Child pages
  • Ultrasound data of a variety of liver masses (B-mode-and-CEUS-Liver)
Skip to end of metadata
Go to start of metadata

Summary

Data were generated as part of two ongoing clinical trials investigating the use of contrast-enhanced ultrasound to a) characterize indeterminate liver lesions and b) monitor treatment response to loco regional therapy. Ultrasound data was obtained on a variety of state of the art ultrasound scanners with curvilinear probes. Gain, dynamic range, focus position and depth were optimized for image quality by the performing sonographer. Images of the mass in both sagittal and transverse planes were obtained and saved in DICOM format. Full cine-loops of the contrast enhanced ultrasound are also saved in DICOM format. The reference standard used for lesion characterization included tissue pathology and contrast-enhanced cross-sectional imaging within 1 month of the ultrasound exam. The initial treatment response to transarterial chemoembolization is also available for many hepatocellular carcinoma (HCC) cases and uses pathology, retreatment angiography, or longer-term tumor response on cross-sectional imaging as a reference standard.

We expect these images can be used in a wide variety of image processing application. We are currently exploring a variety of automated intelligence algorithms for AI-based lesion characterization. Algorithms for object detection and segmentation may also be of interest. As the studies that have generated this data are also ongoing, it is expected that we can add volumetric data, contrast-enhanced ultrasound cine loops, and longer-term treatment response data to this data set in the future.


Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • Thomas Jefferson University, Philadelphia, PA, USA - Special thanks to John Eisenbrey, PhD from the Department of Radiology, Andrej Lyshchik, MD, PhD from the Department of Radiology, Corinne Wessner, MBA from the Department of Radiology

  • This work was supported in whole or in part under R01 CA194307 ; R01 CA215520 .

Data Access

Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.

Data TypeDownload all or Query/Filter
Images (DICOM, 208 GB)

       

(Download requires NBIA Data Retriever app)

Clinical data (XLSX, 19KB)

Click the Versions tab for more info about data releases.

Detailed Description

Image Statistics


Modalities

US (B-Mode)

Number of Participants

75

Number of Studies

75

Number of Series

75

Number of Images

1370

Images Size (GB)208 GB


Citations & Data Usage Policy

Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 4.0 International License under which it has been published. Attribution should include references to the following citations:    

Data Citation

Eisenbrey, J., Lyshchik, A., & Wessner, C. (2021). Ultrasound data of a variety of liver masses [Data set]. The Cancer Imaging Archive.  DOI: https://doi.org/10.7937/TCIA.2021.v4z7-tc39

TCIA Citation

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7

Other Publications Using This Data

TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.

Version 1 (Current): Updated 2021/08/04

Data TypeDownload all or Query/Filter
Images (DICOM, 208 GB)

       

(Download requires NBIA Data Retriever app)

Clinical data (XLSX, 19KB)

7/28/21 Added new subjects.
8/4/21 Added spreadsheet.






  • No labels