#
Physics, Statistics and Radioprotection

A.Y. 2019/2020

Learning objectives

At the end of the course, the student should be able to:

1. Develop models of physical phenomena through a basic application of the scientific method.

2. Know the fundamental principles of physics and their implications in the biomedical field, especially as regards the working principles of some lab techniques.

3. Solve simple physics problems about topics related to the biomedical field and give quantitative estimates of the phenomena.

4. Know the main statistical techniques for the evaluation of precision and accuracy of measurement methods used in biomedical labs.

5. Acquire the knowledge to inform those, subjected to diagnostic imaging or radio-treatment, about the risks connected to radiations and about the practices to avoid unnecessary exposure.

1. Develop models of physical phenomena through a basic application of the scientific method.

2. Know the fundamental principles of physics and their implications in the biomedical field, especially as regards the working principles of some lab techniques.

3. Solve simple physics problems about topics related to the biomedical field and give quantitative estimates of the phenomena.

4. Know the main statistical techniques for the evaluation of precision and accuracy of measurement methods used in biomedical labs.

5. Acquire the knowledge to inform those, subjected to diagnostic imaging or radio-treatment, about the risks connected to radiations and about the practices to avoid unnecessary exposure.

Expected learning outcomes

At the end of the course, the student should be able to:

1. Assign a unit of measurement and estimate the order of magnitude of various physical quantities of biomedical interest or everyday life (number of cells in human body, volume of blood, volume of a room)

2. Observe and measure physical phenomena (a falling body, a flowing fluid, a propagating light ray) and develop models to mathematically describe them, through a basic application of the scientific method

3. Explain the fundamental principles of mechanics, fluid dynamics, thermodynamics, electromagnetism and optics

4. Explain the relevance and the implications of such principles for physiological and biomedical phenomena

5. Describe the working princples of common diagnostic devices and lab techniques (e.g. electrophoresis, centrifuge, flow cytometry)

6. Solve simple quantitative problems about the described phenomena, identifying the main elements and possible approximations (e.g. finding forces acting on a body and deciding whether to neglect friction in the description of its motion)

At the end of the course of Medical Statistics students are expected to:

- evaluate accuracy and precision of measurement tools currently used in laboratory activities

- analyze laboratory data using descriptive and inferential statistics

- understand a report including methods and results on laboratory data

- write a report including description of statistical methods and results.

The student will learn the basic information of radiation protection to be able to work in an environment where ionizing radiations are present.

1. Assign a unit of measurement and estimate the order of magnitude of various physical quantities of biomedical interest or everyday life (number of cells in human body, volume of blood, volume of a room)

2. Observe and measure physical phenomena (a falling body, a flowing fluid, a propagating light ray) and develop models to mathematically describe them, through a basic application of the scientific method

3. Explain the fundamental principles of mechanics, fluid dynamics, thermodynamics, electromagnetism and optics

4. Explain the relevance and the implications of such principles for physiological and biomedical phenomena

5. Describe the working princples of common diagnostic devices and lab techniques (e.g. electrophoresis, centrifuge, flow cytometry)

6. Solve simple quantitative problems about the described phenomena, identifying the main elements and possible approximations (e.g. finding forces acting on a body and deciding whether to neglect friction in the description of its motion)

At the end of the course of Medical Statistics students are expected to:

- evaluate accuracy and precision of measurement tools currently used in laboratory activities

- analyze laboratory data using descriptive and inferential statistics

- understand a report including methods and results on laboratory data

- write a report including description of statistical methods and results.

The student will learn the basic information of radiation protection to be able to work in an environment where ionizing radiations are present.

**Lesson period:** First semester
(In case of multiple editions, please check the period, as it may vary)

**Assessment methods:** Esame

**Assessment result:** voto verbalizzato in trentesimi

Course syllabus and organization

### Single session

Responsible

**Prerequisites for admission**

The student must have basic knowledge of algebra and elements of geometry.

**Assessment methods and Criteria**

The exam consists of a written test with open questions and multiple choice questions about applied physics, medical statistic, diagnostic imaging and radiotherapy.

A calculator and probability distributions table, available on Ariel, are allowed.

The results will be provided to the students via Ariel. To succeed, the student must have a positive evaluation in all the three parts of the exam. The final score is the CFU-weighted average of the three parts, rounded up.

Students who regularly attended the course will be admitted to a volountary written exam immediately after the end of the course.

