ArticleFrontiers in oncology2022
Deep Learning Model for Intracranial Hemangiopericytoma and Meningioma Classification.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Performance of deep learning models for automatic histopathological grading of meningiomas: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- Research progress of deep learning based on magnetic resonance imaging in meningioma.Magma (New York, N.Y.) · 2026Review
- Multimodal MRI-based nomogram integrating clinical-radiological, radiomic, and habitat features to discriminate solitary fibrous tumors from atypical meningiomas.Scientific reports · 2026Article
- Multiparameter MRI-based automatic segmentation and diagnostic models for the differentiation of intracranial solitary fibrous tumors and meningiomas.Annals of medicine · 2025Article
- Deep learning radiomic nomogram outperforms the clinical model in distinguishing intracranial solitary fibrous tumors from angiomatous meningiomas and can predict patient prognosis.European radiology · 2025Article
- A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor.Journal of pathology informatics · 2025Article
- Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- Article
- The role of tumor parenchyma and brain cortex signal intensity ratio in differentiating solitary fibrous tumors and meningiomas.Discover oncology · 2024Article
- Cystic intracranial solitary fibrous tumor: a case report.Frontiers in oncology · 2024Article
- Solitary Fibrous Tumor of the Central Nervous System: A Report of Two Cases with Emphasis on Diagnostic Pitfalls.Case reports in pathology · 2024Article
- Solitary fibrous tumor of the central nervous system invading and penetrating the skull: A case report.Oncology letters · 2023Article
- Editorial: Advances of radiomics and artificial intelligence in the management of patients with central nervous system tumors.Frontiers in oncology · 2023Article
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6 authors.
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Abstract
Background: Intracranial hemangiopericytoma/solitary fibrous tumor (SFT/HPC) is a rare type of neoplasm containing malignancies of infiltration, peritumoral edema, bleeding, or bone destruction. However, SFT/HPC has similar radiological characteristics as meningioma, which had different clinical managements and outcomes. This study aims to discriminate SFT/HPC and meningioma Methods: We enrolled 236 patients with histopathological diagnosis of SFT/HPC (n = 144) and meningioma (n = 122) from 2010 to 2020 in Xiangya Hospital. Radiological features were extracted manually, and a radiological diagnostic model was applied for classification. And a deep learning pretrained model ResNet-50 was adapted to train T1-contrast images for predicting tumor class. Deep learning model attention mechanism was visualized by class activation maps. Results: Our study reports that SFT/HPC was found to have more invasion to venous sinus (
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