Medicine and Surgery

Activity type

Tirocini formativi e di orientamento

SSD

FIS/07

Year

4th year

Semester

2nd semester

CFU

1

Hours distribution

25 others hours

Lecturers

VALERIA PANEBIANCO

Activity type

Discipline radiologiche e radioterapiche, Tirocini formativi e di orientamento

SSD

MED/36, MED/36

Year

4th year

Semester

2nd semester

CFU

5

Hours distribution

25 classroom hours, 75 others hours

Lecturers

CARLO CATALANO
VALERIA PANEBIANCO
VALERIA PANEBIANCO

Main teaching objectives:
The aim of this course will be to enable students to develop a basic familiarity with all the major medical imaging techniques employed in modern hospitals, including x-ray imaging, computed tomography, magnetic resonance imaging, ultrasound and Hybrid Imaging. Nuclear Medicine will also be part of the course. Notions regarding interventional radiology and image guided therapy will also be provided.
Each technique will be introduced in the context of the underlying clinical requirements. Major indications to various exams will also be reviewed with the aim of providing an overview about how different modalities may be adopted in different clinical scenarios and possibly integrated in order to formulate a diagnosis.

Knowledge of the physical characteristics of the different imaging modalities used in Diagnostic Imaging and Radiotherapy, as well as the main technological features of the equipment and their use, in order to provide useful information to the patient.
Knowledge of the main clinical indications for Diagnostic Imaging and Interventional Radiology examinations, as well as for Radiotherapy applied to Oncology, and their respective roles in the diagnosis of different organs and systems (indications and appropriateness of the various exams).
Knowledge of the main elements of radiological and nuclear medicine semiotics and diagnostics, and of the use of radiotherapy modalities.
Knowledge of the principles of radiation protection in diagnostic imaging and awareness of the risks associated with the use of contrast media.
Knowledge and application of Artificial Intelligence and Computational Imaging in diagnostic imaging.
To acquire the ability to recognize, in the different types of radiographic examinations, the main anatomical findings and, when possible, to identify the pathological pattern.

We reccommend the Student have already completed all the exams from the first, second, and third academic years; we suggest the Student to have already completed the exams in Pathological Anatomy and Applied Pathology I, II, and III.

Module: Diagnostic imaging - MED 36
Contents:
Basic principles of: X-Rays. Ultrasound, CT, MRI and Hybrid Imaging.



Module: Diagnostic imaging - MED 36
Contents:
Contents: Diagnostic Imaging and Interventional Radiology in Diseases of. CNS, Chest, Cardiovascular, G-I tract, Uro-genital apparatus, MSK and Breast.

Attività Pratiche Professionalizzanti (APP)

- Practical activities in CT imaging
- Practical activities in Breast imaging
- Practical activities in MR imaging
- Practical activities in US
- Practical activities in Interventional Radiology

Responsibles: prof.ssa Valeria Panebianco, prof. Carlo Catalano.

Practical activities:
These activities will be carried out in the CT, MRI and Breast Units of the Radiology Division at Policlinico Umberto I . The students will follow both experienced radiologists and radiology residents during their activities, to be part of a true “radiologist’s daily experience”. More specifically, the aim of these practical activities will be:
- to practice CT/MRI safety protocol and imaging rooms best practices;
- to assist experienced radiologists and radiology residents evaluating indications and contraindications to perform specific advanced imaging exams;
- to understand the routine workflow in a CT/MRI/Breast session
- to understand how to set a CT/MRI protocol based on clinical indications;
- to investigate the radiological anatomy;
- to investigate the basis of CT, MRI and Breast imaging diagnostic work up, especially in oncology.

Thanks to these concrete and representative activities, the students will be able to:
- understand and learn safety standards and good practices during radiological sessions;
- apply basic knowledges of CT, MRI and Breast imaging;
- verify the appropriateness of clinical indications of radiological exams.
These learning objectives will be tested during the final exam, applying them to clinical/radiological cases.