A calculator and probability distributions table, available on Ariel, are allowed.

The results will be provided to the students via Ariel. To succeed, the student must have a positive evaluation in all the three parts of the exam. The final score is the CFU-weighted average of the three parts, rounded up.

Students who regularly attended the course will be admitted to a volountary written exam immediately after the end of the course.

**Fisica applicata**

**Course syllabus**

Preliminary tools

∙ Fundamental and derived quantities, International System

∙ Multiples and submultiples, scientific notation and significant figures

∙ Estimates of orders of magnitude

∙ Scalar and vector quantities

∙ Vector operations

Mechanics

∙ Uniform straigth motion, uniformly accelerated motion

∙ Principles of dynamics

∙ Forces: gravitational, weight, constraint reaction, friction, elastic

∙ Motion on an inclined plane, 2D motion

∙ Work of a force

∙ Kinetic energy theorem

∙ Conservative forces, potential energy

∙ Conservation of mechanical energy

∙ Dissipative forces

∙ Types of deformation

∙ Stress-strain curves, Young modulus

∙ States of matter

Fluids

∙ Pressure

∙ Stevin's law

∙ Archimedes force

∙ Flow rate

∙ Hydrodynamic focusing (flow cytometry)

∙ Bernoulli's theorem

∙ Viscosity

∙ Poiseuille's equation

∙ Viscous friction and terminal velocity

∙ Centrifugation, electrophoresis

∙ Surface tension

∙ Contact angle

∙ Capillarity

∙ Laplace's law

Termodynamics

∙ Ideal gas

∙ Absolute temperature

∙ Equation of state for perfect gases

∙ Working principle and calibration of a micropipette

∙ Osmotic pressure

∙ Real gases

∙ Principles of thermodynamics

∙ Latent and specific heat

∙ Conduction, convection and irradiation

∙ Human metabolism

Elettromagnetism and optics

∙ Electric charge

∙ Coulomb's force and electric field

∙ Electric potential

∙ Conducting and insulating materials

∙ Electric current

∙ Electric resistance

∙ Joule effect

∙ Magnetic field

∙ Propagation of electromagnetic waves

∙ Wavelength and frequency

∙ Absorbance and DNA/protein dosage

∙ Fluorescence

∙ Light scattering

∙ Flow citometry

∙ Geometric optics: reflection and refraction

∙ Refractive index

∙ Dispersion

∙ Optical biosensors

∙ Lenses and image formation

∙ Resolution limit in an optical system

∙ Optical microscope

∙ Fundamental and derived quantities, International System

∙ Multiples and submultiples, scientific notation and significant figures

∙ Estimates of orders of magnitude

∙ Scalar and vector quantities

∙ Vector operations

Mechanics

∙ Uniform straigth motion, uniformly accelerated motion

∙ Principles of dynamics

∙ Forces: gravitational, weight, constraint reaction, friction, elastic

∙ Motion on an inclined plane, 2D motion

∙ Work of a force

∙ Kinetic energy theorem

∙ Conservative forces, potential energy

∙ Conservation of mechanical energy

∙ Dissipative forces

∙ Types of deformation

∙ Stress-strain curves, Young modulus

∙ States of matter

Fluids

∙ Pressure

∙ Stevin's law

∙ Archimedes force

∙ Flow rate

∙ Hydrodynamic focusing (flow cytometry)

∙ Bernoulli's theorem

∙ Viscosity

∙ Poiseuille's equation

∙ Viscous friction and terminal velocity

∙ Centrifugation, electrophoresis

∙ Surface tension

∙ Contact angle

∙ Capillarity

∙ Laplace's law

Termodynamics

∙ Ideal gas

∙ Absolute temperature

∙ Equation of state for perfect gases

∙ Working principle and calibration of a micropipette

∙ Osmotic pressure

∙ Real gases

∙ Principles of thermodynamics

∙ Latent and specific heat

∙ Conduction, convection and irradiation

∙ Human metabolism

Elettromagnetism and optics

∙ Electric charge

∙ Coulomb's force and electric field

∙ Electric potential

∙ Conducting and insulating materials

∙ Electric current

∙ Electric resistance

∙ Joule effect

∙ Magnetic field

∙ Propagation of electromagnetic waves

∙ Wavelength and frequency

∙ Absorbance and DNA/protein dosage

∙ Fluorescence

∙ Light scattering

∙ Flow citometry

∙ Geometric optics: reflection and refraction

∙ Refractive index

∙ Dispersion

∙ Optical biosensors

∙ Lenses and image formation

∙ Resolution limit in an optical system

∙ Optical microscope

**Teaching methods**

Frontal lessons with blackboard and projector (slides and movies).

