A5101730884- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Digital Radiography and Breast Imaging
- AI in cancer detection
- Advanced Radiotherapy Techniques
- Lung Cancer Diagnosis and Treatment
- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- MRI in cancer diagnosis
- Breast Cancer Treatment Studies
- Colorectal Cancer Screening and Detection
- Radiopharmaceutical Chemistry and Applications
- Health disparities and outcomes
- Radiology practices and education
- COVID-19 and Mental Health
- Radiation Therapy and Dosimetry
- Work-Family Balance Challenges
- Flexible and Reconfigurable Manufacturing Systems
- Cardiac Imaging and Diagnostics
- Gastric Cancer Management and Outcomes
- Medical Imaging and Analysis
- Abdominal Surgery and Complications
- Medical Image Segmentation Techniques
European Institute of Oncology
2014-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2019-2025
University of Catania
2024
Ripamonti
2016-2023
University of Milan
2014-2017
<b>Objective</b> To estimate the cumulative radiation exposure and lifetime attributable risk of cancer incidence associated with lung screening using annual low dose computed tomography (CT). <b>Design</b> Secondary analysis data from a trial risk-benefit analysis. <b>Setting</b> 10 year, non-randomised, single centre, CT, (COSMOS study) which took place in Milan, Italy 2004-15 (enrolment 2004-05). Secondary 2015-16. <b>Participants</b> High asymptomatic smokers aged 50...
This study aims to evaluate the Average Glandular Dose (AGD) and diagnostic performance of CEM versus Digital Mammography (DM) as well DM plus one-view Breast Tomosynthesis (DBT), which were performed in same patients at short intervals time. A preventive screening examination high-risk asymptomatic between 2020 2022 was with two-view projections (Cranio Caudal Medio Lateral) one (DBT) projection (mediolateral oblique, MLO) a single session examination. For all whom we found suspicious...
Abstract Purpose To assess the noise characteristics of new adaptive statistical iterative reconstruction (ASiR‐V) in comparison to ASiR. Methods A water phantom was acquired with common clinical scanning parameters, at five different levels CTDI vol . Images were reconstructed kernels (STD, SOFT, and BONE), IR (40%, 60%, 100%) slice thickness (ST) (0.625 2.5 mm), both for ASiR‐V Noise properties investigated power spectrum (NPS) evaluated. Results significantly reduced relative FBP:...
Computed tomography scans are widely used in everyday medical practice due to speed, image reliability, and detectability of a wide range pathologies. Each scan exposes the patient radiation dose, performing fast estimation effective dose (E) is an important step for radiological safety. The aim this work estimate E from CT acquisition parameters absence dose-tracking software exploiting machine learning. In total, 69,037 acquisitions were collected with (DTS) available at our institution....
Radiomics investigates the predictive role of quantitative parameters calculated from radiological images. In oncology, tumour segmentation constitutes a crucial step radiomic workflow. Manual is time-consuming and prone to inter-observer variability. this study, state-of-the-art deep-learning network for automatic (nnU-Net) was applied computed tomography images lung patients, its impact on performance survival models assessed. total, 899 patients were included, two proprietary one public...
The study aimed to evaluate the performance of radiomics features and one ultrasound CAD (computer-aided diagnosis) in prediction malignancy a breast lesion detected with develop nomogram incorporating radiomic score available information on performance, conventional Breast Imaging Reporting Data System evaluation (BI-RADS), clinical information. 365 lesions referred for US subsequent histologic analysis between January 2020 March 2022 were retrospectively collected. Patients randomly...
We aimed to investigate the association between radiomic features of contrast-enhanced spectral mammography (CESM) images and a specific receptor pattern breast neoplasms. In this single-center retrospective study, we selected patients with neoplastic lesions who underwent CESM before biopsy surgical assessment January 2013 February 2022. Radiomic analysis was performed on regions interest from recombined images. The each evaluated endpoint (ER, PR, Ki-67, HER2+, triple negative, G2-G3...
The aim is to present the technical feasibility and efficacy of multiple re-irradiation (re-EBRT) for local recurrence prostate cancer (PCa) using retrospective analysis an updated series patients who received ablative re-EBRT with stereotactic image-guided technique isolated PCa. Eight three RT courses (2 re-RTs); those 2 4 (3 re-RTs). Local relapse in was assessed by multiparametric magnetic resonance and/ or choline positron emission tomography. Before treatment planning, all had been...
Abstract Background Breast cancer (BC) is the most common malignancy in women and second cause of death. In recent years, there has been a strong development artificial intelligence (AI) applications medical imaging for several tasks. Our aim was to evaluate potential transfer learning with convolutional neural networks (CNNs) discriminating suspicious breast lesions on ultrasound images. Methods Transfer performances five different CNNs (Inception V3, Xception, Densenet121, VGG 16,...