End-to-End Non-Small-Cell Lung Cancer Prognostication Using Deep Learning Applied to Pretreatment Computed Tomography.

Purpose: Clinical TNM staging is a key prognostic factor for patients with lung cancer and is used to inform treatment and monitoring. Computed tomography (CT) plays a central role in defining the stage of disease. Deep learning applied to pretreatment CTs may offer additional, individualized prognostic information to facilitate more precise mortality risk prediction and stratification.

Synthesis and in vitro evaluation of a selective antagonist and the corresponding radioligand for the prostaglandin D2 receptor CRTH2.

Synthesis and preliminary in vitro biological evaluation of a selective high-affinity CRTH2 antagonist is described. The stability of an N-benzyl group facilitated synthesis of the corresponding radioligand by tritiation of a brominated precursor. The compound [(3)H]TRQ11238 represents the first selective CRTH2 antagonist radioligand and exhibited a specific radioactivity of 52 Ci/mmol and a pK(d) of 9.

Subtype differentiation of patients with borderline personality disorder using a circumplex model of interpersonal behavior.

The considerable heterogeneity of symptomatology in persons with borderline personality disorder (BPD) has led some to suggest the existence of subtypes within this diagnosis. However, no study to date has examined subtypes according to differences in interpersonal functioning, despite the central role of interpersonal problems in the BPD diagnosis. The interpersonal problems of 95 patients with BPD were investigated using the German version of the Inventory of Interpersonal Problems, a self-report measure based on a circumplex model of interpersonal functioning.