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: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
May 2011
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| 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 |
| Verfasserangaben: | Zachary H. Levine, Benjamin R. Galloway, Adele P. Peskin, Claus P. Heussel, Joseph J. Chen |
MARC
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| 100 | 1 | |a Levine, Zachary H. |e VerfasserIn |0 (DE-588)116618014X |0 (DE-627)1030127395 |0 (DE-576)510666175 |4 aut | |
| 245 | 1 | 0 | |a Tumor volume measurement errors of RECIST studied with ellipsoids |c 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 | |
| 700 | 1 | |a Heußel, Claus Peter |e VerfasserIn |0 (DE-588)1048631389 |0 (DE-627)780769422 |0 (DE-576)40288146X |4 aut | |
| 700 | 1 | |a Chen, Joseph J. |e VerfasserIn |4 aut | |
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