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
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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