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Automated detection of lung conditions for monitoring thoracic patients undergoing external beam radiation therapy

A technology for radiation therapy, conditions, applied in the field of computer readable media, which can solve the problem of undetectable medical conditions, achieve the effect of reducing variability and reducing time

Pending Publication Date: 2021-08-06
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, medical conditions that may develop in the intervals between weekly CBCT acquisitions may not be detected

Method used

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  • Automated detection of lung conditions for monitoring thoracic patients undergoing external beam radiation therapy
  • Automated detection of lung conditions for monitoring thoracic patients undergoing external beam radiation therapy
  • Automated detection of lung conditions for monitoring thoracic patients undergoing external beam radiation therapy

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Embodiment Construction

[0054] Radiation therapy (RT), particularly external beam radiation therapy (EBRT), is a modality of treatment for cancer in animal or human patients.

[0055] RT is best thought of as a process in terms of workflow, where certain steps are performed over time. Initially, RT begins with the diagnosis of cancer, which usually involves bringing together all available data about the patient, including image data, by a clinical professional. This (initial) data image data is obtained using a suitable medical imaging device implementing an imaging technique such as emission imaging (e.g. PET / SPEC) or transmission imaging, or imaging such as MRI (Magnetic Resonance Imaging) techniques, or a combination of any of these. Examples of transmission imaging contemplated herein include X-ray based tomography, CT (Computed Tomography). Like MRI, CT can generate 3D imaging, which is preferable for precise localization of lesions such as tumors.

[0056] Specifically, based on this initial...

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Abstract

A computerized system (SRS) for radiation therapy support. The system comprises an input interface (IN) for receiving an input image acquired by an imaging apparatus (IA1). The input image represents a region of interest (ROI) internal of a patient (PAT) and acquired before delivery of a dose fraction by a radiation therapy delivery apparatus (RTD). A pre-trained machine learning unit (MLU) of the system is configured to process the input image to detect a medical condition. A communication component (RC) of the system is configured to provide, based on the detected medical condition, an indication for one or more clinical actions to be performed in relation to the patient.

Description

technical field [0001] The invention relates to a computerized system for radiation therapy support, a computer-implemented method for radiation therapy support, a method of training a machine learning component for use in a computerized system, a computer program element and a computer readable medium. Background technique [0002] In external beam radiation therapy (EBRT), for example for thoracic malignancies, other anatomical changes and medical conditions of the lungs that occur during the course of the treatment are monitored, measured and recorded. These records trigger agreements and decisions regarding ongoing dispositions. Currently, visual inspection of CBCT (cone beam computed tomography) images is used to monitor and detect lung tissue changes and lung conditions. [0003] However, visual inspection is error-prone and time-consuming. Visual interpretation and diagnosis of lung conditions are specialized skills that require extensive training. Furthermore, RTT...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61N5/10A61B6/00A61B5/00G06N20/00A61B6/03G06N3/04G06N3/08
CPCG06N3/082A61B5/7267A61B6/032A61B6/037A61B6/4085A61B6/461A61B6/5217A61N5/1064G06N3/044G06N3/045G16H20/40G16H40/67G16H40/20G16H10/60G16H30/20G16H50/70G16H50/20G16H30/40G06N20/00A61N5/1039A61N2005/1074
Inventor M·L·邦达尔J·L·库斯特拉S·孔索利
Owner KONINKLJIJKE PHILIPS NV