Publications by authors named "J M Dietz"

Background: Medical imagesegmentation is an essential step in both clinical and research applications, and automated segmentation models-such as TotalSegmentator-have become ubiquitous. However, robust methods for validating the accuracy of these models remain limited, and manual inspection is often necessary before the segmentation masks produced by these models can be used.

Methods: To address this gap, we have developed a novel validation framework for segmentation models, leveraging data augmentation to assess model consistency.

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Introduction: Unfortunately, children are not spared from the devastating effects of the ongoing opioid epidemic. In rare cases, young children exposed to opioids present with unique neuroimaging findings affecting the white matter, reminiscent of what was once seen with diacetylmorphine (heroin)-associated leukoencephalopathy. This constellation of findings is termed the pediatric opioid use-associated neurotoxicity with cerebellar edema (POUNCE) syndrome.

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Article Synopsis
  • - The National Accreditation Program for Breast Centers (NAPBC) initiated a quality collaborative to evaluate the time between breast cancer screening and treatment, analyzing data from 2019 to 2021.
  • - A total of 373 accredited centers participated, with 311 providing complete metrics, revealing that the actual treatment time exceeded expectations across various intervals, from screening to diagnosis and biopsy to treatment.
  • - Findings indicated discrepancies in treatment timing, with factors like higher case volumes and dedicated breast surgeons linked to longer intervals, highlighting the need for further investigation into quality measures across different centers.
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Purpose: This study evaluates the prognostic significance of pleural effusion (PE) in COVID-19 patients across thirteen centers in Germany, aiming to clarify its role in predicting clinical outcomes.

Methods: In this retrospective analysis within the RACOON project (Radiological Cooperative Network of the COVID-19 pandemic), 1183 patients (29.3 % women, 70.

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