Search Results - "M. Luke Marinovich"

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  1. 1

    The Association of Surgical Margins and Local Recurrence in Women with Early-Stage Invasive Breast Cancer Treated with Breast-Conserving Therapy: A Meta-Analysis by Houssami, Nehmat, Macaskill, Petra, Luke Marinovich, M., Morrow, Monica

    Published in Annals of surgical oncology (01-03-2014)
    “…Purpose There is no consensus on what constitutes adequate negative margins in breast-conserving therapy (BCT). We systematically review the evidence on…”
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    Journal Article
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    Breast Cancer Screening Using Tomosynthesis or Mammography: A Meta-analysis of Cancer Detection and Recall by Marinovich, M Luke, Hunter, Kylie E, Macaskill, Petra, Houssami, Nehmat

    “…Tomosynthesis approximates a 3D mammogram of the breast, reducing parenchymal overlap that masks cancers or creates false "lesions" on 2D mammography, and…”
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    Ductal Carcinoma in Situ at Core-Needle Biopsy: Meta-Analysis of Underestimation and Predictors of Invasive Breast Cancer by BRENNAN, Meagan E, TURNER, Robin M, CIATTO, Stefano, LUKE MARINOVICH, M, FRENCH, James R, MACASKILL, Petra, HOUSSAMI, Nehmat

    Published in Radiology (01-07-2011)
    “…To perform a meta-analysis to report pooled estimates for underestimation of invasive breast cancer (where core-needle biopsy [CNB] shows ductal carcinoma in…”
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  4. 4

    A systematic review of the impact of the COVID-19 pandemic on breast cancer screening and diagnosis by Li, Tong, Nickel, Brooke, Ngo, Preston, McFadden, Kathleen, Brennan, Meagan, Marinovich, M Luke, Houssami, Nehmat

    Published in Breast (Edinburgh) (01-02-2023)
    “…Breast cancer care has been affected by the COVID-19 pandemic. This systematic review aims to describe the observed pandemic-related changes in clinical and…”
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    The influence of birth outcomes and pregnancy complications on interpregnancy interval: a quantile regression analysis by Gebremedhin, Amanuel T., Regan, Annette K., Håberg, Siri E., Luke Marinovich, M., Tessema, Gizachew A., Pereira, Gavin

    Published in Annals of epidemiology (01-09-2023)
    “…To ascertain whether adverse pregnancy outcomes at first pregnancy influence subsequent interpregnancy intervals (IPIs) and whether the size of this effect…”
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    Rates of reoperation after breast conserving cancer surgery in Western Australia before and after publication of the SSO-ASTRO margins guideline by Marinovich, M. Luke, Saunders, Christobel M., Pereira, Gavin, Houssami, Nehmat

    Published in Breast (Edinburgh) (01-06-2023)
    “…A 2014 SSO-ASTRO guideline on surgical margins aimed to reduce unnecessary reoperation after breast conserving surgery (BCS). We investigate whether…”
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  7. 7

    Atypical ductal or lobular hyperplasia, lobular carcinoma in-situ, flat epithelial atypia, and future risk of developing breast cancer: Systematic review and meta-analysis by Baker, Jannah, Noguchi, Naomi, Marinovich, M Luke, Sprague, Brian L., Salisbury, Elizabeth, Houssami, Nehmat

    Published in Breast (Edinburgh) (01-12-2024)
    “…Biopsy-proven breast lesions such as atypical ductal hyperplasia (ADH) or atypical lobular hyperplasia (ALH), lobular carcinoma in situ (LCIS) and flat…”
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    Journal Article
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    Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection by Marinovich, M Luke, Wylie, Elizabeth, Lotter, William, Pearce, Alison, Carter, Stacy M, Lund, Helen, Waddell, Andrew, Kim, Jiye G, Pereira, Gavin F, Lee, Christoph I, Zackrisson, Sophia, Brennan, Meagan, Houssami, Nehmat

    Published in BMJ open (03-01-2022)
    “…IntroductionArtificial intelligence (AI) algorithms for interpreting mammograms have the potential to improve the effectiveness of population breast cancer…”
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  9. 9

    Women's views on using artificial intelligence in breast cancer screening: A review and qualitative study to guide breast screening services by Carter, Stacy M., Popic, Diana, Marinovich, M. Luke, Carolan, Lucy, Houssami, Nehmat

    Published in Breast (Edinburgh) (01-10-2024)
    “…As breast screening services move towards use of healthcare AI (HCAI) for screen reading, research on public views of HCAI can inform more person-centered…”
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    Effects of interpregnancy interval on pregnancy complications: protocol for systematic review and meta-analysis by Gebremedhin, Amanuel Tesfay, Regan, Annette K, Malacova, Eva, Marinovich, M Luke, Ball, Stephen, Foo, Damien, Pereira, Gavin

    Published in BMJ open (01-08-2018)
    “…IntroductionInterpregnancy interval (IPI) is the length of time between a birth and conception of the next pregnancy. Evidence suggests that both short and…”
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    Incidence of metastatic breast cancer in an Australian population-based cohort of women with non-metastatic breast cancer at diagnosis by Lord, Sarah J, Marinovich, M Luke, Patterson, Jillian A, Wilcken, Nicholas, Kiely, Belinda E, Gebski, Val, Crossing, Sally, Roder, David M, Gattellari, Melina, Houssami, Nehmat

    Published in Medical journal of Australia (18-06-2012)
    “…Objectives: To estimate the incidence of metastatic breast cancer (MBC) in Australian women with an initial diagnosis of non‐metastatic breast cancer. Design,…”
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    Differential detection by breast density for digital breast tomosynthesis versus digital mammography population screening: a systematic review and meta-analysis by Li, Tong, Houssami, Nehmat, Noguchi, Naomi, Zeng, Aileen, Marinovich, M. Luke

    Published in British journal of cancer (01-07-2022)
    “…Background We examined whether digital breast tomosynthesis (DBT) detects differentially in high- or low-density screens. Methods We searched six databases…”
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    The Association of Surgical Margins and Local Recurrence in Women with Ductal Carcinoma In Situ Treated with Breast-Conserving Therapy: A Meta-Analysis by Marinovich, M. Luke, Azizi, Lamiae, Macaskill, Petra, Irwig, Les, Morrow, Monica, Solin, Lawrence J., Houssami, Nehmat

    Published in Annals of surgical oncology (01-11-2016)
    “…Purpose There is no consensus on adequate negative margins in breast-conserving surgery (BCS) for ductal carcinoma in situ (DCIS). We systematically reviewed…”
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    Journal Article
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    Frequency and characteristics of errors by artificial intelligence (AI) in reading screening mammography: a systematic review by Zeng, Aileen, Houssami, Nehmat, Noguchi, Naomi, Nickel, Brooke, Marinovich, M. Luke

    Published in Breast cancer research and treatment (01-08-2024)
    “…Purpose Artificial intelligence (AI) for reading breast screening mammograms could potentially replace (some) human-reading and improve screening…”
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