F
Francesco Monetti
Researcher at University of Sydney
Publications - 10
Citations - 508
Francesco Monetti is an academic researcher from University of Sydney. The author has contributed to research in topics: Tomosynthesis & Mammography. The author has an hindex of 8, co-authored 10 publications receiving 448 citations.
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Journal ArticleDOI
Adjunct Screening With Tomosynthesis or Ultrasound in Women With Mammography-Negative Dense Breasts: Interim Report of a Prospective Comparative Trial
Alberto Tagliafico,Massimo Calabrese,Giovanna Mariscotti,Manuela Durando,Simona Tosto,Francesco Monetti,Sonia Airaldi,Bianca Bignotti,Jacopo Nori,Antonella Bagni,Alessio Signori,M P Sormani,Nehmat Houssami +12 more
TL;DR: The Adjunct Screening With Tomosynthesis or Ultrasound in Women With Mammography-Negative Dense Breasts' interim analysis shows that ultrasound has better incremental BC detection than tomosynthesis in mammography-negative dense breasts at a similar FP-recall rate.
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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.
Journal ArticleDOI
One-to-one comparison between digital spot compression view and digital breast tomosynthesis.
Alberto Tagliafico,Davide Astengo,F. Cavagnetto,Raffaella Rosasco,Giuseppe Rescinito,Francesco Monetti,Massimo Calabrese +6 more
TL;DR: In recalls without calcification, DBT was at least equally accurate as DSCVs, and has the potential to help reduce the recall rate.
Journal ArticleDOI
Mammographic density estimation: one-to-one comparison of digital mammography and digital breast tomosynthesis using fully automated software.
Alberto Tagliafico,Giulio Tagliafico,Davide Astengo,F. Cavagnetto,Raffaella Rosasco,Giuseppe Rescinito,Francesco Monetti,Massimo Calabrese +7 more
TL;DR: Breast density appeared to be significantly underestimated on digital breast tomosynthesis, and automated estimation is more accurate than BI-RADS quantitative evaluation.
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Diffusion tensor magnetic resonance imaging of the normal breast: reproducibility of DTI-derived fractional anisotropy and apparent diffusion coefficient at 3.0 T.
Alberto Tagliafico,Giuseppe Rescinito,Francesco Monetti,Alessandro Villa,Fabio Chiesa,Erica Fisci,Daniele Pace,Massimo Calabrese +7 more
TL;DR: ADC and FA measurements obtained with DTI are reproducible and may be valid, reliable and sensitive to change.