Identification of Preoperative Language Tracts for Intrinsic Frontotemporal Diseases: A Pilot Reconstruction Algorithm in a Middle-Income Country.


Journal

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

Informations de publication

Date de publication:
05 2019
Historique:
received: 25 09 2018
revised: 14 01 2019
accepted: 18 01 2019
pubmed: 9 2 2019
medline: 27 12 2019
entrez: 9 2 2019
Statut: ppublish

Résumé

Diffusion tensor imaging (DTI) tractography provides useful information that can be used to optimize surgical planning and help avoid injury during subcortical dissection of eloquent tracts. The objective is to provide a safe, timely, and affordable algorithm for preoperative DTI language reconstruction for intrinsic frontotemporal diseases. We reviewed a prospectively acquired database of preoperative DTI reconstruction for resection of left frontotemporal lesions over 3 years at Hospital de San José and Hospital Infantil Universitario San José, Fundación Universitaria de Ciencias de la Salud, Bogota, Colombia. Preoperative and postoperative clinical and radiographic features were determined from retrospective chart review. A comprehensive review of the structural and functional anatomy of the language tracts was performed. Separate reconstruction of both ventral (semantic) and dorsal (phonologic) stream pathways is described: arcuate fasciculus, superior longitudinal fasciculus, inferior fronto-occipital fasciculus, uncinate fasciculus, and inferior longitudinal fasciculus. Between January 2015 and January 2018, 44 tumor cases were found to be resected with preoperative fiber tracking planning and neuronavigation-guided surgery. Ten patients (7 women, 3 men) aged 28-65 years underwent resection of an intrinsic frontotemporal lesion with preoperative DTI tractography reconstruction of language tracts. Eight cases (80%) were high-grade gliomas and 2 (20%) were cavernous malformations. In 5 cases (50%), the lesion was in the frontal lobe and in 5 (50%), it was in the temporal lobe. The extent of resection was classified as gross total resection (100%), subtotal resection (>90%), or partial resection (<90%). Gross total resection was achieved in 5 cases (50%), subtotal resection was achieved in 4 cases (40%), and partial resection in the remaining case (10%). Compromised tracts included superior longitudinal fasciculus in 7 (70%), inferior longitudinal fasciculus in 4 (40%), the arcuate fasciculus in 3 (30%), and uncinate fasciculus in 1 (10%). Language function was unchanged or improved in 90% of patients. New-onset postoperative language decline occurred in 1 patient, who recovered transient phonemic paraphasias 1 month after resection. The mean follow-up time was 7 months (range, 4-12 months). Residual tumors were treated with radiation and/or with chemotherapy as indicated in an outpatient setting. We present a safe and efficacious preoperative DTI language reconstruction algorithm that could be used as a feasible treatment strategy in a challenging subset of tumors in low- to middle-income countries.

Identifiants

pubmed: 30735870
pii: S1878-8750(19)30263-3
doi: 10.1016/j.wneu.2019.01.163
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e729-e742

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Edgar G Ordóñez-Rubiano (EG)

Department of Neurological Surgery, Fundación Universitaria de Ciencias de la Salud, Hospital Infantil Universitario de San José, Bogotá, Colombia. Electronic address: egordonez@fucsalud.edu.co.

Francisco A Valderrama-Arias (FA)

Department of Neurological Surgery, Fundación Universitaria de Ciencias de la Salud, Hospital Infantil Universitario de San José, Bogotá, Colombia.

Jonathan A Forbes (JA)

Department of Neurological Surgery, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.

Jason M Johnson (JM)

Neuroradiology, Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Iyan Younus (I)

Weill Cornell Medical College, New York, New York, USA.

Jorge H Marín-Muñoz (JH)

Diagnostic Imaging, Department of Diagnostic Radiology, Fundación Universitaria de Ciencias de la Salud, Hospital Infantil Universitario de San José, Bogotá, Colombia.

Mariana Sánchez-Montaño (M)

Neuroradiology, Department of Diagnostic Radiology, Instituto Nacional de Ciencias Médicas y Nutrición, Tlalpan, Ciudad de México, Mexico.

Diego A Angulo (DA)

IMAGINE, Systems and Computing Engineering, Universidad de los Andes, Bogotá, Colombia; ImExHS, Imex-Research, Bogotá, Colombia.

Hernando A Cifuentes-Lobelo (HA)

Department of Neurological Surgery, Fundación Universitaria de Ciencias de la Salud, Hospital Infantil Universitario de San José, Bogotá, Colombia.

William Cortes-Lozano (W)

Department of Neurological Surgery, Fundación Universitaria de Ciencias de la Salud, Hospital Infantil Universitario de San José, Bogotá, Colombia.

Maria C Pedraza-Ciro (MC)

Department of Neurological Surgery, Clínica Los Nogales, Bogotá, Colombia.

May Leonardo Bello-Dávila (ML)

Department of Neurology, Fundación Universitaria de Ciencias de la Salud, Hospital Infantil Universitario de San José, Bogotá, Colombia.

Javier G Patiño-Gómez (JG)

Department of Neurological Surgery, Fundación Universitaria de Ciencias de la Salud, Hospital Infantil Universitario de San José, Bogotá, Colombia.

Edgar G Ordóñez-Mora (EG)

Department of Neurological Surgery, Fundación Universitaria de Ciencias de la Salud, Hospital Infantil Universitario de San José, Bogotá, Colombia.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH