Comparison of the Diagnostic Significance of CSF Metagenomic Next-generation Sequencing Copy Number Variation Analysis and Cytology in Leptomeningeal Malignancy

Author:

Zhang Le1,Fang Kechi2,Ren Haitao1,Fan Siyuan1,Wang Jing2,Guan Hongzhi1

Affiliation:

1. Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

2. CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences

Abstract

Abstract Purpose The early diagnosis of leptomeningeal malignancy remains a formidable challenge in clinical practice. This study aimed to investigate the diagnostic potential of CSF metagenomic next-generation sequencing (mNGS) and chromosome copy number variations (CNVs) analysis in the detection of leptomeningeal malignancy. The diagnostic significance of mNGS-CNVs was compared with that of cytology. Methods A total of 51 patients were enrolled. 34 patients were diagnosed with central nervous system (CNS) leptomeningeal malignancy (tumor group), and 17 patients were diagnosed with CNS inflammatory diseases (nontumor group). We explored a well-designed approach utilizing the CSF mNGS-CNVs technique for the early diagnosis of leptomeningeal malignancy. The diagnostic performance of CSF cytology and mNGS-CNVs was evaluated. Results CSF cytology displayed a sensitivity of 82.35% (95% CI: 66.83%-92.61%) and a specificity of 94.12% (95% CI: 69.24%-99.69%). In comparison, CSF mNGS-CNVs exhibited a slightly lower sensitivity of 70.59% (95% CI: 52.33%-84.29%), but an impressive specificity of 100% (95% CI: 77.08%-100%). Notably, comparative analysis revealed no significant difference in diagnostic consistency between cytology and mNGS-CNVs. However, mNGS-CNVs exhibited a higher specificity than cytology. Conclusion Our study highlighted the advantage of CSF mNGS-CNVs as a diagnostic tool for leptomeningeal malignancy when compared to traditional cytology. This comprehensive approach provides a promising strategy for utilizing CSF mNGS in the detection of CNS tumors.

Publisher

Research Square Platform LLC

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