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A radiological classification system for intraneural vascular anomalies: assessment of potential for resection with high-resolution MRI

  • Clinical Article - Neurosurgical Anatomy
  • Published:
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Abstract

Background

Intraneural hemangiomas and vascular malformations are rare, with approximately 50 cases reported in the literature. They present a therapeutic challenge; surgical resection can result in damage to the nerve and lesion recurrence is common. We introduce a new framework to classify intraneural vascular anomalies in relation to the anatomic compartments of the nerve and assess amenability to surgical resection.

Methods

We retrospectively reviewed cases of intraneural hemangiomas and vascular malformations treated at our institution between 2003 and 2013 that had high-resolution 3-T magnetic resonance imaging (MRI). A review of the literature was also performed. Our cases and reports in the literature with available MRI data were sub-categorized according to their relationship to the paraneurium and epineurium of the nerve.

Results

Nine patients were identified with intraneural (subparaneurial or subepineurial) vascular lesions. Two patients had a predominantly subparaneurial involvement of the nerve, six patients had predominantly subepineurial involvement, and one patient exhibited extensive involvement in both compartments. Four patients were managed surgically and the rest conservatively. Targeted resection of two subparaneurial hemangiomas provided complete relief of symptoms and freedom from recurrence at 18 month and 24 months respectively. One patient with extensive subepineurial and extraneural vascular malformations did not appear to benefit from sub-total resection with interfascicular dissection. No surgical morbidity was noted in any of the cases.

Conclusions

We believe that the subparaneurial compartment—a potential space between the epineurium and paraneurium—provides a tissue plane within which benign vascular lesions can occur. Hemangiomas and vascular malformations are complex and can occupy different intraneural and extraneural compartments. The anatomic framework aids surgical decision-making and ensures that all components of the lesion are considered. We advocate a multimodal approach in the treatment of these rare lesions.

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Acknowledgments

The authors thank Mrs. M. Kunen for her wonderful illustration.

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Correspondence to Robert J Spinner.

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Funding

No funding was received for this research.

Ethical approval

This study was conducted in accordance with the ethical standards of our Institutional Review Board and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

For this type of study formal consent is not required. All clinical data was used in accordance with our Institutional Review Board and Minnesota Research Authorization requirements.

Conflict of interest

All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest, or non-financial interest in the subject matter or materials discussed in this manuscript.

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Comments

This is a very well documented article that provides a logical classification system to deal with intraneural vascular anomalies. The authors provide clinical examples where radiographic preoperative imaging characteristics that show that these vascular anomalies, such as intraneural hemangiomas, that are limited to the subparaneurial compartment can undergo surgical resection with little or no surgical morbidity and good symptom relief. The same cannot be said for intraneural vascular anomalies that extend into the sub-epineurial compartment. Although not surprising, this article provides a way to classify these anomalies which hopefully future clinical studies can use to further demonstrate its clinical utility as well as limitations.

Michel Kliot

Illinois, USA

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Prasad, N.K., Chawla, A., Lalezari, S. et al. A radiological classification system for intraneural vascular anomalies: assessment of potential for resection with high-resolution MRI. Acta Neurochir 158, 329–334 (2016). https://doi.org/10.1007/s00701-015-2663-6

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  • DOI: https://doi.org/10.1007/s00701-015-2663-6

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