Slides of the lectures and exercises are available on Ariel.

Applied physics: homeworks are assigned and discussed during the following classes.

Medical statistics: some training sessions are held in the computer lab.

Slides of the lectures and exercises are available on Ariel.

Applied physics: homeworks are assigned and discussed during the following classes.

Medical statistics: some training sessions are held in the computer lab.

**Teaching Resources**

- Scannicchio-Giroletti "Elementi di fisica biomedica", EdiSES

- Borsa-Lascialfari "Principi di fisica", EdiSES

- Bellini-Cerbino-Manuzio-Marzari-Repetto-Zennaro "Fisica per medicina", Piccin

- Giancoli "Fisica. Principi e applicazioni", Zanichelli

- Cerbino "Problemi di fisica biomedica", EdiSES

- Giambattista "College physics" McGraw-Hill

- McKay "Physics for the Life Sciences"

(vol I: http://www-personal.umich.edu/~tamckay/IPLS_old/p135w11_lecture_notes_v…; vol II: http://www.pa.msu.edu/~osheabr/teaching/LB274_SS12_coursepack.pdf)

- Borsa-Lascialfari "Principi di fisica", EdiSES

- Bellini-Cerbino-Manuzio-Marzari-Repetto-Zennaro "Fisica per medicina", Piccin

- Giancoli "Fisica. Principi e applicazioni", Zanichelli

- Cerbino "Problemi di fisica biomedica", EdiSES

- Giambattista "College physics" McGraw-Hill

- McKay "Physics for the Life Sciences"

(vol I: http://www-personal.umich.edu/~tamckay/IPLS_old/p135w11_lecture_notes_v…; vol II: http://www.pa.msu.edu/~osheabr/teaching/LB274_SS12_coursepack.pdf)

**Statistica medica**

**Course syllabus**

Reliability of a measure

∙ Reliability and its components

∙ Systematic error and casual error

Variability

∙ Between-subjects and within-subjects variability

Descriptive statistics

∙ Graphs

∙ Location, scale, and shape of a frequency distribution

∙ Measures of location and scale

∙ Accuracy and precision of a measure

∙ Quantiles and reference limits

∙ Correlation and Kappa statistic

Gaussian model

∙ Probability of events on the population within the Gaussian model

∙ How to model the error with a Gaussian model

Inference

∙ Sampling variability

∙ Population and sample

∙ Estimate of a population parameter with sampling quantities

Sampling distribution

∙ The central limit theorem and the distribution of a sampling quantity

∙ Standard error

Confidence interval

∙ Definition and meaning

∙ Formulas

Hypothesis testing

∙ First type and second type errors and power of a test

∙ Sample size calculation

∙ Clinical statistics and clinical relevance

∙ Hypothesis testing on a population mean

Deterministic and probabilistic models

∙ Deterministic and probabilistic models: differences

∙ Simple linear regression model: interpretation and parameters

∙ Hypothesis testing on the parameters of a simple linear regression model

∙ Reliability and its components

∙ Systematic error and casual error

Variability

∙ Between-subjects and within-subjects variability

Descriptive statistics

∙ Graphs

∙ Location, scale, and shape of a frequency distribution

∙ Measures of location and scale

∙ Accuracy and precision of a measure

∙ Quantiles and reference limits

∙ Correlation and Kappa statistic

Gaussian model

∙ Probability of events on the population within the Gaussian model

∙ How to model the error with a Gaussian model

Inference

∙ Sampling variability

∙ Population and sample

∙ Estimate of a population parameter with sampling quantities

Sampling distribution

∙ The central limit theorem and the distribution of a sampling quantity

∙ Standard error

Confidence interval

∙ Definition and meaning

∙ Formulas

Hypothesis testing

∙ First type and second type errors and power of a test

∙ Sample size calculation

∙ Clinical statistics and clinical relevance

∙ Hypothesis testing on a population mean

Deterministic and probabilistic models

∙ Deterministic and probabilistic models: differences

∙ Simple linear regression model: interpretation and parameters

∙ Hypothesis testing on the parameters of a simple linear regression model

**Teaching methods**

Frontal lessons with blackboard and projector (slides and movies).

