scholarly journals Ultrasonic Measurement of Temperature Rise in Breast Cyst and in Neighbouring Tissues as a Method of Tissue Differentiation

2016 ◽  
Vol 41 (4) ◽  
pp. 791-798 ◽  
Author(s):  
Barbara Gambin ◽  
Michał Byra ◽  
Eleonora Kruglenko ◽  
Olga Doubrovina ◽  
Andrzej Nowicki
Keyword(s):  
Probability Density ◽  
Breast Tissue ◽  
Tissue Characterization ◽  
Heating Process ◽  
Ultrasound Images ◽  
Bioheat Equation ◽  
Acoustical Properties ◽  
Breast Cyst ◽  
Malignant Lesions ◽  
Backscattered Signals

Abstract Texture of ultrasound images contain information about the properties of examined tissues. The analysis of statistical properties of backscattered ultrasonic echoes has been recently successfully applied to differentiate healthy breast tissue from the benign and malignant lesions. We propose a novel procedure of tissue characterization based on acquiring backscattered echoes from the heated breast. We have proved that the temperature increase inside the breast modifies the intensity, spectrum of the backscattered signals and the probability density function of envelope samples. We discuss the differences in probability density functions in two types of tissue regions, e.g. cysts and the surrounding glandular tissue regions. Independently, Pennes bioheat equation in heterogeneous breast tissue was used to describe the heating process. We applied the finite element method to solve this equation. Results have been compared with the ultrasonic predictions of the temperature distribution. The results confirm the possibility of distinguishing the differences in thermal and acoustical properties of breast cyst and surrounding glandular tissues.

Increse of newly - detected in situ cancers in non-palpable breast lesions

2006 ◽  
Vol 53 (1) ◽  
pp. 73-75
Author(s):  
N. Miletic ◽  
D. Stojiljkovic ◽  
M. Inic ◽  
M. Prekajski ◽  
A. Celebic ◽  
...  
Keyword(s):  
Breast Tissue ◽  
Malignant Disease ◽  
Clinical Stage ◽  
Diagnostic Procedures ◽  
Basal Membrane ◽  
Needle Aspiration ◽  
Screening Mammography ◽  
Significant Difference ◽  
Malignant Lesions

Great importance in detecting cancer in the phase of in situ lays in the fact that the epithelial layer is deprived of blood and lymph vessels, so metastases may develop only when basal membrane has been broken. This paper includes 46 operated women in whom it preoperatively had been verified suspect non-palpable lesion. The preoperative diagnostics included use of high- resolution mammography, aimed mammography, palpatory examination, as well as fine-needle aspiration (FNA), biopsy and cytologic analysis of the sample. The methodology of this work implies the use of stereotaxic marking, specimen mammography and ex-tempore pathohistology analysis. Out of 46 investigated patients in clinical stage T0N0M0, in whom there were no signs of malignant disease, and according to suspect lesion of initial screening mammography, malignant lesions of breast tissue were diagnosed in 19 patients (41%) intraoperatively. Three of these lesions (15,8%) were histopathologically verified as in situ. Comparing our results with data of the Institute of oncology and radiology of Serbia hospital registry (IORS) for the year 2001, from 1173 patients registered with malignant lesions, only 16 ones (1,4%) had in situ cancer, operated on the basis of the suspect mammography of clinical stage T0N0M0. Statistically significant difference was found related to the number of detected cancers in this early phase of the breast malignant disease. This limits surgical intervention to tumorectomy, with preservation of the remaining breast tissue, what brings to healing, justifying in that way, screening examinations and routine application of the most contemporary diagnostic procedures.

scholarly journals Cardiac magnetic resonance imaging in differential diagnosis of cardiac masses

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
EC D"angelo ◽  
P Paolisso ◽  
L Bergamaschi ◽  
A Foa ◽  
I Magnani ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Pericardial Effusion ◽  
Tissue Characterization ◽  
Descriptive Analysis ◽  
Gadolinium Enhancement ◽  
Malignant Lesions ◽  
T1 And T2 ◽  
Cardiac Masses

