Journal articles: 'Breast elasticity'

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Dzoic Dominkovic, Martina, Gordana Ivanac, Kristina Bojanic, Kristina Kralik, Martina Smolic, Eugen Divjak, Robert Smolic, and Boris Brkljacic. "Exploring Association of Breast Pain, Pregnancy, and Body Mass Index with Breast Tissue Elasticity in Healthy Women: Glandular and Fat Differences." Diagnostics 10, no. 6 (June 10, 2020): 393. http://dx.doi.org/10.3390/diagnostics10060393.

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Breast sonoelastography is a relatively novel ultrasound (US) method that enables estimation of tissue stiffness to estimate the elasticity of normal breast tissue and seek to correlate it with well-known breast cancer risk factors. Two hundred women of different age were included in the study and completed a questionnaire about personal, familiar, and reproductive history. Glandular and fatty tissue elasticity in all breast quadrants was measured by shear wave elastography (SWE). Mean elastographic values of breast tissue were calculated and compared to personal history risk factors. Elasticity of normal glandular tissue (66.4 kilopascals (kPa)) was higher than fatty tissue (26.1 kPa) in all breast quadrants and in both breasts. Lower outer quadrant (LOQ) had the lowest elasticity values of both parenchyma and fat. Higher elasticity values of breast tissue were confirmed in the left breast than in the right breast. Glandular and fat tissue elasticity negatively correlated with body mass index (BMI). Women with mastodynia had higher glandular elastographic values compared to subjects without breast pain. Nuliparity was also associated with higher elasticity of glandular breast tissue. The results of this study are promising and could, over time, contribute to a better understanding of glandular breast tissue elasticity as a potential risk factor for breast cancer.

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Patel, Bhavika K., Kay Pepin, Kathy R. Brandt, Gina L. Mazza, Barbara A. Pockaj, Jun Chen, Yuxiang Zhou, et al. "Global tissue stiffness on breast MR elastography: High-risk dense breast patients have higher stiffness compared to average-risk dense breast patients." Journal of Clinical Oncology 39, no. 15_suppl (May 20, 2021): 10541. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.10541.

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10541 Background: Biomechanical tissue properties may vary in the breasts of patients at elevated risk for breast cancer. We aim to quantify in vivo biomechanical tissue properties in various breast densities and in both normal risk and high risk women using Magnetic Resonance Imaging (MRI)/MRE and examine the association of biomechanical properties of the breast with cancer risk. Methods: In this IRB–approved prospective single-institution study, we recruited two groups of women differing by breast cancer risk to undergo a 3.0 T dynamic contrast enhanced MRI/MRE of the breast. Low-average risk women were defined as having no personal or significant family history of breast cancer, no prior high risk breast biopsies and a negative mammography within 12 months. High-risk breast cancer patients were recruited from those patients who underwent standard of care breast MR. Within each breast density group (non-dense versus dense), two-sample t-tests were used to compare breast stiffness, elasticity, and viscosity across risk groups (low-average vs high). Results: There were 50 low-average risk and 86 high-risk patients recruited to the study. The risk groups were similar on age (mean age = 55.6 and 53.6 years), density (68% vs. 64% dense breasts) and menopausal status (66.0% vs. 69.8%). Among patients with dense breasts, mean stiffness, elasticity, and viscosity were significantly higher in high risk patients ( N = 55) compared to low-average risk patients ( N = 34; all p < 0.001). In the multivariate logistic regression model, breast stiffness remained a significant predictor of risk status (OR=4.26, 95% CI [1.96, 9.25]) even after controlling for breast density, MRI BPE, age, and menopausal status. Similar results were seen for breast elasticity (OR=4.88, 95% CI [2.08, 11.43]) and viscosity (OR=11.49, 95% CI [1.15, 114.89]). Conclusions: Structurally-based, quantitative biomarker of tissue stiffness obtained from global 3D breast MRE is associated with differences in breast cancer risk in dense breasts. As such, tissue stiffness could provide a novel prognostic marker to help identify the subset of high-risk women with dense breasts who would benefit from increased surveillance.[Table: see text]

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Cosgrove, D., C. Doré, R. Hooley, E. B. Mendelson, L. Barke, A. Cossi, B. Cavanaugh, and L. Larsen. "Shearwave Elasticity Measurements of Breast Fat." Ultrasound in Medicine & Biology 37, no. 8 (August 2011): S47. http://dx.doi.org/10.1016/j.ultrasmedbio.2011.05.224.

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Sutradhar, Alok, and Michael J. Miller. "In vivomeasurement of breast skin elasticity and breast skin thickness." Skin Research and Technology 19, no. 1 (August 14, 2012): e191-e199. http://dx.doi.org/10.1111/j.1600-0846.2012.00627.x.

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Barr, Richard G. "Real-Time Ultrasound Elasticity of the Breast." Ultrasound Quarterly 26, no. 2 (June 2010): 61–66. http://dx.doi.org/10.1097/ruq.0b013e3181dc7ce4.

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Moon, Jin Hee, Ji-Young Hwang, Jeong Seon Park, Sung Hye Koh, and Sun-Young Park. "Impact of region of interest (ROI) size on the diagnostic performance of shear wave elastography in differentiating solid breast lesions." Acta Radiologica 59, no. 6 (September 12, 2017): 657–63. http://dx.doi.org/10.1177/0284185117732097.

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Background Shear wave elastography (SWE) using a region of interest (ROI) can demonstrate the quantitative elasticity of breast lesions. Purpose To prospectively evaluate the impact of two different ROI sizes on the diagnostic performance of SWE for differentiating benign and malignant breast lesions. Material and Methods A total of 154 breast lesions were included. Two types of ROIs were investigated: one involving an approximately 2-mm diameter, small round ROIs placed over the stiffest area of the lesion, as determined by SWE (ROI-S); and another ROI drawn along the margin of the lesion using a touch pen or track ball to encompass the entire lesion (ROI-M). Maximum elasticity (Emax), mean elasticity (Emean), minimum elasticity (Emin), and standard deviation (SD) were measured for the two ROIs. The area under the receiver operating characteristic curve (AUC) as well as the sensitivity and specificity of each elasticity value were determined. Results The AUCs for ROI-S were higher than those for ROI-M when differentiating benign and malignant breast solid lesions. The Emax, Emean, Emin, and SD of the elasticity values for ROI-S were 0.865, 0.857, 0.816, and 0.849, respectively, and for ROI-M were 0.820, 0.780, 0.724, and 0.837, respectively. However, only Emax ( P = 0.0024) and Emean ( P = 0.0015) showed statistically significant differences. For ROI-S, the sensitivity and specificity of Emax were 78.8% and 84.3%, respectively, and those for Emean were 80.8% and 81.4%, respectively. Conclusion Using ROI-S with Emax and Emean has better diagnostic performance than ROI-M for differentiating between benign and malignant breast lesions.

