Active Brain & Nervous System NIHR-supported project Cancer

TOTEM Study: TOTEM: Total Body PET - Exploring new iMaging protocols for clinical research

In plain English

AI plain-English summary

A single Total Body PET scanner now operating in the UK can capture a patient’s entire body in one go, rather than stitching together multiple scans. This new machine is faster and delivers a lower radiation dose, but no one has yet agreed on the best way to use it or interpret the data it produces. The TOTEM study will test different scanning protocols on patients undergoing routine clinical PET scans, then refine the methods for acquiring and analysing the images. The team will also apply machine learning to speed up data processing. If successful, the work will establish standardised, evidence-based protocols that minimise scan time, radiation exposure, and analysis time. That could make Total Body PET practical for wider clinical research—for example, tracking how a drug distributes through the entire body in a single snapshot, or studying slow-moving biological processes that conventional PET cannot capture. The project is not about a new treatment or device; it is about creating the technical foundation needed to use a powerful new imaging tool safely and consistently.

View original technical description
The introduction of Total Body Positron Emission Tomography (TBP) represents a major step change in positron emission tomography (PET) technology, with simultaneous acquisition of PET scan data over most of the body in one scan rather than in several steps. This allows faster scans and at a lower radiation dose with the potential to extend research capabilities. As there is only very limited experience worldwide of implementing TBP (and only one as yet in the UK), there is not yet any evidence-based agreement on optimal methods for acquiring and analysing the scans. The primary objective of the TOTEM study is to optimise new imaging protocol acquisition methods for TBP from data acquired in patients undergoing clinical PET scans using clinical tracers. Secondary objectives will be (i) to optimise scan data analysis methods, and (ii) to use novel analysis methods including machine learning. Our overall aims will be to minimise radiation dose, scan time and analysis time.

Researchers

Gary Cook (Principal Investigator)

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