Abstract Funding Acknowledgements Type of funding sources: Public hospital(s). Main funding source(s): S. Orsola Hospital Background  Differential diagnosis of cardiac masses represents a challenging issue with important implications for therapeutic management and patient’s prognosis. Cardiac Magnetic Resonance (CMR) is a non-invasive imaging technique used to characterize morphologic and functional features of masses. Integration of these information can lead an accurate diagnosis. Purpose  To evaluate the diagnostic role of CMR in defining the nature of cardiac masses. Methods : Ninety-three patients with cardiac masses evaluated with CMR were enrolled. All masses had histological certainty. CMR sequences allowed a qualitative morphologic description as well as tissue characterization. Evaluation of masses morphology included localization, size and borders assessment, detection of potential multiple lesions and pericardial effusion. Tissue characterization resulted from an estimation of contrast enhancement - early gadolinium enhancement (EGE) and late gadolinium enhancement (LGE) sequences - and tissue homogeneity in T1 and T2 weighted acquisitions. The descriptive analysis was carried out by comparing benign vs malignant lesions as well as dividing patients into 4 subgroups: primitive benign tumours, primitive malignant tumours, metastatic tumours and pseudotumours.  Results  The descriptive analysis of the morphologic features showed that diameter > 50mm, invasion of surrounding planes, irregular margins and presence of pericardial effusion were able to predict malignancy (p < 0.001). As for tissue characteristics, heterogeneous signal intensity - independently from T1 and T2 weighted acquisitions - and EGE were more common in malignant lesions (p <0.001). When analysing the four subgroups, CMR features did not discriminate between primitive malignant masses and metastasis. Conversely, hyperintensity signal and EGE were able to distinguish benign primitive lesions from pseudotumors (p = 0.002).  Furthermore, using classification and regression tree (CART) analysis, we developed an algorithm to differentiate masses: invasion of surrounding planes was a common characteristic of malignancy and identifies itself malignant tumors. In the absence of invasive features, gadolinium enhancement was evaluated: the lack of contrast uptake was able to exclude a pseudotumor diagnosis and reduced the probability of a primary benign tumor.  Conclusions Cardiac magnetic resonance is a very powerful diagnostic tool for differential diagnosis of cardiac masses as it correctly addresses malignancy. Furthermore, an accurate evaluation of the several CMR features, may discriminate primary benign masses and pseudotumours. Abstract Figure. Benign and malignant cardiac masses

Breast tissue characterization using FARMA modeling of ultrasonic RF echo

2004 ◽  
Vol 30 (10) ◽  
pp. 1397-1407 ◽  
Author(s):  
Burak Alacam ◽  
Birsen Yazici ◽  
Nihat Bilgutay ◽  
Flemming Forsberg ◽  
Catherine Piccoli
Keyword(s):  
Breast Tissue ◽  
Tissue Characterization

Ultrasound Viscoelastic Imaging of Breast Lesions: A Practical Hybrid Freehand Technique for Data Acquisition

2011 ◽  
Author(s):  
Andrew Di Battista ◽  
J. Alison Noble ◽  
Ruth English
Keyword(s):  
Tissue Characterization ◽  
Time Sequence ◽  
Model Fit ◽  
Frame Rate ◽  
Supplementary Information ◽  
Ultrasound Images ◽  
Clinical Patient ◽  
Parametric Data ◽  
Freehand Technique ◽  
Applied Forces

Ultrasound imaging of the breast is a standard method in breast cancer screening, along with mammography. The viscoelastic properties of soft tissue can provide supplementary information for radiologist to consider in their assessment of pathology and tissue characterization. Measuring these properties generally entails acquiring a time sequence of ultrasound images and calculating parametric data from it. As images are necessarily accumulated over time, acquisition is limited by the frame rate and memory capacity of the ultrasound machine, and practical considerations such as movement from the clinicians hands and patient breathing. This paper describes a technique for hybrid-freehand imaging of viscoelasticity (HYFIVE). It involves acquiring a time sequence of images making use of a simple purpose built canister enclosure for the ultrasound probe which allows for a stable and accurate manipulation of applied forces, without the need of motors, sensors or other sophisticated and costly parts. A sequence of ultrasound strain images was computed and a first order Kelvin-Voigt tissue model fit to the resulting strain vs. time curves to obtain parametric data related to tissue stiffness and viscosity. Experiments were conducted on both gelatin phantoms and clinical patient data.

Breast tissue characterization based on modeling of ultrasonic echoes using the power-law shot noise model

2003 ◽  
Vol 24 (4-5) ◽  
pp. 741-756 ◽  
Author(s):  
M.Alper Kutay ◽  
Athina P Petropulu ◽  
Catherine W Piccoli
Keyword(s):  
Power Law ◽  
Shot Noise ◽  
Breast Tissue ◽  
Tissue Characterization ◽  
Noise Model
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