Browsing by author "Houssami, Nehmat"
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48 Trends in stage-specific breast cancer incidence in new south wales, australia: insights from 25 years of screening mammography
Jacklyn, Gemma; McGeechan, Kevin; Irwig, Les; Houssami, Nehmat; Morrell, Stephen; Bell, Katy J.L.; Barratt, Alexandra LPublished 2018Screening mammography aims to improve breast cancer (BC) prognosis by increasing the incidence of early-stage tumours in order to decrease the incidence of late-stage cancer, but no reports have investigated these potential ...Conference paper -
69 Impact of full-field digital mammography versus film-screen mammography: systematic review
Farber, Rachel; Bell, Katy J.L.; Houssami, Nehmat; McGeechan, Kevin; Wortley, Sally; Marinovich, Michael; Barratt, Alexandra LPublished 2018Most breast screening programs worldwide have replaced screen-film mammography (SFM) with full-field digital mammography (FFDM) in expectation of technical, clinical and economic advantages. However, we are only just now ...Presentation -
81 Has the transition to digital mammography in breast cancer screening resulted in real benefits?
Farber, Rachel; Barratt, Alexandra L; Houssami, Nehmat; McGeechan, Kevin; Bell, Katy J.L.Published 2019Most breast screening programmes worldwide have replaced Screen-Film mammography (SFM) with Full-field Digital Mammography (FFDM). While FFDM provides significant technical and practical advantages over SFM in the provision ...Presentation -
Accuracy and reading time for six strategies using digital breast tomosynthesis in women with mammographically negative dense breasts
Tagliafico, Alberto S; Calabrese, Massimo; Bignotti, Bianca; Signori, Alessio; Fisci, Erica; Rossi, Federica; Valdora, Francesca; Houssami, NehmatPublished 2017The objective of this study was to compare six strategies using digital breast tomosynthesis in women with mammographically negative dense breasts. This is a substudy of the ‘ASTOUND’ trial. 163 women who underwent ...Article -
Accuracy of screening women at familial risk of breast cancer without a known gene mutation: Individual patient data meta-analysis.
Phi, Xuan-Anh; Houssami, Nehmat; Hooning, Maartje J.; Riedl, Christopher; Leach, Martin O; Sardanelli, Francesco; Warner, Ellen; Trop, Isabelle; Saadatmand, Sepideh; Tilanus-Linthorst, Madeleine M.A.; Helbich, Thomas H; van den Heuvel, Edwin R; Koning, Harry J; Obdeijn, Inge-Marie; de Bock, Geertruida H.Published 2017Women with a strong family history of breast cancer (BC) and without a known gene mutation have an increased risk of developing BC. We aimed to investigate the accuracy of screening using annual mammography with or without ...Article -
Adherence to prescribing restrictions for HER2-positive metastatic breast cancer in Australia: A national population-based observational study (2001-2016)
Daniels, Benjamin; Girosi, Federico; Tervonen, Hanna; Kiely, Belinda E; Lord, Sally J; Houssami, Nehmat; Pearson, Sallie-AnnePublished 2018Targeted cancer therapy is often complex, involving multiple agents and chemotherapeutic partners. In Australia, prescribing restrictions are put in place to reflect existing evidence of cost-effectiveness of these medicines. ...Open AccessArticle -
Adjunct Screening With Tomosynthesis or Ultrasound in Women With Mammography-Negative Dense Breasts: Interim Report of a Prospective Comparative Trial
Tagliafico, Alberto S; Calabrese, Massimo; Mariscotti, Giovanna; Durando, Manuela; Tosto, Simona; Monetti, Francesco; Airalda, Sonia; Bignotti, Bianca; Nori, Jacopo; Bagni, Antonella; Signori, Alessio; Sormani, Maria Pia; Houssami, NehmatPublished 2016Purpose Debate on adjunct screening in women with dense breasts has followed legislation requiring that women be informed about their mammographic density and related adjunct imaging. Ultrasound or tomosynthesis can detect ...Open AccessArticle -
Agreement between digital breast tomosynthesis and pathologic tumour size for staging breast cancer, and comparison with standard mammography.
Marinovich, Luke; Bernardi, Daniela; Macaskill, Petra; Ventriglia, Anna; Sabatino, Vincenzo; Houssami, NehmatPublished 2019Purpose: Tomosynthesis is proposed to improve breast cancer assessment and staging. We compared tomosynthesis and mammography in estimating the size of newly-diagnosed breast cancers. Methods: All pathologically-confirmed ...Article -
AI as a new paradigm for risk-based screening for breast cancer
Houssami, Nehmat; Kerlikowske, KarlaPublished 2022AI may represent a new tool in the risk assessment and screening pathway of breast cancer. To realise its potential, the effect of AI-supported decisions on relevant clinical outcomes must be prospectively evaluated.Article, Letter -
Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential for screening practice.
