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Probabilistic optim...
Probabilistic optimization of dose coverage in radiotherapy
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- Tilly, David, 1974- (författare)
- Uppsala universitet,Medicinsk strålningsvetenskap,Uppsala Univ, Dept Immunol Genet & Pathol, Med Radiat Phys, Uppsala, Sweden.;Akad Hosp, Med Phys, Uppsala, Sweden.;Elekta Instruments AB, Stockholm, Sweden.
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- Holm, Asa (författare)
- Elekta Instruments AB, Stockholm, Sweden.
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- Grusell, Erik (författare)
- Uppsala universitet,Medicinsk strålningsvetenskap
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- Ahnesjö, Anders, 1953- (författare)
- Uppsala universitet,Medicinsk strålningsvetenskap,Uppsala Univ, Dept Immunol Genet & Pathol, Med Radiat Phys, Uppsala, Sweden.;Akad Hosp, Med Phys, Uppsala, Sweden.
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(creator_code:org_t)
- ELSEVIER, 2019
- 2019
- Engelska.
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Ingår i: Physics and Imaging in Radiation Oncology. - : ELSEVIER. - 2405-6316. ; 10, s. 1-6
- Relaterad länk:
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https://doi.org/10.1...
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https://uu.diva-port... (primary) (Raw object)
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http://phiro.science...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Background and purpose: Probabilistic optimization is an alternative to margins for handling geometrical uncertainties in treatment planning of radiotherapy where uncertainties are explicitly incorporated in the optimization. We present a novel probabilistic method based on the same statistical measures as those behind conventional margin based planning. Material and methods: Percentile Dosage (PD) was defined as the dose coverage that a treatment plan meet or exceed to a given probability. For optimization, we used the convex measure Expected Percentile Dosage (EPD) defined as the average dose coverage below a given PD. An iterative method gradually adjusted the constraint tolerance associated with the EPD until the desired target PD was met. It was applied to planning of cervical cancer patients focusing on systematic uncertainty caused by organ deformation. The resulting plans were compared to margin based plans using target and organ at risk PDs. Results: The EPD tolerance converged in less than ten iterations to produce a PD within 0.1 Gy of the requested. The PD was on average within 0.5% of the requested PD when validated versus independent scenarios. The rectum volume, extracted from the PDs, receiving 90% of the intended target dose was decreased with 16% for the same target PD in comparison to margin based plans. Conclusions: The proposed probabilistic optimization method enabled prescription of a dose volume histogram metric to a chosen confidence. The probabilistic plans showed improved target dose homogeneity and decreased rectum dose for the same target dose coverage compared to margin based plans.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- Radiotherapy
- Probabilistic optimization
- Conditional Value at Risk
- Organ motion
- Deformation
- Cervix
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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