Preoperative phenotypic stratification of primary central nervous system lymphoma using multiparametric MRI-based radiomics: prediction of germinal center B-cell-like and double-expression status - Scorecard - MDSpire
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Preoperative phenotypic stratification of primary central nervous system lymphoma using multiparametric MRI-based radiomics: prediction of germinal center B-cell-like and double-expression status
Clinical Scorecard: Preoperative Classification of Primary Central Nervous System Lymphoma Phenotypes Using Multiparametric MRI Radiomics: Forecasting Germinal Center B-Cell-Like and Double-Expression Characteristics
At a Glance
Category
Detail
Condition
Primary Central Nervous System Lymphoma (PCNSL)
Key Mechanisms
Multiparametric MRI-based radiomics for predicting DEL and GCB phenotypes
Target Population
Patients with pathologically confirmed PCNSL
Care Setting
Retrospective study in a clinical imaging context
Key Highlights
Study included 160 patients with confirmed PCNSL
Multiparametric MRI sequences analyzed for radiomic features
SVM classifier achieved AUC of 0.807 for DEL classification
Random Forest classifier achieved AUC of 0.897 for GCB classification
Findings support noninvasive preoperative risk stratification
Guideline-Based Recommendations
Diagnosis
Histopathologic examination remains the diagnostic gold standard for PCNSL
Management
Noninvasive approaches for subtype identification may enhance clinical decision-making
Monitoring & Follow-up
MRI-derived radiomic features may assist in monitoring biological heterogeneity
Risks
DEL status is associated with inferior progression-free survival and higher risk of early disease progression
Patient & Prescribing Data
Patients with primary central nervous system lymphoma
High-dose methotrexate-based or intensive MATRix-based treatment may not mitigate risks associated with DEL status
Clinical Best Practices
Utilize multiparametric MRI for preoperative assessment of PCNSL
Incorporate radiomics in clinical decision-making for risk stratification
