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Faculty of Medicine and Health: Recent submissions

    • Patients are a vital voice for the future of telehealth. 

      Isautier, Jennifer M J; McCaffery, Kirsten; Sydney Health Literacy Lab COVID-19 Group
      Published 2021
      Article
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    • Intraoperative digital breast tomosynthesis using a dedicated device is more accurate than standard intraoperative mammography for identifying positive margins 

      Garlaschi, A; Fregatti, P; Oddone, C; Houssami, Nehmat; Calabrese, M; Tagliafico, A.S
      Published 2019
      AIM To compare a standard intra-operative mammography (IM) device with digital breast tomosynthesis using a dedicated device (Mozart system) in the evaluation of surgical margins at first excision. MATERIALS AND METHODS The ...
      Article
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    • Two-view digital breast tomosynthesis versus digital mammography in a population-based breast cancer screening programme (To-Be): a randomised, controlled trial 

      Hofvind, Solveig; Holen, Asne S; Aase, Hildegunn S; Houssami, Nehmat; Sebuodegard, Sofie; Moger, Tron A; Haldorsen, Ingrid S; Akslen, Lars A
      Published 2019
      Digital breast tomosynthesis is an advancement of mammography, and has the potential to overcome limitations of standard digital mammography. This study aimed to compare first-generation digital breast tomo-synthesis ...
      Article
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    • Breast Cancer 

      Harbeck, Nadia; Penault-Llorca, Frederique; Cortes, Javier; Gnant, Michael; Houssami, Nehmat; Poortmans, Philip; Ruddy, Kathryn; Tsang, Janice; Cardoso, Fatima
      Published 2019
      Breast cancer is the most frequent malignancy in women worldwide and is curable in ~70–80% of patients with early-stage, non-metastatic disease. Advanced breast cancer with distant organ metastases is considered incurable ...
      Article
      View
    • Breast cancer Ki-67 expression prediction by digital breast tomosynthesis radiomics features 

      Tagliafico, Alberto S; Bignotti, Bianca; Rossi, Federica; Matos, Joao; Calabrese, Massimo; Valdora, Francesca; Houssami, Nehmat
      Published 2019
      The aim of this paper was to investigate whether quantitative radiomic features extracted from digital breast tomosynthesis (DBT) are associated with Ki-67 expression of breast cancer. This was a prospective ethically ...
      Open Access
      Article
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