Slides of the lectures and exercises are available on Ariel.

Applied physics: homeworks are assigned and discussed during the following classes.

Medical statistics: some training sessions are held in the computer lab.

Slides of the lectures and exercises are available on Ariel.

Applied physics: homeworks are assigned and discussed during the following classes.

Medical statistics: some training sessions are held in the computer lab.

**Teaching Resources**

Pagano - Gauvreau "Biostatistica", Idelson-Gnocchi

- Bland "Statistica medica" (Idee & strumenti), Apogeo 2019

- JF. Jekel, DL. Katz, JG. Elmore, DMG. Wild "Epidemiologia Biostatistica e Medicina Preventiva" (3ª edizione), Masson 2009

Suggested books are for reference only. The student should use lecture notes and can freely choose on which books to study the discussed topics.

For some topics, slides and additional materials will be provided via Ariel.

- Bland "Statistica medica" (Idee & strumenti), Apogeo 2019

- JF. Jekel, DL. Katz, JG. Elmore, DMG. Wild "Epidemiologia Biostatistica e Medicina Preventiva" (3ª edizione), Masson 2009

Suggested books are for reference only. The student should use lecture notes and can freely choose on which books to study the discussed topics.

For some topics, slides and additional materials will be provided via Ariel.

**Diagnostica per immagini e radioterapia**

**Course syllabus**

Physical bases

∙ Structure of the atom

∙ Classification of nuclides

∙ Definition of radiation

∙ Electromagnetic radiation

∙ Wave length and frequency

∙ Photons

∙ The electromagnetic spectrum

∙ X and γ rays

∙ Use, production and detection of the electromagnetic spectrum

∙ The corpuscular radiation

∙ Ionizing radiation

∙ Characteristic X-rays

∙ Bremsstrahlung X-rays

∙ X-ray production in diagnostics

∙ Spectrum of an X-ray tube

∙ X-rays: production in radiotherapy

∙ Nuclear stability and radioactivity

∙ Radioactive decay

∙ The law of radioactive decay

∙ Average life and half-life

∙ Activities

∙ Alpha, beta-, beta +, gamma decay

∙ Electronic capture decay

∙ The various types of radiation in the interaction with matter

∙ Interaction of alpha and beta charged particles

∙ Collision

∙ Bremsstrahlung

∙ Interaction of alpha particles

∙ Bragg curve

∙ Interaction of beta particles

∙ Positron-matter interaction: annichilation

∙ Interaction of beta particles

∙ Photoelectric effect, compton, pair creation

∙ Attenuation of a beam of x and gamma radiation

∙ Attenuation law

∙ Detection system

∙ Dose equivalent to an organ

∙ Effective dose to the whole body

∙ Non-ionizing radiation: application examples

∙ MRI, laser, ultrasound

Radioprotection in the sanitary environment

∙ D.lgs.187 / 2000

∙ Principle ALARA

∙ Principle of justification

∙ Optimization process

∙ Reference diagnostic levels

∙ Equipment acceptability criteria

∙ Protection during pregnancy and lactation

∙ Main exclusive responsibilities of the operator

∙ Responsibility of the RIR

∙ Responsibility of the medical specialist

∙ Expert responsibility in medical physics

∙ Purpose of radiation protection

∙ Dose limits for members of the public

∙ Classification criteria for workers

∙ Exposed workers in categories A and B

∙ Dose limits for exposed workers

∙ Physical and medical surveillance

∙ Classification of areas

∙ Internal and external exposure

∙ Sources of risk in radiological activities

∙ Personal protective equipment

∙ Safety in radiological activity

∙ Traditional radiographic procedures for radiation protection standards

∙ Dental radiology radiation protection standards

∙ Mammography radioprotection standards

∙ TAC radiation protection standards

∙ Radioscopy and interventional radiology radiation protection standards

∙ Sources of risk in radiotherapy radiation protection standards

∙ Sources of risk in brachytherapy radiation protection standards

∙ Sources of risk with unsealed radioactive substances

∙ In vitro diagnostic procedures

∙ General planning principles

∙ Radioactive waste

Radiobiology

∙ Study of the action and effects of ionizing radiation on biological structures

∙ Experimental techniques of radiobiology

∙ Sequences of events of radiobiological interest

∙ Radiation cell damage

Imaging diagnostic techniques

Physical and biological bases of nuclear medicine

