Navigated ultrasound bronchoscopy with integrated positron emission tomography - A human feasibility study
收藏DataONE2025-02-27 更新2025-04-26 收录
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Patients suspected to have lung cancer undergo endobronchial ultrasound bronchoscopy (EBUS) for the purpose of diagnosis and staging. For presumptive curable patients, the EBUS bronchoscopy is planned based on images and data from computed tomography (CT) images and positron emission tomography (PET). Our study aimed to evaluate the feasibility of a multimodal electromagnetic (EM) navigation platform for EBUS bronchoscopy, integrating ultrasound and segmented CT, and PET scan imaging data. This proof-of-concept study included patients with suspected lung cancer identified on both CT and PET scans. Images obtained from these two modalities were segmented to delineate target lymph nodes and then incorporated into the CustusX navigation platform. The EBUS bronchoscope was equipped with a 3D printed click-on device with an integrated EM sensor at the tip. Navigation accuracy was measured postoperatively using ultrasound recordings. The study enrolled three patients, all presenting with susp..., , , # Navigated ultrasound bronchoscopy with integrated positron emission tomography - A human feasibility study
[https://doi.org/10.5061/dryad.6t1g1jx78](https://doi.org/10.5061/dryad.6t1g1jx78)
## Description of the data and file structure
The dataset contains thorax computed tomography (CT), positron emission tomography (PET), and ultrasound data from 3 patients undergoing endobronchial ultrasound bronchoscopy (EBUS) with transbronchial needle aspirations (TBNA).Â
The PET data is registered (non-linear) to the CT data.
Ultrasound data is aligned to the corresponding position of CT data using electromagnetic tracking (EMT).
### Files and variables
CT: Thorax computed tomography (CT), .mhd/.raw format
PET: Positron emission tomography (PET) registered to CT, .mhd/.raw format
Ultrasound: Ultrasound data of lymph nodes, .mhd/.zraw format
(.mhd files can be transferred to another format (i.e., .nii) in Python using ReadImage/WriteImage in SimpleITK)
创建时间:
2025-02-28



