Apparent diffusion coefficient for genetic characterisation of untreated adult gliomas: a meta-analysis stratified by methods
This meta-analysis supports ADC as an imaging biomarker in untreated gliomas, specifically to predict IDH status. ROI measurement, particularly by a single ADC<sub>mean</sub>, is rapid, reproducible, and appears statistically equivalent to volumetric readouts. We found no evidence for superior diagnostic accuracy by ADC normalization. Published ADC thresholds have been summarized for consideration of prospective testing across institutions.
Authors
- Faheem Bhatti (ORCID: https://orcid.org/0000-0003-3897-4196)
- Nico Sollmann (ORCID: https://orcid.org/0000-0002-8120-2223)
- Stefanie Thust (ORCID: https://orcid.org/0000-0001-5136-6000)
- Robert A. Dineen (ORCID: https://orcid.org/0000-0002-9523-2546)
- Joachim Strobel (ORCID: https://orcid.org/0009-0006-0332-5478)
- Christopher R. Tench (ORCID: https://orcid.org/0000-0001-9067-0494)
- Matthew Grech‐Sollars (ORCID: https://orcid.org/0000-0003-3881-4870)
Institutions
- Nottingham University Hospitals NHS Trust (GB)
- University of Nottingham (GB)
- TUM Klinikum (DE)
- Brain Tumour Research (GB)
- Nottingham Biomedical Research Centre (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- University Hospital Ulm (DE)
- University College London (GB)
- Technical University of Munich (DE)
Publication Details
- Journal
- Neuro-Oncology Advances
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1093/noajnl/vdaf103
- Citations
- 2
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.25
Funders
- National Institute for Health and Care Research