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DOI: 10.1118/1.4900821
OpenAccess: Closed
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Three‐dimensional texture analysis of contrast enhanced CT images for treatment response assessment in Hodgkin lymphoma: Comparison with F‐18‐FDG PET

Thomas Knogler,Karem El-Rabadi,Michael Weber,Georgios Karanikas,Marius E. Mayerhoefer

Nuclear medicine
Contrast (vision)
Lymphoma
2014
Purpose: To determine the diagnostic performance of three‐dimensional (3D) texture analysis (TA) of contrast‐enhanced computed tomography (CE‐CT) images for treatment response assessment in patients with Hodgkin lymphoma (HL), compared with F‐18‐fludeoxyglucose (FDG) positron emission tomography/CT. Methods: 3D TA of 48 lymph nodes in 29 patients was performed on venous‐phase CE‐CT images before and after chemotherapy. All lymph nodes showed pathologically elevated FDG uptake at baseline. A stepwise logistic regression with forward selection was performed to identify classic CT parameters and texture features (TF) that enable the separation of complete response (CR) and persistent disease. Results: The TF fraction of image in runs, calculated for the 45° direction, was able to correctly identify CR with an accuracy of 75%, a sensitivity of 79.3%, and a specificity of 68.4%. Classical CT features achieved an accuracy of 75%, a sensitivity of 86.2%, and a specificity of 57.9%, whereas the combination of TF and CT imaging achieved an accuracy of 83.3%, a sensitivity of 86.2%, and a specificity of 78.9%. Conclusions: 3D TA of CE‐CT images is potentially useful to identify nodal residual disease in HL, with a performance comparable to that of classical CT parameters. Best results are achieved when TA and classical CT features are combined.
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    Three‐dimensional texture analysis of contrast enhanced CT images for treatment response assessment in Hodgkin lymphoma: Comparison with F‐18‐FDG PET” is a paper by Thomas Knogler Karem El-Rabadi Michael Weber Georgios Karanikas Marius E. Mayerhoefer published in 2014. It has an Open Access status of “closed”. You can read and download a PDF Full Text of this paper here.