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  1. Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease

    Introduction

    Benign breast disease (BBD) and high mammographic breast density (MBD) are prevalent and independent risk factors for invasive breast...

    Maeve Mullooly, Shaoqi Fan, ... Gretchen L. Gierach in Breast Cancer Research
    Article Open access 26 March 2024
  2. Associations of stem cell markers CD44, CD24 and ALDH1A1 with mammographic breast density in women with benign breast biopsies

    Background

    We examined associations of CD44, CD24 and ALDH1A1 breast stem cell markers with mammographic breast density (MBD), a well-established...

    Lusine Yaghjyan, Yu**g J. Heng, ... Rulla M. Tamimi in British Journal of Cancer
    Article 07 June 2024
  3. Benign breast disease and breast cancer risk in African women: a case–control study

    Purpose

    To examine the association between benign breast disease (BBD) and breast cancer (BC) in a heterogeneous population of African women.

    ...
    Olasubomi J. Omoleye, **cong Q. Freeman, ... Dezheng Huo in Cancer Causes & Control
    Article 05 January 2024
  4. Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion remover

    Background

    The wide heterogeneity in the appearance of breast lesions and normal breast structures can confuse computerized detection algorithms. Our...

    Juhun Lee, Robert M. Nishikawa in Breast Cancer Research
    Article Open access 01 February 2024
  5. Hybrid high-definition microvessel imaging/shear wave elastography improves breast lesion characterization

    Background

    Low specificity in current breast imaging modalities leads to increased unnecessary follow-ups and biopsies. The purpose of this study is...

    Juanjuan Gu, Redouane Ternifi, ... Azra Alizad in Breast Cancer Research
    Article Open access 05 March 2022
  6. Determining the Differentiation of Benign and Malignant NME Lesions in Contrast-Enhanced Spectral Mammography Images Based on Convolutional Neural Networks

    Purpose

    Contrast-enhanced spectral mammography (CESM) shows the contents of breast tissue with appropriate sensitivity, which include benign and...

    Ali Achak, Mohammadreza Hedyehzadeh in Journal of Medical and Biological Engineering
    Article 04 September 2023
  7. Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study

    Background

    Patients with a Breast Imaging Reporting and Data System (BI-RADS) 4 mammogram are currently recommended for biopsy. However, 70–80% of the...

    Chang Liu, Min Sun, ... Shandong Wu in Breast Cancer Research
    Article Open access 24 May 2024
  8. Mammary collagen architecture and its association with mammographic density and lesion severity among women undergoing image-guided breast biopsy

    Background

    Elevated mammographic breast density is a strong breast cancer risk factor with poorly understood etiology. Increased deposition of...

    Clara Bodelon, Maeve Mullooly, ... Gretchen L. Gierach in Breast Cancer Research
    Article Open access 09 November 2021
  9. Using a combination of superb microvascular imaging and other auxiliary ultrasound techniques to increase the accuracy of gray-scale ultrasound for breast masses

    Background

    Breast ultrasound is highly sensitive, but its specificity is not as high for detecting malignant lesions. Auxiliary modalities like...

    Mahboubeh Abedi, Leyla Sahebi, ... Shirin Shahsavarhaghighi in BMC Cancer
    Article Open access 16 February 2024
  10. Somatic mutations in benign breast disease tissues and association with breast cancer risk

    Background

    Benign breast disease (BBD) is a risk factor for breast cancer (BC); however, little is known about the genetic alterations present at the...

    Stacey J. Winham, Chen Wang, ... Julie M. Cunningham in BMC Medical Genomics
    Article Open access 14 July 2021
  11. Quantitative characterization of breast lesions and normal fibroglandular tissue using compartmentalized diffusion-weighted model: comparison of intravoxel incoherent motion and restriction spectrum imaging

    Background

    To compare the compartmentalized diffusion-weighted models, intravoxel incoherent motion (IVIM) and restriction spectrum imaging (RSI), in...

    Litong He, Yan** Qin, ... Tao Ai in Breast Cancer Research
    Article Open access 24 April 2024
  12. Infiltrating immune cells in benign breast disease and risk of subsequent invasive breast cancer

    Background

    It is well established that tumors are antigenic and can induce an immune response by the host, entailing lymphocytic infiltration of the...

    Thomas E. Rohan, Rhonda Arthur, ... Roberto Salgado in Breast Cancer Research
    Article Open access 30 January 2021
  13. Stromal lymphocytes are associated with upgrade of B3 breast lesions

    Various histopathological, clinical and imaging parameters have been evaluated to identify a subset of women diagnosed with lesions with uncertain...

    Tan**a Kader, Elena Provenzano, ... Kylie L. Gorringe in Breast Cancer Research
    Article Open access 08 July 2024
  14. Diagnostic Performances of ADC Value in Diffusion-Weighted MR Imaging for Differential Diagnosis of Breast Lesions in 1.5 T: A Systematic Review and Meta-analysis

    Purpose

    Medical technology has gone a long way in diagnosis and characterization of breast tumors. Diffusion-weighted MR imaging is the state of the...

    Winniecia Dkhar, Rajagopal Kadavigere, ... S Sharath in Journal of Medical and Biological Engineering
    Article Open access 21 September 2023
  15. Development and validation of a model and nomogram for breast cancer diagnosis based on quantitative analysis of serum disease-specific haptoglobin N-glycosylation

    Background

    A better diagnostic marker is in need to distinguish breast cancer from suspicious breast lesions. The abnormal glycosylation of...

    Linrong Li, Yali Xu, ... Yidong Zhou in Journal of Translational Medicine
    Article Open access 04 April 2024
  16. Diagnostic accuracy of a three-protein signature in women with suspicious breast lesions: a multicenter prospective trial

    Background

    Mammography screening has been proven to detect breast cancer at an early stage and reduce mortality; however, it has low accuracy in young...

    Eun-Shin Lee, Yumi Kim, ... Hyeong-Gon Moon in Breast Cancer Research
    Article Open access 14 February 2023
  17. Collagen fiber features and COL1A1: are they associated with elastic parameters in breast lesions, and can COL1A1 predict axillary lymph node metastasis?

    Background

    This study aimed to explore whether collagen fiber features and collagen type I alpha 1 (COL1A1) are related to the stiffness of breast...

    Ying Jiang, Bo Wang, ... Zhi Li Wang in BMC Cancer
    Article Open access 21 September 2022
  18. Volumetric imaging and morphometric analysis of breast tumor angiogenesis using a new contrast-free ultrasound technique: a feasibility study

    Background

    There is a strong correlation between the morphological features of new tumor vessels and malignancy. However, angiogenic heterogeneity...

    Juanjuan Gu, Redouane Ternifi, ... Azra Alizad in Breast Cancer Research
    Article Open access 30 November 2022
  19. The impact of mammographic screening on the subsequent breast cancer risk associated with biopsy-proven benign breast disease

    Data on the risk of breast cancer following a benign breast disease (BBD) diagnosis were derived predominantly from populations of women biopsied...

    Francisco Beca, Hannah Oh, ... Stuart J. Schnitt in npj Breast Cancer
    Article Open access 05 March 2021
  20. BraNet: a mobil application for breast image classification based on deep learning algorithms

    Mobile health apps are widely used for breast cancer detection using artificial intelligence algorithms, providing radiologists with second opinions...

    Yuliana Jiménez-Gaona, María José Rodríguez Álvarez, ... Vasudevan Lakshminarayanan in Medical & Biological Engineering & Computing
    Article Open access 02 May 2024
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