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Background: Elastography (strain or shear-wave) is a method that estimates tissue stiffness.
Introduction: The aim of this study is to evaluate the quantitative and semi-quantitative ultrasound elastography methods for the diagnosis of BI-RADS 4a and BI-RADS 3 lesions, which are borderline for biopsy and follow-up.
Materials And Methods: 175 consecutive women with 193 ultrasound-visible breast lesions were classified on Conventional B-mode Ultrasonography (CUS) according to the BI-RADS scoring system. Quantitative and semiquantitative values from ultrasound elastography in the form of strain Elastography Ratio (SER), shear Wave Elastography (SWE) and Shear Wave Elastography Ratio (SWER) were obtained. The lesions categorized as BI-RADS 4a and BI-RADS 3 on ultrasound were subsequently re-categorized according to the elastography values.
Results: Except for the 13 BI-RADS 2 lesions, the remaining 180 lesions were biopsied. Pathology showed 83 lesions to be benign and 97 to be malignant. The sensitivity and specificity of the CUS were 96.9% and 75.0%, respectively with an accuracy of 86.0%. Cut-off points calculated based on ROC curves were 56.8 kPa for SWE, 3.53 for SWER and 3.81 for SER. When we downgraded BIRADS 4a lesions based on elastography results, the specificity (CUS+SER 96.9%, CUS+SWE 91.7%, and CUS+SWER 90.6%) and the accuracy (CUS+SER 95.3%, CUS+SWE 92.7%, and CUS+SWER 92.2%) were shown to be better than CUS. When we upgraded BI-RADS 3 lesions based on elastography results, the sensitivity of combined sets of SWE (99,0%) and SWER (100,0%) was better than CUS.
Conclusion: The rate of false-negative biopsies can be decreased with the combined use of elastography and ultrasonography.
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http://dx.doi.org/10.2174/1573405616666201231102606 | DOI Listing |
Int J Womens Health
December 2024
Department of Ultrasound Imaging, The First Affiliated Hospital of Wenzhou Medical University, WenZhou, ZheJiang, 325000, People's Republic of China.
Objective: To analyse the parameters of shear wave elastography (SWE) and contrast-enhanced ultrasound (CEUS) in breast non-mass-like lesions (NMLs) and to evaluate the added diagnostic value of SWE and CEUS when combined with B-mode ultrasound (US) for differentiating NMLs.
Methods: A total of 118 NMLs from 115 patients underwent US, SWE, and CEUS examinations. The SWE parameter with the highest areas under the receiver operating characteristic (ROC) curves (Az) and independent variables of CEUS obtained by logistic regression were used to adjust the BI-RADS-US (Breast Imaging Reporting and Data System for Ultrasound) classification.
Background: Breast density is a strong predictor of breast cancer. However, the difference in risk between breast density categories C and D remains inadequately explored. Given the low occurrence of extremely dense breasts, this investigation is crucial because it may lead to modifications in screening techniques for those with these conditions.
View Article and Find Full Text PDFAcad Radiol
December 2024
Department of Radiology, Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Istanbul, Türkiye (Y.K., S.H.K., S.A.K., R.H., M.H.Y.).
Rationale And Objectives: The study aimed to evaluate demographic and radiological characteristics of breast incidentalomas found on 18-fluorodeoxyglucose Positron Emission Tomography-Computed Tomography (F-FDG PET-CT) performed for extramammary indications.
Materials And Methods: A total of 12633 F-FDG PET-CT scans performed between January 1, 2018 and January 1, 2024, were retrospectively reviewed. Breast incidentalomas that had undergone breast imaging, tissue diagnosis, or at least 2-year radiological follow-up were included.
Quant Imaging Med Surg
December 2024
Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Background: Under the Breast Imaging Reporting and Data System (BI-RADS), category 4 lesions have a high probability of malignancy. This study sought to investigate the efficacy of a model that combined the BI-RADS score with the enhancement score and clinical indicators in the diagnosis of BI-RADS 4 lesions based on contrast-enhanced spectral mammography (CESM) in breast cancer patients.
Methods: The data of female patients with BI-RADS scores of 4 who underwent CESM at the Department of Medical Imaging of the Third Affiliated Hospital of Soochow University from January 2018 to July 2023 were retrospectively collected.
Quant Imaging Med Surg
December 2024
Department of Radiology, Shenzhen People's Hospital, Shenzhen, China.
Background: The classification of Breast Imaging Reporting and Data System (BI-RADS) category 4A lesions in mammography is complicated by subjective interpretations and unclear criteria, which can lead to potential misclassifications and unnecessary biopsies. Thus, more accurate assessment methods need to be developed. This study aimed to improve the classification prediction of BI-RADS 4A positive lesions in mammography by combining deep learning (DL) technology with relevant clinical factors.
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