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Purpose <p>There are no specific guidelines for posterior cranial fossa decompression (PCFD) in asymptomatic Chiari Malformation Type I (CM-I) patients with autism spectrum disorder (ASD). However, some studies suggest that surgery for symptomatic CM-I may improve ASD symptoms. This study aims to identify skull and brain morphometric parameters that could predict surgical outcomes in symptomatic CM-I with ASD, using artificial intelligence (AI).</p> Methods <p>This study included pediatric patients diagnosed with both symptomatic CM-I and ASD who underwent posterior cranial fossa (PCF) surgery. Eleven morphometric parameters were measured using computed tomography (CT) and magnetic resonance imaging (MRI) scans, including cerebellar tonsil descent, tentorium length and angle, cerebellum-to-PCF area ratio, PCF-to-cerebrum area ratio, PCF height and diameter, and various distances involving the corpus callosum, pons, fastigium, foramen magnum, and clivus length. ASD symptom changes were assessed through phone interviews and outpatient evaluations. A binary tree classifier AI model was used to identify patients who improved post-surgically.</p> Results <p>Our analysis showed that patients with a larger tentorium angle experienced some improvements in ASD symptoms after surgery, whereas those with a significantly smaller tentorium angle showed no improvement. AI identified a tentorium angle of 89.55° as a potential cut-off for distinguishing between outcome groups. No other morphometric parameters significantly influenced ASD symptom outcomes.</p> Conclusions <p>This study evaluates the relevance of the tentorium angle width as a potentially valuable MRI-based morphometric parameter that could guide neurosurgeons in the decision-making process for this unique patient population. These findings may contribute to a more tailored approach for managing patients with CM-I and coexistent ASD.</p>

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Individuation of predictive parameters of posterior cranial fossa decompression in pediatric patients with Chiari I malformation and autism spectrum disorder

  • 期刊论文

  • 发表日期：

    2026年1月14日

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  • Elena Ferri,
  • Alice Noris,
  • Tayler Appleton,
  • Simone Peraio,
  • Andrea Di Rita,
  • Chiara Spezzani,
  • Roberta Battini,
  • Ludovico D’Incerti,
  • Matteo Lenge,
  • Michela Sica,
  • Letizia Macconi,
  • Luca Mesin,
  • Matilda Fontanarosa,
  • Matteo Raggi,
  • Flavio Giordano

摘要

Purpose

There are no specific guidelines for posterior cranial fossa decompression (PCFD) in asymptomatic Chiari Malformation Type I (CM-I) patients with autism spectrum disorder (ASD). However, some studies suggest that surgery for symptomatic CM-I may improve ASD symptoms. This study aims to identify skull and brain morphometric parameters that could predict surgical outcomes in symptomatic CM-I with ASD, using artificial intelligence (AI).

Methods

This study included pediatric patients diagnosed with both symptomatic CM-I and ASD who underwent posterior cranial fossa (PCF) surgery. Eleven morphometric parameters were measured using computed tomography (CT) and magnetic resonance imaging (MRI) scans, including cerebellar tonsil descent, tentorium length and angle, cerebellum-to-PCF area ratio, PCF-to-cerebrum area ratio, PCF height and diameter, and various distances involving the corpus callosum, pons, fastigium, foramen magnum, and clivus length. ASD symptom changes were assessed through phone interviews and outpatient evaluations. A binary tree classifier AI model was used to identify patients who improved post-surgically.

Results

Our analysis showed that patients with a larger tentorium angle experienced some improvements in ASD symptoms after surgery, whereas those with a significantly smaller tentorium angle showed no improvement. AI identified a tentorium angle of 89.55° as a potential cut-off for distinguishing between outcome groups. No other morphometric parameters significantly influenced ASD symptom outcomes.

Conclusions

This study evaluates the relevance of the tentorium angle width as a potentially valuable MRI-based morphometric parameter that could guide neurosurgeons in the decision-making process for this unique patient population. These findings may contribute to a more tailored approach for managing patients with CM-I and coexistent ASD.