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Jha, Anamika. "Ultrasonographic Elasticity Contrast Index of Palpable Breast Lumps." Journal of Nepal Medical Association 56, no. 212 (August 31, 2018): 787–90. http://dx.doi.org/10.31729/jnma.3536.

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Introduction: Elastrography used in addition to grey scale sonography increases its specificity. Elasticity contrast index (ECI) is based on strain elastrography and being a quantitative parameter, maybe more easy to obtain and reproducible while researches has been done in ECI in thyroid lesions, this is the first study, to the best of our knowledge to evaluate in breast lesions. This study was done to evaluate the diagnostic accuracy of Elasticity Contrast Index (ECI) in differentiating benign from malignant lesions of breast and to determine its cutoff value. Methods: This is a descriptive cross-sectional study done at tertiary health care centre, which involved retrospective evaluation of data collected from September 2016 to March 2017. Conventional sonography was done followed by elastography on commercially available ultrasound machine. ECI was calculated in thyroid protocol available in the unit. Histopathological diagnosis was obtained for all the lesions and taken as gold standard. Results: A total of 89 breast lumps were evaluated, of which was 61 (69.3%) were benign and 27 (30.7%) malignant on histopathology. Independent t test revealed the average ECI value of benign lesions was 2.48 and malignant 5.1. Receiver operating curve showed ECI value of 3.25 as the cutoff, above which the lesions were malignant. Conclusions: ECI is a quantitative elastography technique which can be easily used as an adjunct during breast sonography and can increase its specificity for diagnosing a lesion as malignant. This could reduce the number of false positive biopsies.

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Kryzhanovskii, Edvard V., Alexander B. Yavorsky, Lim Kwong Choong, and Muslim Liew Bin Abdullah. "Breast state improvement by using the lymphatic drainage disposable bra pads." International Journal of Research in Medical Sciences 7, no. 3 (February 27, 2019): 795. http://dx.doi.org/10.18203/2320-6012.ijrms20190925.

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Background: The health and good esthetic conditions of the breast are important indicators of women’s life quality. One factor that negatively affects this quality is the breast ptosis, associated with the sagging of the mammary glands due to tissue stretching and the loss of tissue and skin elasticity. New tools and methods able to improve the shape and beautiful contour of the breast are highly desirable.Methods: We investigated how the disposable bra pads by BAE International Inc., having the lymphatic drainage effect for the breast, influenced the female breast state. We applied two methods, the ultrasound elasticity imaging and the pattern recognition of the nipples position, to monitor the breast state dynamics in two groups of females, the study and control ones.Results: Preliminary results showed that both the breast elasticity and the pattern of nipple positions improved for females wearing the bra pads as compared to females wearing regular bras without pads (P<0.05 for the difference between the two groups of females).Conclusions: Overall, the bra pads by BAE can be considered as an effective tool encouraging metabolism by improving the flow of blood circulation and lymph in the breast.

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Fan, Huaiyu, Junshan Ma, and Carol Garcia. "Application of Elasticity Imaging Techniques Based on Ultrasound in Breast Tumor Activity, Blood Supply, and Benign and Malignant Tumor Diagnosis." Journal of Medical Imaging and Health Informatics 10, no. 9 (August 1, 2020): 2163–67. http://dx.doi.org/10.1166/jmihi.2020.3151.

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Objective: The purpose of the study is to discuss the application of ultrasound elasticity imaging techniques in the diagnosis of breast tumor activity, blood supply, benign and malignant tumor diagnosis, and help better diagnosing. Methods: 94 lesions of 84 femalebreast lesions patients were evaluated by conventional ultrasound and static ultrasound elasticity imaging techniques, including 29 malignant lesions and 65 benign lesions. The ultrasonic image was processed by image denoising algorithm. 5-point scale criteria were used to evaluate the elasticity of each lesion, and measure the strain rate (SR) and the mean value of strain color histogram of each lesion. The receiver operating characteristic curve (ROC) was used to analyze the diagnostic sensitivity, specificity, and area under the curve (Az) of various indicators, and evaluate the diagnostic value of conventional ultrasound, static ultrasound elastic imaging, and the combination of the two. Results: the highest Az value of 0.941 was obtained by combining the three static ultrasound elasticity imaging techniques, namely, scoring method, SR method, and strain color histogram method with conventional ultrasound. It was higher than that (0.891) based on conventional ultrasound breast image report and data system (BI-RADS). Moreover, the diagnosis sensitivity was significantly improved, and the specificity was basically unchanged. Conclusion: the combination of static ultrasound elasticity imaging techniques and conventional ultrasound can reduce the number of benign breast lesions and avoid the omission of malignant lesions requiring biopsy. Static ultrasound elasticity imaging techniques are helpful to distinguish the breast lesions. It can be used as a supplement to conventional ultrasound and improve the diagnostic efficiency of ultrasound.

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Huang, Y., J. Sanz, N. Rodríguez, X. Duran, A. Martínez, X. Li, P. Foro, et al. "Quantitative assessments of late radiation-induced skin and soft tissue toxicity and correlation with RTOG scales and biological equivalent dose in breast cancer." Clinical and Translational Oncology 24, no. 5 (November 18, 2021): 836–45. http://dx.doi.org/10.1007/s12094-021-02729-z.

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Abstract Purpose Radiation-induced toxicity (RIT) is usually assessed by inspection and palpation. Due to their subjective and unquantitative nature, objective methods are required. This study aimed to determine whether a quantitative tool is able to assess RIT and establish an underlying BED-response relationship in breast cancer. Methods Patients following seven different breast radiation protocols were recruited to this study for RIT assessment with qualitative and quantitative examination. The biologically equivalent dose (BED) was used to directly compare different radiation regimens. RIT was subjectively evaluated by physicians using the Radiation Therapy Oncology Group (RTOG) late toxicity scores. Simultaneously an objective multiprobe device was also used to quantitatively assess late RIT in terms of erythema, hyperpigmentation, elasticity and skin hydration. Results In 194 patients, in terms of the objective measurements, treated breasts showed higher erythema and hyperpigmentation and lower elasticity and hydration than untreated breasts (p < 0.001, p < 0.001, p < 0.001, p = 0.019, respectively). As the BED increased, Δerythema and Δpigmentation gradually increased as well (p = 0.006 and p = 0.002, respectively). Regarding the clinical assessment, the increase in BED resulted in a higher RTOG toxicity grade (p < 0.001). Quantitative assessments were consistent with RTOG scores. As the RTOG toxicity grade increased, the erythema and pigmentation values increased, and the elasticity index decreased (p < 0.001, p = 0.016, p = 0.005, respectively). Conclusions The multiprobe device can be a sensitive and simple tool for research purpose and quantitatively assessing RIT in patients undergoing radiotherapy for breast cancer. Physician-assessed toxicity scores and objective measurements revealed that the BED was positively associated with the severity of RIT.

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Barr, Richard G., Stamatia Destounis, Logan B. Lackey, William E. Svensson, Corinne Balleyguier, and Carmel Smith. "Evaluation of Breast Lesions Using Sonographic Elasticity Imaging." Journal of Ultrasound in Medicine 31, no. 2 (February 2012): 281–87. http://dx.doi.org/10.7863/jum.2012.31.2.281.

