A dual-axis cisternal classification for congenital intracranial cystic lesions: implications for surgical strategy and long-term prognosis - Report - MDSpire
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A dual-axis cisternal classification for congenital intracranial cystic lesions: implications for surgical strategy and long-term prognosis
Two-Axis Cisternal Classification of Congenital Intracranial Cysts: Surgical and Outcome Impact
Overview
This study introduces a dual-axis cisternal classification system for congenital intracranial cystic lesions, correlating lesion topography with surgical complexity, extent of resection, and recurrence risk. Analysis of 110 histologically confirmed cases demonstrates that cisternal localization predicts clinical outcomes more effectively than histopathological subtype alone.
Background
Congenital intracranial cystic lesions such as epidermoid, dermoid, neurenteric, Rathke’s cleft, and colloid cysts arise from embryologic developmental errors and present neurosurgical challenges due to their variable locations and potential for neurovascular compression or CSF obstruction. Traditional classification relies on histopathology, which offers limited guidance for surgical planning, especially in deep or complex anatomical sites. Recent advances emphasize the importance of brain cisternal anatomy as a surgical roadmap, yet prior studies have not integrated detailed cisternal topography into prognostic models. This study proposes a medial–lateral and dorsal–ventral dual-axis classification to improve preoperative planning and outcome prediction.
Data Highlights
Parameter
Value
Number of patients
110
Study period
2008–2024
Median-paramedian classification
Median, Paramedian, Multicompartmental
Dorsal-ventral classification
Dorsal, Ventral, Multicompartmental
Gross total resection (GTR)
Defined by no residual lesion on 3-month MRI
Follow-up duration
Minimum 12 months
Inter-rater agreement (Cohen’s kappa)
>0.80 (excellent)
Key Findings
The dual-axis cisternal classification system reliably categorizes congenital intracranial cysts based on medial–lateral and dorsal–ventral anatomical dimensions with excellent inter-rater agreement (κ > 0.80).
Cisternal topography correlates independently with surgical complexity, extent of resection, and recurrence risk, outperforming histopathological subtype in predicting clinical outcomes.
Median cisternal lesions are predominantly midline and central, often involving interpeduncular and prepontine cisterns, while paramedian lesions are lateral and accessed via lateral corridors.
Ventral lesions are located anterior to the brainstem and often involve critical neurovascular structures, impacting surgical approach and morbidity.
Dorsal lesions are posterior or superior to the brainstem, frequently involving quadrigeminal and pericallosal cisterns, with distinct surgical considerations.
Clinical Implications
Incorporating the dual-axis cisternal classification into preoperative assessment enhances surgical planning by delineating lesion accessibility and risk profiles more precisely than histology alone. This topography-informed model aids neurosurgeons in selecting optimal surgical corridors, anticipating technical challenges, and counseling patients regarding prognosis and recurrence risk. Furthermore, it supports tailored follow-up strategies based on lesion location and complexity.
Conclusion
The two-axis cisternal classification system provides a robust anatomical framework that improves prediction of surgical outcomes and recurrence in congenital intracranial cystic lesions. Integrating this model into clinical practice may optimize surgical decision-making and long-term patient management.
References
Multiple sources (2008–2024) -- A Two-Axis Classification System for Congenital Intracranial Cystic Lesions