About ICIS

About ICIS

The International Cancer Imaging Society exists to meet the important challenges of advancing imaging in the multidisciplinary management of cancer.

We promote education in oncological imaging and stimulate research in the study of human tumour behaviour, bringing together radiologists with an interest in oncological imaging for the exchange of ideas, and to organise scientific meetings, multicentre research studies and postgraduate courses within the field.

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International Cancer Imaging Society Meeting and 20th Annual Teaching Course

International Cancer Imaging Society Meeting and 20th Annual Teaching Course
"Concepts in Cancer Imaging"

Meeting President:
Dr. Aslam Sohaib, UK

Postponed until 2021 due to the Pandemic. More news to follow.

 Further Information 

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Interactive Workshops

Interactive Workshops

These one day teaching courses are limited to 20 participants, each with their own imaging workstation and content delivered through lectures and hands-on case based learning.

Courses in 2020

 

Masterclass in Imaging of Gynaecological Cancers, London, Fri 16 OctNote the change in Date!

 Further Information

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Masterclass in Prostate Cancer (2nd Edition), London, Fri 5 Nov

 Further Information

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Masterclass in Oncological Whole Body MRI, London, Thu 19 Nov and Fri 20 Nov

 Further Information

 Register Now!

Online Courses

Online Courses

Great news, we’ve built something exciting!

From this autumn our new online learning system will bring our range of highly acclaimed ICISi classroom courses to your home.

Courses in 2020

 

Masterclass in Imaging of Hepatobiliary Tumours, Online, Thu 12 Nov to Fri 13 Nov

 Further Information

 Register Now!

The Wizardry of AI and Machine Learning in Cancer Imaging

The Wizardry of AI and Machine Learning in Cancer Imaging

Thu 18 June 2020 - Sat 20 June 2020

Postponed until 2021 due to the Pandemic. More news to follow.

Champalimaud Foundation, Lisbon, Portugal

This joint initiative is presented by Champalimaud Foundation and the International Cancer Imaging Society.

A special focus multidisciplinary meeting on the development and application of artificial intelligence (AI) and machine learning (ML) in Cancer Imaging.

 Further Information

Cancer Imaging Journal

Cancer Imaging Journal

Impact Factor 2.193

Cancer Imaging is the official journal of ICIS, it is an open access, peer-reviewed journal with original articles as well as reviews and editorials.  The journal encompasses CT, MRI, ultrasound, single photon and positron emission tomography, including multimodality imaging in all kinds of malignant tumours, plus new developments, techniques and innovations.

 Submit your next manuscript

 Read our articles

 2019 Abstract Book

ICIS Newsletter

ICIS Newsletters
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Latest ICIS News

Response to Covid: our 2020 Classroom Courses

Response to Covid: our 2020 Classroom Courses

 

In line with government advice, we have worked closely with the venue of our 2020 classroom courses, Imparando in the city of London, to ensure the following measures have been put in place:

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Medical Imaging News -- ScienceDaily

Brain-NET, a deep learning methodology, accurately predicts surgeon certification scores based on neuroimaging data

Published: Tue, 11 Aug 2020 12:50:49 EDT

Researchers demonstrated how a deep learning framework they call 'Brain-NET' can accurately predict a person's level of expertise in terms of their surgical motor skills, based solely on neuroimaging data.

Clot permeability linked to first-attempt success of aspiration thrombectomy

Published: Tue, 11 Aug 2020 12:01:24 EDT

A multicenter study reports that clot perviousness, or permeability - the ability for contrast used during the initial imaging workup to seep through a clot, as estimated by CT imaging - is associated with ''first-pass success'' in large vessel occlusion (LVO) strokes initially treated with an aspiration thrombectomy approach. LVO stroke treatment success using a stent retriever-first approach to remove the brain vessel blockage was less dependent on clot perviousness.

Gulf war illness, chronic fatigue syndrome distinct illnesses, study suggests

Published: Mon, 10 Aug 2020 10:33:00 EDT

A brain imaging study of veterans with Gulf War illness (GWI) and patients with chronic fatigue syndrome (CFS) (sometimes called myalgic encephalomyelitis), has shown that the two illnesses produce distinctly different, abnormal patterns of brain activity after moderate exercise.

Body weight has surprising, alarming impact on brain function

Published: Wed, 05 Aug 2020 11:01:27 EDT

As a person's weight goes up, all regions of the brain go down in activity and blood flow, according to a new brain imaging study.

Potential preterm births in high risk women predicted to 73% accuracy, by new technique

Published: Wed, 29 Jul 2020 11:47:30 EDT

A new technique that can spot a potential preterm birth in asymptomatic high-risk women, with up to 73% accuracy months before delivery, has been developed by scientists.

New machine learning method allows hospitals to share patient data -- privately

Published: Tue, 28 Jul 2020 11:35:37 EDT

Researchers have shown that an approach called federated learning is successful in the context of brain imaging, by being able to analyze magnetic resonance imaging (MRI) scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.

Novel label-free imaging technique brings out the inner light within T cells

Published: Mon, 27 Jul 2020 11:47:27 EDT

A new imaging method uses the natural autofluorescence within cells to assess T cell activity. The technique could help assess T cell involvement in immunotherapies.

Simple urine test could significantly improve detection of adrenal cancer

Published: Thu, 23 Jul 2020 18:57:38 EDT

Using a simple urine test alongside routine imaging for patients with adrenal masses could speed up adrenal cancer diagnosis, improving patient's prognosis and reducing the need for invasive diagnostic procedures, a new multi-center study found.

New CT scan method lowers radiation exposure

Published: Thu, 23 Jul 2020 11:59:09 EDT

A CT scan technique that splits a full X-ray beam into thin beamlets can deliver the same quality of image at a much reduced radiation dose, according to a new study. The technique, demonstrated on a small sample in a micro CT scanner, could potentially be adapted for medical scanners and used to reduce the amount of radiation millions of people are exposed to each year.

World's smallest imaging device has heart disease in focus

Published: Tue, 21 Jul 2020 10:22:01 EDT

A team of researchers has used 3D micro-printing to develop the world's smallest, flexible scope for looking inside blood vessels.

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