Correlation of Shear-Wave Elastography and Apparent Diffusion Coefficient Values in Breast Cancer and Their Relationship with the Prognostic Factors

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dc.contributor.authorOrguc S.
dc.contributor.authorAçar Ç.R.
dc.date.accessioned2024-07-22T08:03:45Z
dc.date.available2024-07-22T08:03:45Z
dc.date.issued2022
dc.description.abstractBackground: 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. © 2022 by the authors.
dc.identifier.DOI-ID10.3390/diagnostics12123021
dc.identifier.issn20754418
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/12427
dc.language.isoEnglish
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.rightsAll Open Access; Gold Open Access
dc.subjectKi 67 antigen
dc.subjectadult
dc.subjectaged
dc.subjectapocrine carcinoma of the breast
dc.subjectapparent diffusion coefficient
dc.subjectArticle
dc.subjectatypical ductal hyperplasia
dc.subjectbreast hyperplasia
dc.subjectbreast lesion
dc.subjectcancer prognosis
dc.subjectcontrast enhancement
dc.subjectcontrolled study
dc.subjectdiagnostic test accuracy study
dc.subjectdiffusion weighted imaging
dc.subjectductal breast carcinoma in situ
dc.subjectechomammography
dc.subjectelasticity
dc.subjectestrogen receptor positive breast cancer
dc.subjectexcisional biopsy
dc.subjectfat necrosis
dc.subjectfemale
dc.subjectfibroadenoma
dc.subjectfibrocystic breast disease
dc.subjectfluorescence in situ hybridization
dc.subjecthistopathology
dc.subjecthuman
dc.subjecthuman epidermal growth factor receptor 2 negative breast cancer
dc.subjecthuman epidermal growth factor receptor 2 positive breast cancer
dc.subjectinvasive ductal carcinoma
dc.subjectinvasive lobular breast carcinoma
dc.subjectluminal A breast cancer
dc.subjectluminal B breast cancer
dc.subjectmajor clinical study
dc.subjectmammography
dc.subjectmucinous carcinoma of the breast
dc.subjectphyllodes tumor
dc.subjectprediction
dc.subjectprogesterone receptor positive breast cancer
dc.subjectproliferation index
dc.subjectquantitative analysis
dc.subjectretrospective study
dc.subjectsensitivity and specificity
dc.subjectshear wave elastography
dc.subjecttriple negative breast cancer
dc.subjecttumor volume
dc.subjectyoung adult
dc.titleCorrelation of Shear-Wave Elastography and Apparent Diffusion Coefficient Values in Breast Cancer and Their Relationship with the Prognostic Factors
dc.typeArticle

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