Predicting tumor consistency and extent of resection in non-functioning pituitary tumors
Authors' conclusion
This study offers the potential to improve NFPT preoperative surgical planning and patient counseling by employing the T2SIR as a preoperative predictor of tumor consistency and EOR. Meanwhile, tumor consistency and Knosp grade were found to play an important role in predicting EOR.
Study context
- Population
- Patients with non-functioning pituitary tumors (non-functioning pituitary tumor (NFPT)) undergoing resection
- Outcome
- Prediction of NFPT consistency (collagen percentage, CP) by T2SIR
Methodological detailsradiomic-voxel analysis, volumetric extent of resection (EOR) assessment
- Radiomic-voxel analysis
- Volumetric EOR assessment
Performance
As reported in the abstract
NFPT consistency (CP)
| Test or model | AUC |
|---|---|
| T2SIR | 0.88 |
T2SIR
AUC0.88
- Significant inverse correlation between T2SIR and collagen percentage (CP)
- P = 0.0001
- ROC AUC of T2SIR for NFPT consistency, p value
- P = 0.0001
Further findings
Predictors of EOR, univariate analysis
- CP
- P = 0.007
- Preoperative volume
- P = 0.045
- Knosp grade
- P = 0.0001
- Tumor suprasellar extension
- P = 0.044
- T2SIR
- P = 0.01
Predictors of EOR, multivariate analysis
- CP (unique predictor)
- P = 0.002
- Knosp grade (unique predictor)
- P = 0.001
- T2SIR
- P = 0.003
Original publication
Predicting tumor consistency and extent of resection in non-functioning pituitary tumors. Pituitary. Published 20 February 2023. doi:10. 1007/ s11102-023-01302-x
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