Mauro Mattace Raso
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Explore the profile of Mauro Mattace Raso including associated specialties, affiliations and a list of published articles.
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Articles
15
Citations
175
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0
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Recent Articles
1.
Fusco R, Granata V, Setola S, Trovato P, Galdiero R, Mattace Raso M, et al.
Phys Med
. 2025 Jan;
130:104891.
PMID: 39787678
Purpose: To study the application of radiomics in cancer imaging with a focus on lung cancer, renal cell carcinoma, gastrointestinal cancer, and head and neck cancer. Methods: Different electronic databases...
2.
Petrillo A, Fusco R, Barretta M, Granata V, Mattace Raso M, Porto A, et al.
Radiol Med
. 2023 Oct;
128(11):1347-1371.
PMID: 37801198
Objective: The objective of the study was to evaluate the accuracy of radiomics features obtained by MR images to predict Breast Cancer Histological Outcome. Methods: A total of 217 patients...
3.
Simonetti I, Trovato P, Granata V, Picone C, Fusco R, Setola S, et al.
J Pers Med
. 2022 Jul;
12(7).
PMID: 35887530
Interval metastasis is a particular metastatic category of metastatic localizations in the lymph nodes in patients with melanoma. Interval nodes are generally located at nonregional lymphatic stations placed along the...
4.
Petrillo A, di Giacomo R, Esposito E, Vallone P, Setola S, Mattace Raso M, et al.
Eur Radiol Exp
. 2022 Jul;
6(1):28.
PMID: 35790602
Background: We retrospectively evaluated safety and performance of magnetic seed localisation of nonpalpable breast lesions. Methods: We reviewed records of patients with nonpalpable breast lesions preoperative localised by placing magnetic...
5.
Granata V, Fusco R, De Muzio F, Cutolo C, Mattace Raso M, Gabelloni M, et al.
Diagnostics (Basel)
. 2022 May;
12(5).
PMID: 35626271
To assess Radiomics and Machine Learning Analysis in Liver Colon and Rectal Cancer Metastases (CRLM) Growth Pattern, we evaluated, retrospectively, a training set of 51 patients with 121 liver metastases...
6.
Fusco R, Di Bernardo E, Piccirillo A, Rubulotta M, Petrosino T, Barretta M, et al.
Curr Oncol
. 2022 Mar;
29(3):1947-1966.
PMID: 35323359
:The purpose of this study was to discriminate between benign and malignant breast lesions through several classifiers using, as predictors, radiomic metrics extracted from CEM and DCE-MRI images. In order...
7.
Fusco R, Granata V, Mattace Raso M, Vallone P, De Rosa A, Siani C, et al.
Cancers (Basel)
. 2021 Jun;
13(10).
PMID: 34067721
Purpose: To combine blood oxygenation level dependent magnetic resonance imaging (BOLD-MRI), dynamic contrast enhanced MRI (DCE-MRI), and diffusion weighted MRI (DW-MRI) in differentiation of benign and malignant breast lesions. Methods:...
8.
Fusco R, Raiano N, Raiano C, Maio F, Vallone P, Mattace Raso M, et al.
Eur J Radiol
. 2020 Mar;
126:108912.
PMID: 32151787
Purpose: To quantitatively assess the dose of Dual energy contrast enhanced digital mammography (CEDM) and digital breast tomosynthesis (DBT) and to investigate the relationship between average absorbed glandular dose (AGD),...
9.
Petrillo A, Fusco R, Vallone P, Filice S, Granata V, Petrosino T, et al.
Breast J
. 2019 Dec;
26(5):860-872.
PMID: 31886607
To compare diagnostic performance of contrast-enhanced dual-energy digital mammography (CEDM) and digital breast tomosynthesis (DBT) alone and in combination compared to 2D digital mammography (MX) and dynamic contrast-enhanced MRI (DCE-MRI)...
10.
Petrillo A, Petrillo M, Fulciniti F, Mattace Raso M, Thomas R, Botti G, et al.
Breast J
. 2011 Jul;
17(5):525-7.
PMID: 21726349
No abstract available.