This work introduces the concept of MR metabolic phenotyping (MRMP), a method that combines the high-resolution anatomical context of MRI and the highly specific metabolic information of MR spectroscopic imaging via unsupervised learning. The value of this technique was shown for the long‑term follow up of IDH‑mutated low‑grade gliomas where high sensitivity to changes in the metabolic composition of the major tissue compartments was achieved.
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