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Non-diagnostic stereotactic intracranial biopsies: a 15-year institutional experience

Year: 2026
Type: article
Study design: Observational Study
Abstract: PURPOSE: Stereotactic brain biopsies are not without risk, and non-diagnostic biopsies can delay the instigation of appropriate treatment. Institutions rarely report their negative (non-diagnostic) results; this reporting is essential for quality and improvement in neurosurgical departments. METHODS: We report a retrospective single-center decade-long cohort of non-diagnostic stereotactic biopsies. We report the indications for biopsy, histopathological findings, rates of re-biopsy, lesion characteristics and biopsy success metrics such as depth-do-diameter, biopsy accessibility metrics and true (TN) and false (FN) negative rates. RESULTS: Of 387 biopsies, 23 were non-diagnostic (5.94%). Among 196 robot-assisted procedures, the non-diagnostic rate was 5.05%, compared to 6.88% across 189 non-robot-assisted biopsies (p = 0.52). The anticipated diagnosis was tumor/metastasis in 65% of cases. 26% of patients were asymptomatic prior to biopsy. The target was subcortical in 61% of cases, with median volume 8.36cm3 and lesion depth 65.05 mm. Deeper lesions were larger (r = 0.47, 95%CI:0.02–0.76, p = 0.036). Biopsy showed indeterminate mild gliosis in 60.9%, normal parenchyma in 34.8% and hemorrhage in one case. Two patients underwent re-biopsy. Post-biopsy, 52% were treated medically, 26% remained under observation, the remainder were palliated or underwent surgery. On review of prior and future clinical/radiological/histopathological data, 7 (30.4%) were TN, 14 (60.8%) were FN. No TN biopsies occurred at a lesion depth of less than 50 mm. CONCLUSIONS: The optimal method and equipment for stereotactic biopsies remains an area of personal and institutional preference. Internal review of these metrics can identify areas for improvement of service delivery in a procedure that is central to the diagnosis and treatment of patients with brain lesions.
Language: English
Subfield: Genetics
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $4,590
OpenAlex ID: W7155104299
FWCI:
Cites: 36
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