Module: Diagnostic imaging - MED 36
Suggested textbooks:

ESR eBook for Undergraduate Education in Radiology
ESR Modern Radiology eBook
Lecture notes
Learning Radiology: Recognizing the basics. W. Herring. Elsevier Saunders


Module: Diagnostic imaging - MED 36
Suggested textbooks:

ESR eBook for Undergraduate Education in Radiology
ESR Modern Radiology eBook
Lectures notes
Learning Radiology: Recognizing the basics. W. Herring. Elsevier Saunders

Module: Diagnostic imaging - MED 36
- Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2, Turkbey, Baris et al., European Urology, Volume 76, Issue 3, 340 - 351

- Elsayes KM, Hooker JC, Agrons MM, Kielar AZ, Tang A, Fowler KJ, Chernyak V, Bashir MR, Kono Y, Do RK, Mitchell DG, Kamaya A, Hecht EM, Sirlin CB. 2017 Version of LI-RADS for CT and MR Imaging: An Update. Radiographics. 2017 Nov-Dec;37(7):1994-2017. doi: 10.1148/rg.2017170098. PMID: 29131761.

- American College of Radiology Committee on LI-RADS®. LI-RADS Ultrasound Surveillance v2024 Core. Available at https://edge.sitecorecloud.io/americancoldf5f-acrorgf92a-productioncb02-3650/media/ACR/Files/RADS/LI-RADS/LI-RADS-US-Surveillance-v2024-Core.pdf.

- https://pubmed.ncbi.nlm.nih.gov/39317635/ Panebianco, V., Briganti, A., Efstathiou, J., Galgano, S., Luk, L., Muglia, V. F., Redd, B., de Rooij, M., Takeuchi, M., Woo, S., Witjes, J. A., & Vargas, H. A. (2024). The Role of Multiparametric Magnetic Resonance Imaging and the Vesical Imaging-Reporting and Data System (VI-RADS) in the Management of Patients with Bladder Cancer: Vision of the American College of Radiology VI-RADS Steering Committee. European urology, 86(6), 485–487. https://doi.org/10.1016/j.eururo.2024.09.013

- Panebianco V, Narumi Y, Altun E, Bochner BH, Efstathiou JA, Hafeez S, Huddart R, Kennish S, Lerner S, Montironi R, Muglia VF, Salomon G, Thomas S, Vargas HA, Witjes JA, Takeuchi M, Barentsz J, Catto JWF. Multiparametric Magnetic Resonance Imaging for Bladder Cancer: Development of VI-RADS (Vesical Imaging-Reporting And Data System). Eur Urol. 2018 Sep;74(3):294-306. doi: 10.1016/j.eururo.2018.04.029. Epub 2018 May 10. PMID: 29755006; PMCID: PMC6690492.

Sadowski EA, Thomassin-Naggara I, Rockall A, Maturen KE, Forstner R, Jha P, Nougaret S, Siegelman ES, Reinhold.
- O-RADS MRI Risk Stratification System: Guide for Assessing Adnexal Lesions from the ACR O-RADS Committee. Radiology. 2022 Apr;303(1):35-47. doi: 10.1148/radiol.204371. Epub 2022 Jan 18. Erratum in: Radiology. 2023 Jul;308(1):e239017. doi: 10.1148/radiol.239017. PMID: 35040672; PMCID: PMC8962917.

- Mendelson, E. B. et al. ACR BIRADS® Ultrasound. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston (2013).

- Caracciolo JT, Sayed A, Chang, CY, et al. Bone Tumor Risk Stratification and Management System: A Consensus Guideline from the ACR Bone Reporting and Data System Committee. JACR. 2023;20(10):1044-1058. doi:10.1016/j.jacr.2023.07.017

- Yee J, Dachman A, Kim DH, et al. CT Colonography Reporting and Data System (C-RADS): Version 2023 Update. Radiology 2024;310(1). doi.org/10.1148/radiol.232007

- American College of Radiology Committee on Lung-RADS®. Lung-RADS Assessment Categories 2022. Available at https://www.acr.org/-/media/ACR/Files/RADS/Lung-RADS/Lung-RADS-2022.pdf. Accessed on January 1, 2023.

- Tessler F.N., Middleton W.D., Grant E.G., et al. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee. JACR. 2017;14(5):587–595. 10.1016/j.jacr.2017.01.046

- CAD-RADS™ 2.0 - 2022 Coronary Artery Disease-Reporting and Data System, Cury, Ricardo C. et al., Journal of Cardiovascular Computed Tomography, Volume 16, Issue 6, 536 - 557


Module: Diagnostic imaging - MED 36
- Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2, Turkbey, Baris et al., European Urology, Volume 76, Issue 3, 340 - 351

- Elsayes KM, Hooker JC, Agrons MM, Kielar AZ, Tang A, Fowler KJ, Chernyak V, Bashir MR, Kono Y, Do RK, Mitchell DG, Kamaya A, Hecht EM, Sirlin CB. 2017 Version of LI-RADS for CT and MR Imaging: An Update. Radiographics. 2017 Nov-Dec;37(7):1994-2017. doi: 10.1148/rg.2017170098. PMID: 29131761.

