Radiomics improves efficiency for differentiating subclinical pheochromocytoma from lipid-poor adenoma: a predictive, preventive and personalized medical approach in adrenal incidentalomas.
Xiaoping YiXiao GuanYouming ZhangLongfei LiuXueying LongHongling YinZhongjie WangXuejun LiWeihua LiaoBihong T ChenChishing ZeePublished in: The EPMA journal (2018)
Our radiomic nomograms based on pre-enhanced and enhanced CT images distinguished sPHEO from LPA. In addition, the promising result using pre-enhanced CT images for predictive diagnostics is important because patients could avoid the additional radiation and risk associated with enhanced CT.
Keyphrases
- contrast enhanced
- computed tomography
- image quality
- dual energy
- end stage renal disease
- deep learning
- magnetic resonance imaging
- convolutional neural network
- newly diagnosed
- chronic kidney disease
- healthcare
- positron emission tomography
- optical coherence tomography
- prognostic factors
- squamous cell carcinoma
- peritoneal dialysis
- radiation therapy
- radiation induced
- lymph node metastasis
- pet ct