∙ Structure of the atom

∙ Classification of nuclides

∙ Definition of radiation

∙ Electromagnetic radiation

∙ Wave length and frequency

∙ Photons

∙ The electromagnetic spectrum

∙ X and γ rays

∙ Use, production and detection of the electromagnetic spectrum

∙ The corpuscular radiation

∙ Ionizing radiation

∙ Characteristic X-rays

∙ Bremsstrahlung X-rays

∙ X-ray production in diagnostics

∙ Spectrum of an X-ray tube

∙ X-rays: production in radiotherapy

∙ Nuclear stability and radioactivity

∙ Radioactive decay

∙ The law of radioactive decay

∙ Average life and half-life

∙ Activities

∙ Alpha, beta-, beta +, gamma decay

∙ Electronic capture decay

∙ The various types of radiation in the interaction with matter

∙ Interaction of alpha and beta charged particles

∙ Collision

∙ Bremsstrahlung

∙ Interaction of alpha particles

∙ Bragg curve

∙ Interaction of beta particles

∙ Positron-matter interaction: annichilation

∙ Interaction of beta particles

∙ Photoelectric effect, compton, pair creation

∙ Attenuation of a beam of x and gamma radiation

∙ Attenuation law

∙ Detection system

∙ Dose equivalent to an organ

∙ Effective dose to the whole body

∙ Non-ionizing radiation: application examples

∙ MRI, laser, ultrasound

Radioprotection in the sanitary environment

∙ D.lgs.187 / 2000

∙ Principle ALARA

∙ Principle of justification

∙ Optimization process

∙ Reference diagnostic levels

∙ Equipment acceptability criteria

∙ Protection during pregnancy and lactation

∙ Main exclusive responsibilities of the operator

∙ Responsibility of the RIR

∙ Responsibility of the medical specialist

∙ Expert responsibility in medical physics

∙ Purpose of radiation protection

∙ Dose limits for members of the public

∙ Classification criteria for workers

∙ Exposed workers in categories A and B

∙ Dose limits for exposed workers

∙ Physical and medical surveillance

∙ Classification of areas

∙ Internal and external exposure

∙ Sources of risk in radiological activities

∙ Personal protective equipment

∙ Safety in radiological activity

∙ Traditional radiographic procedures for radiation protection standards

∙ Dental radiology radiation protection standards

∙ Mammography radioprotection standards

∙ TAC radiation protection standards

∙ Radioscopy and interventional radiology radiation protection standards

∙ Sources of risk in radiotherapy radiation protection standards

∙ Sources of risk in brachytherapy radiation protection standards

∙ Sources of risk with unsealed radioactive substances

∙ In vitro diagnostic procedures

∙ General planning principles

∙ Radioactive waste

Radiobiology

∙ Study of the action and effects of ionizing radiation on biological structures

∙ Experimental techniques of radiobiology

∙ Sequences of events of radiobiological interest

∙ Radiation cell damage

Imaging diagnostic techniques

Physical and biological bases of nuclear medicine

**Teaching methods**

Frontal lessons with blackboard and projector (slides and movies).

Slides of the lectures and exercises are available on Ariel.

Applied physics: homeworks are assigned and discussed during the following classes.

Medical statistics: some training sessions are held in the computer lab.

Slides of the lectures and exercises are available on Ariel.

Applied physics: homeworks are assigned and discussed during the following classes.

Medical statistics: some training sessions are held in the computer lab.

**Teaching Resources**

Suggested books are for reference only. The student should use lecture notes and can freely choose on which books to study the discussed topics.

For some topics, slides and additional materials will be provided via Ariel.

For some topics, slides and additional materials will be provided via Ariel.

Diagnostica per immagini e radioterapia

MED/36 - IMAGING AND RADIOTHERAPY - University credits: 1

Lessons: 10 hours

Professor:
Maioli Claudio

Fisica applicata

FIS/07 - APPLIED PHYSICS - University credits: 4

Lessons: 40 hours

Professor:
Zanchetta Giuliano

Statistica medica

MED/01 - MEDICAL STATISTICS - University credits: 4

Lessons: 40 hours

Professor:
Edefonti Valeria Carla

Professor(s)

Reception:

For meetings, please write an email.

Campus Cascina Rosa, via A. Vanzetti, 5, 20133 Milano - room number 3 - 4