Carbon-Assisted Minimally Invasive Transtubular Approach for Intercostal Nerve Schwannoma.


Journal

Operative neurosurgery (Hagerstown, Md.)
ISSN: 2332-4260
Titre abrégé: Oper Neurosurg (Hagerstown)
Pays: United States
ID NLM: 101635417

Informations de publication

Date de publication:
01 11 2023
Historique:
received: 06 05 2023
accepted: 07 06 2023
medline: 23 10 2023
pubmed: 5 9 2023
entrez: 5 9 2023
Statut: ppublish

Résumé

The intraoperative localization of an intercostal nerve schwannoma (INS) is extremely difficult because the lesion is generally not palpable, and the fluoroscopic visualization of anatomic landmarks in the ribs is unsatisfactory. Using activated carbon suspension to mark the soft-tissue approach could improve INS localization. We present a novel, simple, reproducible carbon-assisted minimally invasive transtubular approach for an INS. The patient was a 57-year-old man with a painful 12th left INS arising below the floating rib. A computed tomography image-guided, tumor-to-skin marking with aqueous carbon suspension was performed 48 hours before surgery. A minimally invasive transtubular approach following the carbon path allowed a precise tumor location. The INS was completely removed. The patient's thoracic radicular pain was immediately relieved after surgery. He was discharged the following day with residual numbness on the left thoracic side. At the 5-year follow-up, no tumor recurrence was noted in the control MRI. This article presents an alternative novel technique for resecting an intercostal schwannoma. Using a transtubular approach with carbon-marking assistance allowed a tumor gross total resection with immediate pain relief and a successful outcome.

Sections du résumé

BACKGROUND AND OBJECTIVES
The intraoperative localization of an intercostal nerve schwannoma (INS) is extremely difficult because the lesion is generally not palpable, and the fluoroscopic visualization of anatomic landmarks in the ribs is unsatisfactory. Using activated carbon suspension to mark the soft-tissue approach could improve INS localization. We present a novel, simple, reproducible carbon-assisted minimally invasive transtubular approach for an INS.
METHODS
The patient was a 57-year-old man with a painful 12th left INS arising below the floating rib. A computed tomography image-guided, tumor-to-skin marking with aqueous carbon suspension was performed 48 hours before surgery. A minimally invasive transtubular approach following the carbon path allowed a precise tumor location.
RESULTS
The INS was completely removed. The patient's thoracic radicular pain was immediately relieved after surgery. He was discharged the following day with residual numbness on the left thoracic side. At the 5-year follow-up, no tumor recurrence was noted in the control MRI.
CONCLUSION
This article presents an alternative novel technique for resecting an intercostal schwannoma. Using a transtubular approach with carbon-marking assistance allowed a tumor gross total resection with immediate pain relief and a successful outcome.

Identifiants

pubmed: 37668999
doi: 10.1227/ons.0000000000000859
pii: 01787389-202311000-00008
doi:

Types de publication

Case Reports Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

449-452

Informations de copyright

Copyright © Congress of Neurological Surgeons 2023. All rights reserved.

Références

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Auteurs

Federico Landriel (F)

Neurosurgical Department, Spine Unit, Hospital Italiano de Buenos Aires, Buenos Aires , Argentina.

Fernando Padilla Lichtenberg (F)

Neurosurgical Department, Spine Unit, Hospital Italiano de Buenos Aires, Buenos Aires , Argentina.

Liezel Ulloque-Caamaño (L)

Neurosurgical Department, Hospital Ángel C. Padilla, San Miguel de Tucumán , Argentina.

Emily Guerra (E)

Neurosurgical Department, Spine Unit, Hospital Italiano de Buenos Aires, Buenos Aires , Argentina.

Florencia Casto (F)

Neurosurgical Department, Spine Unit, Hospital Italiano de Buenos Aires, Buenos Aires , Argentina.

Santiago Hem (S)

Neurosurgical Department, Spine Unit, Hospital Italiano de Buenos Aires, Buenos Aires , Argentina.

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Classifications MeSH