Elastography: Ultrasonic imaging of tissue strain and elastic modulus in vivo

Ophir, Jonathan; Céspedes, I.; Garra, Brian S.; Ponnekanti, H.; Huang, Yijun; Maklad, Nabil F.

doi:10.1016/0929-8266(95)00134-4

Cited by 266 publications

(147 citation statements)

References 55 publications

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“…This compression during EUS examination is naturally obtained by arterial pulsations and respiratory movements. Detailed reviews on the technical aspects of elastography have been previously published [15,20,21] . The sample area was adjusted to the region of interest and the suitability of the elastographic signal was indicated by a numeric scale within the image.…”

Section: Patients Procedures and Examination Techniquementioning

confidence: 99%

Endoscopic ultrasound elastography for evaluation of lymph nodes and pancreatic masses: A multicenter study

Giovannini¹,

Botelberge²,

Bories³

et al. 2009

WJG

247

183

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AIM:To evaluate the ability of endoscopic ultrasound (EUS) elastography to distinguish benign from malignant pancreatic masses and lymph nodes. METHODS:A multicenter study was conducted and included 222 patients who underwent EUS examination with assessment of a pancreatic mass (n = 121) or lymph node (n = 101). The classification as benign or malignant, based on the real time elastography pattern, was compared with the classification based on the B-mode EUS images and with the final diagnosis obtained by EUS-guided fine needle aspiration (EUS-FNA) and/or by surgical pathology. An interobserver study was performed. RESULTS:The sensitivity and specificity of EUS elastography to differentiate benign from malignant pancreatic lesions are 92.3% and 80.0%, respectively, compared to 92.3% and 68.9%, respectively, for the conventional B-mode images. The sensitivity and specificity of EUS elastography to differentiate benign from malignant lymph nodes was 91.8% and 82.5%, respectively, compared to 78.6% and 50.0%, respectively, for the B-mode images. The kappa coefficient was 0.785 for the pancreatic masses and 0.657 for the lymph nodes.CONCLUSION: EUS elastography is superior compared to conventional B-mode imaging and appears to be able to distinguish benign from malignant pancreatic masses and lymph nodes with a high sensitivity, specificity and accuracy. It might be reserved as a second line examination to help characterise pancreatic masses after negative EUS-FNA and might increase the yield of EUS-FNA for lymph nodes.

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Section: Patients Procedures and Examination Techniquementioning

confidence: 99%

Endoscopic ultrasound elastography for evaluation of lymph nodes and pancreatic masses: A multicenter study

Giovannini¹,

Botelberge²,

Bories³

et al. 2009

WJG

247

183

View full text Add to dashboard Cite

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“…Despite extensive characterization of the elastic properties of structural materials, mechanical properties of many biological materials remain unknown or uncertain, due in part to the technical difficulty of measuring visco-elastic tissues 24,[36][37][38] (particularly in-vivo), and intersubject variation for a given tissue type. The stiffness of healthy and cancerous breast tissues have been investigated, 1,2,[39][40][41][42][43] stiffness contrasts in the range of 5:1 have been reported for carcinomas.…”

Section: Exposure 70mentioning

confidence: 99%

“…Mechanical properties of the breast can be estimated in vivo with Ultrasound Elastography (USE) [21][22][23][24][25] and Magnetic Resonance Elastography (MRE). 26,27 The associated cost for MRE is relatively high, rendering it less suitable for large scale screening programs.…”

mentioning

confidence: 99%

Silicone breast phantoms for elastographic imaging evaluation

et al. 2013

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New Zealand 15(Received 2 Purpose: Breast cancer is a major public health issue for women, and early detection significantly increases survival rate. Currently, there is increased research interest in elastographic soft-tissue 20 imaging techniques based on the correlation between pathology and mechanical stiffness.Anthropomorphic breast phantoms are critical for in-vitro validation of emerging elastographic technologies. This research develops heterogeneous breast phantoms for use in testing elastographic imaging modalities.Methods: Mechanical property estimation of eight different elastomers is performed to determine 25 storage moduli (E') and damping ratios (ζ) using a dynamic mechanical analyzer (DMA). Dynamic compression testing was carried out isothermally at room temperature over a range of 4-50 Hz.Silicone compositions with physiologically realistic storage modulus were chosen for mimicking skin adipose, cancerous tumors and pectoral muscles and 13 anthropomorphic breast phantoms were constructed for in vitro trials of Digital Image Elasto Tomography (DIET) breast cancer screening 30 system. A simpler fabrication was used to assess the possibility of multiple tumor detection using Magnetic Resonance Elastography (MRE).Results: Silicone materials with ranges of storage moduli (E') from 2 to 570 kPa and damping ratios (ζ) from 0.03 to 0.56 were identified. The resulting phantoms were tested in two different elastographic breast cancer diagnostic modalities. A significant contrast was successfully identified 35 between healthy tissues and cancerous tumors both in Magnetic Resonance Elastography (MRE) and Digital Image Elasto-tomography (DIET). Conclusions:The phantoms presented promise aid to researchers in elastographic imaging modalities for breast cancer detection and provide a foundation for silicone based phantom materials for mimicking soft tissues of other human organs. 40

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“…Ultrasound elastography (UE) detects breast tumors by measuring the difference in the distribution of the echo times with and without applying pressure which is further analyzed with inversion simulations. [49][50][51][52] Breast mechanical imager (BMI or "SureTouch") detects breast tumors with great promise by measuring the compressive stress distribution with a pressure sensor array followed by the inversion simulation anal- ysis. [38][39][40] In recent years, more studies were also aiming to detect breast tumors using mechanical means.…”

Section: Introductionmentioning

confidence: 99%

Development of array piezoelectric fingers towards in vivo breast tumor detection

Chung

Brooks

et al. 2016

Review of Scientific Instruments

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We have investigated the development of a handheld 4 × 1 piezoelectric finger (PEF) array breast tumor detector system towards in vivo patient testing, particularly, on how the duration of the DC applied voltage, the depression depth of the handheld unit, and breast density affect the PEF detection sensitivity on 40 patients. The tests were blinded and carried out in four phases: with DC voltage durations 5, 3, 2, to 0.8 s corresponding to scanning a quadrant, a half, a whole breast, and both breasts within 30 min, respectively. The results showed that PEF detection sensitivity was unaffected by shortening the applied voltage duration from 5 to 0.8 s nor was it affected by increasing the depression depth from 2 to 6 mm. Over the 40 patients, PEF detected 46 of the 48 lesions (46/48)-with the smallest lesion detected being 5 mm in size. Of 28 patients (some have more than one lesion) with mammography records, PEF detected 31/33 of all lesions (94%) and 14/15 of malignant lesions (93%), while mammography detected 30/33 of all lesions (91%) and 12/15 of malignant lesions (80%), indicating that PEF could detect malignant lesions not detectable by mammography without significantly increasing false positives. PEF's detection sensitivity is also shown to be independent of breast density, suggesting that PEF could be a potential tool for detecting breast cancer in young women and women with dense breasts. Published by AIP Publishing. [http://dx

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Elastography: Ultrasonic imaging of tissue strain and elastic modulus in vivo

Cited by 266 publications

References 55 publications

Endoscopic ultrasound elastography for evaluation of lymph nodes and pancreatic masses: A multicenter study

Endoscopic ultrasound elastography for evaluation of lymph nodes and pancreatic masses: A multicenter study

Silicone breast phantoms for elastographic imaging evaluation

Development of array piezoelectric fingers towards in vivo breast tumor detection

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