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Chou, Yi-Hong, and Chui-Mei Tiu. "Elasticity Imaging of the Breast: Techniques and Pitfalls." Ultrasound in Medicine & Biology 43 (2017): S88. http://dx.doi.org/10.1016/j.ultrasmedbio.2017.08.1237.

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Svensson, W. E., and D. Amiras. "Ultrasound elasticity imaging." Breast Cancer Online 9, no. 6 (May 11, 2006): 1–7. http://dx.doi.org/10.1017/s1470903106002835.

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Before the advent of diagnostic imaging, palpation was one of the main methods of clinical investigation for the evaluation of tumours. Malignant tumours feel harder that benign ones and this physical property is related to their coefficient of elasticity. Direct comparison of tissue images before and after application of a force is too crude a measure of elasticity except at extremes of differences in elasticity. Analysis of the raw imaging data, which contains very much more information than can be displayed for visual perception, can detect very much smaller differences in elasticity.The radio frequency data of returning ultrasound echoes contain much more data than appears in an ultrasound image. Comparison, of the datasets of uncompressed tissue with compressed tissue, of a region of interest allows production of a strain (elasticity) image of that same region of interest. Change in tissue which is not visible on B-mode (greyscale) imaging can now be detected with real time strain imaging which is beginning to be developed on commercial ultrasound equipment. The information obtained with strain/elasticity imaging is now showing potential in influencing management of patients with breast problems.

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Adriaenssens, Nele, Dries Belsack, Ronald Buyl, Leonardo Ruggiero, Catherine Breucq, Johan De Mey, Pierre Lievens, and Jan Lamote. "Ultrasound elastography as an objective diagnostic measurement tool for lymphoedema of the treated breast in breast cancer patients following breast conserving surgery and radiotherapy." Radiology and Oncology 46, no. 4 (October 1, 2012): 284–95. http://dx.doi.org/10.2478/v10019-012-0033-z.

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Background. Lymphoedema of the operated and irradiated breast is a common complication following early breast cancer treatment. There is no consensus on objective diagnostic criteria and standard measurement tools. This study investigates the use of ultrasound elastography as an objective quantitative measurement tool for the diagnosis of parenchymal breast oedema. Patients and methods. The elasticity ratio of the subcutis, measured with ultrasound elastography, was compared with high-frequency ultrasound parameters and subjective symptoms in twenty patients, bilaterally, prior to and following breast conserving surgery and breast irradiation. Results. Elasticity ratio of the subcutis of the operated breast following radiation therapy increased in 88.9% of patients, was significantly higher than prior to surgery, unlike the non operated breast and significantly higher than the non operated breast, unlike preoperative results. These results were significantly correlated with visibility of the echogenic line, measured with high-frequency ultrasound. Big preoperative bra cup size was a significant risk factor for the development of breast oedema. Conclusions. Ultrasound elastography is an objective quantitative measurement tool for the diagnosis of parenchymal breast oedema, in combination with other objective diagnostic criteria. Further research with longer follow-up and more patients is necessary to confirm our findings.

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Aslan, Hulya, and Aysin Pourbagher. "Breast Involvement by Hematologic Malignancies: Ultrasound and Elastography Findings with Clinical Outcomes." Journal of Clinical Imaging Science 7 (November 30, 2017): 42. http://dx.doi.org/10.4103/jcis.jcis_65_17.

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Objective: Hematological malignancies very rarely involve the breast. The aim of this study is to retrospectively evaluate B-mode ultrasound (US) and elastography (ES) findings of breast involvement by hematologic malignancies with clinical outcomes. Materials and Methods: All core-needle biopsy results that were performed at our tertiary breast center from January 2013 to September 2016 were searched. Our search revealed 9 patients with breast involvement either by leukemia or lymphoma. All patients were examined using B-mode US and ES. US and ES findings were analyzed with the consensus of two radiologists, and clinical outcomes were noted. Results: The mean age of the study population was 41.6 years (range, 20–83 years). Two patients showed diffuse hypoechoic parenchymal infiltration. The elasticity assessments of these lesions were soft and intermediate. The remaining 7 patients had mass lesions. The elasticity assessment of these masses according to Breast Imaging Reporting and Data System US was as follows: Soft (n = 1), intermediate (n = 4), high (n = 2). Conclusions: It is important to consider that hematologic malignancies may appear as soft or intermediate lesions on ES. Patients’ history and clinical background should help us to consider breast involvement. In addition, the clinical outcomes may not be related with elasticity assessments.

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Miller, Caroline E., Jennifer H. Jordan, Emily Douglas, Katherine Ansley, Alexandra Thomas, and Jared Weis. "Abstract P3-02-07: Assessing the variability of cardiac elasticity imaging to identify subclinical therapy related cardiac degradation in premenopausal women with breast cancer." Cancer Research 82, no. 4_Supplement (February 15, 2022): P3–02–07—P3–02–07. http://dx.doi.org/10.1158/1538-7445.sabcs21-p3-02-07.

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Abstract Introduction: The Increasing incidence of breast cancer in younger women and significant survival gains underscore the importance of understanding cardiotoxicities of anti-neoplastic therapies. Current methods for assessing cardiac decline such as left ventricle ejection fraction and strain imaging are too coarse to identify pre-clinical cardiotoxicity, and emerging methods are cumbersome and/or expensive, complicating clinical utility. We have developed a model-based elasticity imaging method for assessing direct, functional mechanical stiffness of the left ventricle (LV) to indicate early cardiac function degradation which we used to assess cardiovascular changes in premenopausal women with breast cancer and further validated in a healthy cohort. Methods: Our method utilizes CINE cardiac MR images to produce LV elasticity maps in an inverse framework by comparing observed deformation of the LV estimated through non-rigid registration of cardiac MR time frames to biomechanical model estimated deformation. We examined our model-based framework in a cohort of pre-menopausal women either undergoing ovarian function suppression concurrent with aromatase inhibitors (OFS+AI) for HR+ breast cancer or triple negative breast cancer (TNBC) patients after completion of chemotherapy. Elasticity maps of the LV at initial and 3-6 month follow-up were compared to determine regional LV stiffening. To determine expected variability of LV regional stiffening, we conducted a reproducibility study in a healthy cohort by comparing elasticity maps based on scan/re-scan images acquired within the same session. Results: Elasticity maps showed significant stiffness changes in the HR+ cohort compared to the comparator TNBC cohort in longitudinal, radial, and shear directions (Table 1). LVEF and strain image assessment indicated no significant differences. Using the same model-based elasticity methodology we calculated global differences in resultant elasticity maps of healthy participants between scan and re-scan images and determined significant changes in the HR+ cohort greater than expected from methodological variability. Average global changes in stiffness in the HR+ cohort exceeded expected method variation with values 0.2944, 0.344, and 0.8199 for shear, radial, and longitudinal modulus respectively. (Table 2). Conclusion: This work demonstrates our ability to identify changes in LV mechanical elastic modulus using cardiac MR images, where clinical strain and LVEF analysis yielded inconclusive results. This study shows statistically significant differences in LV stiffness in a cohort of women undergoing OFS+AI therapy for HR+ breast cancer when compared to a comparator TNBC cohort. Stiffness changes exceed expected methodological variability, determined from a separate healthy cohort comparing scan/re-scan CINE cardiac MR images. This cardiac elasticity imaging method shows promise as an early indicator of cardiac function decline which might thereby allow for early cardioprotective interventions. Table 1.Mann-Whitney test p-values comparing changes in average relative moduli between HR-positiveBasal AnteriorMid AnteriorApical AnteriorApical InferiorMid InferiorBasal InferiorGlobalLongitudinal Modulus0.1570.2740.5880.036*0.011*0.0670.210Radial Modulus0.008*0.014*0.3500.5880.2410.2100.588Shear Modulus0.003*0.2740.9990.3110.4850.003*0.134 Table 2.Reproducibility statistics for global elasticity changes within same-session acquisitionsRadial ModulusCircumferential ModulusShear ModulusRepeatability0.1330.1070.07895% CI0.0330.0260.019wCV0.2190.2110.283 Citation Format: Caroline E Miller, Jennifer H Jordan, Emily Douglas, Katherine Ansley, Alexandra Thomas, Jared Weis. Assessing the variability of cardiac elasticity imaging to identify subclinical therapy related cardiac degradation in premenopausal women with breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-02-07.

