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A new way to sort brain tumor scans into three groups

Original title: Development of the glioma imaging complexity score (GICS): a volumetric MRI-based stratification framework.

How far along is this research?

This was tested in people. That is the most reliable kind of research we share.

This is an early research tool built from stored scans, and it is not something a doctor can use for you yet.

The short version

Researchers built a simple system that sorts brain tumor scans into low, middle, and high complexity groups based on the tumor's size.

What was studied. Researchers looked back at MRI scans from 1,251 people with glioma: A tumor that starts in the glial cells, the support cells of the brain and spinal cord. Gliomas are graded 1 to 4 by how fast they tend to grow. See the glossary. The scans came from a public research collection. A computer measured the tumor's total size, its swelling, its active parts, its dead parts, and its width.

What they found. The scans were split into three even groups of 417 cases each. The average total tumor size rose from 35.40 cm3 in the lowest group to 162.62 cm3 in the highest group. Scans in the higher groups also showed more swelling, a wider tumor, and larger active and dead areas inside the tumor.

What this means, and what it doesn't

What it could mean: This is a research tool, not a treatment. If it holds up in future work, it could give doctors a shared way to describe how complex a tumor looks on a scan. That might help teams compare cases and plan surgery. It does not change what treatment anyone gets today.

What it doesn't mean: This does not mean there is a new drug or a new therapy. It is not a cure, and it is not a promise of one. The researchers call this an early, first draft model. They built it by looking back at stored scans, not by testing anything in patients. It has not been used in real care, and it has not been shown to help anyone live longer or feel better. Your own scan results and your own care plan do not change because of this study.

Source: PubMed, June 29, 2026 · Read the original

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