MR elastography of the breast:preliminary clinical results

Lorenzen, J.; Sinkus, Ralph; Lorenzen, M; Dargatz, M; Leussler, C; Röschmann, P.; Adam, Gerhard

doi:10.1055/s-2002-32690

Cited by 87 publications

(88 citation statements)

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“…One consequence of the stromal reaction is desmoplasia, which is responsible for the scirrhous properties of palpable tumors. In the highly vascularized desmoplasia of advanced IDC, myofibroblast activity shifts outward to the growing edge (1), producing a twofold (14) to more than 10-fold (11) increase in the stiffness of tissues surrounding the tumor.…”

Section: Tumor Elasticity and The Microenvironmentmentioning

confidence: 99%

“…Elasticity imaging (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) employs similar principles but with greater sensitivity for deep structures and with spatial resolution comparable to the host modality. It is often referred to as palpation by remote sensing, where tactile sensing is replaced by a medical imaging device.…”

Section: Ultrasonic Elasticity Imagingmentioning

confidence: 99%

“…Others found ultrasonic strain imaging useful for detection but were unable to assess its ability to differentiate malignant and benign lesions (35). Still others working with MRE methods found malignant lesions to be twice as stiff as benign lesions (36) and malignancies more than four times stiffer than the surrounding parenchymal tissue (31), in agreement with mechanical tests on tissue samples (11). Clearly the enormous elastographic contrast for cancer can be exploited using either US or MR images but a consistent picture of the underlying mechanisms has yet to emerge.…”

Section: Ultrasonic Elasticity Imagingmentioning

confidence: 99%

See 2 more Smart Citations

Viscoelastic Imaging of Breast Tumor Microenvironment With Ultrasound

Insana

Pellot‐Barakat

Sridhar

et al. 2004

J Mammary Gland Biol Neoplasia

100

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Imaging systems are most effective for detection and classification when they exploit contrast mechanisms specific to particular disease processes. A common example is mammography, where the contrast depends on local changes in cell density and the presence of microcalcifications. Unfortunately the specificity for classifying malignant breast disease is relatively low for many current diagnostic techniques. This paper describes a new ultrasonic technique for imaging the viscoelastic properties of breast tissue. The mechanical properties of glandular breast tissue, like most biopolymers, react to mechanical stimuli in a manner specific to the microenvironment of the tissue. Elastic properties allow noninvasive imaging of desmoplasia while viscous properties describe metabolism-dependent features such as pH. These ultrasonic methods are providing new tools for studying disease mechanisms as well as improving diagnosis.

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Section: Tumor Elasticity and The Microenvironmentmentioning

confidence: 99%

Section: Ultrasonic Elasticity Imagingmentioning

confidence: 99%

Section: Ultrasonic Elasticity Imagingmentioning

confidence: 99%

See 1 more Smart Citation

Viscoelastic Imaging of Breast Tumor Microenvironment With Ultrasound

Insana

Pellot‐Barakat

Sridhar

et al. 2004

J Mammary Gland Biol Neoplasia

100

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“…Dual-energy digital mammography [3] combines low and high energy x-ray mammograms non-linearly to cancel fibroglandular tissue structures, thus improving detection of microcalcifications, often being early signs of breast cancer. Electrical impedance scanning [4,5], MR elastography [6], and volume selective MR spectroscopy [7,8] of the breast provide information other than morphologic, i.e., on dielectric, viscoelastic, and biochemical properties of breast tissue including benign lesions and cancers. Positron emission mammography [9,10] allows to directly probe metabolic activity of breast cancer, e.g., its glucose demand using 2-( 18 F)-fluorodeoxyglucose as a tracer.…”

Section: Introductionmentioning

confidence: 99%

Detection and characterization of breast tumours by time-domain scanning optical mammography

Rinneberg

Grosenick

Moesta

et al. 2008

Opto-Electronics Review

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The paper gives a short overview of various methods of optical mammography, emphasizing scanning time-domain mammography. The results of a clinical study on time-domain optical mammography are reviewed, comprising 154 patients carrying a total of 102 carcinomas validated by histology. A visibility score attributed to each carcinoma as qualitative measure of tumour detectability indicates acceptable sensitivity but poor specificity for discrimination between malignant and benign lesions. Likewise, a multi-variate statistical analysis yields sensitivity and specificity between 80% and 85% for tumour detection and discrimination with respect to normal (healthy) breast tissue, but values less than 70% for discrimination between malignant and benign breast lesions, being too low to be of clinical relevance. For 87 of the 88 tumours detected retrospectively in both projection optical mammograms, optical properties and tissue parameters were derived based on the diffraction of photon density waves by a spherical inhomogeneity as forward model. Following injection of a bolus of indocyanine green as non-targeted absorbing contrast agent, dynamic contrast-enhanced time-domain optical mammography was carried out on a small number of patients, but no differences in wash-out kinetics of indocyanine green between tumours and healthy breast tissue were observed.

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“…Ultrasound and MRI techniques are used to detect small local tissue deformations that reflect elasticity. The large intrinsic stiffness contrast generated by most pathological tissue can be exploited in elasticity imaging [9][10][11][12][13][14]. Furthermore, time-varying mechanical features of breast tissues [15][16][17] could provide information about the tissue microenvironment that affects molecular signaling and controls the rate of tumor growth, metastatic potential, and response to therapy [18].…”

Section: I-introductionmentioning

confidence: 99%

Ultrasonic Elasticity Imaging as a Tool for Breast Cancer Diagnosis and Research

Pellot‐Barakat¹,

Sridhar²,

Lindfors³

et al. 2006

CMIR

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Ultrasonic elasticity imaging is a promising new tool for breast cancer diagnosis and management. Ultrasound is applied to sense small local tissue deformations noninvasively to image stiffness and thus exploit the large intrinsic stiffness contrast generated during the progression of many diseases in vivo. This paper briefly reviews several related approaches to breast elasticity imaging to explain some of the observed variability in breast imaging results. Preliminary clinical results from a population of 13 patients with small and nonpalpable breast lesions obtained with a low noise elasticity imaging algorithm developed in our group are then reported. All the benign lesions exhibited normal elasticity ranges. About half of the malignant lesions were undetected with elasticity imaging most likely because of their small size (<7mm) or softening from the addition of fatty-replaced tissue. Other malignant lesions were clearly identified as areas with extreme elasticity values compared to their surroundings. We observed that some malignant lesions did not exhibit any desmoplasic stiffening while others showed an uncommon softening. It is clear that by broadening the study population to include small and nonpalpable lesions, we see much variability in elasticity image findings.

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MR elastography of the breast:preliminary clinical results

Cited by 87 publications

References 0 publications

Viscoelastic Imaging of Breast Tumor Microenvironment With Ultrasound

Viscoelastic Imaging of Breast Tumor Microenvironment With Ultrasound

Detection and characterization of breast tumours by time-domain scanning optical mammography

Ultrasonic Elasticity Imaging as a Tool for Breast Cancer Diagnosis and Research

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