A new system for the acquisition of ultrasonic multicompression strain images of the human prostate in vivo

Lorenz, A.; Sommerfeld, H.-J.; Garcia-Schurmann, M.; Philippou, Stathis; Senge, Theodor; Ermert, H.

doi:10.1109/58.796120

Cited by 83 publications

(42 citation statements)

References 30 publications

(26 reference statements)

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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: 90%

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: 90%

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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“…It has found a place in the imaging of breast lesions [2], liver fibrosis [3], and is being investigated in many other clinical areas such as targeting of prostate cancer for biopsy and focal therapy [4].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Quantitative Elasticity Imaging of Deep Tissue Using Free-Hand Conventional Ultrasound

Baghani

Eskandari

Wang

et al. 2012

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

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Abstract.In this article an ultrasound elastography technology is reported which provides quantitative images of tissue elasticity from deep soft tissue. The technique is analogous to Magnetic Resonance Elastography in the use of external mechanical vibrations which can penetrate deep tissue. Multifrequency steady-state mechanical vibrations are applied to the tissue at the skin and tissue displacements are measured by a conventional ultrasound system. Absolute values of tissue elasticity are computed in real-time for each frequency and displayed to the physician. The quantitative elasticity images produced by the technology are validated with magnetic resonance elastography images as the gold standard on standard elasticity phantoms. Preliminary in-vivo data from healthy volunteers are presented which show the potential of the technology for clinical use. The system is currently being used in different clinical studies to image kidney fibrosis, liver fibrosis, and prostate cancer.

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A new system for the acquisition of ultrasonic multicompression strain images of the human prostate in vivo

Cited by 83 publications

References 30 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

Real-Time Quantitative Elasticity Imaging of Deep Tissue Using Free-Hand Conventional Ultrasound

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