Prognostic Significance of Preoperative NLR or PLR and PASS Score Combinations in Pheochromocytoma and Paraganglioma.

Context: Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have recently emerged in assessing pheochromocytomas and paragangliomas (PPGLs). However, their combined use with PASS scale has not yet been explored.

Objective: Our goal was to investigate the prognostic values of NLR and PLR and incorporate the PASS score into our analysis.

Machine Learning Models for Classification of Cushing's Syndrome Using Retrospective Data.

Accurate classification of Cushing's Syndrome (CS) plays a critical role in providing the early and correct diagnosis of CS that may facilitate treatment and improve patient outcomes. Diagnosis of CS is a complex process, which requires careful and concurrent interpretation of signs and symptoms, multiple biochemical test results, and findings of medical imaging by physicians with a high degree of specialty and knowledge to make correct judgments. In this article, we explore the state of the art machine learning algorithms to demonstrate their potential as a clinical decision support system to analyze and classify CS to facilitate the diagnosis, prognosis, and treatment of CS.