Cerebrospinal Fluid Leak Repair: Usefulness of Intrathecal Fluorescein for Correct Topographic Identification of the Skull Base Defects.

Anterior skull base CSF rhinorrhea Computed tomography Endoscopic skull base surgery Endoscopy Skull base Skull base repair

Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
04 2022
Historique:
received: 05 10 2021
revised: 31 12 2021
accepted: 03 01 2022
pubmed: 10 1 2022
medline: 6 4 2022
entrez: 9 1 2022
Statut: ppublish

Résumé

In the management of cerebrospinal fluid (CSF) leak, the identification of the exact discharge spot is paramount. This process can represent a challenge for the radiologist and the surgeon. In the present study, we analyzed a series of patients affected by endonasal CSF leak who underwent endoscopic surgical reconstruction aided by the use of ITF. The purpose of this work is to assess the efficacy of intraoperative ITF in addition to computed tomography (CT) and magnetic resonance imaging for correct topographic localization of the CSF leak. Eighty-three patients were enrolled in the study. The main outcome was the concordance between the supposed radiologic defect site and the actual one seen intraoperatively. Recurrence-free survival was evaluated as secondary outcome. ITF better defined the defect site, allowing a change in the treatment in 21 patients (25.3%), in whom nonconcordance was observed between the suspected radiologic site and the actual surgical site. Good agreement was found between the specific topographic localization (κ = 0.737; P < 0.0001), whereas fair agreement was observed considering the side of the defect (κ = 0.362; P = 0.0009) and correct identification of multiple sites (κ = 0.044; P = 0.666). The 10-year 96% estimate of recurrence-free survival confirmed the correct repair of the fistula site in most cases. Our data show the usefulness and safety of intraoperative ITF for management of patients affected by endonasal CSF leak. ITF improved the topographic diagnosis of the leak site, ensuring the best target reconstruction and very low recurrence rate.

Sections du résumé

BACKGROUND
In the management of cerebrospinal fluid (CSF) leak, the identification of the exact discharge spot is paramount. This process can represent a challenge for the radiologist and the surgeon. In the present study, we analyzed a series of patients affected by endonasal CSF leak who underwent endoscopic surgical reconstruction aided by the use of ITF. The purpose of this work is to assess the efficacy of intraoperative ITF in addition to computed tomography (CT) and magnetic resonance imaging for correct topographic localization of the CSF leak.
METHODS
Eighty-three patients were enrolled in the study. The main outcome was the concordance between the supposed radiologic defect site and the actual one seen intraoperatively. Recurrence-free survival was evaluated as secondary outcome.
RESULTS
ITF better defined the defect site, allowing a change in the treatment in 21 patients (25.3%), in whom nonconcordance was observed between the suspected radiologic site and the actual surgical site. Good agreement was found between the specific topographic localization (κ = 0.737; P < 0.0001), whereas fair agreement was observed considering the side of the defect (κ = 0.362; P = 0.0009) and correct identification of multiple sites (κ = 0.044; P = 0.666). The 10-year 96% estimate of recurrence-free survival confirmed the correct repair of the fistula site in most cases.
CONCLUSIONS
Our data show the usefulness and safety of intraoperative ITF for management of patients affected by endonasal CSF leak. ITF improved the topographic diagnosis of the leak site, ensuring the best target reconstruction and very low recurrence rate.

Identifiants

pubmed: 34999266
pii: S1878-8750(22)00007-9
doi: 10.1016/j.wneu.2022.01.004
pii:
doi:

Substances chimiques

Fluorescein TPY09G7XIR

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e267-e277

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Francesco Missale (F)

IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.

Alessandro Ioppi (A)

IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.

Alessandro Ascoli (A)

IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.

Paola Lovino Camerino (PL)

IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.

Andrea Luigi Camillo Carobbio (AL)

IRCCS Ospedale Policlinico San Martino, Genova, Italy; Section of Otorhinolaryngology, Head and Neck Surgery-Azienda Ospedaliera di Padova, University of Padua, Padua, Italy.

Marco Larghi (M)

Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.

Eolo Mario Castello (EM)

IRCCS Ospedale Policlinico San Martino, Genova, Italy.

Luca Guastini (L)

IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.

Giorgio Peretti (G)

IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.

Diego Criminelli (D)

IRCCS Ospedale Policlinico San Martino, Genova, Italy.

Giampiero Parrinello (G)

IRCCS Ospedale Policlinico San Martino, Genova, Italy.

Diego Bagnasco (D)

IRCCS Ospedale Policlinico San Martino, Genova, Italy; Allergy and Respiratory Diseases, DIMI Department of Internal Medicine, University of Genoa, Genoa, Italy.

Frank Rikki Mauritz Canevari (FR)

IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy. Electronic address: canevari@edu.unige.it.

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Classifications MeSH