ArticleJournal of neuro-oncology2026
Re-evaluation of cerebrospinal fluid cytology for diagnosis of leptomeningeal metastasis based on radiological features, patient symptoms/signs, and clinical follow-up.
Article in Journal of neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Clinical and CSF Measurements for Identification of Leptomeningeal Metastasis in Lung Adenocarcinoma.Diagnostics (Basel, Switzerland) · 2026Article
- Case report: Systemic T-DXd and bevacizumab plus local therapy prolongs survival in breast cancer leptomeningeal metastasis: a case series and literature review.Frontiers in oncology · 2026Article
- Spinal leptomeningeal disease in patients with solid tumors: A single-center study on clinical presentation, diagnosis, treatment, and outcomes.Brain & spine · 2026Article
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Authors and funding
5 authors.
Funding
Abstract
purposeCerebrospinal fluid (CSF) cytology presents challenges in the diagnosis of leptomeningeal metastasis (LM) due to frequent false negatives. We re-evaluated the diagnostic accuracy of CSF cytology with reference to accompanying magnetic resonance imaging (MRI) findings and LM symptoms/signs, incorporating longitudinal follow-up data.
methodsIn total, 697 consecutive CSF samples obtained for LM diagnosis from 234 patients were analyzed. The final determination of LM was made using 3-month follow-up data, considering therapeutic interventions.
resultsConcordance among the three diagnostic factors—CSF cytology, MRI findings, and LM symptoms/signs—was observed in 70% of LM-positive cases and 53% of LM-negative cases. Clinical scenarios with longitudinal data were classified into 13 categories, with final diagnoses of true positive (n = 238, 34.1%), false positive (n = 30, 4.3%), true negative (n = 261, 37.4%), and false negative (n = 168, 24.1%). CSF cytology alone yielded an area under the curve (AUC) of 0.737; the combined three-factor model achieved an AUC of 0.981. Diagnostic evaluation of eight combinations derived from the dichotomized three factors showed that cases concordant for all three factors had a 100% positive predictive value (PPV) and 97.8% negative predictive value. Among discordant cases, LM symptoms/signs demonstrated the highest predictive value (PPV: 97.1% with negative cytology findings and 100% with negative MRI findings). MRI findings alone showed limited diagnostic value (PPV: 45.3%) when the other two factors were discordant.
conclusionThe relatively high discordance among the three diagnostic factors highlights the need for a new combined diagnostic method for LM that incorporates therapeutic interventions and longitudinal follow-up data.
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