Evaluation of an application for intensity-based deformable image registration and dose accumulation in radiotherapy
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作者:
Thor, Maria
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Mem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
Aarhus Univ Hosp, Dept Med Phys, DK-8000 Aarhus, DenmarkMem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
Thor, Maria
[1
,2
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Andersen, Else S.
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Aarhus Univ Hosp, Dept Med Phys, DK-8000 Aarhus, DenmarkMem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
Andersen, Else S.
[2
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Petersen, Jorgen B. B.
[2
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Sorensen, Thomas S.
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Aarhus Univ Hosp, Dept Oncol, DK-8000 Aarhus, DenmarkMem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
Sorensen, Thomas S.
[3
]
Noe, Karsten O.
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Alexandra Inst, Comp Graph Lab, Aarhus, Denmark
Aarhus Univ, Dept Comp Sci, DK-8000 Aarhus, DenmarkMem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
Noe, Karsten O.
[4
,5
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Tanderup, Kari
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Aarhus Univ Hosp, Dept Med Phys, DK-8000 Aarhus, DenmarkMem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
Tanderup, Kari
[2
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Bentzen, Lise
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Aarhus Univ Hosp, Dept Oncol, DK-8000 Aarhus, DenmarkMem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
Bentzen, Lise
[3
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Elstrom, Ulrik V.
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Aarhus Univ Hosp, Dept Med Phys, DK-8000 Aarhus, DenmarkMem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
Elstrom, Ulrik V.
[2
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Hoyer, Morten
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Aarhus Univ Hosp, Dept Oncol, DK-8000 Aarhus, DenmarkMem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
Hoyer, Morten
[3
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Muren, Ludvig P.
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Aarhus Univ Hosp, Dept Med Phys, DK-8000 Aarhus, Denmark
Aarhus Univ Hosp, Dept Oncol, DK-8000 Aarhus, DenmarkMem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
Muren, Ludvig P.
[2
,3
]
机构:
[1] Mem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
[2] Aarhus Univ Hosp, Dept Med Phys, DK-8000 Aarhus, Denmark
Background. Methods to accurately accumulate doses in radiotherapy (RT) are important for tumour and normal tissues being influenced by geometric uncertainties. The purpose of this study was to investigate a pre-release deformable image registration (DIR)-based dose accumulation application, in the setting of prostate RT. Material and methods. Initially accumulated bladder and prostate doses were assessed (based on 8-9 repeat CT scans/patient) for nine prostate cancer patients using an intensity-based DIR and dose accumulation algorithm as provided by the Dynamic Adaptive Radiation Therapy (DART) software. The accumulated bladder and prostate dose-volume histograms (DVHs) were compared on a range of parameters (paired Wilcoxon signed-rank test, 5% significance level) to DVHs derived using an in-house developed dose accumulation method based on biomechanical, contour-driven DIR (SurfaceRegistration). Finally, both these accumulated dose distributions were compared to the 'static' DVH, assessed from the planning CT. Results. Over the population, doses accumulated with DART were overall lower than those from SurfaceRegistration (p<0.05: D-2%, gEUD and NTCP (bladder); D-min (prostate)). The magnitude of these differences peaked for the bladder gEUD with a population median of 47 Gy for DART versus 57 Gy for SurfaceRegistration. Across the ten bladder dose/volume parameters investigated, the most pronounced individual differences were observed between the 'accumulated' DVHs and the 'static' DVHs, with deviations in mean dose up to 22 Gy. Conclusion. Substantial and significant differences were observed in the dose distributions between the two investigated DIR-based dose accumulation applications. The most pronounced individual differences were seen for the bladder and relative to the planned dose distribution, encouraging the use of repeat imaging data in RT planning and evaluation for this organ.
机构:
Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Artificial Intelligence Technol, Bangi 43600, MalaysiaUniv Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Artificial Intelligence Technol, Bangi 43600, Malaysia
Ahmad, Yasmin Mumtaz
Sahran, Shahnorbanun
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Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Artificial Intelligence Technol, Bangi 43600, MalaysiaUniv Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Artificial Intelligence Technol, Bangi 43600, Malaysia
Sahran, Shahnorbanun
Adam, Afzan
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Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Artificial Intelligence Technol, Bangi 43600, MalaysiaUniv Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Artificial Intelligence Technol, Bangi 43600, Malaysia
Adam, Afzan
Osman, Syazarina Sharis
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Univ Kebangsaan Malaysia, Hosp Canselor Tuanku Mukhriz Cheras, Dept Radiol, Kuala Lumpur 56000, MalaysiaUniv Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Artificial Intelligence Technol, Bangi 43600, Malaysia
机构:
Chiang Mai Univ, Fac Associated Med Sci, Dept Radiol Technol, Chiang Mai, Thailand
Chiang Mai Univ, Div Radiat Oncol, Dept Radiol, Fac Med, 110 Intavaroros Rd, Chiang Mai 50200, ThailandChiang Mai Univ, Fac Associated Med Sci, Dept Radiol Technol, Chiang Mai, Thailand
Nobnop, Wannapha
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Chitapanarux, Imjai
Neamin, Hudsaleark
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Chiang Mai Univ, Fac Associated Med Sci, Dept Radiol Technol, Chiang Mai, ThailandChiang Mai Univ, Fac Associated Med Sci, Dept Radiol Technol, Chiang Mai, Thailand
Neamin, Hudsaleark
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Wanwilairat, Somsak
Lorvidhaya, Vicharn
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Chiang Mai Univ, Div Radiat Oncol, Dept Radiol, Fac Med, 110 Intavaroros Rd, Chiang Mai 50200, ThailandChiang Mai Univ, Fac Associated Med Sci, Dept Radiol Technol, Chiang Mai, Thailand
Lorvidhaya, Vicharn
Sanghangthum, Taweap
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Chulalongkorn Univ, Div Radiat Oncol, Dept Radiol, Fac Med, Bangkok, ThailandChiang Mai Univ, Fac Associated Med Sci, Dept Radiol Technol, Chiang Mai, Thailand