A5018356682- Advanced Radiotherapy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Prostate Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Prostate Cancer Treatment and Research
- Advanced X-ray and CT Imaging
- Colorectal Cancer Surgical Treatments
- Radiation Therapy and Dosimetry
- Advanced MRI Techniques and Applications
- Head and Neck Cancer Studies
- Glioma Diagnosis and Treatment
- Brain Metastases and Treatment
- CNS Lymphoma Diagnosis and Treatment
- Endometrial and Cervical Cancer Treatments
- Pesticide and Herbicide Environmental Studies
- MRI in cancer diagnosis
- Urologic and reproductive health conditions
- Advances in Oncology and Radiotherapy
- Hepatocellular Carcinoma Treatment and Prognosis
- Genital Health and Disease
- Cervical Cancer and HPV Research
- Analytical chemistry methods development
- Pancreatic and Hepatic Oncology Research
- Medical Imaging and Analysis
- Air Quality Monitoring and Forecasting
Agostino Gemelli University Polyclinic
2018-2021
Università Cattolica del Sacro Cuore
2015-2020
Istituti di Ricovero e Cura a Carattere Scientifico
2018-2020
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...
Organs at risk (OARs) delineation is a crucial step of radiotherapy (RT) treatment planning workflow. Time-consuming and inter-observer variability are main issues in manual OAR delineation, mainly the head neck (H & N) district. Deep-learning based auto-segmentation promising strategy to improve OARs contouring departments. A comparison deep-learning-generated auto-contours (AC) with contours (MC) was performed by three expert radiation oncologists from single center.Planning computed...
Abstract Aims Reirradiation of prostate cancer (PC) local recurrences represents an emerging challenge for current radiotherapy. In this context, stereotactic body radiation therapy (SBRT) allows the delivery high doses, with curative intent. Magnetic Resonance guided Radiation Therapy (MRgRT) has shown promising results in terms safety, feasibility and efficacy delivering SBRT thanks to enhanced soft tissue contrast online adaptive workflow. This multicentric retrospective analysis...
Artificial Intelligence (AI) is revolutionising many aspects of radiotherapy (RT), opening scenarios that were unimaginable just a few years ago. The aim this study to propose Deep Leaning (DL) approach able quickly generate synthetic Computed Tomography (CT) images from low-dose Cone Beam CT (CBCT) acquired on modern linear accelerator integrating AI. Methods: A total 53 patients treated in the pelvic region enrolled and split into training (30), validation (9), testing (14). Generative...
Abstract Purpose Magnetic Resonance‐guided radiotherapy (MRgRT) systems allow continuous monitoring of therapy volumes during treatment delivery and personalized respiratory gating approaches. Treatment length may therefore be significantly affected by patient’s compliance breathing control. We quantitatively analyzed process time efficiency ( T E ) using data obtained from real‐world patient logs to optimize MRgRT settings. Methods Data corresponding the first 100 patients treated with a...
Background: Recent studies have highlighted the potentialities of a radiobiological parameter, early regression index (ERITCP), in treatment response prediction for rectal cancer patients treated with chemoradiotherapy followed by surgery. The aim this study is to evaluate performance parameter predicting pathological complete (pCR) context low field MR guided radiotherapy (MRgRT) cervical (CC). Methods: A total 16 affected CC were enrolled. All underwent MRgRT treatment, prescription 50.6...
As a discipline in its infancy, online adaptive RT (ART) needs new ontologies and ad hoc criteria to evaluate the appropriateness of use clinical practice. In this experience, we propose predictive model able quantify dosimetric impact due daily inter-fraction variability standard breast treatment, identify advance treatment fractions where patients might benefit from an ART approach.The study was focused on right cancer treated using adjuvant artificial intelligence (AI)-based linear...
Solid phase microextraction coupled to gas chromatography-mass spectrometry (SPME-GC-MS) was used determine the adsorption coefficients (Koc) for six target triazines in soil and sediment samples with different organic matter contents textures. SPME-GC-MS conjunction a conventional batch equilibrium method. The recoveries of selected from soils sediments having carbon range 0.2–2.4% were satisfactory. Drawbacks analytical techniques are avoided; owing selectivity SPME-GC-MS, no sample...
BackgroundIdentifying the best care for a patient can be extremely challenging.To support creation of multifactorial Decision Support Systems (DSSs), we propose an Umbrella Protocol, focusing on prostate cancer. Materials and MethodsThe PRODIGE project consisted workflow standardizing data, procedures, to create consistent dataset useful elaborate DSSs.Techniques from classical statistics machine learning are adopted.The general protocol accepted by our Ethical Committee downloaded at...
Background and purpose: The aim of our study was to elaborate a suitable model on bladder late toxicity in prostate cancer (PC) patients treated by radiotherapy with volumetric technique. Materials methods: PC between September 2010 April 2017 were included the analysis. An observational performed collecting data any grade, according RTOG CTCAE 4.03 scales, cumulative dose volumes histograms exported for each patient. Vdose, value specific volume organ at risk (OAR), impact analyzed through...
Purpose Breast cancer survivors have a high risk of cardiac death as consequence heart irradiation during left breast tangential radiotherapy (RT). This study compares the dose delivered by standard 3D conformal RT (CRT) to that prospective-gating (PGRT) or 5-field intensity-modulated (IMRT). Methods Patients with early cancer, referred for adjuvant our institution, were enrolled in this study. For each patient, 2 simulation computed tomography scans acquired: first free breathing, and...
Radiotherapy is highly involved in the management of prostate cancer. Its features and potential applications experienced a radical evolution over last decades, as they are associated to continuous available technology current oncological innovations. Some application radiotherapy like brachytherapy have been recently enriched by innovative multidisciplinary dedications. In this report we aim put some questions regarding following issues multiple aspects modern radiation oncology: oncology;...
Introduction The aim of this study was to create a radiomic model able calculate the probability 5-year disease-free survival (5yDFS) when oxaliplatin (OXA) is or not administered in patients with locally advanced rectal cancer (LARC) and treated neoadjuvant chemoradiotherapy (nCRT), allowing physicians choose best chemotherapy (CT) regimen. Methods LARC cT3–4 cN0 cT1–4 cN1–2 were according an nCRT protocol that included concomitant CT schedules without OXA radiotherapy dose 55 Gy 25...
The aim of the study was to evaluate acute and late genitourinary (GU) gastrointestinal (GI) toxicity in patients with high- or intermediate-risk prostate cancer.We evaluated data from three Radiation Oncology Departments (Rome, Lübeck Perugia). Patients treated Rome underwent exclusive intensity-modulated-radiotherapy (IMRT) IMRT plus high-dose-rate interventional radiotherapy (HDR-IRT). two fractions HDR-IRT performed Lübeck, while Perugia Helical Tomotherapy performed. Common Toxicity...