New lens on breast health: harnessing high-b-value synthetic diffusion-weighted imaging for breast lesion characterization [0.03%]
乳腺健康的新视角：利用高b值合成弥散加权成像进行乳腺病变表征
Serap Karabiyik,Saime Ramadan,Emil Settarzade et al.
Serap Karabiyik et al.
Purpose: This study aims to evaluate the diagnostic efficacy of synthetic diffusion-weighted imaging (sDWI) at various high b-values in distinguishing malignant from benign breast lesions and to compare its performance wi...
Empowering breast cancer diagnosis and radiology practice: advances in artificial intelligence for contrast-enhanced mammography [0.03%]
人工智能在对比增强型乳腺X线摄影中的进展对乳腺癌诊断和放射学实践的提升
Ketki K Kinkar,Brandon K K Fields,Mary W Yamashita et al.
Ketki K Kinkar et al.
This makes CEM an excellent tool for widespread breast lesion characterization for all women, including underserved and minority women.
A Force-Matched Approach to Large-Strain Nonlinearity in Elasticity Imaging for Breast Lesion Characterization [0.03%]
一种匹配力度的大变形非线性弹性成像方法及其在乳腺病变表征中的应用研究
David P Rosen,Rohit Nayak,Yuqi Wang et al.
David P Rosen et al.
Objective: Ultrasound elasticity imaging is a class of ultrasound techniques with applications that include the detection of malignancy in breast lesions. Although elasticity imaging traditionally assumes linear elasticit...
Richard G Barr,Aaron Engel,Su Kim et al.
Richard G Barr et al.
Objectives: Two-dimensional shear wave elastography (SWE) has been limited in breast lesion characterization due to false-negative results from artifacts.
Ultrasound high-definition microvasculature imaging with novel quantitative biomarkers improves breast cancer detection accuracy [0.03%]
具有新型定量生物标志物的超声高清微血管影像可提高乳腺癌检测准确性
Redouane Ternifi,Yinong Wang,Juanjuan Gu et al.
Redouane Ternifi et al.
Conclusion: The addition of new quantitative HDMI biomarkers significantly improved the accuracy in breast lesion characterization when used as a complementary imaging tool to the conventional ultrasound.
Diagnostic Accuracy of Shear-Wave Elastography for Breast Lesion Characterization in Women: A Systematic Review and Meta-Analysis [0.03%]
剪切波弹性成像鉴别乳腺病变的诊断准确性：系统评价和 meta 分析
Aishwarya Pillai,Teja Voruganti,Richard Barr et al.
Aishwarya Pillai et al.
Purpose: The aim of this study was to assess the diagnostic accuracy of 2-D shear-wave elastography (SWE) for differentiating benign and malignant breast lesions in women with abnormal findings on mammography. ...
Hybrid high-definition microvessel imaging/shear wave elastography improves breast lesion characterization [0.03%]
混合高清微血管成像/剪切波弹性成像技术改善乳腺病变表征性能
Juanjuan Gu,Redouane Ternifi,Nicholas B Larson et al.
Juanjuan Gu et al.
Background: Low specificity in current breast imaging modalities leads to increased unnecessary follow-ups and biopsies. The purpose of this study is to evaluate the efficacy of combining the quantitative parameters of hi...
Contrast-enhanced digital mammography and magnetic resonance imaging: reproducibility compared to pathologic anatomy [0.03%]
对比增强数字乳腺摄影和磁共振成像：与病理解剖相比的可重复性研究
Alessandro Liguori,Catherine Depretto,Chiara Maura Ciniselli et al.
Alessandro Liguori et al.
Furthermore, the pattern of agreement between the investigated methods with regard to the breast lesion characterization (i.e. mass/nonmass; shape; margins; internal enhanced characteristics) was assessed by computing the Cohen kappa and its 95% confidence interval (CI).
Reader performances in breast lesion characterization via DBT: One or two views and which view? [0.03%]
数字乳腺断层合成中阅读者对病变特征的评价：单视图还是双视图？
Antonia Boisselier,Caroline Mandoul,Benjamin Monsonis et al.
Antonia Boisselier et al.
Purpose: To compare the performance in breast lesion characterization of one-view mediolateral (MLO) digital mammography plus digital breast tomosynthesis (DM-DBT) versus one-view craniocaudal (CC) DM-DBT versus two-view DM-DBT....Conclusion: Our results support the use of two-view DM-DBT for breast lesion characterization when the readers are inexperienced.
Randomized Controlled Trial
European journal of radiology. 2021 Sep:142:109880. DOI:10.1016/j.ejrad.2021.109880 2021
Spatially localized sparse representations for breast lesion characterization [0.03%]
用于乳腺病变特征分析的局部稀疏表示
Keni Zheng,Chelsea Harris,Predrag Bakic et al.
Keni Zheng et al.
Rationale: The topic of sparse representation of samples in high dimensional spaces has attracted growing interest during the past decade. In this work, we develop sparse representation-based methods for classification of...
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