A5001551311- Radiomics and Machine Learning in Medical Imaging
- Head and Neck Cancer Studies
- Advanced Radiotherapy Techniques
- Lung Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Radiation Therapy and Dosimetry
- Oral health in cancer treatment
- Advanced X-ray and CT Imaging
- Cancer Diagnosis and Treatment
- Dysphagia Assessment and Management
- Radiation Dose and Imaging
- Radiopharmaceutical Chemistry and Applications
- Advances in Oncology and Radiotherapy
- Head and Neck Surgical Oncology
- Glioma Diagnosis and Treatment
- MRI in cancer diagnosis
- Lung Cancer Treatments and Mutations
- Hepatocellular Carcinoma Treatment and Prognosis
- Medical Image Segmentation Techniques
- Brain Metastases and Treatment
- Nutrition and Health in Aging
- Ear and Head Tumors
- Gastric Cancer Management and Outcomes
European Institute of Oncology
2013-2025
University of Milan
2017-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2018-2024
Ripamonti
2019-2024
The University of Texas MD Anderson Cancer Center
2017-2021
Technical University of Munich
2018
Radiation Oncology Associates
2018
Vall d'Hebron Hospital Universitari
2018
Fondazione Humanitas per la Ricerca
2017
To evaluate high-precision external beam reirradiation (re-EBRT) for local relapse of prostate cancer (PCa) after radiotherapy.
Radiomics is the high-throughput extraction of mineable and-possibly-reproducible quantitative imaging features from medical imaging. The aim this work to perform an unbiased bibliometric analysis on 10 years after first became available, highlight its status, pitfalls, and growing interest.Scopus database was used investigate all available English manuscripts about Radiomics. R Bibliometrix package for data analysis: a cumulative document categories, authors affiliations, country scientific...
Abstract Background Radiomics represents an emerging field of precision‐medicine. Its application in head and neck is still at the beginning. Methods Retrospective study about magnetic resonance imaging (MRI) based radiomics oral tongue squamous cell carcinoma (OTSCC) surgically treated (2010–2019; 79 patients). All preoperative MRIs include different sequences (T1, T2, DWI, ADC). Tumor volume was manually segmented exported to radiomic‐software, perform feature extraction. Statistically...
Radiomics leverages existing image datasets to provide non-visible data extraction via post-processing, with the aim of identifying prognostic, and predictive imaging features at a sub-region interest level. However, application radiomics is hampered by several challenges such as lack acquisition/analysis method standardization, impeding generalizability. As yet, remains intriguing, but not clinically validated. We aimed test feasibility non-custom-constructed platform for disseminating...
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...
Abstract Background Contouring of anatomical regions is a crucial step in the medical workflow and both time-consuming prone to intra- inter-observer variability. This study compares different strategies for automatic segmentation prostate T2-weighted MRIs. Methods included 100 patients diagnosed with adenocarcinoma who had undergone multi-parametric MRI prostatectomy. From MR images, ground truth masks were established by consensus from two expert radiologists. The was then automatically...
The work investigates the implementation of personalized radiotherapy boluses by means additive manufacturing technologies. Boluses materials that are currently used need an excessive amount human intervention which leads to reduced repeatability in terms dosimetry. Additive can solve this problem eliminating factor process fabrication. Planar with fixed geometry and printed starting from a computed tomography scan phantom were produced. First, dosimetric characterization study on planar...
The therapeutic potential of proton therapy (PT) was first recognized in 1946 by Robert Wilson, and nowadays, over 100 centers are operation worldwide, more than 60 under construction or planned. Bibliometric data can be used to perform a structured analysis large amounts scientific provide new insights, e.g., assess the growth development field identify research trends hot topics. aim this study is comprehensive bibliometric current status literature PT field.The on until 31st December 2022...
Purpose: Hippocampal sparing whole-brain radiotherapy (HS-WBRT) showed significantly lower long-term side effects compared to standard WBRT. Aim of this study is describe a HS-WBRT real-world monoinstitutional experience within retrospective cohort. Methods: Patients who completed course, with Karnofsky Performance Status ⩾ 60 and radiological diagnosis brain metastases (BMs) were enrolled. Treatment was performed using helical Tomotherapy scheduled in 30 Gy 10 or 12 fractions 25 fractions....
Aim: An Early-Stage Non-Small Cell Lung Cancer (ES-NSCLC) patient candidate for stereotactic body radiotherapy (SBRT) may start their treatment without a histopathological assessment, due to relevant comorbidities. The aim of this study is twofold: (i) build prognostic models test the association between CT-derived radiomic features (RFs) and outcomes interest (overall survival (OS), progression-free (PFS) loco-regional (LRPFS)); (ii) quantify whether combination clinical descriptors yields...
Introduction: Postoperative radiotherapy is recommended for all patients with cutaneous and non-cutaneous squamous cell carcinoma of the head neck in presence clinical incidental perineural infiltration. Perineural infiltration represents one most important adverse prognostic factors may impact negatively patient outcomes. While guidelines exist defining treatment volumes infiltration, there a notable gap literature regarding recommendations cases parotid involvement. Methods: A case...