European journal of radiology · 2020
CT texture analysis compared to Positron Emission Tomography (PET) and mutational status in resected melanoma metastases.
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Olthof Susann-Cathrin, Krumm Patrick, Weichold Oliver, Eigentler Thomas, Bösmüller Hans, la Fougère Christian, Pfannenberg Christina, Martus Peter, Klumpp Bernhard
Аннотация
PURPOSE: To evaluate the potential of CT texture analysis parameters and metabolic characteristics of melanoma metastases in 18F- FDG PET/CT to predict relevant mutations of tumour cells for targeted therapy in metastatic melanoma patients in correlation with histopathologic specimen.
MATERIAL AND METHODS: 66 melanoma patients, examined with contrast-enhanced 18F-FDG PET/CT before scheduled metastasectomy without any prior systemic therapy, were included in this single-centre retrospective analysis under IRB waiver. The largest, resected metastasis in each patient was assessed with CT texture analysis and semiquantitative 18F-FDG PET parameters. Correlation between imaging parameters and histopathological mutations (BRAF- and NRAS- genes) were calculated.
RESULTS: Attenuation standard deviation (SD) within target lesion indicated a weak correlation with its SUVpeak (rho -0.292, p 0.017). However, no correlation between CT texture analysis, metabolic 18F-FDG PET parameters and tumour cell mutation could be established.
CONCLUSION: CT texture parameters cannot replace the diagnostic value of 18F- FDG PET/CT for metabolic information in melanoma patients. Discrimination between BRAF- and NRAS mutation status was not feasible with CT texture analysis in this exploratory study.
MATERIAL AND METHODS: 66 melanoma patients, examined with contrast-enhanced 18F-FDG PET/CT before scheduled metastasectomy without any prior systemic therapy, were included in this single-centre retrospective analysis under IRB waiver. The largest, resected metastasis in each patient was assessed with CT texture analysis and semiquantitative 18F-FDG PET parameters. Correlation between imaging parameters and histopathological mutations (BRAF- and NRAS- genes) were calculated.
RESULTS: Attenuation standard deviation (SD) within target lesion indicated a weak correlation with its SUVpeak (rho -0.292, p 0.017). However, no correlation between CT texture analysis, metabolic 18F-FDG PET parameters and tumour cell mutation could be established.
CONCLUSION: CT texture parameters cannot replace the diagnostic value of 18F- FDG PET/CT for metabolic information in melanoma patients. Discrimination between BRAF- and NRAS mutation status was not feasible with CT texture analysis in this exploratory study.