Imaging Characteristics of DICER1-Mutant Primary Intracranial Sarcoma: A Systematic Review and Meta-Analysis
Kang, Z.; Liu, S.; Kang, F.; Gou, Z.; Kang, Y.
Show abstract
Purpose DICER1-mutant primary intracranial sarcoma (PIS-DICER1) is a rare, recently defined high-grade intracranial tumor. This systematic review and meta-analysis aimed to comprehensively investigate its imaging characteristics to improve preoperative diagnostic accuracy and facilitate differential diagnosis. Methods A systematic literature search was conducted in PubMed and Web of Science for studies published up to December 31, 2025. Original studies with pathologically and molecularly confirmed PIS-DICER1 and detailed imaging data were included. Imaging features, including tumor location, margin definition, meningeal contact, intratumoral hemorrhage, enhancement pattern, cystic components, peritumoral edema, and advanced imaging findings (SWI, DWI, MRS, PWI), were extracted and analyzed. Pooled proportions with 95% confidence intervals (CIs) were calculated using a random-effects model. Results Twenty-four studies comprising 110 patients with detailed imaging data were included. The pooled mean age was 18.6 years (95% CI: 15.2-22.0), with a slight female predominance (53.3%, 96/180). Tumors were predominantly supratentorial (87%, 95% CI: 80%-93%). Substantial heterogeneity was observed across studies for location (I2 = 78%). Intratumoral hemorrhage was observed in 85% (95% CI: 78%-91%). Contrast-enhanced MRI demonstrated heterogeneous enhancement in all cases (100%, 95% CI: 96%-100%). Due to sparse data, advanced MRI features could not be quantitatively synthesized, underscoring a critical knowledge gap. Conclusion PIS-DICER1 exhibits imaging features including supratentorial location, intratumoral hemorrhage, heterogeneous enhancement, well-defined margins, and meningeal involvement. These features, particularly in children and young adults with hemorrhagic supratentorial masses, should prompt differential diagnosis. Definitive diagnosis requires molecular confirmation, but recognition of these characteristics facilitates diagnosis and preoperative planning.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Detection of local microvascular proliferation in IDH wild-type Glioblastoma using relative Cerebral Blood Volume 93%
- A Large Scale Multi-dataset Investigation of Brain Metastases Distribution Based on Primary Cancer Type 92%
- Connecting Patterns of Tumor Growth with Sex Differences in Extreme Survivorship for Primary Glioblastoma Patients 91%
Similar papers in this journal
- MUC17 mutations and methylation are associated with poor prognosis in adult-type diffuse glioma patients 90%
- Cerebral Venous Sinus Thrombosis Associated with SARS-CoV-2; a Multinational Case Series 89%
- Artificial Intelligence and Machine Learning in Aneurysmal Subarachnoid Hemorrhage: Future Promises, Perils, and Practicalities 87%
Similar papers in this journal
- Clinical, Radiological and Therapeutic Characteristics of Patients with COVID-19 in Saudi Arabia 92%
- PD-L1 expression in 522 selected sarcomas with subset analysis of recurrent or metastatic matched samples and association with tumour-infiltrating lymphocytes 92%
- Evaluating soluble Axl as a biomarker for glioblastoma: a pilot study 92%
Similar papers in this journal
- Multifocal transient cortical brain lesions: a consistent MRI finding in neuro-COVID-19 patients 91%
- Central and peripheral nervous system complications of COVID-19: A prospective tertiary center cohort with 3-month follow-up 90%
- Endothelial receptor proteins in acute venous thrombosis and delayed thrombus resolution in cerebral sinus vein thrombosis 88%
Similar papers in this journal
- SIOP Ependymoma I: Final results, long term follow-up and molecular analysis of the trial cohort: A BIOMECA Consortium Study 90%
- A Population Study of Clinical Trial Accrual for Women and Minorities in Neuro-Oncology Following the NIH Revitalization Act 90%
- A subset of pediatric thalamic gliomas share a distinct DNA methylation profile, H3K27me3 loss and frequent alteration of EGFR 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.