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Orguc, Sebnem, and Çağdaş Rıza Açar. "Correlation of Shear-Wave Elastography and Apparent Diffusion Coefficient Values in Breast Cancer and Their Relationship with the Prognostic Factors." Diagnostics 12, no. 12 (December 2, 2022): 3021. http://dx.doi.org/10.3390/diagnostics12123021.

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Background: Diffusion-weighted imaging and elastography are widely accepted methods in the evaluation of breast masses, however, there is very limited data comparing the two methods. The apparent diffusion coefficient is a measure of the diffusion of water molecules obtained by diffusion-weighted imaging as a part of breast MRI. Breast elastography is an adjunct to conventional ultrasonography, which provides a noninvasive evaluation of the stiffness of the lesion. Theoretically, increased tissue density and stiffness are related to each other. The purpose of this study is to compare MRI ADC values of the breast masses with quantitative elastography based on ultrasound shear wave measurements and to investigate their possible relation with the prognostic factors and molecular subtypes. Methods: We retrospectively evaluated histopathologically proven 147 breast lesions. The molecular classification of malignant lesions was made according to the prognostic factors. Shear wave elastography was measured in kiloPascal (kPa) units which is a quantitative measure of tissue stiffness. DWI was obtained using a 1.5-T MRI system. Results: ADC values were strongly inversely correlated with elasticity (r = −0.662, p < 0.01) according to Pearson Correlation. In our study, the cut-off value of ADC was 1.00 × 10−3 cm2/s to achieve a sensitivity of 84.6% and specificity of 75.4%, and the cut-off value of elasticity was 105.5 kPa to achieve the sensitivity of 96.3% and specificity 76.9% to discriminate between the malignant and benign breast lesions. The status of prognostic factors was not correlated with the ADC values and elasticity. Conclusions: Elasticity and ADC values are correlated. Both cannot predict the status of prognostic factors and differentiate between molecular subtypes.

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Coltman, C. E., J. R. Steele, and D. E. McGhee. "Effect of aging on breast skin thickness and elasticity: implications for breast support." Skin Research and Technology 23, no. 3 (November 1, 2016): 303–11. http://dx.doi.org/10.1111/srt.12335.

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Barr, Richard G., and Zheng Zhang. "Effects of Precompression on Elasticity Imaging of the Breast." Journal of Ultrasound in Medicine 31, no. 6 (June 2012): 895–902. http://dx.doi.org/10.7863/jum.2012.31.6.895.

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Yamakawa, Makoto, Naotaka Nitta, Tsuyoshi Shiina, Takeshi Matsumura, Satoshi Tamano, Tsuyoshi Mitake, and Ei Ueno. "High-speed Freehand Tissue Elasticity Imaging for Breast Diagnosis." Japanese Journal of Applied Physics 42, Part 1, No. 5B (May 30, 2003): 3265–70. http://dx.doi.org/10.1143/jjap.42.3265.

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Coumaré, R., L. Bouten, and F. Barbier. "Influence of the menstrual cycle on breast skin elasticity." Computer Methods in Biomechanics and Biomedical Engineering 18, sup1 (August 14, 2015): 1912–13. http://dx.doi.org/10.1080/10255842.2015.1069558.

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Samani, Abbas, Seyed R. Mousavi, Hassan Rivaz, Ali Sadeghi-Naini, and Gregory Czarnota. "Breast ultrasound elastography using inverse finite element elasticity reconstruction." Journal of the Acoustical Society of America 141, no. 5 (May 2017): 3675. http://dx.doi.org/10.1121/1.4987977.

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Boca (Bene), Ioana, Anca Ileana Ciurea, Cristiana Augusta Ciortea, and Sorin Marian Dudea. "Pros and Cons for Automated Breast Ultrasound (ABUS): A Narrative Review." Journal of Personalized Medicine 11, no. 8 (July 23, 2021): 703. http://dx.doi.org/10.3390/jpm11080703.

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Automated breast ultrasound (ABUS) is an ultrasound technique that tends to be increasingly used as a supplementary technique in the evaluation of patients with dense glandular breasts. Patients with dense breasts have an increased risk of developing breast cancer compared to patients with fatty breasts. Furthermore, for this group of patients, mammography has a low sensitivity in detecting breast cancers, especially if it is not associated with architectural distortion or calcifications. ABUS is a standardized examination with many advantages in both screening and diagnostic settings: it increases the detection rate of breast cancer, improves the workflow, and reduces the examination time. On the other hand, like any imaging technique, ABUS has disadvantages and even some limitations. Many disadvantages can be diminished by additional attention and training. Disadvantages regarding image acquisition are the inability to assess the axilla, the vascularization, and the elasticity of a lesion, while concerning the interpretation, the disadvantages are the artifacts due to poor positioning, lack of contact, motion or lesion related. This article reviews and discusses the indications, the advantages, and disadvantages of the method and also the sources of error in the ABUS examination.

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Tawfeeq, Raad, Enam Khalel, and Noor Al-Waely. "COMBINING STRAIN ELASTOGRAPHY FINDINGS WITH ULTRASOUND BIRADS SYSTEM TO DISCRIMINATE BETWEEN BENIGN AND MALIGNANT SOLID BREAST MASSES." Iraqi Journal of Medical Sciences 16, no. 1 (March 31, 2018): 74–83. http://dx.doi.org/10.22578/ijms.16.1.11.

