Cerebral pleomorphic xanthoastrocytoma associated with NF1: an updated review with a rare atypical case from Africa.

Neurosurg Rev

Division of Neurological Surgery, Department of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria.

Published: July 2012

The occurrence of cerebral pleomorphic xanthoastrocytoma (PXA) in individuals with neurofibromatosis type 1 (NF1) is very rare. We present a 10-year-old Nigerian boy with NF1 who was found to harbor a thalamic-lateral ventricular solid mass lesion whose histologic and immunohistochemical findings were in keeping with PXA. We also carried out an updated review of the PXA-NF1 literature and found only eight previous reports of this clinical disease association. These reports have been limited to only certain regions of the world, with none yet reported from Africa, South America, Australia, and Eastern Europe. As far as we know, this might be the first such report from Africa. The case we present, in addition, demonstrated some other unique clinical, radiological, and histopathologic characteristics which have been highlighted in this review.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10143-011-0362-1DOI Listing

Publication Analysis

Top Keywords

cerebral pleomorphic
8
pleomorphic xanthoastrocytoma
8
updated review
8
xanthoastrocytoma associated
4
associated nf1
4
nf1 updated
4
review rare
4
rare atypical
4
atypical case
4
case africa
4

Similar Publications

Background: Exophytic tumors of the calvaria (ETCs) remain a challenging pathology because of their complex management. The authors discuss the case of a woman with a large exophytic mass of the right frontotemporal region and underline their decision-making process on the management of this unique case and possible similar ones.

Observations: Neuroradiological findings showed a calvarial tumor with both epicranial and intracranial extension involving the frontotemporal bone with a mixed component (lytic and sclerotic) and dural infiltration with a pseudonodular pattern.

View Article and Find Full Text PDF

Objectives: To evaluate the precision and safety of a novel technique of free-hand frameless pinless AXIEM™-based navigation guided biopsy of deep-seated brain lesions in a low-middle income country.

Methods: This retrospective study included 45 patients who underwent free-hand frameless pinless AXIEM™-based navigation guided biopsy of deep-seated brain lesions using the Medtronic-Stealth S7 system over a 5-year period (January 2019 to December 2023) at the Department of Neurosurgery, Punjab Institute of Neurosciences, Lahore, Pakistan.

Results: A total of 45 patients were included in this study.

View Article and Find Full Text PDF

To investigate the clinicopathological features, immunophenotype, molecular characteristics, and differential diagnosis of primary intracranial DICER1-mutant sarcoma in order to better understand this tumor type. A retrospective analysis was conducted on 7 cases of primary intracranial DICER1-mutant sarcoma diagnosed in the Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China between 2021 and 2023 using next-generation sequencing. At the same time, 10 gliosarcomas, 4 intracranial FET::CREB fusion-positive mesenchymal tumors, 4 malignant meningiomas, 3 malignant solitary fibrous tumors, 3 malignant peripheral nerve sheath tumors, 3 synovial sarcomas and 3 rhabdomyosarcomas (total 30 cases) were selected as control.

View Article and Find Full Text PDF
Article Synopsis
  • Capsule endoscopy (CE) is a minimally invasive procedure used to examine the gastrointestinal tract, but it can be time-consuming and has limited diagnostic effectiveness in the upper GI tract.
  • Researchers developed an artificial intelligence (AI) model using convolutional neural networks (CNN) to automatically detect various types of pleomorphic lesions from a large dataset of CE images, evaluating its performance against expert classifications.
  • The AI model demonstrated high diagnostic accuracy across different areas of the GI tract, with the best results being 96.6% accuracy for gastric lesions and 97.6% for small bowel lesions, suggesting that AI tools could significantly enhance the effectiveness of capsule panendoscopy.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!