The basics of ultrasound elastography for diagnosis, assessment, and staging breast cancer-related lymphedema: a systematic review of the literature

Forte, Antonio J.; Huayllani, María T.; Boczar, Daniel; Cinotto, Gabriela; Ciudad, Pedro; Manrique, Oscar J.; Lu, Xiaona

doi:10.21037/gs.2020.02.08

Cited by 13 publications

(18 citation statements)

References 21 publications

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“…Derived from ultrasonography, elastography has gained popularity in the last few years for breast cancer detection and classification; training is the most important factor regarding this technique [ 13 , 33 , 34 ]. This imaging technique can measure the stiffness of lesions by measuring the consistency and hardness of a structure, a fact that can differentiate a malign mass (greater stiffness) from a benign one [ 15 , 35 ].…”

Section: Resultsmentioning

confidence: 99%

Breast Cancer—How Can Imaging Help?

et al. 2022

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Breast cancer is the most common malignant disease among women, causing death and suffering worldwide. It is known that, for the improvement of the survival rate and the psychological impact it has on patients, early detection is crucial. For this to happen, the imaging techniques should be used at their full potential. We selected and examined 44 articles that had as subject the use of a specific imaging method in breast cancer management (mammography, ultrasound, MRI, ultrasound-guided biopsy, PET-CT). After analyzing their data, we summarized and concluded which are the best ways to use each one of the mentioned techniques for a good outcome. We created a simplified algorithm with easy steps that can be followed by radiologists when facing this type of neoplasia.

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Section: Resultsmentioning

confidence: 99%

Breast Cancer—How Can Imaging Help?

et al. 2022

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“…We analyzed data obtained from 140 healthy volunteers (74 men and 66 women) with a median age of 50 years (95% confidence interval (CI): 45.9-55). For women, the median The stiffness of the masseter muscle was measured with the Aixplorer Ultimate device (SuperSonic Imagine, Aix-en-Provence, France) using a high-frequency linear probe SL 18-5 (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18). The obtained measurements were validated using the elasticity QA Phantom model 049A (Computerized Imaging Reference Systems, Inc, Norfolk, VA, USA).…”

Section: Resultsmentioning

confidence: 99%

“…Regarding internal organs, the values for the liver and breasts have been well established for both healthy people and people presenting pathologic conditions [6,7]. In many diseases (e.g., breast cancer), SWE helps to make a diagnosis, determining the stage of the disease, and evaluating the response to treatment [8].…”

Section: Introductionmentioning

confidence: 99%

Determination of Reference Values of the Masseter Muscle Stiffness in Healthy Adults Using Shear Wave Elastography

Olchowy

Więckiewicz

Małysa

et al. 2021

IJERPH

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Shear wave elastography (SWE) is an objective and reliable method for the assessment of muscles and internal organs. Every organ exhibits its own stiffness characteristics and hence requires individual reference values. We aimed to determine the reference values of stiffness of the masseter muscle in healthy adult individuals using SWE. We analyzed the data of 140 participants (74 men, 66 women) with a median age of 50 years. The overall mean elasticity was 10.67 ± 1.77 kPa. The average values were lower by 2.25 kPa (9.15%) in women compared to men (9.48 ± 1.47 kPa vs. 11.73 ± 1.27 kPa; p < 0.0001). The values of stiffness increased with age, with a correlation coefficient of about 0.35 and a p < 0.0001. Age was a significant influencing factor of masseter muscle stiffness. The left and right masseters had similar stiffness. We conclude that stiffness values are significantly lower in women than in men with a difference of 9%. Age significantly influences the stiffness of masseter muscle, and the values of stiffness increase significantly with age, particularly in men. However, further studies are required to determine the precise ranges of stiffness accounting for age and sex in healthy subjects and people with disorders and conditions of the masticatory system.

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“…[7] Thus, ultrasound elastography, including strain elastography (SE) and (shear wave elastrography) SWE, provides a new method for the diagnosis of BC through extracting the information of tissue stiffness. [8] Neovascularization and microvessel density are closely related to the degree of malignancy, invasiveness, recurrence, metastasis and the prognosis of tumor patients. [9] Color Doppler flow imaging (CDFI) is often used to show the blood flow inside the tumor, but CDFI is not good for some low-velocity microvessels.…”

Section: Introductionmentioning

confidence: 99%

Which combination of different ultrasonography modalities is more appropriate to diagnose breast cancer?: A network meta-analysis (a PRISMA-compliant article)

Zhang¹,

Wu²

2022

Medicine

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Background: Abundant amount of literature that analyze the various detection of different ultrasound methods, no comprehensive literature that investigates the diagnostic values of breast cancer (BC) by different ultrasonography modalities through a network meta-analysis (NMA) has been made available. Each imaging diagnostic examination has its own advantages and disadvantages, and any imaging examination is not enough to make an accurate diagnosis of the disease. Thus, this study aimed to compare diagnostic values among different ultrasonography modalities, including the information of 2-dimension, stiffness and blood flow, by a network meta-analysis in the hopes of understanding which imaging methods are better and which combination of different ultrasonography modalities is more appropriate to diagnose BC.Methods: We made use of Cochrane Library, PubMed, and Embase in order to obtain literature and papers. The combination analysis of both direct and indirect evidence in terms of sensitivity, specificity, positive predictive value (PPV), negative predictive value(NPV) and accuracy was conducted so as to assess the odds ratios (ORs) and surface under the cumulative ranking curve (SUCRA) values of the 8 different ultrasound methods.Results: A total of 36 eligible diagnostic tests regarding 8 ultrasound methods were included in the study. According to this network meta-analysis, Breast Imaging Reporting and Data System (BI-RADS) 4b exhibited higher specificity, PPV, and accuracy and lower sensitivity and NPV than BI-RADS 4a. Contrast-enhanced ultrasound (CEUS) had the highest sensitivity, PPV, NPV and accuracy and superb microvascular imaging (SMI) had the highest specificity among color Doppler flow imaging (CDFI), power Doppler imaging(PDI), SMI and CEUS. There was no significant difference in diagnostic indexes between SMI and CEUS. Shear wave elastrography (SWE) had higher PPV and accuracy and lower sensitivity, specificity NPV than strain elastography (SE). Conclusion:The results of this network meta-analysis suggested more appropriate combination of different ultrasound modalities is BI-RADS 4b, SMI, and SWE for the diagnosis of breast cancer.Abbreviations: BI-RADS = Breast Imaging Reporting and Data System, BC = breast cancer, CDFI = color Doppler flow imaging, CEUS = contrast-enhanced ultrasound, CI = confidence intervals, NMA = network meta-analysis, NPV = negative predictive value, ORs = odds ratios, PDI = power Doppler imaging, PPV = positive predictive value, QUADAS = quality assessment of studies of diagnostic accuracy studies, SE = strain elastography, SMI = superb microvascular imaging, SUCRA = surface under the cumulative ranking curve, SWE = shear wave elastrography.

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The basics of ultrasound elastography for diagnosis, assessment, and staging breast cancer-related lymphedema: a systematic review of the literature

Cited by 13 publications

References 21 publications

Breast Cancer—How Can Imaging Help?

Breast Cancer—How Can Imaging Help?

Determination of Reference Values of the Masseter Muscle Stiffness in Healthy Adults Using Shear Wave Elastography

Which combination of different ultrasonography modalities is more appropriate to diagnose breast cancer?: A network meta-analysis (a PRISMA-compliant article)

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