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Background: Elastography has been attracting attention as a new non-invasive diagnostic tool with the potential to improve breast masses characterization. Objective: To assess the value of incorporating strain elastography into the ultrasound Breast Imaging Reporting and Data System (BIRADS) System to differentiate benign from malignant breast masses. Methods: Fifty-six women with 61 solid breast masses were enrolled in this study. Ultrasound was performed and the mass was given an US BIRADS category. Elastographic examination was performed and each lesion was assigned an Elasticity Score (ES) according to the Tsukuba scoring system. Strain Ratios (SRs) were calculated from a tumor adjusted Region of Interest (ROI) and a reference ROI in the fatty tissue. The US BIRADS was modified according to the elasticity criteria. Sensitivity, specificity, area under the curve (AUC) and cutoff values were calculated for US BIRADS, ES, SR and the modified BIRADS method using (ROC) curve analysis. Results: The final results were based on 61 masses, 25 benign and 36 malignant. The sensitivity and specificity were respectively (97% and 80%) for US BIRADS, (86.1% and 84%) for ES, (94.44% and 84%) for SR, and (97% and 84%) for the modified BIRADS. Conclusion: Combining elastography with conventional ultrasound yielded better diagnostic performance with improved specificity. Keywords: Elastography, breast masses, elasticity, strain ratio, modified BIRADS Citation: Tawfeeq RHA, Khalel EA, Al-Waely NKN. Combining strain elastography findings with ultrasound BIRADS system to discriminate between benign and malignant solid breast masses. Iraqi JMS. 2018; Vol. 16(1): 74-83. doi: 10.22578/IJMS.16.1.11

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Céspedes, I., J. Ophir, H. Ponnekanti, and N. Maklad. "Elastography: Elasticity Imaging Using Ultrasound with Application to Muscle and Breast in Vivo." Ultrasonic Imaging 15, no. 2 (April 1993): 73–88. http://dx.doi.org/10.1177/016173469301500201.

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Changes in tissue elasticity are generally correlated with its pathological state. In many cases, despite the difference in elasticity, the small size of a lesion or its location deep in the body preclude its detection by palpation. In general, such a lesion may or may not posses echogenic properties that would make it ultrasonically detectable. Elastography is an ultrasonic method for imaging the elasticity of compliant tissues. The method estimates the local longitudinal strain of tissue elements by ultrasonically assessing the one dimensional local displacements. This information can be combined with first order theoretical estimates of the local stress to yield a quantitative measure of the local elastic properties of tissue. The elasticity information is displayed in the form of a gray scale image called an elastogram. An experimental system for elastography in phantoms based on a single element transducer has been described previously [1]. Here we introduce a new elastography system based on a linear array transducer that is suitable for in vivo scanning. We describe tissue mimicking phantom experiments and preliminary in vivo breast and muscle elastograms confirming the feasibility of performing elastography in vivo. An elastogram of a breast containing an 8 mm palpable cancer nodule clearly shows the lesion. Elastograms and their corresponding sonograms show some similarities and differences in the depiction of tissue structures.

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Sarvazyan, A., V. Egorov, J. S. Son, and C. S. Kaufman. "Article Commentary: Cost-Effective Screening for Breast Cancer Worldwide: Current State and Future Directions." Breast Cancer: Basic and Clinical Research 1 (January 2008): BCBCR.S774. http://dx.doi.org/10.4137/bcbcr.s774.

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Affordability of healthcare is highly limited by its skyrocketing cost. Access to screening and diagnostic medical equipment and medicine in developing countries is inadequate for the majority of the population. There is a tremendous worldwide need to detect breast cancer at its earliest stage. These needs must be balanced by the ability of countries to provide breast cancer screening technology to their populations. We reviewed the diagnostic accuracy, procedure cost and cost-effectiveness of currently available technique for breast screening and diagnosis including clinical breast examination, mammography, ultrasound, magnetic resonance imaging, biopsy and a new modality for cancer diagnostics termed elasticity imaging that has emerged in the last decade. Clinical results demonstrate that elasticity imaging even in its simplest and least sophisticated versions, like tactile imaging, has significant diagnostic potential comparable and exceeding that of conventional imaging techniques. In view of many countries with limited resources, effective yet less expensive modes of screening must be considered worldwide. The tactile imaging is one method that has the potential to provide cost-effective breast cancer screening and diagnostics.

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Zanetti-Dällenbach, Rosanna, Marija Plodinec, Philipp Oertle, Katharina Redling, Ellen C. Obermann, Roderick Y. H. Lim, and Cora-Ann Schoenenberger. "Length Scale Matters: Real-Time Elastography versus Nanomechanical Profiling by Atomic Force Microscopy for the Diagnosis of Breast Lesions." BioMed Research International 2018 (October 16, 2018): 1–12. http://dx.doi.org/10.1155/2018/3840597.

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Real-time elastography (RTE) is a noninvasive imaging modality where tumor-associated changes in tissue architecture are recognized as increased stiffness of the lesion compared to surrounding normal tissue. In contrast to this macroscopic appraisal, quantifying stiffness properties at the subcellular level by atomic force microscopy (AFM) reveals aggressive cancer cells to be soft. We compared RTE and AFM profiling of the same breast lesion to explore the diagnostic potential of tissue elasticity at different length scales. Patients were recruited from women who were scheduled for a biopsy in the outpatient breast clinic of the University Hospital Basel, Switzerland. RTE was performed as part of a standard breast work-up. Individual elastograms were characterized based on the Tsukuba elasticity score. Additionally, lesion elasticity was semiquantitatively assessed by the strain ratio. Core biopsies were obtained for histologic diagnosis and nanomechanical profiling by AFM under near-physiological conditions. Bulk stiffness evaluation by RTE does not always allow for a clear distinction between benign and malignant lesions and may result in the false assessment of breast lesions. AFM on the other hand enables quantitative stiffness measurements at higher spatial, i.e., subcellular, and force resolution. Consequently, lesions that were false positive or false negative by RTE were correctly identified by their nanomechanical AFM profiles as confirmed by histological diagnosis. Nanomechanical measurements can be used as unique markers of benign and cancerous breast lesions by providing relevant information at the molecular level. This is of particular significance considering the heterogeneity of tumors and may improve diagnostic accuracy compared to RTE.

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Destounis, Stamatia. "Applications of Elasticity Imaging in the Diagnosis of Breast Lesions." Contemporary Diagnostic Radiology 35, no. 15 (July 2012): 1–5. http://dx.doi.org/10.1097/01.cdr.0000415816.97177.68.

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&NA;. "Applications of Elasticity Imaging in the Diagnosis of Breast Lesions." Contemporary Diagnostic Radiology 35, no. 15 (July 2012): 6. http://dx.doi.org/10.1097/01.cdr.0000415817.35296.5d.

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Groenhuis, Vincent, Francesco Visentin, Françoise J. Siepel, Bogdan M. Maris, Diego Dall’alba, Paolo Fiorini, and Stefano Stramigioli. "Analytical derivation of elasticity in breast phantoms for deformation tracking." International Journal of Computer Assisted Radiology and Surgery 13, no. 10 (June 4, 2018): 1641–50. http://dx.doi.org/10.1007/s11548-018-1803-x.

