Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/117726
Title: Histogram analysis of diffusion weighted imaging at 3T is useful for prediction of lymphatic metastatic spread, proliferative activity, and cellularity in thyroid cancer
Author(s): Schob, StefanLook up in the Integrated Authority File of the German National Library
Meyer, Hans-JonasLook up in the Integrated Authority File of the German National Library
Dieckow, JuliaLook up in the Integrated Authority File of the German National Library
Pervinder, Bhogal
Pazaitis, Nikolaos
Höhn, Anne KathrinLook up in the Integrated Authority File of the German National Library
Garnov, NikitaLook up in the Integrated Authority File of the German National Library
Horvath-Rizea, DianaLook up in the Integrated Authority File of the German National Library
Hoffmann, Karl-TitusLook up in the Integrated Authority File of the German National Library
Surov, AlexeyLook up in the Integrated Authority File of the German National Library
Issue Date: 2017
Type: Article
Language: English
Abstract: Pre-surgical diffusion weighted imaging (DWI) is increasingly important in the context of thyroid cancer for identification of the optimal treatment strategy. It has exemplarily been shown that DWI at 3T can distinguish undifferentiated from well-differentiated thyroid carcinoma, which has decisive implications for the magnitude of surgery. This study used DWI histogram analysis of whole tumor apparent diffusion coefficient (ADC) maps. The primary aim was to discriminate thyroid carcinomas which had already gained the capacity to metastasize lymphatically from those not yet being able to spread via the lymphatic system. The secondary aim was to reflect prognostically important tumor-biological features like cellularity and proliferative activity with ADC histogram analysis. Fifteen patients with follicular-cell derived thyroid cancer were enrolled. Lymph node status, extent of infiltration of surrounding tissue, and Ki-67 and p53 expression were assessed in these patients. DWI was obtained in a 3T system using b values of 0, 400, and 800 s/mm2. Whole tumor ADC volumes were analyzed using a histogram-based approach. Several ADC parameters showed significant correlations with immunohistopathological parameters. Most importantly, ADC histogram skewness and ADC histogram kurtosis were able to differentiate between nodal negative and nodal positive thyroid carcinoma. Conclusions: histogram analysis of whole ADC tumor volumes has the potential to provide valuable information on tumor biology in thyroid carcinoma. However, further studies are warranted.
URI: https://opendata.uni-halle.de//handle/1981185920/119686
http://dx.doi.org/10.25673/117726
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: International journal of molecular sciences
Publisher: Molecular Diversity Preservation International
Publisher Place: Basel
Volume: 18
Issue: 4
Original Publication: 10.3390/ijms18040821
Appears in Collections:Open Access Publikationen der MLU

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