Houssami, Nehmat; Kirkpatric-Jones, Georgia; Noguchi, Naomi; Lee, Christoph IPublished 2019Various factors are driving interest in the application of artificial intelligence (AI) for breast cancer (BC) detection, but it is unclear whether the evidence warrants large-scale use in population-based screening. We ...Article -
Artificial intelligence (AI) in breast cancer care - Leveraging multidisciplinary skills to improve care
Cardoso, Maria Joao; Houssami, Nehmat; Pozzi, Giuseppe; Séroussi, BrigittePublished 2021Artificial Intelligence (AI) technologies supporting health professionals’ skills bring the promise of an era in which repetitive and time-intensive tasks in healthcare can be automated and performed (either entirely or ...Article, Letter -
Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection
Marinovich, M Luke; Wylie, Elizabeth Jane; 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, NehmatPublished 2022Introduction Artificial intelligence (AI) algorithms for interpreting mammograms have the potential to improve the effectiveness of population breast cancer screening programmes if they can detect cancers, including interval ...Article -
Artificial intelligence for breast cancer screening: Opportunity or hype?
Houssami, Nehmat; Lee, Christoph I; Buist, Diana S.M; Tao, DachengPublished 2017Interpretation of mammography for breast cancer (BC) screening can confer a mortality benefit through early BC detection, can miss a cancer that is present or fast growing, or can result in false-positives. Efforts to ...Article -
Artificial Intelligence-Driven Mammography-Based Future Breast Cancer Risk Prediction: A Systematic Review
Schopf, Cody; Ramwala, Ojas; Lowry, Kathryn; Hofvind, Solveig; Marinovich, Luke; Houssami, Nehmat; Elmore, Joann; Dontchos, Brian; Lee, Janie; Lee, ChristophPublished 2024The purpose of this review was to summarize the literature regarding the performance of mammography-image based artificial intelligence (AI) algorithms, with and without additional clinical data, for future breast cancer ...Article -
Assessment of screen-recalled abnormalities for digital breast tomosynthesis versus digital mammography screening in the BreastScreen Maroondah trial
Li, Tong; Lockie, Darren; Clemson, Michelle; Houssami, NehmatPublished 2022Introduction Australia's first population-based pilot trial comparing digital breast tomosynthesis (DBT) and digital mammography (DM) screening reported detection measures in 2019. This study describes the trial's secondary ...Article -
The Association of Surgical Margins and Local Recurrence in Women with Ductal Carcinoma In Situ Treated with Breast-Conserving Therapy: A Meta-Analysis.
Marinovich, Michael Luke; Azizi, Lamiae; Macaskill, Petra; Irwig, Les; Morrow, Monica; Solin, Lawrence J.; Houssami, NehmatPublished 2016Purpose: There is no consensus on adequate negative margins in breast-conserving surgery (BCS) for ductal carcinoma in situ (DCIS). We systematically reviewed the evidence on margins in BCS for DCIS. Methods: A study-level ...Article -
Australian General Practitioners’ Current Knowledge, Understanding, and Feelings Regarding Breast Density Information and Notification: A Cross-Sectional Study
Dolan, Hankiz; McCaffery, Kirsten; Houssami, Nehmat; Brennan, Meagan; Dorrington, Melanie; Cvejic, Erin; Hersch, Jolyn; Verde, Angela; Vaccaro, Lisa; Nickel, BrookePublished 2022Background: There is a lack of evidence around Australian general practitioners’ (GPs) views of issues surrounding breast density. The current study aimed to quantitatively assess GPs’ current knowledge, understanding, and ...Open AccessArticle -
Australian Women’s Intentions and Psychological Outcomes Related to Breast Density Notification and Information
Dolan, Hankiz; McCaffery, Kirsten; Houssami, Nehmat; Cvejic, Erin; Brennan, Meagan; Hersch, Jolyn; Dorrington, Melanie; Verde, Angela; Vaccaro, Lisa; Nickel, BrookePublished 2022Objective To assess the effect of mammographic breast density notification and information provision on women’s intention to seek supplemental screening and psychological outcomes. Design, Setting, and Participants A ...Open AccessArticle -
Australian Women’s Responses to Breast Density Information: A Content Analysis
Pandya, Tanvi; Liu, Zixuan; Dolan, Hankiz; Hersch, Jolyn; Brennan, Meagan; Houssami, Nehmat; Nickel, BrookePublished 2023Breast density (BD) is an independent risk factor for breast cancer and reduces mammographic sensitivity. This study explored women’s responses and intentions if notified that they had dense breasts. Methods: Content ...Article -
Bigger margins are not better in breast conserving surgery
Dixon, Michael J; Houssami, NehmatPublished 2012Letter to editor in response to Jeevan R, Cromwell DA, Trivella M, Lawrence G, Kearins O, Pereira J, et al. Reoperation rates after breast conserving surgery for breast cancer among women in England: retrospective study ...Article, Letter
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