Tumor volume measurement errors of RECIST studied with ellipsoids

Purpose: The authors investigate the extent to which Response Evaluation Criteria in Solid Tumors (RECIST) can predict tumor volumes in ideal geometric settings and using clinical data. Methods: The authors consider a hierarchy of models including uniaxial ellipsoids, general ellipsoids, and composi...

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Hauptverfasser: Levine, Zachary H. (VerfasserIn) , Galloway, Benjamin R. (VerfasserIn) , Peskin, Adele P. (VerfasserIn) , Heußel, Claus Peter (VerfasserIn) , Chen, Joseph J. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: May 2011
In: Medical physics
Year: 2011, Jahrgang: 38, Heft: 5, Pages: 2552-2557
ISSN:2473-4209
DOI:10.1118/1.3577602
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1118/1.3577602
Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1118/1.3577602
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Verfasserangaben:Zachary H. Levine, Benjamin R. Galloway, Adele P. Peskin, Claus P. Heussel, Joseph J. Chen

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520 |a Purpose: The authors investigate the extent to which Response Evaluation Criteria in Solid Tumors (RECIST) can predict tumor volumes in ideal geometric settings and using clinical data. Methods: The authors consider a hierarchy of models including uniaxial ellipsoids, general ellipsoids, and composites of ellipsoids, using both analytical and numerical techniques to show how well RECIST can predict tumor volumes in each case. The models have certain features that are compared to clinical data. Results: The principal conclusion is that a change in the reported RECIST value needs to be a factor of at least 1.2 to achieve a 95% confidence that one ellipsoid is larger than another assuming the ratio of maximum to minimum diameters is no more than 2, an assumption that is reasonable for some classes of tumors. There is a significant probability that RECIST will select a tumor other than the largest due to orientation effects of nonspherical tumors: in previously reported malignoma data, RECIST would have selected a tumor other than the largest in 9% of the cases. Also, the widely used spherical model connecting RECIST values for a single tumor to volumes overestimates these volumes. Conclusions: RECIST imposes a limit on the ability to determine tumor volumes, which is greater than the limit imposed by modern medical computed tomography machines. It is also likely the RECIST limit is above natural biological variability of stable lesions. The authors recommend the study of such natural variability as a fruitful avenue for further study. 
650 4 |a Anatomy 
650 4 |a Biomedical modeling 
650 4 |a cancer 
650 4 |a Cancer 
650 4 |a Composite models 
650 4 |a Computed tomography 
650 4 |a computerised tomography 
650 4 |a Liver 
650 4 |a Magnetic resonance imaging 
650 4 |a medical diagnostic computing 
650 4 |a Medical imaging 
650 4 |a numerical analysis 
650 4 |a Numerical approximation and analysis 
650 4 |a Numerical modeling 
650 4 |a physiological models 
650 4 |a Probability theory 
650 4 |a RECIST 
650 4 |a tumor size 
650 4 |a tumours 
650 4 |a volume measurement 
650 4 |a volumetric measurement 
650 4 |a x-ray imaging 
700 1 |a Galloway, Benjamin R.  |e VerfasserIn  |4 aut 
700 1 |a Peskin, Adele P.  |e VerfasserIn  |4 aut 
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700 1 |a Chen, Joseph J.  |e VerfasserIn  |4 aut 
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