- American College of Radiology Committee on LI-RADS®. LI-RADS Ultrasound Surveillance v2024 Core. Available at https://edge.sitecorecloud.io/americancoldf5f-acrorgf92a-productioncb02-3650/media/ACR/Files/RADS/LI-RADS/LI-RADS-US-Surveillance-v2024-Core.pdf.

- https://pubmed.ncbi.nlm.nih.gov/39317635/ Panebianco, V., Briganti, A., Efstathiou, J., Galgano, S., Luk, L., Muglia, V. F., Redd, B., de Rooij, M., Takeuchi, M., Woo, S., Witjes, J. A., & Vargas, H. A. (2024). The Role of Multiparametric Magnetic Resonance Imaging and the Vesical Imaging-Reporting and Data System (VI-RADS) in the Management of Patients with Bladder Cancer: Vision of the American College of Radiology VI-RADS Steering Committee. European urology, 86(6), 485–487. https://doi.org/10.1016/j.eururo.2024.09.013

- Panebianco V, Narumi Y, Altun E, Bochner BH, Efstathiou JA, Hafeez S, Huddart R, Kennish S, Lerner S, Montironi R, Muglia VF, Salomon G, Thomas S, Vargas HA, Witjes JA, Takeuchi M, Barentsz J, Catto JWF. Multiparametric Magnetic Resonance Imaging for Bladder Cancer: Development of VI-RADS (Vesical Imaging-Reporting And Data System). Eur Urol. 2018 Sep;74(3):294-306. doi: 10.1016/j.eururo.2018.04.029. Epub 2018 May 10. PMID: 29755006; PMCID: PMC6690492.

Sadowski EA, Thomassin-Naggara I, Rockall A, Maturen KE, Forstner R, Jha P, Nougaret S, Siegelman ES, Reinhold.
- O-RADS MRI Risk Stratification System: Guide for Assessing Adnexal Lesions from the ACR O-RADS Committee. Radiology. 2022 Apr;303(1):35-47. doi: 10.1148/radiol.204371. Epub 2022 Jan 18. Erratum in: Radiology. 2023 Jul;308(1):e239017. doi: 10.1148/radiol.239017. PMID: 35040672; PMCID: PMC8962917.

- Mendelson, E. B. et al. ACR BIRADS® Ultrasound. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston (2013).

- Caracciolo JT, Sayed A, Chang, CY, et al. Bone Tumor Risk Stratification and Management System: A Consensus Guideline from the ACR Bone Reporting and Data System Committee. JACR. 2023;20(10):1044-1058. doi:10.1016/j.jacr.2023.07.017

- Yee J, Dachman A, Kim DH, et al. CT Colonography Reporting and Data System (C-RADS): Version 2023 Update. Radiology 2024;310(1). doi.org/10.1148/radiol.232007

- American College of Radiology Committee on Lung-RADS®. Lung-RADS Assessment Categories 2022. Available at https://www.acr.org/-/media/ACR/Files/RADS/Lung-RADS/Lung-RADS-2022.pdf. Accessed on January 1, 2023.

- Tessler F.N., Middleton W.D., Grant E.G., et al. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee. JACR. 2017;14(5):587–595. 10.1016/j.jacr.2017.01.046

- CAD-RADS™ 2.0 - 2022 Coronary Artery Disease-Reporting and Data System, Cury, Ricardo C. et al., Journal of Cardiovascular Computed Tomography, Volume 16, Issue 6, 536 - 557

Classroom teaching and hands-on activities in Diagnostic Imaging.

Mandatory attendance

Assessment of the learning outcomes achieved during the course

Assessment of the imaging modalities to be used in a patient with epigastric pain radiating to the back.

Module: Diagnostic imaging - MED 36

• Physical Principles of X-rays, Ultrasound, MRI, and CT

• Equipment and Imaging Techniques 


• Chest  Imaging 


• GI imaging 


• Cardiac imaging 


• Abdominal Imaging (Spleen, Adrenals, Liver, Pancreas and biliary tree) 


• Breast Imaging 


• Urogenital Imaging female and male 


• MSK imaging 


• Interventional Radiology 


• Neuroradiology 


• Nuclear Medicine 


• Radiobiology and Radiation therapy 


• Computational Medicine 


• APP