Miscellaneous

Impact Factor 2023: 1.3


Current issue – 09/2024

Structured image diagnosis of vertebral body degeneration and intervertebral disc damage – Binary image criteria and comparison for systematic image analysis for occupational diseases 2108 and 2110

Braunschweig R, Kildal D, Meyer-Clement M, et al.

For the recognition of an occupational disease, diagnostic imaging is required as part of the legal determination procedure for occupational diseases 2108/2110 ("occupational disc disease"). The focus is on image criteria on X-ray images and MRI examinations. In a consensus paper under the guidance of the German Social Accident Insurance Institutions from 2005, the characteristic patterns are defined and explained extensively and summarized in typical occupation related constellations. In this article comparison images with the typical findings of the vertebral bodies and intervertebral discs according to occupational diseases are systematically presented, explained, and offered as a reference system for expert assessment.

 

Interventional Therapy of Pelvic Venous Disorders (PeVD)

Dewald CLA, Becker LS, Meyer BC.

Pelvic venous disorders (PeVD) are an underdiagnosed cause of chronic pelvic pain in women. They are caused by venous insufficiency of the pelvic or ovarian veins, leading to the development of mainly periuterine and periovarian varices. In clinical trials, endovascular therapy for PeVD has been shown to be safe and effective. This review presents the various interventional techniques for the treatment of PeVD, including embolization, stenting, and sclerotherapy.

German CheXpert Chest X-ray Radiology Report Labeler

Wollek A, Hyska S, Sedlmeyer T, et al.

Based on the CheXpert architecture an automatic label extraction model for German thoracic radiology reports was designed. For iterative improvements and to generate a ground truth, a web-based multi-reader annotation interface was created. The algorithm can extract labels for twelve common chest pathologies, the presence of support devices, and "no finding". The effect of automatically extracted labels on chest radiograph classification performance was evaluated on an additional, in-house pneumothorax data set, containing 6434 chest radiographs with corresponding reports. It has been shown that automatic label extraction from German thoracic radiology reports is a promising substitute for manual labeling.