Radiomics
A.A. 2021/2022
Obiettivi formativi
"Apprendere le basi della radiobiologia
Apprendere i fondamenti del funzionamento delle diverse apparecchiature utilizzate in radiodiagnostica
Apprendere le nozioni necessarie per identificare le lesioni target
Apprendere gli strumenti di segmentazione delle immagini radiologiche
Conoscere le diverse features radiomiche e il loro significato
Conoscere il ruolo della radioterapia in oncologia
Conoscere ruolo delle immagini e work flow in radioterapia
Conoscere le applicazioni cliniche della radiomica e radiogenomica e le loro criticità metodologiche
"
Apprendere i fondamenti del funzionamento delle diverse apparecchiature utilizzate in radiodiagnostica
Apprendere le nozioni necessarie per identificare le lesioni target
Apprendere gli strumenti di segmentazione delle immagini radiologiche
Conoscere le diverse features radiomiche e il loro significato
Conoscere il ruolo della radioterapia in oncologia
Conoscere ruolo delle immagini e work flow in radioterapia
Conoscere le applicazioni cliniche della radiomica e radiogenomica e le loro criticità metodologiche
"
Risultati apprendimento attesi
"Lo studente conoscerà le basi della radiobiologia
Lo studente sarà in grado di comprendere i fondamenti del funzionamento delle diverse apparecchiature utilizzate in radiodiagnostica
Lo studente avrà le nozioni necessarie per identificare le lesioni target
Lo studente saprà utilizzare gli strumenti di segmentazione delle immagini radiologiche
Lo studente sarà in grado di conoscere le diverse features radiomiche e il loro significato
Lo studente saprà le indicazioni alla radioterapia e work flow
Lo studente avrà le nozioni relative alla radiomica e radiogenomica e le loro applicazioni cliniche
"
Lo studente sarà in grado di comprendere i fondamenti del funzionamento delle diverse apparecchiature utilizzate in radiodiagnostica
Lo studente avrà le nozioni necessarie per identificare le lesioni target
Lo studente saprà utilizzare gli strumenti di segmentazione delle immagini radiologiche
Lo studente sarà in grado di conoscere le diverse features radiomiche e il loro significato
Lo studente saprà le indicazioni alla radioterapia e work flow
Lo studente avrà le nozioni relative alla radiomica e radiogenomica e le loro applicazioni cliniche
"
Periodo: Primo semestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Edizione unica
Responsabile
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Programma
1. Radiobiology
Interactions of ionising radiation with matter
Radiation effects on healthy and tumour tissue
Radiosensitivity and radioresistance of tissue
2. Imaging acquisition techniques
Digital diagnostic images: matrix, spatial resolution, contrast resolution, archive and distribution
Processing of digital images
Ultrasound
- Mechanical waves and ultrasound image formation
- Doppler phenomenon
- Ultrasound contrast media and harmonic imaging
Computerized tomography
- Technological evolution of the equipment, reconstruction through sinograms and back projection
- Hounsfield unit and window concept
Magnetic Resonance
- Signal genesis, relaxation time T1 and T2, spatial encoding
- Contrast agents in radiology and MR
3. Oncological radiotherapy
Imaging for radiotherapy
Indications to radiotherapy in the most common solid tumors and hematological malignancies
Radiotherapy devices and modalities
Work flow in radiotherapy
Image guided radiotherapy
Tumour remission and normal tissue toxicity
Clinical research in oncology. How to write a scientific paper?
Radiomic applications in clinical Radiation Oncology
Journal club on clinical cases
4. Images are numbers
Discovering DICOM attributes - overview of anonymization strategies
Radiomic goals
Radiologic images are biomarkers for oncologic response evaluation and for response prediction
Radiomic pathways
Image normalization techniques
Target lesions identification
Target lesions contouring
Atlas-based autosegmentation
Extraction of target lesions
Radiomic analysis
Radiomic features description
Radiomic features variability and causes of variability
Influence of image acquisition parameters
5. Radiomics and radiogenomics
Clinical applications
Treatment personalisation
Methodological challenges
6. Basics of statistics for radiomics
How to set-up a robust radiomic study from a statistical perspective
How to recognize biases and how to mitigate their effect
Methods of statistical analysis
7. New frontiers in radiomics
Studies with phantoms
Dosomics
Deep learning for medical image analysis
Interactions of ionising radiation with matter
Radiation effects on healthy and tumour tissue
Radiosensitivity and radioresistance of tissue
2. Imaging acquisition techniques
Digital diagnostic images: matrix, spatial resolution, contrast resolution, archive and distribution
Processing of digital images
Ultrasound
- Mechanical waves and ultrasound image formation
- Doppler phenomenon
- Ultrasound contrast media and harmonic imaging
Computerized tomography
- Technological evolution of the equipment, reconstruction through sinograms and back projection
- Hounsfield unit and window concept
Magnetic Resonance
- Signal genesis, relaxation time T1 and T2, spatial encoding
- Contrast agents in radiology and MR
3. Oncological radiotherapy
Imaging for radiotherapy
Indications to radiotherapy in the most common solid tumors and hematological malignancies
Radiotherapy devices and modalities
Work flow in radiotherapy
Image guided radiotherapy
Tumour remission and normal tissue toxicity
Clinical research in oncology. How to write a scientific paper?
Radiomic applications in clinical Radiation Oncology
Journal club on clinical cases
4. Images are numbers
Discovering DICOM attributes - overview of anonymization strategies
Radiomic goals
Radiologic images are biomarkers for oncologic response evaluation and for response prediction
Radiomic pathways
Image normalization techniques
Target lesions identification
Target lesions contouring
Atlas-based autosegmentation
Extraction of target lesions
Radiomic analysis
Radiomic features description
Radiomic features variability and causes of variability
Influence of image acquisition parameters
5. Radiomics and radiogenomics
Clinical applications
Treatment personalisation
Methodological challenges
6. Basics of statistics for radiomics
How to set-up a robust radiomic study from a statistical perspective
How to recognize biases and how to mitigate their effect
Methods of statistical analysis
7. New frontiers in radiomics
Studies with phantoms
Dosomics
Deep learning for medical image analysis
Prerequisiti
No prior knowledge is required.
Metodi didattici
The course is based on frontal lessons. Lectures could be held in presence and/or online (Microsoft Teams). Lectures will be accompanied by practicals, group work and time for reflection and collective discussion.
Materiale di riferimento
Radiomics and Radiogenomics: Technical Basis and Clinical Applications (Imaging in Medical Diagnosis and Therapy) 1st Edition
By Ruijiang Li, Lei Xing, Sandy Napel, Daniel L. Rubin
ISBN 9780815375852
Published June 28, 2019 by Chapman and Hall/CRC
By Ruijiang Li, Lei Xing, Sandy Napel, Daniel L. Rubin
ISBN 9780815375852
Published June 28, 2019 by Chapman and Hall/CRC
Modalità di verifica dell’apprendimento e criteri di valutazione
Oral examination on the items that have been described during classes.
MED/04 - PATOLOGIA GENERALE
MED/36 - DIAGNOSTICA PER IMMAGINI E RADIOTERAPIA
MED/36 - DIAGNOSTICA PER IMMAGINI E RADIOTERAPIA
Lezioni: 48 ore
Docenti:
Jereczek Barbara Alicja, Vanzulli Angelo
Docente/i
Ricevimento:
previo appuntamento da concordare via e-mail
IEO
Ricevimento:
Martedì e Giovedì ore 12 previo appuntamento