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Mitka, Mike. "New Ultrasound “Elasticity” Technique May Reduce Need for Breast Biopsies." JAMA 297, no. 5 (February 7, 2007): 455. http://dx.doi.org/10.1001/jama.297.5.455.

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Park, Dae Woo. "Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity." Computational and Mathematical Methods in Medicine 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/2541325.

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Shear wave elasticity imaging (SWEI) can assess the elasticity of tissues, but the shear modulus estimated in SWEI is often less sensitive to a subtle change of the stiffness that produces only small mechanical contrast to the background tissues. Because most soft tissues exhibit mechanical nonlinearity that differs in tissue types, mechanical contrast can be enhanced if the tissues are compressed. In this study, a finite element- (FE-) based simulation was performed for a breast tissue model, which consists of a circular (D: 10 mm, hard) tumor and surrounding tissue (soft). The SWEI was performed with 0% to 30% compression of the breast tissue model. The shear modulus of the tumor exhibited noticeably high nonlinearity compared to soft background tissue above 10% overall applied compression. As a result, the elastic modulus contrast of the tumor to the surrounding tissue was increased from 0.46 at 0% compression to 1.45 at 30% compression.

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MATSUOKA, Yuki, Nobue KAWAUCHI, Narumi SUGINO, Aya HIRABAYASHI, Emiko MORISHITA, Koyu SUZUKI, Takeshi KIMURA, and Hiroko TSUNODA. "The optimal cutoff value of elasticity index and ratio for discrimination between benign breast mass and invasive carcinoma on breast ultrasound." Choonpa Igaku 44, no. 6 (2017): 529–34. http://dx.doi.org/10.3179/jjmu.jjmu.a.93.

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Duan, Qing, Na Zhuo, Tong Sun, and Xuening Zhang. "Clinical Study of Ultrasound Elastography in Qualitative Diagnosis of Breast Masses." Journal of Medical Imaging and Health Informatics 11, no. 3 (March 1, 2021): 1020–27. http://dx.doi.org/10.1166/jmihi.2021.3353.

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Breast mass is one of the clinical signs of breast lesions. Clinically, breast tumors can occur in breast cancer, breast tuberculosis, breast duct dilatation, breast cysts, breast fibroadenoma, and breast hyperplasia. Its pathogenesis is not clear. The occurrence of breast lesions is related to many factors, such as diet, trauma, genetic mutations, inheritance, endocrine disorders, breast development, and chronic stimuli. With the continuous improvement of examination equipment and continuous improvement of the treatment level, the incidence of breast masses is increasing. For a long time, clinicians have mostly used hand palpation methods to complete the diagnosis of breast masses based on the relatively hard properties of breast masses and adjacent tissues. It is more difficult to diagnose patients based on their clinical symptoms and signs, and it is easy to miss the diagnosis. Choosing the appropriate diagnostic method to confirm breast mass disease has become the first task for the diagnosis and treatment of breast mass. Ultrasound elastography is a new ultrasound examination method. It diagnoses the elasticity and hardness of breast masses by using corresponding characteristics. The imaging principle is to apply pressure to the tissue at the lesion site to determine its elasticity and hardness to identify the nature of the tumor. This article explores the clinical value of ultrasound elastography in the effective diagnosis of breast masses. Compared with the diagnosis results of ordinary ultrasound, the parameters such as the position, shape, size, boundary, internal echo, and rear echo of the focused mass were observed. Facts have proved that elastography can be used to make a qualitative differential diagnosis of benign and malignant breast masses from another angle according to the different characteristics of the hardness of the tissue being examined. It is non-invasive, non-radiative, low-cost, and easy for patients to accept. Provide valuable clinical diagnosis basis for early detection and treatment of breast masses.

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Whiteley, Jonathan P. "The Solution of Inverse Non-Linear Elasticity Problems That Arise When Locating Breast Tumours." Journal of Theoretical Medicine 6, no. 3 (2005): 143–49. http://dx.doi.org/10.1080/10273660500148606.

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Non-linear elasticity theory may be used to calculate the coordinates of a deformed body when the coordinates of the undeformed, stress-free body are known. In some situations, such as one of the steps in the location of tumours in a breast, the coordinates of the deformed body are known and the coordinates of the undeformed body are to be calculated, i.e. we require the solution of the inverse problem. Other than for situations where classical linear elasticity theory may be applied, the simple approach for solving the inverse problem of reversing the direction of gravity and modelling the deformed body as an undeformed body does not give the correct solution. In this study, we derive equations that may be used to solve inverse problems. The solution of these equations may be used for a wide range of inverse problems in non-linear elasticity.

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Gubarkova, Ekaterina V., Aleksander A. Sovetsky, Lev A. Matveev, Aleksander L. Matveyev, Dmitry A. Vorontsov, Anton A. Plekhanov, Sergey S. Kuznetsov, et al. "Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues." Materials 15, no. 9 (May 5, 2022): 3308. http://dx.doi.org/10.3390/ma15093308.

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Soft biological tissues, breast cancer tissues in particular, often manifest pronounced nonlinear elasticity, i.e., strong dependence of their Young’s modulus on the applied stress. We showed that compression optical coherence elastography (C-OCE) is a promising tool enabling the evaluation of nonlinear properties in addition to the conventionally discussed Young’s modulus in order to improve diagnostic accuracy of elastographic examination of tumorous tissues. The aim of this study was to reveal and quantify variations in stiffness for various breast tissue components depending on the applied pressure. We discussed nonlinear elastic properties of different breast cancer samples excised from 50 patients during breast-conserving surgery. Significant differences were found among various subtypes of tumorous and nontumorous breast tissues in terms of the initial Young’s modulus (estimated for stress < 1 kPa) and the nonlinearity parameter determining the rate of stiffness increase with increasing stress. However, Young’s modulus alone or the nonlinearity parameter alone may be insufficient to differentiate some malignant breast tissue subtypes from benign. For instance, benign fibrous stroma and fibrous stroma with isolated individual cancer cells or small agglomerates of cancer cells do not yet exhibit significant difference in the Young’s modulus. Nevertheless, they can be clearly singled out by their nonlinearity parameter, which is the main novelty of the proposed OCE-based discrimination of various breast tissue subtypes. This ability of OCE is very important for finding a clean resection boundary. Overall, morphological segmentation of OCE images accounting for both linear and nonlinear elastic parameters strongly enhances the correspondence with the histological slices and radically improves the diagnostic possibilities of C-OCE for a reliable clinical outcome.

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Lee, Na-Rang, Hoon-Kyu Oh, and Young-Ju Jeong. "Clinical Significance of Ultrasound Elastography and Fibrotic Focus and Their Association in Breast Cancer." Journal of Clinical Medicine 11, no. 24 (December 15, 2022): 7435. http://dx.doi.org/10.3390/jcm11247435.

