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Flag-adapted normal tissue complication probability

A complication and tissue technology, applied in the field of treatment, can solve the problems of patient recurrence, reduce tumor control, and systematic inaccuracy of the NTCP model, and achieve the effect of reducing serious side effects, reducing unnecessary recurrence, and increasing the probability of tumor control

Active Publication Date: 2016-06-22
KONINKLIJKE PHILIPS ELECTRONICS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Ignoring such individual risk factors constitutes a systematic inaccuracy of the current NTCP model, leading to individual misestimations of the NTCP model
Overestimation of NTCP may result in a suboptimal dose delivered to the tumor, thus reducing tumor control and leading to possible relapse in the patient
Underestimating NTCP may lead to serious side effects, possibly prematurely suspending treatment

Method used

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  • Flag-adapted normal tissue complication probability
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  • Flag-adapted normal tissue complication probability

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Embodiment Construction

[0032] The invention may take form in various components and arrangements of components, and in various steps and arrangements of steps. The accompanying drawings are for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the invention.

[0033] refer to figure 1 A treatment system 10, such as a radiation therapy system, includes a diagnostic imaging scanner 12, such as a computed tomography (CT) imaging scanner, an MRI scanner, etc., for obtaining diagnostic images for use in planning a radiation therapy procedure. CT imaging scanner 12 includes an x-ray source 14 mounted on a rotating gantry 16 . X-ray source 14 generates X-rays that pass through examination region 18 where they interact with a target area of ​​a subject (not shown) supported by support 20 within examination region 18 Locate the target area. The X-ray detector array 22 is arranged to receive the X-ray beam after it passes through the examination region 18 where ...

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Abstract

A treatment system includes a diagnostic image scanner (12) that acquires diagnostic images of a target area to be treated. The planning processor (70) is configured to generate a patient-specific adaptive radiation therapy plan based on patient-specific biomarkers before and during treatment. A first panel of patient-specific biomarkers was determined, which was then used to determine a first normal tissue complication probability (NTCP) model and a first tumor control probability (TCP) model. A radiation therapy device (40) delivers a first dose of radiation to a target area using a protocol based on the first NTCP model and the first TCP model. A second panel of patient-specific biomarkers was identified. A second NTCP model and a second TCP model are determined using the relationship between the first set and the second set of patient-specific biomarkers. A radiation therapy device (40) delivers a second dose of radiation to the target area using a protocol based on the second NTCP model and the second TCP model.

Description

technical field [0001] The present invention relates to the field of therapy. In particular it relates to the planning of radiotherapy protocols for subjects utilizing radiation to deliver controlled treatments to targets and is described with particular reference thereto. Background technique [0002] Oncological radiotherapy is used to treat diseased tissue by applying ionizing radiation, such as high energy photons, protons, neutrons, electrons, heavy charged particles such as carbon ions, etc., to the diseased tissue or diseased area. Irradiated healthy tissue is usually damaged at least to some extent by radiation therapy, and such radiation can produce deleterious side effects. To minimize damage to healthy tissue, the probabilistic model is assigned to diseased and healthy tissue at risk. Examples of such models are Tumor Control Probability (TCP) and Normal Tissue Complication Probability (NTCP). TCP is a probabilistic disease model that gives estimates of local t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61N5/10G16H10/40G16H20/40G16H50/50G16H70/60
CPCA61N5/1038A61N5/103G16H70/60G16H10/40G16H50/50G16H20/40
Inventor M·韦布瑞切J·C·格奥尔基C·M·里宾
Owner KONINKLIJKE PHILIPS ELECTRONICS NV
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