Reporting Course

8 CME Credits

Level II

Gastrointestinal Cancer

This Image Reporting Module is aimed at radiologists, oncologists and other specialists who are interested in boosting their clinical competences in the interpretation and identification of different patterns from oesophageal-gastric cancer MRI cases.

20 cases

Already have an account?

Description

This course consists of 20 interesting, real cases related to the topic, grouped into 4 modules carefully prepared by Dr. Juan Carlos Quintero.

By achieving 66% correct answers in each module, the program will be accredited with 2 CME credits from the EACCME.

You can start for free and complete the first 5 cases at no cost. Full access to all cases and other on-demand courses and webinars can be unlocked by purchasing a Premium Membership.

Unilabs Academy e-learning
The course is delivered using a Reporting Simulator — a unique, interactive tool integrated in our e-learning platform designed for radiologists to mirror real-life clinical practice. The Simulator includes a DICOM image viewer and a dynamic, structured reporting form. Upon report submission, you receive immediate, case-specific feedback, allowing you to identify gaps and refine your reporting skills.

Unilabs Academy mini fellowships
Continue oncological imaging training with in-depth fellowships - live lectures, group case reading sessions, and plenty of Q&A with a mentor in an interactive online format. Check the upcoming fellowship in 2026 here

Learning Objectives

Learn to perform a methodological and standardised reading of the CT and MRI scan images for oesophageal-gastric cancer.
Recognise the imaging date and assess the staging of oesophageal-gastric cancer.
Learn to identify the relevant local anatomy in order to adequately simulate and plan the radiation therapy for oesophageal-gastric cancer.

Level

Level II - General radiologist

This course is aimed at radiologists, oncologists and other specialists who are interested in boosting their clinical competencies in the interpretation and identification of different patterns from oesophageal-gastric cancer MRI cases.

Technical Requirements

Hardware	Tablets *	Minimum	Recommended
Memory (RAM):	2 Gigabyte	8 Gigabyte	16 Gigabyte
Processor (CPU):	Dual core 1.85 Ghz	Dual core 2 Ghz	Quad core 2.5 Ghz
Internet connection		Minimum	Recommended
Speed:		10 Mbps	25 Mbps
Software	Tablets	Desktop
Browser:	Safari *	Chrome **

* Tested with Safari on iPad 9.7 (2017), should also work on Android with Chrome. User interface not optimized for smaller screens. Large cases (more than 600 images) are not able to be opened on tablet or mobile devices due to memory consTableRowaints.
** Firefox, Edge and Safari also work but might not provide an equally smooth experience. Internet Explorer is not supported.

Introduction Video

Lecturers

Juan Carlos Quintero^M.D.

Ourense, Spain

Radiologist of the Abdomen section at the Santiago de Compostela Hospital and University Complex.

Dr. Quintero was born in Badalona, Spain. After his university studies at the Central University of Barcelona, he specialized in Radiodiagnosis via MIR (1995-1998) at Hospital Prínceps d ’Espanya (Hospitalet de Llobregat). Special dedication in the Abdomen and Emergency Areas. 4 chapters of radiology books published, 15 national / international publications. Participation in numerous oral and electronic communications in regional, national and international conferences. Collaboration in teaching of Radiodiagnosis MIR and other specialties since 1999 Member of various national and European scientific societies: SERAM, SEDIA, SEUR, SEUS, ACRAM, SGR and ESR. Collaboration in various clinical trials within the framework of Oncology.

See Mentor's other training