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(1) Background: Ultrasound (US) elastography is an imaging technology that reveals tissue stiffness. This study aimed to investigate whether fibrotic focus (FF) affects elastographic findings in breast cancer, and to evaluate the clinical significance of US elastography and FF in breast cancer. (2) Methods: In this study, 151 patients with breast cancer who underwent surgery were included. Strain elastography was performed and an elasticity scoring system was used to assess the findings. The elasticity scores were classified as negative, equivocal, or positive. FF was evaluated in the surgical specimens. Medical records were reviewed for all patients. (3) Results: Elastographic findings were equivocal in 30 patients (19.9%) and positive in 121 patients (80.1%). FF was present in 68 patients (46.9%). There was no correlation between elastographic findings and FF. Older age, larger tumor size, lymph node metastasis, and higher tumor stage were associated with positive elastographic results. FF showed a positive correlation with age, postmenopausal status, tumor size, lymphovascular invasion, lymph node metastasis, tumor stage, and intratumoral and peritumoral inflammation. (4) Conclusions: Our study showed that positive elastographic results and FF were associated with poor prognostic factors for breast cancer. FF did not affect the elastographic findings of this study.

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Durhan, Gamze, Pelin Seher Öztekin, Hatice Ünverdi, Tülin Değirmenci, Abdullah Durhan, Jale Karakaya, Pınar Nercis Koşar, Enver Necip Köseoğlu, and Sema Hücümenoğlu. "Do Histopathological Features and Microcalcification Affect the Elasticity of Breast Cancer?" Journal of Ultrasound in Medicine 36, no. 6 (February 27, 2017): 1101–8. http://dx.doi.org/10.7863/ultra.16.06064.

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Destounis, Stamatia, Andrea Arieno, Renee Morgan, Philip Murphy, Posy Seifert, Patricia Somerville, and Wende Young. "Clinical Experience With Elasticity Imaging in a Community-Based Breast Center." Journal of Ultrasound in Medicine 32, no. 2 (February 2013): 297–302. http://dx.doi.org/10.7863/jum.2013.32.2.297.

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Someya, Tomoko, Rie Mukai, Noriko Tsukamoto, Ikuko Uzawa, Kanae Yuba, Saori Tsurugi, Nobue Kawauchi, Emiko Morishita, and Hiroko Tsunoda. "Differences in Breast Lesion Elasticity Score Between Screening and Recall Examinations." Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening) 26, no. 1 (2017): 85–92. http://dx.doi.org/10.3804/jjabcs.26.85.

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Xiao, Y., Y. Yu, L. Niu, M. Qian, Z. Deng, W. Qiu, and H. Zheng. "Quantitative evaluation of peripheral tissue elasticity for ultrasound-detected breast lesions." Clinical Radiology 71, no. 9 (September 2016): 896–904. http://dx.doi.org/10.1016/j.crad.2016.06.104.

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Miwa, Takashi, and Yoshiki Yamakoshi. "Simulator for Application of Shear Wave Velocity Measurement System to Arbitrary Tissue Elasticity Distribution." Key Engineering Materials 497 (December 2011): 161–68. http://dx.doi.org/10.4028/www.scientific.net/kem.497.161.

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Local shear wave velocity measurements are effective to obtain tissue elasticity map. We have proposed novel wave number spectrum based shear wave velocity measurement system. However, the accuracy and resolution of this technique should be optimized and sophisticated in future clinical application for breast cancer diagnosis. We propose a simulator of RF signal in shear wave velocity measurement system which can consider arbitrary shear wave propagation. We demonstrate the usefulness of this simulator by experimental result. Moreover, accuracy and resolution of small object is discussed for breast cancer application.

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Jari, Irina, Alexandru Naum, Liliana Gheorghe Moisii, Cipriana Stefanescu, Dragos Negru, Manuela Ursaru, Bogdan Mihnea Ciuntu, and Daniel Timofte. "Comparative Study by Analytical Multidisciplinary Methods and Oxidative Stress in Breast Cancer Diagnosis." Revista de Chimie 69, no. 8 (September 15, 2018): 2254–59. http://dx.doi.org/10.37358/rc.18.8.6511.

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To evaluate the diagnostic performance of mammography, elastography and breast magnetic resonance imaging (MRI), as tools for breast cancer diagnosis, against pathological diagnosis as the gold standard. Other risk factors such as obesity and oxidative stress are also disccused. In this comparison study, a total of 169 female patients (mean age 51 years, range 35-77 years) were enrolled between January 2016 and June 2017. After the physical examination of the breasts, patients were further randomized into three groups to mammography, elastography, or breast MRI. Only women with detected lesions classified into breast imaging and reporting data system (BI-RADS) category or Tsukuba elasticity score from 2 to 5 were included. Histopathology was used as the gold standard for diagnosis. The diagnostic performance of each modality was calculated. Of a total of 50 pathologically confirmed cancers, 25 were detected by mammography, 11 by elastography, and 14 by breast MRI, which resulted in sensitivities of 84% (PPV = 78%), 75% (PPV = 64%) and 86% (PPV = 75%), respectively. Mammography, elastography, and breast MRI led to 6, 5, and 4 false positive findings, which resulted in specificities of 86% (NPV = 90%), 87% (NPV = 92%) and 89% (NPV = 94%), respectively. The area under the curve (AUC) values for the mammography, elastography and breast MRI were 0.849 (95% CI, 0.758-0.939), 0.809 (95% CI, 0.670-0.948) and 0.876 (95% CI, 0.769-0.983). The DOR values were 32 (95% CI, 8-125), 20 (95% CI, 4-99) and 51 (95% CI, 8-315). The breast MRI proved a slight advantage over mammography as a diagnostic tool in breast cancer diagnosis.

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Miller, Caroline, Jennifer H. Jordan, Alexandra Thomas, Giselle Meléndez, and Jared A. Weis. "Abstract 482: Assessing myocardial stiffness changes in a non-human primate anthracycline-induced cardiotoxicity model utilizing a biomechanical elasticity imaging methodology." Cancer Research 82, no. 12_Supplement (June 15, 2022): 482. http://dx.doi.org/10.1158/1538-7445.am2022-482.

