FDG PET/CT in cancer therapy monitoring: computer-assisted analysis of baseline together with up to two follow-ups
Autor: | Roland Opfer, Ingwer-Curt Carlsen, S. Renisch, Ralph Buchert, Winfried Brenner, Thorsten Derlin, Ivayla Apostolova |
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Rok vydání: | 2010 |
Předmět: |
Adult
Male medicine.medical_specialty Image quality Cancer therapy Information Storage and Retrieval Sensitivity and Specificity 030218 nuclear medicine & medical imaging Pattern Recognition Automated Lesion 03 medical and health sciences 0302 clinical medicine Artificial Intelligence Fluorodeoxyglucose F18 Neoplasms Image Interpretation Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Aged PET-CT Lesion segmentation business.industry Orientation (computer vision) Cancer Reproducibility of Results General Medicine Middle Aged medicine.disease Image Enhancement Prognosis Treatment Outcome 030220 oncology & carcinogenesis Positron-Emission Tomography Fdg pet ct Female Radiology medicine.symptom Radiopharmaceuticals Nuclear medicine business Tomography X-Ray Computed Algorithms Follow-Up Studies |
Zdroj: | Nuklearmedizin. Nuclear medicine. 50(2) |
ISSN: | 0029-5566 |
Popis: | SummaryObjectives: We developed and tested a software tool for computer-assisted analysis of FDG-PET/CT in cancer therapy monitoring. The tool provides automatic semi-quantitative analysis of a baseline scan together with up to two follow-up scans (standardized uptake values, glycolytic volume). The tool also supports visual analysis by local spatial registration which allows display of tumor lesions with the same orientation in all scans. The tool’s stability and accuracy was tested at typical everyday image quality. Patients, methods: Ten unselected cancer patients in whom three FDG PET/CT scans had been performed were included. A total of 18 lesions were analyzed. Results: Automatic lesion tracking worked properly in all lesions but one. In this lesion local coregistration had to be adjusted manually tuwhich, however, is easily performed with the tool. Semi-automatic lesion segmentation and fully automatic semi-quantitative analysis worked properly in all cases. Computer-assisted analysis was significantly less time consuming than manual analysis. Conclusions: The novel software tool appears useful for analysis of FDGPET/ CT in cancer therapy monitoring in clinical routine patient care. |
Databáze: | OpenAIRE |
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