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Baseline Metabolic Tumor Volume in 18FDG-PET-CT Scans in Classical Hodgkin Lymphoma Using Semi-Automatic Segmentation by Julia Driessen; Gerben J.C. Zwezerijnen; Jakoba J Eertink; Marie José Kersten; Anton Hagenbeek; Otto S Hoekstra; Josée M Zijlstra; Ronald Boellaard is a Medicine article available to read on EtoBox.
What is Baseline Metabolic Tumor Volume in 18FDG-PET-CT Scans in Classical Hodgkin Lymphoma Using Semi-Automatic Segmentation about?
Introduction Baseline metabolic tumor volume (bMTV) is increasingly studied as a prognostic factor for classical Hodgkin lymphoma (cHL). Before implementation as a clinical prognostic marker, it is important to investigate different methods for deriving bMTV since not all methods are suitable for each type of malignancy. Semi-automatic segmentation is influenced less by observer bias and variability compared to manual segmentation and might therefore be more reliable for assessing bMTV. However, not much is known about the use of different semi-automatic segmentation methods and how this influences the prognostic value of bMTV in cHL. Here we present a comparison of bMTV derived with 6 semi-automatic segmentation methods. In addition, a visual quality scoring of all segmentations is performed to gain insight into which segmentation methods could be used to determine bMTV in cHL. Methods We selected 61 baseline 18FDG-PET-CT scans that met specific quality criteria (http://EARL.EANM.org) from patients treated in the Transplant BRaVE study for relapsed/refractory cHL [Blood 2018 132:2923]. Six semi-automatic segmentation methods were applied using the Accurate tool, an in-house develo
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- Author
- Julia Driessen; Gerben J.C. Zwezerijnen; Jakoba J Eertink; Marie José Kersten; Anton Hagenbeek; Otto S Hoekstra; Josée M Zijlstra; Ronald Boellaard
- Published
- 2019
- Language
- EN
- Field
- Medicine (Health Sciences)