M2ABQ-a proposed refinement of the modified algorithm-based qualitative classification of osteoporotic vertebral fractures.

ABSTRACT: Currently, there is no reproducible, widely accepted gold standard to classify osteoporotic vertebral body fractures (OVFs). The purpose of this study is to refine a method with clear rules to classify OVFs for machine learning purposes. The method was found to have moderate interobserver agreement that improved with training.

Introduction

The current methods to classify osteoporotic vertebral body fractures are considered ambiguous; there is no reproducible, accepted gold standard. The purpose of this study is to refine classification methodology by introducing clear, unambiguous rules and a refined flowchart to allow consistent classification of osteoporotic vertebral body fractures.

Methods

We developed a set of rules and refinements that we called m2ABQ to classify verteb

SUBMITTER: Aaltonen HL 

PROVIDER: S-EPMC10246552 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature