Removal of cervical spinal tumor with large inferio.lateral extension through anterolateral (interscalene and transforaminal) approach

Chowdhury, Forhad Hossain; Haque, Mahmudul; Kawsar, Khandkar Ali; Alam, Shariful

doi:10.4103/0976-3147.118778

Cited by 2 publications

(2 citation statements)

References 13 publications

(36 reference statements)

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“…In the current study, paresthesia was found the second most common symptom. Previous data showed that 70% of spinal schwannoma arose from sensory root, 20% from motor root, and rested from a mixture of both ( 16 ). Thus, abnormal motor function was relatively uncommon in the complaints of SS patients and usually occurred when tumors cause severe spinal cord compression.…”

Section: Discussionmentioning

confidence: 99%

Scoring model to predict postoperative neurological deterioration in spinal schwannoma

Liu

Xu²,

Shen³

et al. 2023

Front. Oncol.

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BackgroundSpinal schwannomas (SSs) are benign tumors affecting the nerve sheath, accounting for 25% of spinal nerve root tumors. Surgery represents the mainstay of treatment for SS patients. Following surgery, approximately 30% of patients experienced developed new or worsening neurological deterioration, which probably represented an inevitable complication of nerve sheath tumor surgery. The objective of this study was to identify the rates of new or worsening neurological deterioration in our center and accurately predict the neurological outcomes of patients with SS by developing a new scoring model.MethodsA total of 203 patients were retrospectively enrolled at our center. Risk factors associated with postoperative neurological deterioration were identified by multivariate logistic regression analysis. β–coefficients for independent risk factors were used to define a numerical score to generate a scoring model. The validation cohort at our center was used to verify the accuracy and reliability of the scoring model. Receiver operating characteristic (ROC) curve analysis was used to evaluate the performance of the scoring model.ResultsIn this study, five measured variables were selected for the scoring model: duration of preoperative symptoms (1 point), radiating pain (2 points), tumor size (2 points), tumor site (1 point), and dumbbell tumor (1 point). The scoring model divided the spinal schwannoma patients into three categories: low risk (0-2 points), intermediate risk (3-5 points), and high risk (6-7 points), with predicted risks of neurological deterioration of 8.7%, 36%, and 87.5%, respectively. And the validation cohort confirmed the model with the predicted risks of 8.6%, 46.4%, and 66.6%, respectively.ConclusionThe new scoring model might intuitively and individually predict the risk of neurological deterioration and may aid individualized treatment decision-making for SS patients.

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Section: Discussionmentioning

confidence: 99%

Scoring model to predict postoperative neurological deterioration in spinal schwannoma

Liu

Xu²,

Shen³

et al. 2023

Front. Oncol.

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“…In this issue of Journal of Neuroscience in Rural Practice, Chowdhury et al .,[ 1 ] present a rare case of C7 spinal dumbbell schwannoma with large inferolateral extension removing through anterolateral (interscalenic and transforaminal) approach. I would like to take this opportunity to discuss the recent advances in the management of dumbbell spinal schwannomas.…”

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confidence: 99%

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Kahveci

2013

Journal of Neurosciences in Rural Practice

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Removal of cervical spinal tumor with large inferio.lateral extension through anterolateral (interscalene and transforaminal) approach

Cited by 2 publications

References 13 publications

Scoring model to predict postoperative neurological deterioration in spinal schwannoma

Scoring model to predict postoperative neurological deterioration in spinal schwannoma

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