Intensity adjustment radiotherapy planning dosiology indication item prediction method based on intelligent learning

An intensity-modulated radiotherapy and prediction method technology, applied in the field of medical radiotherapy, can solve problems such as difficulty in quantitatively evaluating the quality of radiotherapy plans, achieve fast and efficient dose optimization parameter setting and adjustment, reduce uncertainty, and effectively and accurately evaluate and control. Effect

Inactive Publication Date: 2018-11-27
SOUTHERN MEDICAL UNIVERSITY
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Problems solved by technology

[0006] The purpose of the present invention is to disclose a method for predicting dosimetry indication items suitable for intensity-modulated radiotherapy planning

Method used

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  • Intensity adjustment radiotherapy planning dosiology indication item prediction method based on intelligent learning
  • Intensity adjustment radiotherapy planning dosiology indication item prediction method based on intelligent learning
  • Intensity adjustment radiotherapy planning dosiology indication item prediction method based on intelligent learning

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Embodiment 1

[0055] In this example, the dosimetry index items were predicted for the bladder of prostate cancer patients, and the VMAT plans of 50 prostate cancer patients were collected from the Southwestern Medical Center of the University of Texas in the United States for the training of the linear correlation model.

[0056] First, the geometric features of the patient are extracted. In this embodiment, the combination of dDTHs of the rectum and bladder is used as the geometric features of the patient. Formula 1 is used to calculate the differential distribution of the distance between the organ at risk (rectum and bladder) and the target area (dDTH). The distance unit dr after dDTH discretization is set to 5mm, and the boundary distance r of rectum and bladder dDTH is limited to the range [-25,55]mm and [-30,80]mm respectively.

[0057] Then, according to the clinical guidelines for designing VMAT plans for patients with prostate tumors in the US Southwestern Medical Center, 8 interes...

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Abstract

The invention discloses an intensity adjustment radiotherapy planning dosiology indication item prediction method comprising the following steps: (1) collecting effective intensity adjustment radiotherapy plan data to form a case database; (2) calculating the distance-distribution map (dDTH) of the patient-affected organ from the target area as the geometric feature of the patient; (3) determiningan interested dose-learning index item; (4) establishing a linear correlation model between the geometric feature of the patient and the dosiology feature; (5) constructing a target function; (6) solving a target function to train an associated model by taking the geometric feature and the dosiology feature as the input by means of the improved bagging integrated learning algorithm; and (7) predicting the planned dosiology index value of the new patient by means of the linear correlation model. According to the invention, the method can achieve the dosiology indication item prediction of theintensity adjustment radiotherapy plan, and can be applied to quality control.

Description

technical field [0001] The invention relates to the technical field of medical radiation therapy, in particular to a method for predicting dosimetry index items of an intensity-modulated radiotherapy plan based on intelligent learning. Background technique [0002] Volume-modulated radiation therapy (VMAT) technology is an advanced tumor radiation therapy technology, which can effectively protect the surrounding normal tissues and organs at risk from unnecessary or minimal radiation while satisfying high dose distribution and high adaptability of the target area. Irradiation has thus become one of the main treatment modalities for many tumor types today. Due to the specificity of the geometric structure of each patient, the performance of the corresponding radiotherapy plan should be different. Therefore, in order to effectively ensure that the patient receives the best treatment, the design process of the radiotherapy plan should take this specificity into account, so that ...

Claims

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Application Information

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IPC IPC(8): G16H50/70G16H70/20
CPCG16H50/70G16H70/20
Inventor 宋婷周凌宏吴艾茜孔繁图郭芙彤
Owner SOUTHERN MEDICAL UNIVERSITY
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