Publications by authors named "Oliver Th Bethge"
Purpose: To evaluate performance and the clinical impact of a novel machine learning based vessel-suppressing computer-aided detection (CAD) software in chest computed tomography (CT) of patients with malignant melanoma.
Materials And Methods: We retrospectively included consecutive malignant melanoma patients with a chest CT between 01/2015 and 01/2016. Machine learning based CAD software was used to reconstruct additional vessel-suppressed axial images.
Article Synopsis
- Size-specific institutional diagnostic reference levels (iDRLs) for chest and abdominopelvic CT scans were developed based on patients' water-equivalent diameter (Dw) and size-specific dose estimates (SSDEs).
- The study included 1690 CT exams, revealing that mean SSDEs were significantly higher than the volumetric CT dose index (CTDIvol) for various types of scans.
- A strong correlation was found between Dw and SSDEs, supporting the use of these size-specific iDRLs for better monitoring of radiation exposure in CT imaging.
To evaluate the accuracy of size-specific dose estimate (SSDE) calculation from center slice with water-equivalent diameter (Dw) and effective diameter (Deff). A total of 1812 CT exams (1583 adult and 229 pediatric) were included in this retrospective study. Dw and Deff were automatically calculated for all slices of each scan.
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