Orbital Schwannoma

Chaskes, Mark B.; Rabinowitz, Mindy

doi:10.1055/s-0040-1713935

Cited by 17 publications

(23 citation statements)

References 17 publications

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“…Accordingly, a substantial portion of the OCH tumors were found incidentally, whereas almost all the OSC patients were suffering from symptoms of tumor rapid growth. Furthermore, OCH is often found in middle age at 40–50 years, whereas OSC can present at any age ( 3 , 25 – 27 ). OSC may manifest heterogeneous on MRI just as a “geographic map.” Except for the above-mentioned two shape features, the other selected features, such as gldm_DependenceEntropy and glcm_MCC, all implied that OSC presented with heterogenous signal intensity.…”

Section: Discussionmentioning

confidence: 99%

“…Patients with OCH typically show slow-moving progression and painless proptosis, although some suffer from disturbance in vision and visual fields ( 2 ). Though having a similar clinical manifestation to OCH ( 3 ), orbital schwannoma (OSC) accounts for <1% of orbital lesions. However, the prognosis and therapeutic strategies for the two tumors are always different.…”

Section: Introductionmentioning

confidence: 99%

“…Observation is a possible choice for those patients newly diagnosed with OCH, but surgical intervention is often needed for OSC patients, as OSC typically shows progressive growth ( 4 , 5 ). Therefore, it is necessary to identify the two tumors ( 3 , 6 , 7 ).…”

Section: Introductionmentioning

confidence: 99%

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MRI-Based Radiomics for Differentiating Orbital Cavernous Hemangioma and Orbital Schwannoma

et al. 2021

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Aim: The purpose of this work was to develop and evaluate magnetic resonance imaging (MRI)-based radiomics for differentiation of orbital cavernous hemangioma (OCH) and orbital schwannoma (OSC).Methods: Fifty-eight patients (40 OCH and 18 OSC, confirmed pathohistologically) screened out from 216 consecutive patients who presented between 2015 and 2020 were divided into a training group (28 OCH and 12 OSC) and a validation group (12 OCH and 6 OSC). Radiomics features were extracted from T1-weighted imaging (T1WI) and T2-weighted imaging (T2WI). T-tests, the least absolute shrinkage and selection operator (LASSO), and principal components analysis (PCA) were used to select features for use in the classification models. A logistic regression (LR) model, support vector machine (SVM) model, decision tree (DT) model, and random forest (RF) model were constructed to differentiate OCH from OSC. The models were evaluated according to their accuracy and the area under the receiver operator characteristic (ROC) curve (AUC).Results: Six features from T1WI, five features from T2WI, and eight features from combined T1WI and T2WI were finally selected for building the classification models. The models using T2WI features showed superior performance on the validation data than those using T1WI features, especially the LR model and SVM model, which showed accuracy of 93% (85–100%) and 92%, respectively, The SVM model showed high accuracy of 93% (91–96%) on the combined feature group with an AUC of 98% (97–99%). The DT and RF models did not perform as well as the SVM model.Conclusion: Radiomics analysis using an SVM model achieved an accuracy of 93% for distinguishing OCH and OSC, which may be helpful for clinical diagnosis.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MRI-Based Radiomics for Differentiating Orbital Cavernous Hemangioma and Orbital Schwannoma

et al. 2021

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“…Generally, schwannomas are benign, slow growing nerve sheath tumors, originating from the Schwann cells of the perineurium of peripheral nerves [ 75 ]. Of all schwannomas, 25 to 45% occur in the head and neck; orbital schwannomas account for only 1% of all orbital tumors [ 76 ]. However, while they can present at any age, patients are typically between their third and sixth decades of life [ 77 ].…”

Section: Imaging Techniquesmentioning

confidence: 99%

“…Contrast enhancement can either be distributed homogenously or heterogeneously [ 75 , 76 , 80 ]. Sometimes differentiation between schwannoma and cavernous hemangioma can be challenging.…”

Section: Imaging Techniquesmentioning

confidence: 99%

Orbital Tumors—Clinical, Radiologic and Histopathologic Correlation

et al. 2022

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Orbital masses include a broad spectrum of benign and malignant entities. Often these masses are asymptomatic or show a slow growth rate, so that emergence of clinical symptoms is prolonged. In this context, cross-sectional imaging plays an elementary role in the characterization of these lesions. Aside from the characterization of the underlying entity, an evaluation of the involved compartments is possible by sufficient imaging, which also facilitates optimal treatment and surgery planning. The purpose of this review is to explore different benign and malignant orbital tumors and their typical appearance in imaging together with histopathologic findings.

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International Consensus Statement on Allergy and Rhinology: Sinonasal Tumors

Kuan

Wang

Adappa

et al. 2024

Int Forum Allergy Rhinol

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BackgroundSinonasal neoplasms, whether benign and malignant, pose a significant challenge to clinicians and represents a model area for multidisciplinary collaboration in order to optimize patient care. The International Consensus Statement on Allergy and Rhinology: Sinonasal Tumors (ICSNT) aims to summarize the best available evidence and presents 48 thematic and histopathology‐based topics spanning the field.MethodsIn accordance with prior ICAR documents, ICSNT assigned each topic as an Evidence‐Based Review with Recommendations, Evidence‐Based Review, and Literature Review based on level of evidence. An international group of multidisciplinary author teams were assembled for the topic reviews using the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses format, and completed sections underwent a thorough and iterative consensus‐building process. The final document underwent rigorous synthesis and review prior to publication.ResultsThe ICNST document consists of 4 major sections: general principles, benign neoplasms and lesions, malignant neoplasms, and quality of life and surveillance. It covers 48 conceptual and/or histopathology‐based topics relevant to sinonasal neoplasms and masses. Topics with a high level of evidence provided specific recommendations, while other areas summarized the current state of evidence. A final section highlights research opportunities and future directions, contributing to advancing knowledge and community intervention.ConclusionAs an embodiment of the multidisciplinary and collaborative model of care in sinonasal neoplasms and masses, ICSNT was designed as a comprehensive, international, and multidisciplinary collaborative endeavor. Its primary objective is to summarize the existing evidence in the field of sinonasal neoplasms and masses.This article is protected by copyright. All rights reserved

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Orbital Schwannoma

Cited by 17 publications

References 17 publications

MRI-Based Radiomics for Differentiating Orbital Cavernous Hemangioma and Orbital Schwannoma

MRI-Based Radiomics for Differentiating Orbital Cavernous Hemangioma and Orbital Schwannoma

Orbital Tumors—Clinical, Radiologic and Histopathologic Correlation

International Consensus Statement on Allergy and Rhinology: Sinonasal Tumors

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