At the Radiological Society of North America 2018 meeting in Chicago on Nov. 26, 2018, researchers acknowledged the fact that gadolinium accumulates in the brain and body and agreed that steps need to be taken to limit the amount of exposure. They stated that it is imperative to “mitigate potential patient risks while maximizing the clinical value of the MRI exams”.

A study involving 200 patients was presented which involved a comparison of pre-contrast scans, low-dose scans using 90% less than the usual gadolinium dose and full dose scans. An algorithm was devised using artificial intelligence (AI) that was able to “approximate” the full-dose images, saving the patient from receiving the full dose of gadolinium.

The researchers reported that the AI-enhanced MRI images using low doses of gadolinium were comparable to full-dose scans.

The team’s next step is to study the algorithm further using a broad range of MRI scanners.

Until an alternative to gadolinium is developed, it is encouraging to know that artificial intelligence is able to ensure that substantially lower doses of gadolinium can be used effectively, thereby reducing patients’ exposure.

To read the full story: https://www.radiologybusiness.com/sponsored/9667/topics/care-delivery/ai-gadolinium-medical-imaging-rsna-radiology

Please join the growing list of advocates and sign our petition so we can help promote the development of safer alternatives and effective treatments to remove gadolinium from patients affected by it.