A5044164466- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- AI in cancer detection
- Advanced Neuroimaging Techniques and Applications
- ECG Monitoring and Analysis
- Digital Radiography and Breast Imaging
- Medical Imaging Techniques and Applications
- Colorectal Cancer Surgical Treatments
- Heart Rate Variability and Autonomic Control
- EEG and Brain-Computer Interfaces
- Advanced X-ray and CT Imaging
- Non-Invasive Vital Sign Monitoring
- Scoliosis diagnosis and treatment
- Medical Imaging and Analysis
- Lung Cancer Diagnosis and Treatment
- Human-Animal Interaction Studies
- Neonatal and fetal brain pathology
- Spine and Intervertebral Disc Pathology
- Colorectal Cancer Screening and Detection
- Breast Lesions and Carcinomas
- Prostate Cancer Diagnosis and Treatment
- Radiology practices and education
- Botulinum Toxin and Related Neurological Disorders
- Functional Brain Connectivity Studies
Innovation Engineering (Italy)
2024
University of Salento
2024
University of Naples Federico II
2015-2024
University of Campania "Luigi Vanvitelli"
2024
Federico II University Hospital
2006-2022
Ingegneria dei Trasporti (Italy)
2002-2018
Information Technology University
2013
In this study, we investigated the discrimination power of short-term heart rate variability (HRV) for discriminating normal subjects versus chronic failure (CHF) patients. We analyzed 1914.40 h ECG 83 patients which 54 are and 29 suffering from CHF with New York Heart Association (NYHA) classification I, II, III, extracted by public databases. Following guidelines, performed time frequency analysis in order to measure HRV features. To assess features, designed a classifier based on...
Abstract In Europe, multiple waves of infections with SARS-CoV-2 (COVID-19) have been observed. Here, we investigated whether common patterns cytokines could be detected in individuals mild and severe forms COVID-19 two pandemic waves, machine learning approach useful to identify the best predictors. An increasing trend was observed patients or severe/critical symptoms COVID-19, compared healthy volunteers. Linear Discriminant Analysis (LDA) clearly recognized three groups based on cytokine...
breast cancer (BC) is the world's most prevalent in female population, with 2.3 million new cases diagnosed worldwide 2020. The great efforts made to set screening campaigns, early detection programs, and increasingly targeted treatments led significant improvement patients' survival. Full-Field Digital Mammograph (FFDM) considered gold standard method for diagnosis of BC. From several previous studies, it has emerged that density (BD) a risk factor development BC, affecting periodicity...
Background: Despite great technical advances in imaging, such as multidetector computed tomography and magnetic resonance imaging (MRI), diagnosing pancreatic solid lesions correctly remains challenging, due to overlapping features with benign lesions. We wanted evaluate functional MRI differentiate tumors, peritumoral inflammatory tissue, normal parenchyma by means of dynamic contrast-enhanced (DCE-MRI)-, diffusion kurtosis (DKI)-, intravoxel incoherent motion model (IVIM)...
The aim of the study was to estimate diagnostic accuracy textural features extracted by dual-energy contrast-enhanced mammography (CEM) images, carrying out univariate and multivariate statistical analyses including artificial intelligence approaches. In total, 80 patients with known breast lesion were enrolled in this prospective according regulations issued local Institutional Review Board. All underwent CEM examination both craniocaudally (CC) double acquisition mediolateral oblique (MLO)...
Low-grade chronic inflammation (LGCI) is a common feature of non-communicable diseases. Cytokines play crucial role in LGCI. This study aimed to assess how LGCI risk factors [e.g., age, body mass index (BMI), smoke, physical activity, and diet] may impact on specific cytokine levels healthy population. In total, 150 volunteers were recruited subjected questionnaires about the last 7-day lifestyle, including smoking habit, food frequency. A panel circulating cytokines, chemokines, growth was...
Radiology is an essential tool in the management of a patient. The aim this manuscript was to build structured report (SR) Mammography based Breast Cancer.A working team 16 experts (group A) composed create SR for Cancer. A further group 4 B), blinded activities A, assess quality and clinical usefulness final draft. Modified Delphi process used level agreement all sections. Cronbach's alpha (Cα) correlation coefficient internal consistency measure analysis according average inter-item...
The purpose of our study was to evaluate the diagnostic value an imaging protocol combining dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted (DW-MRI) in patients with suspicious breast lesions.A total 31 lesions (15 malignant 16 benign proved by histological examination) 26 female were included this study. For both DCE-MRI DW-MRI model free based parameters computed pixel on manually segmented ROIs. Statistical procedures conventional linear analysis more advanced techniques...
Abstract Background Pectoral muscle removal is a fundamental preliminary step in computer-aided diagnosis systems for full-field digital mammography (FFDM). Currently, two open-source publicly available packages (LIBRA and OpenBreast) provide algorithms pectoral within Matlab environment. Purpose To compare performance of the on single database FFDM images. Methods Only mediolateral oblique (MLO) was considered because large presence this type projection. For obtaining ground truth, has been...
To evaluate MRI for neoadjuvant therapy response assessment in locally advanced rectal cancer (LARC) using dynamic contrast enhanced-MRI (DCE-MRI) and diffusion weighted imaging (DWI), we have compared magnetic resonance volumetry based on DCE-MRI (V(DCE)) DWI (V(DWI)) scans with conventional T2-weighted (V(C)) LARC patients after therapy. Twenty-nine underwent MR examination before A manual segmentation was performed DCE-MR postcontrast images, (b-value 800 s/mm(2)), images by two...