User profiles for Simone Maurea
 | Simone MaureaVerified email at unina.it Cited by 4472 |
Imaging of adrenal tumors using FDG PET: comparison of benign and malignant lesions.
S Maurea, C Mainolfi, L Bazzicalupo… - … American journal of …, 1999 - Am Roentgen Ray Soc
OBJECTIVE: The aim of this study was to differentiate benign from malignant adrenal tumors
using positron emission tomography (PET) with 18F-fluorodeoxyglucose (FDG) in patients …
using positron emission tomography (PET) with 18F-fluorodeoxyglucose (FDG) in patients …
Detection of colo-rectal liver metastases: prospective comparison of contrast enhanced US, multidetector CT, PET/CT, and 1.5 Tesla MR with extracellular and reticulo …
Background To compare contrast-enhanced US (CE-US), multidetector-CT (MDCT), 1.5 Tesla
MR with extra-cellular (Gd-enhanced) and intracellular (SPIO-enhanced) contrast agents …
MR with extra-cellular (Gd-enhanced) and intracellular (SPIO-enhanced) contrast agents …
Sonographic hepatic-renal ratio as indicator of hepatic steatosis: comparison with 1H magnetic resonance spectroscopy
…, C Medagli, M Cremone, G Clemente, S Maurea… - Metabolism, 2009 - Elsevier
The aim of this study was to determine the diagnostic performance of ultrasound (US) in the
quantitative assessment of steatosis by comparison with proton magnetic resonance …
quantitative assessment of steatosis by comparison with proton magnetic resonance …
[HTML][HTML] Assessment and prediction of response to neoadjuvant chemotherapy in breast cancer: A comparison of imaging modalities and future perspectives
Simple Summary Nowadays patients affected by locally advanced breast cancer and
particular subtypes of early breast cancer may benefit from neoadjuvant chemotherapy (NAC) …
particular subtypes of early breast cancer may benefit from neoadjuvant chemotherapy (NAC) …
Cross-sectional evaluation of transmural healing in patients with Crohn's disease on maintenance treatment with anti-TNF alpha agents
…, A Testa, N Imperatore, GD De Palma, S Maurea… - Digestive and Liver …, 2017 - Elsevier
Background Transmural healing (TH) of Crohn’s disease (CD) is a still unexplored and
interesting outcome correlated to concept of deep remission. Aim To assess the rate of TH in CD …
interesting outcome correlated to concept of deep remission. Aim To assess the rate of TH in CD …
Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa
…, M D'Armiento, A Brunetti, S Maurea - Magnetic resonance …, 2019 - Elsevier
Purpose To evaluate whether a machine learning (ML) analysis employing MRI-derived
texture analysis (TA) features could be useful in assessing the presence of placenta accreta …
texture analysis (TA) features could be useful in assessing the presence of placenta accreta …
[HTML][HTML] Radiomics and machine learning applications in rectal cancer: current update and future perspectives
…, F Boccadifuoco, PP Mainenti, S Maurea - World Journal of …, 2021 - ncbi.nlm.nih.gov
The high incidence of rectal cancer in both sexes makes it one of the most common tumors,
with significant morbidity and mortality rates. To define the best treatment option and …
with significant morbidity and mortality rates. To define the best treatment option and …
Deep myometrial infiltration of endometrial cancer on MRI: a radiomics-powered machine learning pilot study
Rationale and Objectives To evaluate an MRI radiomics-powered machine learning (ML)
model's performance for the identification of deep myometrial invasion (DMI) in endometrial …
model's performance for the identification of deep myometrial invasion (DMI) in endometrial …
[HTML][HTML] Oncologic imaging and radiomics: a walkthrough review of methodological challenges
Simple Summary Radiomics could increase the value of medical images for oncologic patients,
allowing for the identification of novel imaging biomarkers and building prediction models…
allowing for the identification of novel imaging biomarkers and building prediction models…
[HTML][HTML] Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions
…, MR Argenzio, AM Cascone, M Imbriaco, S Maurea… - European …, 2021 - Springer
Objectives We aimed to assess the performance of radiomics and machine learning (ML) for
classification of non-cystic benign and malignant breast lesions on ultrasound images, …
classification of non-cystic benign and malignant breast lesions on ultrasound images, …