A5062716858- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced MRI Techniques and Applications
- Advanced X-ray and CT Imaging
- Microbial Inactivation Methods
- Medical Imaging Techniques and Applications
- AI in cancer detection
- COVID-19 diagnosis using AI
- Colorectal Cancer Surgical Treatments
- Microfluidic and Bio-sensing Technologies
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Advanced Neuroimaging Techniques and Applications
- Pancreatic and Hepatic Oncology Research
- Lung Cancer Diagnosis and Treatment
- Digital Radiography and Breast Imaging
- Radiation Dose and Imaging
- Radiology practices and education
- Head and Neck Cancer Studies
- Colorectal and Anal Carcinomas
- Liver Disease Diagnosis and Treatment
- Ultrasound in Clinical Applications
- Renal cell carcinoma treatment
- Toxin Mechanisms and Immunotoxins
- COVID-19 Clinical Research Studies
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale"
2015-2025
IGEA Clinical Biophysics (Italy)
2020-2024
Società Italiana di Reumatologia
2022-2024
Interventi Geo Ambientali (Italy)
2016-2024
University of Messina
2022
Medica (Italy)
2022
GTx (United States)
2018
Università degli studi di Cassino e del Lazio Meridionale
2017
Istituti di Ricovero e Cura a Carattere Scientifico
2017
University of Campania "Luigi Vanvitelli"
2014
Purpose: To assess the association of RAS mutation status and radiomics-derived data by Contrast Enhanced-Magnetic Resonance Imaging (CE-MRI) in liver metastases. Materials Methods: 76 patients (36 women 40 men; 59 years mean age 36–80 as range) were included this retrospective study. Texture metrics parameters based on lesion morphology calculated. Per-patient univariate multivariate analysis made. Wilcoxon-Mann-Whitney U test, receiver operating characteristic (ROC) analysis, pattern...
To evaluate radiomics features in order to: differentiate malignant versus benign lesions; predict low moderate and high grading; identify positive or negative hormone receptors; discriminate human epidermal growth factor receptor 2 related to breast cancer.A total of 182 patients with known lesions that underwent Contrast-Enhanced Mammography were enrolled this retrospective study. The reference standard was pathology (118 64 lesions). A 837 textural metrics extracted by manually segmenting...
We aimed to assess the efficacy of radiomic features extracted by computed tomography (CT) in predicting histopathological outcomes following liver resection colorectal metastases patients, evaluating recurrence, mutational status, characteristics (mucinous), and surgical margin. This retrospectively approved study included a training set an external validation set. The internal 49 patients with median age 60 years 119 metastases. cohort consisted 28 single metastasis 61 years. Radiomic were...
To assess the feasibility and effectiveness of quantitative intravoxel incoherent motion (IVIM) Diffusion-weighted imaging (DWI) in assessment liver metastases treated with targeted chemotherapy agents.12 patients unresectable from colorectal cancer were enrolled received neoadjuvant FOLFIRI (5-fluorouracil, leucovorin, irinotecan) plus bevacizumab therapy. DWI was performed for 36 at baseline after 14 days starting treatment. In addition to basic IVIM metrics, product between...
Background and Purpose. Contrast media (CM) for magnetic resonance imaging (MRI) may determine the development of acute adverse reactions. Objective was to retrospectively assess frequency severity reactions associated with gadolinium-based contrast agents (GBCAs) injection in patients who underwent MRI. Material Methods. At our center 10608 MRI examinations CM were performed using five different GBCAs: Gd-BOPTA (MultiHance), Gd-DTPA (Magnevist), Gd-EOBDTPA (Primovist), Gd-DOTA (Dotarem),...
// Vincenza Granata 1 , Roberta Fusco Orlando Catalano Benedetta Guarino Francesco 2 Fabiana Tatangelo 3 Antonio Avallone 4 Mauro Piccirillo 5 Raffaele Palaia Izzo Antonella Petrillo Department of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale – di Napoli", Naples, I-80131, Italy Civil and Mechanical Engineering, "Università degli Studi Cassino e del Lazio Meridionale", 03043, Departement Pathology, Gastrointestinal Oncology, Hepatobiliary Surgical Correspondence to: Fusco,...
Imaging is an essential tool in the management of patients with Colorectal cancer (CRC) by helping evaluate number and sites metastases, determine resectability, assess response to treatment, detect drug toxicities recurrences. Although multidetector computed tomography (MDCT) first used for staging patient's surveillance, magnetic resonance imaging (MRI) most reliable modality that allows liver metastases. Our purpose compare diagnostic performance gadoxetic acid-(Gd-EOB) enhanced MRI...
Abstract Objective To evaluate by means of regression models the relationships between baseline clinical and laboratory data lung involvement on chest CT to quantify thoracic disease using an artificial intelligence tool a visual scoring system predict prognosis in patients with COVID-19 pneumonia. Materials methods This study included 103 (41 women 62 men; 68.8 years mean age—range, 29–93 years) suspicious viral infection evaluated reverse transcription real-time fluorescence polymerase...
Purpose: To assess the efficacy of radiomics features obtained by computed tomography (CT) examination as biomarkers in order to select patients with lung adenocarcinoma who would benefit from immunotherapy. Methods: Seventy-four (median age 63 years, range 42–86 years) histologically confirmed cancer underwent immunotherapy first- or second-line therapy and had baseline CT studies were enrolled this approved retrospective study. As a control group, we selected 50 66 36–86 2005 2013...
Abstract Background Radiomics is an emerging field and has a keen interest, especially in the oncology field. The process of radiomics study consists lesion segmentation, feature extraction, consistency analysis features, selection, model building. Manual segmentation one most critical parts radiomics. It can be time-consuming suffers from variability tumor delineation, which leads to reproducibility problem calculating parameters assessing spatial heterogeneity, particularly large or...