X-Ray Computed Tomography: Semiautomated Volumetric Analysis of Late-Stage Lung Tumors as a Basis for Response Assessments
Autor: | M. Kietzmann, P. D. Mozley, Günter Schmidt, Gerd Binnig, Rene Korn, Claus Bendtsen |
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Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
lcsh:Medical physics. Medical radiology. Nuclear medicine
Pathology medicine.medical_specialty Lung lcsh:Medical technology Article Subject business.industry lcsh:R895-920 Cancer medicine.disease Imaging phantom Confidence interval medicine.anatomical_structure lcsh:R855-855.5 Response Evaluation Criteria in Solid Tumors X ray computed medicine Radiology Nuclear Medicine and imaging Tomography business Lung cancer Nuclear medicine Research Article |
Zdroj: | International Journal of Biomedical Imaging, Vol 2011 (2011) International Journal of Biomedical Imaging |
ISSN: | 1687-4196 1687-4188 |
Popis: | Background. This study presents a semiautomated approach for volumetric analysis of lung tumors and evaluates the feasibility of using volumes as an alternative to line lengths as a basis for response evaluation criteria in solid tumors (RECIST). The overall goal for the implementation was to accurately, precisely, and efficiently enable the analyses of lesions in the lung under the guidance of an operator.Methods. An anthropomorphic phantom with embedded model masses and 71 time points in 10 clinical cases with advanced lung cancer was analyzed using a semi-automated workflow. The implementation was done using the Cognition Network Technology.Results. Analysis of the phantom showed an average accuracy of 97%. The analyses of the clinical cases showed both intra- and interreader variabilities of approximately 5% on average with an upper 95% confidence interval of 14% and 19%, respectively. Compared to line lengths, the use of volumes clearly shows enhanced sensitivity with respect to determining response to therapy.Conclusions. It is feasible to perform volumetric analysis efficiently with high accuracy and low variability, even in patients with late-stage cancer who have complex lesions. |
Databáze: | OpenAIRE |
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