[Diagnosis, evolution and prognosis of prenatally diagnosed suprasellar cysts]

F Di Rocco1, A André1, T Roujeau1

  • 1Service de neurochirurgie pédiatrique, hôpital Necker-Enfants-Malades, AP-HP, 149, rue de Sèvres, 75743 Paris cedex 15, France.

Neuro-Chirurgie
|November 19, 2016
PubMed

Insights

Suprasellar arachnoid cysts (SAC) in children are increasingly diagnosed prenatally. A new classification aids in predicting prognosis and guiding treatment for these rare cysts.

Area of Science:

  • Pediatric Neurosurgery
  • Fetal Medicine
  • Developmental Neurology

Background:

  • Suprasellar arachnoid cysts (SAC) are rare but increasingly detected prenatally.
  • Improved prenatal imaging has led to a rise in SAC diagnoses.

Purpose of the Study:

  • To retrospectively analyze 15 antenatally diagnosed SAC cases.
  • To characterize radiological features, treatment strategies, and outcomes of pediatric SAC.
  • To propose a classification system for improved prognosis and treatment decisions.

Main Methods:

  • Retrospective review of 15 antenatal SAC cases (2005-2015).
  • Analysis of radiological characteristics, treatment modalities (ventriculo-cysto-cisternostomy, fetoscopy, shunt, craniotomy, observation), and long-term follow-up (mean 71 months).
  • Classification into three subtypes: SAC-1 (hydrocephalus), SAC-2 (interpeduncular cistern expansion), and SAC-3 (asymmetrical).

Main Results:

  • Three subtypes identified: SAC-1 (13%), SAC-2 (53%), SAC-3 (33.5%).
  • Surgical outcomes were initially favorable in 100% of treated cases, with one requiring re-treatment.
  • Non-operated SAC-2 patients showed no radiological changes; long-term issues included endocrine disruption, developmental delay, neuropsychological impairments, and epilepsy in a minority of cases.

Conclusions:

  • Prenatal MRI and ultrasound can differentiate three SAC subtypes.
  • SAC-1 and SAC-3 have excellent prognoses with perinatal treatment.
  • SAC-2 often benefits from monitoring and typically remains asymptomatic, allowing for better prognosis estimation and tailored treatment.