Child pages
  • Fused Radiology-Pathology Lung Dataset (Lung-Fused-CT-Pathology)

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Localtab Group


Localtab
activetrue
titleData Access

Data Access

(Radiology)

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, 5.5 GB)

 

Annotated Whole Slide Pathology Images (TIF, 195 GB)

Image Removed

Clinical data (xlsxXLSX)

Supporting Data (ZIP)

Please note that Box has a 15GB download limit, so you will need to download images in batches.

Click the Versions tab for more info about data releases.


Localtab
titleDetailed Description

Detailed Description

Collection Statistics

 Radiology Image Statistics

Pathology Image Statistics

Modalities

CT, Histology compartments mapped on CT (DICOM)

Pathology

Number of Patients

6

6

Number of Studies

66

Number of Series

52N/A

Number of Images

11,210

25
Image Size (GB)5.5207

Supporting Documentation

Within the directory CT_Segmentations_and_annotations/CT_Segmentations/<ptID>/ there are five directories:

  1. BloodVessels (derived from CT)
  2. Nodule (derived from CT)
  3. MappedFromHistologyBloodVessels
  4. MappedFromHistologyInvasion
  5. MappedFromHistologyLesion

The filename to folder mappings for this directory structure are as follows:

  • CAP-lung-3000
    • S12-21226 B1, B2, B3, & B6
  • CAP-lung-3002
    • S08-30895 D1, D2, & D3
  • CAP-lung-3005
    • S06-13727 A3, A4, A5, & A6
  • CAP-lung-3009
    • Hist1, 2, 3, 4, & 5
  • CAP-lung-3011
    • CAP-LUNG-3011_D2, D3, D4, D5, & D6
  • Study 03
    • 12-13495 B1, B2, B3, & B4

The data set is fully described in the following publications:

  Rusu et al. Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study. European Radiology (2018); PMCID:PMC5630490 DOI:10.1007/s00330-017-4813-0

Pathology Data

Reconstructed, annotated whole slide pathology as well as fused Rad-Path objects are also available at https://pathology.cancerimagingarchive.net/pathdata/.


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to include the following citations in your work if you use this data set:

Info
titleData Citation

Madabhushi, A., & Rusu, M. (2018). Fused Radiology-Pathology Lung Dataset. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2018.SMT36LPN


Info
titlePublication Citation

Rusu et al. Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study. European Radiology (2018); PMCID:PMC5630490 DOI:10.1007/s00330-017-4813-0


Info
titleTCIA 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. (paper)

Other Publications Using This Data

TCIA maintains a list of publications that leverage our data. At this time we are not aware of any publications based on this data. If you have a publication you'd like to add, please contact the TCIA Helpdesk.


Localtab
titleVersions

Version 1 (Current) Updated 07-30-2018

Data TypeDownload all or Query/Filter
Images (DICOM,  5.5 GB)

 

(Requires the NBIA Data Retriever.)

Annotated Whole Slide Pathology Images (TIF, 195 GB)
Clinical data (xlsxXLSX)

Supporting Data (ZIP)

HistologyMappings

CT_Segmentations_and_annotations

Please note that Box has a 15GB download limit, so you will need to download images in batches.



...