Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2005 1
2007 1
2014 3
2019 1
2020 2
2021 1
2022 2
2024 0

Text availability

Article attribute

Article type

Publication date

Search Results

10 results

Results by year

Filters applied: . Clear all
Page 1
Prediction of Breast Cancer Histological Outcome by Radiomics and Artificial Intelligence Analysis in Contrast-Enhanced Mammography.
Petrillo A, Fusco R, Di Bernardo E, Petrosino T, Barretta ML, Porto A, Granata V, Di Bonito M, Fanizzi A, Massafra R, Petruzzellis N, Arezzo F, Boldrini L, La Forgia D. Petrillo A, et al. Among authors: petrosino t. Cancers (Basel). 2022 Apr 25;14(9):2132. doi: 10.3390/cancers14092132. Cancers (Basel). 2022. PMID: 35565261 Free PMC article.
Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions.
Fusco R, Di Bernardo E, Piccirillo A, Rubulotta MR, Petrosino T, Barretta ML, Mattace Raso M, Vallone P, Raiano C, Di Giacomo R, Siani C, Avino F, Scognamiglio G, Di Bonito M, Granata V, Petrillo A. Fusco R, et al. Among authors: petrosino t. Curr Oncol. 2022 Mar 13;29(3):1947-1966. doi: 10.3390/curroncol29030159. Curr Oncol. 2022. PMID: 35323359 Free PMC article.
Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography in the Breast Lesions Classification.
Fusco R, Piccirillo A, Sansone M, Granata V, Rubulotta MR, Petrosino T, Barretta ML, Vallone P, Di Giacomo R, Esposito E, Di Bonito M, Petrillo A. Fusco R, et al. Among authors: petrosino t. Diagnostics (Basel). 2021 Apr 30;11(5):815. doi: 10.3390/diagnostics11050815. Diagnostics (Basel). 2021. PMID: 33946333 Free PMC article.
Digital breast tomosynthesis and contrast-enhanced dual-energy digital mammography alone and in combination compared to 2D digital synthetized mammography and MR imaging in breast cancer detection and classification.
Petrillo A, Fusco R, Vallone P, Filice S, Granata V, Petrosino T, Rosaria Rubulotta M, Setola SV, Mattace Raso M, Maio F, Raiano C, Siani C, Di Bonito M, Botti G. Petrillo A, et al. Among authors: petrosino t. Breast J. 2020 May;26(5):860-872. doi: 10.1111/tbj.13739. Epub 2019 Dec 30. Breast J. 2020. PMID: 31886607
Evaluation of average glandular dose and investigation of the relationship with compressed breast thickness in dual energy contrast enhanced digital mammography and digital breast tomosynthesis.
Fusco R, Raiano N, Raiano C, Maio F, Vallone P, Mattace Raso M, Setola SV, Granata V, Rubulotta MR, Barretta ML, Petrosino T, Petrillo A. Fusco R, et al. Among authors: petrosino t. Eur J Radiol. 2020 May;126:108912. doi: 10.1016/j.ejrad.2020.108912. Epub 2020 Mar 3. Eur J Radiol. 2020. PMID: 32151787