Predicting lung cancer; trainees' shortcomings; pancreatic know-how

Dear AuntMinnieEurope Member,

After important new research published this week, greater use may now be made of lung cancer risk prediction models to identify high-risk patients for CT screening. The Liverpool Lung Project risk model reportedly has a good ability to distinguish persons who will or will not develop lung cancer -- and who thus are good candidates for screening. Go to our CT Digital Community or click here.

Junior doctors often organize and request imaging studies, so it's vital they're aware of the radiation exposure level of imaging exams. It's of serious concern, therefore, that a new survey conducted at one of London's top hospitals suggests many less experienced doctors are unaware of radiation doses and the possible risks of ionizing radiation. To find out more, go to the Digital X-Ray Community or click here.

The Amsterdam research group led by Dr. Jaap Stoker has a fine reputation, and they have underlined the need for radiologists to boost their know-how of pancreatic cancer staging. Precise staging is crucial for proper patient management and determining prognosis, the team noted. Get the story here.

A computer-assisted surgery system that employs image analysis methods is showing promise as an orthopedic tool, Israeli authors explain in the European Journal of Radiology. Visit our Advanced Visualization Digital Community or click here.

The Editorial Advisory Board plays an important role in directing and overseeing our content, and we have a new adviser: Dr. Arturo Chiti from Milan. His knowledge of molecular imaging and nuclear medicine will be of great benefit to our website. Click here to read about our board members.

Finally, the annual meeting of the European Society of Cardiology (ESC) begins in Munich on Saturday and I will be at the congress. Look out for the coverage next week in our Cardiac Imaging Digital Community.

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