Lateral exploration strategy for differentiating the stiffness ratio of an inclusion in soft tissue

Yen, Ping-Lang; Chen, Dar‐Ren; Yeh, Kun‐Tu; Chu, Pei-Yi

doi:10.1016/j.medengphy.2008.04.002

Cited by 12 publications

(10 citation statements)

References 22 publications

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“…The radiologists found diffuse enlargement, peripancreatic halo and diffuse hypoenhancement along with the absence of typical findings seen in pancreatic cancer on CECT such as pancreatic ductal dilatation, focal mass and pancreatic atrophy most helpful in making the diagnosis of AIP. However, when presenting as a mass like lesion, 30, 31 AIP can be difficult to differentiate from locally advanced pancreatic cancer. In our study, the presence of a focal mass was the leading reason for misdiagnosing AIP as PA.…”

Section: Discussionmentioning

confidence: 99%

Differentiating Autoimmune Pancreatitis From Pancreatic Adenocarcinoma Using Dual-Phase Computed Tomography

Zaheer¹,

Singh²,

Akshintala³

et al. 2014

Journal of Computer Assisted Tomography

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Section: Discussionmentioning

confidence: 99%

Differentiating Autoimmune Pancreatitis From Pancreatic Adenocarcinoma Using Dual-Phase Computed Tomography

Zaheer¹,

Singh²,

Akshintala³

et al. 2014

Journal of Computer Assisted Tomography

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“…The elastic modulus as a function of position of a model tissue was measured using the piezoelectric cantilevers in the indentation mode 15 where the cantilever was parallel to the model tissue surface as shown in the photograph in Fig. 2͑a͒.…”

Section: B Elastic Modulus Measurementmentioning

confidence: 99%

“…This difference may be due to the different interfacial properties between breast cancers and benign tumors. Currently, there are only a few studies examining the effect of stiffness of the tumor on the lateral movement of the probe 15 which can detect the hardness of the model tumor embedded in a matrix, resembling the healthy tissue. As far as the authors know there has been no study that examines the effect of tumor interfacial properties on their shear properties.…”

Section: Introductionmentioning

confidence: 99%

Probing model tumor interfacial properties using piezoelectric cantilevers

Yegingil

Shih

2010

Review of Scientific Instruments

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Invasive malignant breast cancers are typically branchy and benign breast tumors are typically smooth. It is of interest to characterize tumor branchiness ͑roughness͒ to differentiate invasive malignant breast cancer from noninvasive ones. In this study, we examined the shear modulus ͑G͒ to elastic modulus ͑E͒ ratio, G / E, as a quantity to describe model tumor interfacial roughness using a piezoelectric cantilever capable of measuring both tissue elastic modulus and tissue shear modulus. The piezoelectric cantilever used had two lead zirconate titanate layers to facilitate all-electrical elastic ͑shear͒ modulus measurements using one single device. We constructed model tissues with tumors by embedding one-dimensional ͑1D͒ corrugated inclusions and three-dimensional ͑3D͒ spiky-ball inclusions made of modeling clay in gelatin. We showed that for smooth inclusions, G / E was 0.3 regardless of the shear direction. In contrast, for a 1D corrugated rough inclusion G / E was 0.3 only when the shear was parallel to corrugation and G / E increased with an increasing angle between the shear direction and the corrugation. When the shear was perpendicular to corrugation, G / E became Ͼ0.7. For 3D isotropic spiky-ball inclusions we showed that the G / E depended on the degree of the roughness. Using the ratio s / r of the spike length ͑s͒ to the overall inclusion radius ͑r͒ as a roughness parameter, we showed that for inclusions with s / r larger than or equal to 0.28, the G / E ratio over the inclusions was larger than 0.7 whereas for inclusions with s / r less than 0.28, the G / E decreased with decreasing s / r to around 0.3 at s / r = 0. In addition, we showed that the depth limit of the G / E measurement is twice the width of the probe area of the piezoelectric cantilever.

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“…[33][34][35][36][37] Increasingly researchers have sought to detect breast tumors by means of tissue stiffness contrast by mechanical 33,34,[38][39][40][41][42][43][44][45][46] or optical 47,48 means. 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.…”

Section: Introductionmentioning

confidence: 99%

“…For example, a new study used an indenter to measure the normal and lateral forces which were further analyzed by artificial neural network to differentiate hard inclusions from the surrounding matrix. 41 Lee and Won have investigated an optical tactile sensation imaging system (TSIS) in which stresses and strains were determined by the scattered light. 47 A piezoelectric finger (PEF) is a new type of tissue elasticity sensor in a cantilever form with two piezoelectric layers (see Fig.…”

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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Lateral exploration strategy for differentiating the stiffness ratio of an inclusion in soft tissue

Cited by 12 publications

References 22 publications

Differentiating Autoimmune Pancreatitis From Pancreatic Adenocarcinoma Using Dual-Phase Computed Tomography

Differentiating Autoimmune Pancreatitis From Pancreatic Adenocarcinoma Using Dual-Phase Computed Tomography

Probing model tumor interfacial properties using piezoelectric cantilevers

Development of array piezoelectric fingers towards in vivo breast tumor detection

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