Evidence map›Paper›PMID 41484615›Full record

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.

Yun-Sik Dho, Sang Hoon Shin, Ho-Shin Gwak, Heon Yoo, Kyu Chang Wang

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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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3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yun-Sik Dho *Neuro-Oncology Clinic, National Cancer Center, Goyang-si, Republic of Korea.
Sang Hoon Shin *Neuro-Oncology Clinic, National Cancer Center, Goyang-si, Republic of Korea.
Ho-Shin GwakNeuro-Oncology Clinic, National Cancer Center, Goyang-si, Republic of Korea. nsghs@ncc.re.kr.
Heon YooNeuro-Oncology Clinic, National Cancer Center, Goyang-si, Republic of Korea.
Kyu Chang WangNeuro-Oncology Clinic, National Cancer Center, Goyang-si, Republic of Korea.

Funding

National Cancer Center NCC 2510490-1
6 · The paper itself

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.

Indexed as

Cerebrospinal FluidCytodiagnosisMeningeal CarcinomatosisMeningeal NeoplasmsAdolescentAdultAgedAged, 80 and overFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesYoung AdultCerebrospinal fluidCytologyLeptomeningeal metastasisMRISymptoms/signs

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.