Neuro / Head & NeckAI / InformaticsResearch
AI Volumetric Assessment Detects Internal Regrowth in Vestibular Schwannomas After Radiosurgery
Clinical neuroradiology2d ago
AI volumetric segmentation after vestibular schwannoma radiosurgery tracked internal regrowth with median Dice 0.85 vs expert reads; internal regrowth was just 4.7% of cases but accounted for 27% of radiographic failures (170 MRI scans, 85 patients).
- Retrospective single-center study (2001–2023) compared a lab-developed CNN segmentation tool with expert manual segmentation on 170 MRI scans from 85 patients with unilateral vestibular schwannoma after stereotactic radiosurgery.
- Internal regrowth was rare (4.7% of cases) but overrepresented among radiographic failures (27%); within this subset AI achieved median Dice 0.85 and concordance correlation coefficient 0.87, with median percent difference 9.29% (range 3.57–20.78%).
- AI classification of radiographic failure (≥20% volume increase) matched expert assessment in the internal regrowth subset; the authors describe the work as preliminary.
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