A5080820518- Advanced Radiotherapy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Advances in Oncology and Radiotherapy
- Radioactivity and Radon Measurements
- Head and Neck Cancer Studies
- Effects of Radiation Exposure
- Advanced MRI Techniques and Applications
- French Language Learning Methods
- Breast Cancer Treatment Studies
- Boron Compounds in Chemistry
- Radiation Therapy and Dosimetry
- Medieval European Literature and History
- Radiation Detection and Scintillator Technologies
- Geophysical Methods and Applications
- Cancer Diagnosis and Treatment
- AI in cancer detection
- Urban Planning and Landscape Design
- Linguistic Studies and Language Acquisition
- Prostate Cancer Diagnosis and Treatment
- Historical and Environmental Studies
- Lung Cancer Diagnosis and Treatment
Centro di Riferimento Oncologico
2007-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2017-2025
San Raffaele University of Rome
2016
Agenzia Regionale per la Protezione Ambientale
2005
The aim of this study is to predict local failure after partial prostate re-irradiation for the treatment isolated locally recurrent cancer by using a machine learning classifier based on radiomic features from pre-treatment computed tomography (CT), positron-emission (PET) and biological effective dose distribution (BED) radiotherapy plan. analysis was conducted monocentric dataset 43 patients with evidence intraprostatic recurrence primary external beam radiotherapy. All received delivered...
Purpose: to predict eligibility for deep inspiration breath-hold (DIBH) radiotherapy (RT) treatment of patients with left breast cancer from analysis respiratory signal, using Deep Bidirectional Long Short-Term Memory (BLSTM) recurrent neural networks. Methods: The traces 36 who underwent DIBH RT were collected. patients’ plans generated both and free-breathing (FB) modalities. divided into two classes (patient eligible or not), based on the decrease maximum dose anterior descending (LAD)...
Journal Article Radon Survey in Schools North-East Italy Get access C. Giovani, Giovani Search for other works by this author on: Oxford Academic PubMed Google Scholar Cappelletto, Cappelletto M. Garavaglia, Garavaglia E. Scruzzi, Scruzzi G. Peressini, Peressini R. Villalta Radiation Protection Dosimetry, Volume 97, Issue 4, 1 December 2001, Pages 341–344, https://doi.org/10.1093/oxfordjournals.rpd.a006685 Published: 01 2001
Purpose: To evaluate feasibility and accuracy of skin dose measurements in helical tomotherapy treatments with EBT radiochromic films (ISP, Wayne, NJ). Method Materials: were cut into pieces irradiated for calibration a static Tomotherapy field at 1cm depth solid water phantom. Calibration doses, ranging from 25 to 1200 cGy, calculated thimble ionisation chamber 1.5cm PDD data. We taped small cuts (1 cm2) on the inner side masks used patients immobilization. Films removed mask after 1–3...
________________________________________________________________________________10% for head and neck 4.5% pancreas, in agreement with respective LEM-based prescription doses, adopted our protocols.Deviations are expected to be close zero around a DRBE = 5 Gy (RBE).Target under-dosage was shown optimized plans, when uncorrected were prescribed. Conclusion:The delivery of voxel by iso-effective plan, if different RBE models employed, is not feasible; it however possible minimize differences...
Purpose: To determine which film between EDR2 radiographic (Kodak, Rochester, NY) and EBT radiochromic (ISP, Wayne, NJ) is more accurate for dose verification in HI‐ART Tomotherapy System (Tomotherapy Incorporated, Madison, WI) treatments. Matherials methods: We performed six treatments (1 prostate, 2 head neck, 1 lung, brain, spine cancer) on a “cheese” phantom loaded with films, repeated the procedure using films. films were scanned Vidar (Vidar Systems Corporation, Herndon, VA) scanner...