Radiomics: Basic Concepts and Clinical Applications for Oncologic Patients

19 - 21 Apr 2021

100% Online

Level II - General radiologist

Radiomics is a novel technology that unlocks new diagnostic capabilities by using medical images and machine learning techniques. Including Radiomics in the diagnostic process is expected to result in the improvement of diagnostic accuracy, as well as the prediction of treatment response and access to valuable early prognosis information. In this course, a non-technical review of the basic concepts of machine learning will be provided.

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Description

Today, medical imaging interpretation is solely based on subjective radiological opinions that suffer from increased variability and low reproducibility. Including Radiomics in the diagnostic process is expected to result in the improvement of diagnostic accuracy, as well as the prediction of treatment response and access to valuable early prognosis information.

Several modules of the Radiomics pipeline will be presented and discussed starting from the first phase, where a clinician needs to formulate the clinical question. A radiologist will then need to identify the relevant data sources (types of imaging modalities), and after that an imaging scientist should make sure that the data is preprocessed in a way to enable it to be exploited by the next phases in the pipeline.

The lesion segmentation should be done by more than one radiologist, and the radiomics features should be computed by an Imaging Scientist in order to proceed to the model training and validation phases made by a Data Scientist.


Availability

Maximum number of seats: 10

Learning objectives

  • To present the basic aspects and techniques in Radiomics
  • To become familiar with practical aspects of a Radiomics Pipeline
  • To discuss potential clinical applications of Radiomics in Oncologic Patients

Programme will include

  • Each module will be covered by means of a short theoretical lecture and Q&A after a practical online demonstration.

Level

Level II - General radiologist


Technical requirements

  • A computer with Google Chrome and Internet Access

Lecturers

  • Nickolas Papanikolaou

    Nickolas Papanikolaou, PhD (Male), is a Principal Investigator in Oncologic Imaging at CHAMPALIMAUD FOUNDATION and research group leader of the Computational Clinical Imaging Group. He is an Affiliated Researcher at Karolinska Institute and a Senior Affiliated Researcher at the Institute of Computer Science – FORTH. Dr. Nikolaos Papanikolaou studied biomedical engineering while he obtained his Ph.D. from the Medical School of the University of Crete. He has been a research associate of the Department of Radiology, University Hospital of Heraklion, from 1999 to 2009. He has published 85 scientific papers in peer-reviewed international journals and 17 chapters in international books. At the same time, he edited a series of 3 books on Diffusion-Weighted Imaging Applications in GI, GU, and Hepatobiliary systems. He has delivered more than 100 invited lectures in international congresses and educational courses. He served as a member of the editorial board of European Radiology in the section of experimental radiology while he was a member of the abdominal subcommittee of ECR. He has been awarded two research scholarships from ECR. Finally, he is an honorary member of the Spanish Society of Gastrointestinal Radiology (SEDIA). The main focus of his research is the development and validation of imaging biomarkers on cancer applications. He recently initiated the development of a Radiomics Network comprising luminary clinical sites in the US and Europe to advance research in that area of Radiomics. He is the section editor on AI, Radiomics, and Machine Learning in Cancer Imaging, and he is chairing the e-learning subcommittee of ICIS.

Schedule

Monday - April 19th 2021
13:30 - 13:45(GMT +0200) Introduction to the course Introduction Nickolas Papanikolaou
13:45 - 14:15(GMT +0200) Module 1: Setting the scene Lecture Nickolas Papanikolaou
14:15 - 14:25(GMT +0200) Setting the scene: Discussion Nickolas Papanikolaou
14:25 - 14:45(GMT +0200) Module 2: Segmentation Lecture Nickolas Papanikolaou
14:45 - 15:00(GMT +0200) Break Break Nickolas Papanikolaou
15:00 - 16:10(GMT +0200) Segmentation: How do I do it? Case demo Nickolas Papanikolaou
16:10 - 16:35(GMT +0200) Q&A Nickolas Papanikolaou
16:35 - 16:45(GMT +0200) Break Break Nickolas Papanikolaou
16:45 - 17:05(GMT +0200) Module 3: Preprocessing talks Lecture Nickolas Papanikolaou
17:05 - 17:45(GMT +0200) Preprocessing talks: How do I do it? Case demo Nickolas Papanikolaou
17:45 - 18:10(GMT +0200) Q&A Nickolas Papanikolaou
Tuesday - April 20th 2021
13:30 - 14:00(GMT +0200) Module 4: Feature Extraction Lecture Nickolas Papanikolaou
14:00 - 14:40(GMT +0200) Feature Extraction: How do I do it? Case demo Nickolas Papanikolaou
14:40 - 15:05(GMT +0200) Q&A Nickolas Papanikolaou
15:05 - 15:15(GMT +0200) Break Break Nickolas Papanikolaou
15:15 - 15:45(GMT +0200) Module 5: Feature Selection and Model Development Lecture Nickolas Papanikolaou
15:45 - 16:55(GMT +0200) Feature Selection and Model Development: How do I do it? (Part 1) Case demo Nickolas Papanikolaou
16:55 - 17:10(GMT +0200) Break Break Nickolas Papanikolaou
17:10 - 18:20(GMT +0200) Feature Selection and Model Development: How do I do it? (Part 2) Case demo Nickolas Papanikolaou
18:20 - 18:50(GMT +0200) Q&A Nickolas Papanikolaou
Wednesday - April 21st 2021
13:30 - 14:00(GMT +0200) Module 6: Model Validation Lecture Nickolas Papanikolaou
14:00 - 14:40(GMT +0200) Model Validation: How do I do it? Case demo Nickolas Papanikolaou
14:40 - 15:10(GMT +0200) Q&A Nickolas Papanikolaou
15:10 - 15:20(GMT +0200) Break Break Nickolas Papanikolaou
15:20 - 15:50(GMT +0200) Clinical Applications: Brain Case demo Nickolas Papanikolaou
15:50 - 16:20(GMT +0200) Clinical Applications: Breast Case demo Nickolas Papanikolaou
16:20 - 16:30(GMT +0200) Break Break Nickolas Papanikolaou
16:30 - 17:00(GMT +0200) Clinical Applications: GI Case demo Nickolas Papanikolaou
17:00 - 17:30(GMT +0200) Clinical Applications: Prostate Case demo Nickolas Papanikolaou
17:30 - 18:00(GMT +0200) Closing remarks Nickolas Papanikolaou

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