A5033497235- Advanced Radiotherapy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Colorectal Cancer Surgical Treatments
- Radiation Therapy and Dosimetry
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Endometrial and Cervical Cancer Treatments
- Colorectal Cancer Screening and Detection
- Glioma Diagnosis and Treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- Lung Cancer Diagnosis and Treatment
- Colorectal and Anal Carcinomas
- Advances in Oncology and Radiotherapy
- Radiation Dose and Imaging
- Radiation Detection and Scintillator Technologies
- Atomic and Subatomic Physics Research
- Pancreatic and Hepatic Oncology Research
- Medical Imaging and Analysis
- Prostate Cancer Diagnosis and Treatment
- Radiation Effects and Dosimetry
- Musculoskeletal pain and rehabilitation
- Effects of Radiation Exposure
- Lanthanide and Transition Metal Complexes
ATS Sardegna (Italy)
2023-2025
Agostino Gemelli University Polyclinic
2017-2024
Istituti di Ricovero e Cura a Carattere Scientifico
2018-2024
Wolters Kluwer (Netherlands)
2023
Università Cattolica del Sacro Cuore
2017-2020
Azienda Sanitaria Unità Locale di Reggio Emilia
2019
Medical University of Vienna
2018
University of Milan
2015-2017
Fondazione IRCCS Istituto Nazionale dei Tumori
2016
Istituto Nazionale di Fisica Nucleare, Sezione di Milano
2016
The aim of this study was to evaluate the variation radiomics features, defined as "delta radiomics", in patients undergoing neoadjuvant radiochemotherapy (RCT) for rectal cancer treated with hybrid magnetic resonance (MR)-guided radiotherapy (MRgRT). delta features were then correlated clinical complete response (cCR) outcome, investigate their predictive power. A total 16 enrolled, and 5 (31%) showed cCR at restaging examinations. T2*/T1 MR images acquired a 0.35 T MRgRT unit considered...
Aim of this study was to develop a generalised radiomics model for predicting pathological complete response after neoadjuvant chemo-radiotherapy in locally advanced rectal cancer patients using pre-CRT T2-weighted images acquired at 1.5 T and 3 scanner.In two institutions, 195 were scanned: 136 scanned on MR scanner, 59 scanner. Gross tumour volumes delineated the 496 radiomic features extracted, applying intensity-based (IB) filter. Features standardised with Z-score normalisation an...
Magnetic Resonance-guided Radiation Therapy (MRgRT) allows online adaptations (OA) of the treatment plan to optimize daily dose distribution based on patient's anatomy, just before fraction delivery. The aim this study is evaluate feasibility and dosimetric improvement OA workflow implemented in our institution for locally advanced pancreatic cancer (LAPC) patients, terms target coverage organs at risk (OARs) sparing.We retrospectively analysed 8 LAPC patients treated with MRgRT combination...
The aim of this study is to investigate the role Delta Radiomics analysis in prediction one-year local control (1yLC) patients affected by locally advanced pancreatic cancer (LAPC) and treated using Magnetic Resonance guided Radiotherapy (MRgRT). A total 35 from two institutions were enrolled: 0.35 Tesla T2*/T1 MR image was acquired for each case during simulation on treatment fraction. Physical dose converted biologically effective (BED) compensate different radiotherapy schemes. performed...
Online adaptive radiation therapy (RT) using hybrid magnetic resonance linear accelerators (MR-Linacs) can administer a tailored dose at each treatment fraction. Daily MR imaging followed by organ and target segmentation adjustments allow to capture anatomical changes, improve volume coverage, reduce the risk of side effects. The introduction automatic techniques could help further online workflow shortening re-contouring time reducing intra- inter-observer variability. In fractionated RT,...
Abstract Objective. Gated beam delivery is the current clinical practice for respiratory motion compensation in MR-guided radiotherapy, and further research ongoing to implement tracking. To manage intra-fractional using multileaf collimator tracking total system latency needs be accounted real-time. In this study, long short-term memory (LSTM) networks were optimized prediction of superior–inferior tumor centroid positions extracted from clinically acquired 2D cine MRIs. Approach. We used...
PurposeManual recontouring of targets and Organs At Risk (OARs) is a time-consuming operator-dependent task. We explored the potential Generative Adversarial Networks (GAN) to auto-segment rectum, bladder femoral heads on 0.35T MRIs accelerate online MRI-guided-Radiotherapy (MRIgRT) workflow.Methods3D planning from 60 prostate cancer patients treated with MR-Linac were collected. A 3D GAN architecture its equivalent 2D version trained, validated tested 40, 10 respectively. The volumetric...
Purpose Distant metastases are currently the main cause of treatment failure in locally advanced rectal cancer (LARC) patients. The aim this research is to investigate a correlation between variation radiomics features using pre- and post-neoadjuvant chemoradiation (nCRT) magnetic resonance imaging (MRI) with 2 years distant metastasis (2yDM) rate LARC Methods Materials Diagnostic post- nCRT MRI patients, treated single institution from May 2008 June 2015 an adequate follow-up time, were...
Abstract Background Neoadjuvant chemoradiation therapy (nCRT) is the standard treatment modality in locally advanced rectal cancer (LARC). Since response to radiotherapy (RT) dose dependent cancer, escalation may lead higher complete rates. The possibility predict patients who will achieve (CR) fundamental. Recently, an early tumour regression index (ERI) was introduced pathological CR (pCR) after nCRT LARC patients. primary endpoints be increase of rate and evaluation feasibility delta...
Predicting pathological complete response (pCR) in patients affected by locally advanced rectal cancer (LARC) who undergo neoadjuvant chemoradiotherapy (nCRT) is a challenging field of investigation, but many the published models are burdened lack reliable external validation. Aim this study was to evaluate applicability magnetic resonance imaging (MRI) radiomic-based pCR model developed and validated Europe, different cohort from an intercontinental center.The original based on two clinical...