Nonlinear Distributional Mapping (NoDiM) for harmonization across amyloid-PET radiotracers.

ABSTRACT:

Introduction

There is a growing need in clinical research domains for direct comparability between amyloid-beta (Aβ) Positron Emission Tomography (PET) measures obtained via different radiotracers and processing methodologies. Previous efforts to provide a common measurement scale fail to account for non-linearities between measurement scales that can arise from these differences. We introduce a new application of distribution mapping, based on well established statistical orthodoxy, that we call Nonlinear Distribution Mapping (NoDiM). NoDiM uses cumulative distribution functions to derive mappings between Aβ-PET measurements from different tracers and processing streams that align data based on their location in their respective distributions.

Methods

Utilizing large datase

SUBMITTER: Properzi MJ 

PROVIDER: S-EPMC6338495 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature