EUROPEAN SOCIETY FOR HYBRID, MOLECULAR AND TRANSLATIONAL IMAGING
CHILI 2019
Lectures
1
CHILI-19 - 18F-FDG PET/CT in oncology - basic considerations
18:58Barbara Malene Fischer
2
CHILI-19 - Evidence of theranostics in neuroendocrine tumours and prostate cancer
19:29Harun Ilhan
3
CHILI-19 - Hybrid imaging in paediatrics
20:16Helen Nadel
4
CHILI-19 - Hybrid PET in inflammation and infection
20:45Jean-Noël Talbot
5
CHILI-19
01:34Introduction
6
CHILI-19
03:01Introduction
7
CHILI-19
01:45Introduction
8
CHILI-19
02:10Introduction
9
CHILI-19 - Machine learning in imaging: With or without hybrid imaging?
20:31Irène Buvat
10
CHILI-19 - Monitoring immunotherapy with hybrid imaging
20:32Clemens Cyran
11
CHILI-19 - New horizons: PET and SPECT innovations from the radiochemistry lab
19:58Alexander Hammers
12
CHILI-19 - PET/CT for therapy management of breast cancer patients
20:50Myriam Wartski
13
CHILI-19 - Pitfalls in 18F-FDG PET/CT
21:00José Vercher-Conejero
14
CHILI-19 - PSMA hybrid imaging: guiding clinical management in prostate cancer
20:00Katrine Riklund
15
CHILI-19
14:41Round table discussion
16
CHILI-19
12:28Round table discussion
17
CHILI-19
12:28Round table discussion
18
CHILI-19
14:50Round table discussion
19
CHILI-19 - The basics of hybrid imaging
20:01Thomas Beyer
20
CHILI-19 - The role of PET/CT in esophageal cancer
19:26Patrick Veit-Haibach
Learning Objectives
- to learn the principles of hybrid medical imaging
- to learn the key clinical questions at different points in the patient’s journey
- to understand the indications, limitations and comparative merits of each part in hybrid medical imaging in a wide range of oncologic and non-oncologic conditions, including prostate cancer, breast cancer, esophageal cancer as well as inflammation and infection.
- to appreciate the complementary roles of structural and functional/molecular imaging in cancer management
- to understand how information derived from imaging guides patient selection for treatment and supports individualised treatment planning
- to learn about advanced applications of hybrid imaging, such as theranostics, new radiopharmaceuticals and machine learning in hybrid imaging