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SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor
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| Zeitschriftentitel: | Medical Physics |
|---|---|
| Personen und Körperschaften: | , , , , |
| In: | Medical Physics, 43, 2016, 6Part9, S. 3419-3419 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
| author_facet |
Yan, D Chen, S Krauss, D Chen, P Wilson, G Yan, D Chen, S Krauss, D Chen, P Wilson, G |
|---|---|
| author |
Yan, D Chen, S Krauss, D Chen, P Wilson, G |
| spellingShingle |
Yan, D Chen, S Krauss, D Chen, P Wilson, G Medical Physics SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor General Medicine |
| author_sort |
yan, d |
| spelling |
Yan, D Chen, S Krauss, D Chen, P Wilson, G 0094-2405 2473-4209 Wiley General Medicine http://dx.doi.org/10.1118/1.4955967 <jats:sec><jats:title>Purpose:</jats:title><jats:p>To fulfill precision radiotherapy via adaptive dose painting by number, voxel‐by‐voxel dose response or radio‐sensitivity in individual human tumor needs to be determined in early treatment to guide treatment adaptation. In this study, multiple FDG PET images obtained pre‐ and weekly during the treatment course were utilized to determine the distribution/spectrum of dose response parameters in individual human tumors.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>FDG PET/CT images of 18 HN cancer patients were used in the study. Spatial parametric image of tumor metabolic ratio (dSUV) was created following voxel by voxel deformable image registration. Each voxel value in dSUV was a function of pre‐treatment baseline SUV and treatment delivered dose, and used as a surrogate of tumor survival fraction (SF). Regression fitting with break points was performed using the LQ‐model with tumor proliferation for the control and failure group of tumors separately. The distribution and spectrum of radiation sensitivity and growth in individual tumors were determined and evaluated.</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>Spectrum of tumor dose‐sensitivity and proliferation in the controlled group was broad with α in tumor survival LQ‐model from 0.17 to 0.8. It was proportional to the baseline SUV. Tlag was about 21∼25 days, and Tpot about 0.56∼1.67 days respectively. Commonly tumor voxels with high radio‐sensitivity or larger α had small Tlag and Tpot. For the failure group, the radio‐sensitivity α was low within 0.05 to 0.3, but did not show clear Tlag. In addition, tumor voxel radio‐sensitivity could be estimated during the early treatment weeks.</jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p>Dose response distribution with respect to radio‐sensitivity and growth in individual human tumor can be determined using FDG PET imaging based tumor metabolic ratio measured in early treatment course. The discover is critical and provides a potential quantitative objective to implement tumor specific precision radiotherapy via adaptive dose painting by number.</jats:p></jats:sec> SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor Medical Physics |
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Wiley, 2016 |
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Wiley, 2016 |
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0094-2405 2473-4209 |
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| title |
SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_unstemmed |
SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_full |
SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_fullStr |
SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_full_unstemmed |
SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_short |
SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_sort |
su‐f‐j‐59: assessment of dose response distribution in individual human tumor |
| topic |
General Medicine |
| url |
http://dx.doi.org/10.1118/1.4955967 |
| publishDate |
2016 |
| physical |
3419-3419 |
| description |
<jats:sec><jats:title>Purpose:</jats:title><jats:p>To fulfill precision radiotherapy via adaptive dose painting by number, voxel‐by‐voxel dose response or radio‐sensitivity in individual human tumor needs to be determined in early treatment to guide treatment adaptation. In this study, multiple FDG PET images obtained pre‐ and weekly during the treatment course were utilized to determine the distribution/spectrum of dose response parameters in individual human tumors.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>FDG PET/CT images of 18 HN cancer patients were used in the study. Spatial parametric image of tumor metabolic ratio (dSUV) was created following voxel by voxel deformable image registration. Each voxel value in dSUV was a function of pre‐treatment baseline SUV and treatment delivered dose, and used as a surrogate of tumor survival fraction (SF). Regression fitting with break points was performed using the LQ‐model with tumor proliferation for the control and failure group of tumors separately. The distribution and spectrum of radiation sensitivity and growth in individual tumors were determined and evaluated.</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>Spectrum of tumor dose‐sensitivity and proliferation in the controlled group was broad with α in tumor survival LQ‐model from 0.17 to 0.8. It was proportional to the baseline SUV. Tlag was about 21∼25 days, and Tpot about 0.56∼1.67 days respectively. Commonly tumor voxels with high radio‐sensitivity or larger α had small Tlag and Tpot. For the failure group, the radio‐sensitivity α was low within 0.05 to 0.3, but did not show clear Tlag. In addition, tumor voxel radio‐sensitivity could be estimated during the early treatment weeks.</jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p>Dose response distribution with respect to radio‐sensitivity and growth in individual human tumor can be determined using FDG PET imaging based tumor metabolic ratio measured in early treatment course. The discover is critical and provides a potential quantitative objective to implement tumor specific precision radiotherapy via adaptive dose painting by number.</jats:p></jats:sec> |
