Intracranial cellular schwannomas: a clinicopathological study of 20 cases

Mo²,

et al. 2022

BMC Med Imaging

Objective To analyze the computed tomography (CT) and magnetic resonance imaging (MRI) features of patients with intra-parenchymal and intra-ventricular schwannoma. Methods The CT and MRI features of seven cases with intra-parenchymal and intra-ventricular schwannoma were analyzed retrospectively. Results There were four men and three women (median age, 25 years; range, 12–42 years) in this study. The median tumor size was 4.4 cm (range, 3.1–6.5 cm). The mass was, respectively, round in four cases (57.1%), lobulated in two cases (28.6%) and oval in one case (14.3%). All tumors were well-circumscribed. Septa in the mass could be observed in three cases (42.9%), and nodular calcification was observed in two cases (28.6%), which peritumoral edema (n = 3, 42.9%) and hydrocephalus (n = 3, 42.9%) could be observed. Most of these lesions (n = 6) presented iso-hypointensity on T1-weighted images and iso-hyperintensity on T2-weighted images, except one lesion showing low intensity on T2WI. In addition, a fluid–fluid level was observed in one case. After contrast agents’ injection, all masses illustrated heterogeneously moderate to marked enhancement. Conclusions A well-defined solid and cystic mass with calcification and moderate to marked delayed enhancement may be an objective account of intra-parenchymal or intra-ventricular schwannoma.

Section: Discussionsupporting

confidence: 93%

“…Intra-parenchymal and intra-ventricular schwannoma is benign in nature, which is commonly reported in young adults without gender predilection[ 6 ]. Owing to its divergent location, size and texture, the clinical symptoms could be multiplied.…”

Section: Discussionmentioning

confidence: 99%

CT and MRI findings of intra-parenchymal and intra-ventricular schwannoma: a series of seven cases

Mo²,

et al. 2022

BMC Med Imaging

“…Although the nomogram has achieved a good degree of discrimination, calibration, and clinical benefits, we believe that it still needs to be improved in the future; The first is to include the volume of the residual tumor as a risk factor in patients with partial tumor resection to achieve a more personalized risk prediction ( 17 ). This requires the use of standardized volume measurement software and methods to reduce measurement errors of different institutions; The second is to include more detailed pathological classification because the recurrence rate of cellular schwannomas is much higher than that of classic schwannomas ( 24 , 25 ). However, this distinction has not received extensive attention for a long time.…”

Section: Discussionmentioning

confidence: 99%

A Nomogram to Predict Recurrence-Free Survival Following Surgery for Vestibular Schwannoma

Shi

et al. 2022

Front. Oncol.

BackgroundVestibular schwannoma (VS) is the most common benign tumor of the posterior fossa. The recurrence of VS has always received widespread attention. This study aimed to develop a nomogram to predict Recurrence-free survival (RFS) following resection of VS.MethodsA total of 425 patients with VS who underwent resection at the Department of Neurosurgery in Chinese PLA General Hospital between January 2014 and December 2020 were enrolled in this retrospective study. The medical records and follow-up data were collected. Cox regression analysis was used to screen prognostic factors and construct the nomogram. The predictive accuracy and clinical benefits of the nomogram were validated using the area under the curve (AUC), calibration curves, and decision curve analysis (DCA).ResultsThe Cox regression analysis revealed that age (HR = 0.96; 95% CI 0.94 - 0.99; p < 0.01), EOR (HR = 4.65; 95% CI 2.22 - 9.74; p < 0.001), and Ki-67 (HR = 1.16; 95% CI 1.09 - 1.23; p < 0.001) were all significantly correlated with recurrence, and they were finally included in the nomogram model. The concordance index of the nomogram was 0.86. The areas under the curve (AUCs) of the nomogram model of 3-, 4- and 5-year were 0.912, 0.865, and 0.809, respectively. A well-fitted calibration curve was also generated for the nomogram model. The DCA curves also indicated that the nomogram model had satisfactory clinical utility compared to the single indicators.ConclusionsWe developed a nomogram that has high accuracy in predicting RFS in patients after resection of VS. All of the included prognostic factors are easy to obtain. The nomogram can improve the postoperative management of patients and assist clinicians in individualized clinical treatment. Furthermore, we generated a web-based calculator to facilitate clinical application: https://abc123-123.shinyapps.io/VS-RFS/.

“…Based on cell morphology, schwannomas are divided into two types: Antoni A and B patterns. The Antoni A pattern often displays well-differentiated spindle cells with palisade nuclei, whereas the Antoni B pattern is characterized by bipolar and multipolar cells suspended in a loose myxoid matrix[ 19 , 20 ]. Imaging findings of schwannomas correlate with the biphasic pattern observed histopathologically.…”

Section: Discussionmentioning

confidence: 99%

Imaging characteristics of orbital peripheral nerve sheath tumors: Analysis of 34 cases

Dai¹,

Wang²,

Wang³

et al. 2022

WJCC

BACKGROUND Peripheral nerve sheath tumors (PNSTs), a rare group of neoplasms in the orbit, comprise only 4% of all orbital tumors. At present, there are very few studies detailing the features of these tumors identified using imaging technology. AIM To compare the differences in location, morphology, magnetic resonance imaging (MRI) signal intensity/computed tomography (CT) value, and enhancement degree of tumors of different pathological PNSTs types. METHODS Clinical, pathological, CT, and MRI data were analyzed retrospectively in 34 patients with periorbital sheath tumors diagnosed using histopathology from January 2013 to August 2021. RESULTS Among 34 cases of orbital peripheral nerve sheath tumors, 21 were schwannomas, 12 were neurofibromas, and 1 was a plexiform neurofibroma. Common clinical symptoms presented by patients with these types of tumors include eyelid swelling, exophthalmos, and limited eye movement. Schwannomas mostly occur in the intramuscular space with small tumor volume and rare bone involvement. Neurofibromas develop in the extrapyramidal space with larger tumor volume and more bone involvement. Radiologically, schwannomas and neurofibromas are characterized by regular morphology and uneven density and signal. One case of plexiform neurofibroma showed tortuous and diffuse growth along the nerve, with a worm-like appearance on imaging. CONCLUSION Different pathological types of orbital peripheral nerve sheath tumors have unique imaging characteristics. Comprehensive consideration of the patient's clinical and imaging manifestations is of great value in the diagnosis of orbital peripheral nerve sheath tumors.