A computer tool tries to tell where a brain tumor spread from, using MRI scans
Original title: Modality-level attribution and redundancy-aware radiomics for MRI-based differentiation of melanoma and NSCLC brain metastases.
How far along is this research?
- Lab cells
- Animals
- Review
- Tested in people
This was tested in people. That is the most reliable kind of research we share.
This was an early test of a computer tool on scans already collected, and it still needs to be checked in other hospitals.
The short version
Researchers built a computer tool that looks at brain MRI scans and tries to guess whether the cancer started in the skin or the lung.
What was studied. Brain metastases are tumors that spread to the brain from cancer somewhere else. Researchers took MRI scans of these tumors and used four kinds of scan images. A computer program measured patterns in the images and tried to sort melanoma, a skin cancer, from non-small cell lung cancer.
What they found. The tool could tell the two apart somewhat better than chance, but it was far from always right. The researchers called the results promising but preliminary. They also found that two of the scan types, FLAIR and T2, mattered most to the tool's answers.
What this means, and what it doesn't
What it could mean: Right now, doctors often need a biopsy or other tests to find where a brain tumor spread from. Someday a tool like this might give doctors an extra clue from a scan you already had. It would not replace the tests you get now.
What it doesn't mean: This is not a treatment. It does not help anyone live longer, and it is not a cure. This was an early study on scans that had already been collected. The researchers say it must be tested on scans from other hospitals, and checked against real radiologists, before it could be used in care. That work has not been done yet. No patient can get this tool today.
Source: PubMed, June 29, 2026 · Read the original
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