Nehmat Houssami
University of Sydney
330 Papers
1.1K Citations
Nehmat Houssami is an academic researcher from University of Sydney. The author has contributed to research in topics: Breast cancer & Mammography. The author has an hindex of 65, co-authored 284 publications. Previous affiliations of Nehmat Houssami include Westmead Hospital & Royal Hospital for Women.
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Papers
Intraoperative breast specimen assessment in breast conserving surgery: comparison between standard mammography imaging and a remote radiological system.
Giovanna Mariscotti,Manuela Durando,Luca Jacopo Pavan,Alberto Tagliafico,Pier Paolo Campanino,Isabella Castellano,Riccardo Bussone,Ada Ala,Corrado De Sanctis,Laura Bergamasco,Paolo Fonio,Nehmat Houssami +11 more
TL;DR: The introduction of ISM in BCS significantly reduced surgical time but did not change IAE and re-intervention rates, highlighting facilitated communication between surgeons and radiologists.
Accuracy and underestimation of malignancy of breast core needle biopsy: the Florence experience of over 4000 consecutive biopsies.
Stefano Ciatto,Nehmat Houssami,D. Ambrogetti,Simonetta Bianchi,Rita Bonardi,Beniamino Brancato,Sandra Catarzi,Gabriella Risso +7 more
TL;DR: In this paper, the accuracy and underestimation of malignancy for both automated (14G) and directional vacuum-assisted (11G) core needle biopsy (CNB) performed under stereotactic or sonographic guidance were calculated.
Population screening and intensity of screening are associated with reduced breast cancer mortality: evidence of efficacy of mammography screening in Australia
David Roder,Nehmat Houssami,Gelareh Farshid,Grantley Gill,C. Luke,P. Downey,Kerri Beckmann,P. Iosifidis,L. Grieve,L. Williamson +9 more
TL;DR: Participation in screening was associated with a breast-cancer mortality reduction of between 30 and 41%, depending on assumptions about screening self-selection bias, and a downward mortality risk by recency of last screen prior to cancer diagnosis, and frequency of recent screening, is consistent with a screening effect.
A first evaluation of breast radiological density assessment by QUANTRA software as compared to visual classification.
Stefano Ciatto,Daniela Bernardi,Massimo Calabrese,Manuela Durando,Maria Gentilini,Giovanna Mariscotti,Francesco Monetti,Enrica Moriconi,Barbara Pesce,Antonella Roselli,Carmen Stevanin,Margherita Tapparelli,Nehmat Houssami +12 more
TL;DR: Computer assessed breast density is absolutely reproducible, and thus to be preferred to visual classification, and the best fitting cut off value observed for QUANTRA was ≤22.0%, which correctly predicted 88.6% of D1-2, 89.8%" of D3-4, and 89.0% of total cases.
Breast cancer screening with tomosynthesis (3D mammography) with acquired or synthetic 2D mammography compared with 2D mammography alone (STORM-2): a population-based prospective study
Daniela Bernardi,Petra Macaskill,Marco Pellegrini,Marvi Valentini,Carmine Fantò,Livio Ostillio,Paolina Tuttobene,A. Luparia,Nehmat Houssami +8 more
TL;DR: Integration of 3D mammography (2D-3D or 2D synthetic-3d) detected more cases of breast cancer than 2D Mammography alone, but increased the percentage of false-positive recalls.