Nomograms to Predict Recurrence-Free and Overall Survival After Curative Resection of Adrenocortical Carcinoma
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Summary
This summary is machine-generated.This study identified key factors predicting recurrence and survival in adrenocortical carcinoma (ACC) patients after surgery. Developed nomograms help stratify patients, aiding in personalized risk assessment for this rare endocrine tumor.
Area Of Science
- Endocrinology
- Surgical Oncology
- Oncologic Outcomes
Background
- Adrenocortical carcinoma (ACC) is a rare, aggressive endocrine malignancy.
- Prognostic factors for long-term outcomes post-surgery are not well-defined.
- Accurate risk prediction is crucial for managing ACC patients.
Purpose Of The Study
- To identify clinicopathological variables associated with recurrence-free survival (RFS) and overall survival (OS) after curative ACC resection.
- To develop and validate nomograms for predicting individual patient risk.
Main Methods
- A multi-institutional cohort of 148 ACC patients undergoing curative-intent surgery was analyzed.
- Statistical models were used to identify predictors for RFS and OS.
- Nomogram performance was assessed using C statistics and calibration plots.
Main Results
- Key predictors for RFS included tumor size (≥12 cm), positive nodal status, stage III/IV, cortisol-secreting tumors, and capsular invasion.
- Predictors for OS comprised tumor size (≥12 cm), positive nodal status, and R1 resection margin.
- The developed nomograms demonstrated good predictive ability (C-statistics: 0.74 for RFS, 0.70 for OS).
Conclusions
- Independent predictors of survival and recurrence risk were identified for adrenocortical carcinoma.
- Novel nomograms effectively stratify patients into prognostic groups post-surgery.
- These tools aid in personalized risk assessment and management strategies for ACC.