Spatially identifying regions of tumor recurrence in patients with suspected recurrent glioma using physiologic MRI and machine learning.
- DOI
- 10.1038/s41746-026-02823-y
- Published
- 2026 Jun 25
- Container
- NPJ digital medicine
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1038/s41746-026-02823-y,
title = {Spatially identifying regions of tumor recurrence in patients with suspected recurrent glioma using physiologic MRI and machine learning.},
author = {Ellison J and Tran N and Luks TL and Singh P and Jakary A and Ngan T and Cluceru J and Phillips JJ and Li Y and Molinaro AM and Pedoia V and Shai A and Nair D and Villanueva-Meyer JE and Berger MS and Hervey-Jumper SL and Aghi M and Chang SM and Lupo JM},
year = {2026},
journal = {NPJ digital medicine},
doi = {10.1038/s41746-026-02823-y},
url = {https://doi.org/10.1038/s41746-026-02823-y}
}RIS
TY - JOUR TI - Spatially identifying regions of tumor recurrence in patients with suspected recurrent glioma using physiologic MRI and machine learning. AU - Ellison J AU - Tran N AU - Luks TL AU - Singh P AU - Jakary A AU - Ngan T AU - Cluceru J AU - Phillips JJ AU - Li Y AU - Molinaro AM AU - Pedoia V AU - Shai A AU - Nair D AU - Villanueva-Meyer JE AU - Berger MS AU - Hervey-Jumper SL AU - Aghi M AU - Chang SM AU - Lupo JM PY - 2026 JO - NPJ digital medicine DO - 10.1038/s41746-026-02823-y UR - https://doi.org/10.1038/s41746-026-02823-y ER -
APA
J, E., N, T., TL, L., P, S., A, J., T, N., J, C., JJ, P., Y, L., AM, M., V, P., A, S., D, N., JE, V., MS, B., SL, H., M, A., SM, C., & JM, L. (2026). Spatially identifying regions of tumor recurrence in patients with suspected recurrent glioma using physiologic MRI and machine learning.. NPJ digital medicine. https://doi.org/10.1038/s41746-026-02823-y
Source records
- pubmed · retrieved 2026-09-26T14:32:00.576Z