A clinical prediction model to estimate the metastatic potential of pheochromocytoma/paraganglioma: ASES score
Author:
Publisher
Elsevier BV
Subject
Surgery
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1. CT-Based Radiomics Analysis of Different Machine Learning Models for Discriminating the Risk Stratification of Pheochromocytoma and Paraganglioma: A Multicenter Study;Academic Radiology;2024-07
2. Identification of Predictors of Metastatic Potential in Paragangliomas to Develop a Prognostic Score (PSPGL);Journal of the Endocrine Society;2024-05-07
3. Validation and Evaluation of 5 Scoring Systems for Predicting Metastatic Risk in Pheochromocytoma and Paraganglioma;American Journal of Surgical Pathology;2024-05-07
4. Preoperative prediction of metastatic pheochromocytoma and paraganglioma using clinical, genetic, and biochemical markers: A cohort study;Journal of Internal Medicine;2024-04-24
5. Novel alternative tools for metastatic pheochromocytomas/paragangliomas prediction;Journal of Endocrinological Investigation;2024-01-11
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