Marker adapted normal tissue complication probability

A complication and tissue technology, applied in the field of treatment, can solve the problems of systematic inaccuracy of NTCP model, patient recurrence, and reduction of tumor control, so as to increase the probability of tumor control, reduce serious side effects, and reduce unnecessary recurrence.

Active Publication Date: 2012-02-29
KONINKLIJKE PHILIPS ELECTRONICS NV
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  • Summary
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AI Technical Summary

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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  • Marker adapted normal tissue complication probability
  • Marker adapted normal tissue complication probability
  • Marker adapted normal tissue complication probability

Examples

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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 therapy system includes a diagnostic image scanner (12) that acquires a diagnostic image of a target region to be treated. A planning processor (70) is configured to generate a patient specific adaptive radiation therapy plan based on patient specific biomarkers before and during therapy. A first set of patient specific biomarkers is determined then used for the determination of a first normal tissue complication probability (NTCP) model and a first tumor control probability (TCP) model. A radiation therapy device (40) administers a first dose of radiation to the target region with a protocol based on the first NTCP model and the first TCP model. A second set of patient specific biomarkers is determined. A relationship between the first set and second set of patient specific biomarkers is used to determine a second NTCP model and a second TCP model. The radiation therapy device (40) administers a second dose of radiation to the target region with a protocol based on the second NTCP model and 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 Applications(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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