined sonography/ARFI imaging. Images were acquired of a total of 12 tumors in the nine patients. In all cases, boundary definition in ARFI images was improved or equivalent to boundary definition in B-mode images. Displacement contrast in ARFI images was superior to echo contrast in B-mode images for each tumor. The mean contrast for suspected hepatocellular carcinomas (HCCs) in B-mode images was 2.9 dB (range: 1.5-4.2) versus 7.5 dB (range: 3.1-11.9) in ARFI images, with all HCCs appearing more compliant than regional cirrhotic liver parenchyma. The mean contrast for metastases in B-mode images was 3.1 dB (range: 1.2-5.2) versus 9.3 dB (range: 5.7-13.9) in ARFI images, with all masses appearing less compliant than regional non-cirrhotic liver parenchyma. ARFI image contrast (10.4 dB) was superior to Bmode contrast (0.9 dB) for a renal mass. To our knowledge, we present the first in vivo images of abdominal malignancies in humans acquired with the ARFI method or any other technique of imaging tissue elasticity.

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“…In recent years, there have been a considerable number of reports on the relationship between the biomechanical properties of cells and diseases, such as cancer (Guck et al 2005;Cross et al 2007;Suresh 2007aSuresh , 2007b, and these changes in the cellular biomechanical properties have recently emerged as an indication of disease (Plewes et al 2000;Cochlin et al 2002;McKnight et al 2002;Bercoff et al 2003;Salomon et al 2008). Therefore, the mechanical characterization of cells has the potential to be used as a quantitative diagnostic tool.…”

Section: Introductionmentioning

confidence: 99%

Comparative study on the differential mechanical properties of human liver cancer and normal cells

Kim

Hong

Kim

et al. 2013

Animal Cells and Systems

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Although cancerous cells and normal cells are known to have different elasticity values, there have been inconsistent reports in terms of the actual and relative values for these two cell types depending on the experimental conditions. This paper investigated the mechanical characterization of normal hepatocytes (THLE-2) and hepatocellular carcinoma cells (HepG2) using atomic force microscopy indentation experiments and the HertzÁSneddon model, and the results were confirmed by an independent de-adhesion assay. To improve the reliability of the data, we considered the effects of tip geometry and indentation depth on the measured elasticity of the cells. This study demonstrated that THLE-2 cells had a higher elastic modulus compared with the HepG2 cells and that this difference was more significant when a conical tip was used. The inhibitor study indicated that this difference in the mechanical properties of THLE-2 and HepG2 cells was mainly attributed to differential arrangements in the cytoskeletal networks of actin filaments. An independent de-adhesion assay also confirmed that THLE-2 cells had a higher elastic modulus compared with the HepG2 cells, which resulted in a shorter time constant for cellular contractility.

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In vivo breast tumor detection using transient elastography

Cited by 300 publications

References 19 publications

Tissue elasticity properties as biomarkers for prostate cancer

Tissue elasticity properties as biomarkers for prostate cancer

In vivo visualization of abdominal malignancies with acoustic radiation force elastography

Comparative study on the differential mechanical properties of human liver cancer and normal cells

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