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| author | Yan, D, Chen, S, Krauss, D, Chen, P, Wilson, G |
| author_facet | Yan, D, Chen, S, Krauss, D, Chen, P, Wilson, G, Yan, D, Chen, S, Krauss, D, Chen, P, Wilson, G |
| author_sort | yan, d |
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| description | <jats:sec><jats:title>Purpose:</jats:title><jats:p>To fulfill precision radiotherapy via adaptive dose painting by number, voxel‐by‐voxel dose response or radio‐sensitivity in individual human tumor needs to be determined in early treatment to guide treatment adaptation. In this study, multiple FDG PET images obtained pre‐ and weekly during the treatment course were utilized to determine the distribution/spectrum of dose response parameters in individual human tumors.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>FDG PET/CT images of 18 HN cancer patients were used in the study. Spatial parametric image of tumor metabolic ratio (dSUV) was created following voxel by voxel deformable image registration. Each voxel value in dSUV was a function of pre‐treatment baseline SUV and treatment delivered dose, and used as a surrogate of tumor survival fraction (SF). Regression fitting with break points was performed using the LQ‐model with tumor proliferation for the control and failure group of tumors separately. The distribution and spectrum of radiation sensitivity and growth in individual tumors were determined and evaluated.</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>Spectrum of tumor dose‐sensitivity and proliferation in the controlled group was broad with α in tumor survival LQ‐model from 0.17 to 0.8. It was proportional to the baseline SUV. Tlag was about 21∼25 days, and Tpot about 0.56∼1.67 days respectively. Commonly tumor voxels with high radio‐sensitivity or larger α had small Tlag and Tpot. For the failure group, the radio‐sensitivity α was low within 0.05 to 0.3, but did not show clear Tlag. In addition, tumor voxel radio‐sensitivity could be estimated during the early treatment weeks.</jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p>Dose response distribution with respect to radio‐sensitivity and growth in individual human tumor can be determined using FDG PET imaging based tumor metabolic ratio measured in early treatment course. The discover is critical and provides a potential quantitative objective to implement tumor specific precision radiotherapy via adaptive dose painting by number.</jats:p></jats:sec> |
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| imprint | Wiley, 2016 |
| imprint_str_mv | Wiley, 2016 |
| institution | DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-D161, DE-Gla1, DE-Zi4, DE-15 |
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| series | Medical Physics |
| source_id | 49 |
| spelling | Yan, D Chen, S Krauss, D Chen, P Wilson, G 0094-2405 2473-4209 Wiley General Medicine http://dx.doi.org/10.1118/1.4955967 <jats:sec><jats:title>Purpose:</jats:title><jats:p>To fulfill precision radiotherapy via adaptive dose painting by number, voxel‐by‐voxel dose response or radio‐sensitivity in individual human tumor needs to be determined in early treatment to guide treatment adaptation. In this study, multiple FDG PET images obtained pre‐ and weekly during the treatment course were utilized to determine the distribution/spectrum of dose response parameters in individual human tumors.</jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p>FDG PET/CT images of 18 HN cancer patients were used in the study. Spatial parametric image of tumor metabolic ratio (dSUV) was created following voxel by voxel deformable image registration. Each voxel value in dSUV was a function of pre‐treatment baseline SUV and treatment delivered dose, and used as a surrogate of tumor survival fraction (SF). Regression fitting with break points was performed using the LQ‐model with tumor proliferation for the control and failure group of tumors separately. The distribution and spectrum of radiation sensitivity and growth in individual tumors were determined and evaluated.</jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p>Spectrum of tumor dose‐sensitivity and proliferation in the controlled group was broad with α in tumor survival LQ‐model from 0.17 to 0.8. It was proportional to the baseline SUV. Tlag was about 21∼25 days, and Tpot about 0.56∼1.67 days respectively. Commonly tumor voxels with high radio‐sensitivity or larger α had small Tlag and Tpot. For the failure group, the radio‐sensitivity α was low within 0.05 to 0.3, but did not show clear Tlag. In addition, tumor voxel radio‐sensitivity could be estimated during the early treatment weeks.</jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p>Dose response distribution with respect to radio‐sensitivity and growth in individual human tumor can be determined using FDG PET imaging based tumor metabolic ratio measured in early treatment course. The discover is critical and provides a potential quantitative objective to implement tumor specific precision radiotherapy via adaptive dose painting by number.</jats:p></jats:sec> SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor Medical Physics |
| spellingShingle | Yan, D, Chen, S, Krauss, D, Chen, P, Wilson, G, Medical Physics, SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor, General Medicine |
| title | SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_full | SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_fullStr | SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_full_unstemmed | SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_short | SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| title_sort | su‐f‐j‐59: assessment of dose response distribution in individual human tumor |
| title_unstemmed | SU‐F‐J‐59: Assessment of Dose Response Distribution in Individual Human Tumor |
| topic | General Medicine |
| url | http://dx.doi.org/10.1118/1.4955967 |