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Abstract Scope: Anthracyclines are a routine regimen for adjuvant therapy of breast cancer, but pose dose-dependent cardiotoxicity risks. With breast cancer diagnoses trending younger, there is a critical need for accurate non-invasive methods for assessing early cardiac degradation for mitigating cardiotoxicity due to cancer therapies. Methods: We developed a biomechanical model-based elasticity imaging method (BEIM) for assessing direct, functional mechanical stiffness of the left ventricle (LV) to indicate early cardiac degradation1. In this study, we examined the use of BEIM in a cohort of 5 African Green monkeys (AGM) receiving human equivalent doses of doxorubicin (cumulative dose: 240mg/m2) over 10 weeks. Cardiac magnetic resonance (CMR) imaging was acquired before and 15 weeks after final doxorubicin dose. Mechanical elasticity was estimated throughout the mid-plane of the LV utilizing BEIM. After necropsy, histopathology with picrosirius red of the matching LV mid-plane was conducted at 15 weeks after the final doxorubicin dose to calculate collagen volume fraction (CVF) indicative of anthracycline-associated cardiac fibrosis. Archival, age-and gender-matched LVs from healthy, chemotherapy naïve AGM were used as histopathological controls. Results: Two-dimensional circumferential, radial, and shear elasticity maps of the mid-plane of the LV indicate substantial changes in mechanical elasticity between baseline and 15 weeks post-doxorubicin CMR acquisitions. Average global change between baseline and post-doxorubicin image acquisitions in circumferential, radial, and shear modulus were 4.8, 5.7, and 5.2-fold increases respectively, with an average 1.9-fold change of CVF. Global circumferential, radial, and shear modulus values at baseline and 15 weeks post-doxorubicin were compared to CVF values for each subject and indicate a very strong correlation between circumferential, radial, and shear modulus with CVF, represented by Pearson’s correlation coefficients of 0.91, 0.92, and 0.89, respectively. Conclusions: We developed BEIM to assess changes in LV mechanical elasticity utilizing routine CMR imaging data with a goal of non-invasively identifying cardiac stiffening associated with cardiotoxicity. To validate our methodology, we utilized CMR data from an AGM model of anthracycline-induced cardiotoxicity to estimate changes in LV elasticity and compare to CVF values from histopathology. Our results show an increase in both CVFs and mechanical elasticity between baseline and 15 weeks following the last doxorubicin dose. Elasticity measures exhibit a very strong correlation with histopathological assessment of cardiac fibrosis. Results demonstrate the ability of our BEIM to identify changes in elasticity related to increased collagen deposition from anthracycline-induced cardiotoxicity. Citation Format: Caroline Miller, Jennifer H. Jordan, Alexandra Thomas, Giselle Meléndez, Jared A. Weis. Assessing myocardial stiffness changes in a non-human primate anthracycline-induced cardiotoxicity model utilizing a biomechanical elasticity imaging methodology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 482.

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Hall, Matthew S., Farid Alisafaei, Ehsan Ban, Xinzeng Feng, Chung-Yuen Hui, Vivek B. Shenoy, and Mingming Wu. "Fibrous nonlinear elasticity enables positive mechanical feedback between cells and ECMs." Proceedings of the National Academy of Sciences 113, no. 49 (November 21, 2016): 14043–48. http://dx.doi.org/10.1073/pnas.1613058113.

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In native states, animal cells of many types are supported by a fibrous network that forms the main structural component of the ECM. Mechanical interactions between cells and the 3D ECM critically regulate cell function, including growth and migration. However, the physical mechanism that governs the cell interaction with fibrous 3D ECM is still not known. In this article, we present single-cell traction force measurements using breast tumor cells embedded within 3D collagen matrices. We recreate the breast tumor mechanical environment by controlling the microstructure and density of type I collagen matrices. Our results reveal a positive mechanical feedback loop: cells pulling on collagen locally align and stiffen the matrix, and stiffer matrices, in return, promote greater cell force generation and a stiffer cell body. Furthermore, cell force transmission distance increases with the degree of strain-induced fiber alignment and stiffening of the collagen matrices. These findings highlight the importance of the nonlinear elasticity of fibrous matrices in regulating cell–ECM interactions within a 3D context, and the cell force regulation principle that we uncover may contribute to the rapid mechanical tissue stiffening occurring in many diseases, including cancer and fibrosis.

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Barr, Richard G., and Amanda E. Lackey. "The Utility of the "Bull's-Eye" Artifact on Breast Elasticity Imaging in Reducing Breast Lesion Biopsy Rate." Ultrasound Quarterly 27, no. 3 (September 2011): 151–55. http://dx.doi.org/10.1097/ruq.0b013e31822a9c75.

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&NA;. "The Utility of the “Bull’s-Eye” Artifact on Breast Elasticity Imaging in Reducing Breast Lesion Biopsy Rate." Ultrasound Quarterly 28, no. 1 (March 2012): 54. http://dx.doi.org/10.1097/01.ruq.0000413029.47772.96.

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Youk, Ji Hyun, Eun Ju Son, Kyunghwa Han, Hye Mi Gweon, and Jeong-Ah Kim. "Performance of shear-wave elastography for breast masses using different region-of-interest (ROI) settings." Acta Radiologica 59, no. 7 (October 23, 2017): 789–97. http://dx.doi.org/10.1177/0284185117735562.

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Background Various size and shape of region of interest (ROI) can be applied for shear-wave elastography (SWE). Purpose To investigate the diagnostic performance of SWE according to ROI settings for breast masses. Material and Methods To measure elasticity for 142 lesions, ROIs were set as follows: circular ROIs 1 mm (ROI-1), 2 mm (ROI-2), and 3 mm (ROI-3) in diameter placed over the stiffest part of the mass; freehand ROIs drawn by tracing the border of mass (ROI-M) and the area of peritumoral increased stiffness (ROI-MR); and circular ROIs placed within the mass (ROI-C) and to encompass the area of peritumoral increased stiffness (ROI-CR). Mean (Emean), maximum (Emax), and standard deviation (ESD) of elasticity values and their areas under the receiver operating characteristic (ROC) curve (AUCs) for diagnostic performance were compared. Results Means of Emean and ESD significantly differed between ROI-1, ROI-2, and ROI-3 ( P < 0.0001), whereas means of Emax did not ( P = 0.50). For ESD, ROI-1 (0.874) showed a lower AUC than ROI-2 (0.964) and ROI-3 (0.975) ( P < 0.002). The mean ESD was significantly different between ROI-M and ROI-MR and between ROI-C and ROI-CR ( P < 0.0001). The AUCs of ESD in ROI-M and ROI-C were significantly lower than in ROI-MR ( P = 0.041 and 0.015) and ROI-CR ( P = 0.007 and 0.004). Conclusion Shear-wave elasticity values and their diagnostic performance vary based on ROI settings and elasticity indices. Emax is recommended for the ROIs over the stiffest part of mass and an ROI encompassing the peritumoral area of increased stiffness is recommended for elastic heterogeneity of mass.

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Wang, Yuqi, Haidy G. Nasief, Sarah Kohn, Andy Milkowski, Tom Clary, Stephen Barnes, Paul E. Barbone, and Timothy J. Hall. "Three-dimensional Ultrasound Elasticity Imaging on an Automated Breast Volume Scanning System." Ultrasonic Imaging 39, no. 6 (June 6, 2017): 369–92. http://dx.doi.org/10.1177/0161734617712238.

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Pellot-Barakat, Claire, Mallika Sridhar, Karen Lindfors, and Michael Insana. "Ultrasonic Elasticity Imaging as a Tool for Breast Cancer Diagnosis and Research." Current Medical Imaging Reviews 2, no. 1 (February 1, 2006): 157–64. http://dx.doi.org/10.2174/157340506775541631.

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Journal articles on the topic 'Breast elasticity'

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