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  • QIN multi-site collection of Lung CT data with Nodule Segmentations (QIN-LungCT-Seg)

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Summary

This dataset (also known as the “moist run” among QIN sites) contains CT images (41 total scans) of non-small cell lung cancer from: the Reference Image Database to Evaluate Therapy Response (RIDER), the Lung Image Database Consortium (LIDC), patients from Stanford University Medical Center and the Moffitt Cancer Center, and the Columbia University/FDA Phantom. In addition, 3 academic institutions (Columbia, Stanford, Moffitt-USF) each ran their own segmentation algorithm on a total of 52 tumor volumes.  Segmentations were performed 3 different times with different initial conditions, resulting in 9 segmentations formatted as DICOM Segmentation Objects (DSOs) for each tumor volume, for a total of 468 segmentations. This collection may be useful for designing and comparing competing segmentation algorithms, for establishing acceptable ranges of variability in volume and segmentation borders, and for developing algorithms for creating cancer biomarkers from features computed from the segmented tumors and their environments.

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Localtab Group



Localtab
activetrue
titleData Access

Data Access


Data TypeDownloadLicense
Segmentations
-
(378 series
(
, DICOM)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/20644453/QIN%20Multi-site%20Lung%20SEG%20Only%20%28minus%20Stanford%29.tcia?version=1&modificationDate=1545170222429&api=v2

Segmentations download

(Requires NBIA Data Retriever) 

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CT Images & Segmentations
Combined - 409 series  (
Combined  (409 series, DICOM)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/20644453/QIN%20Multi-site%20Lung%20CTs%20and%20SEG%20%28minus%20Stanford%29.tcia?api=v2

images and results

(Requires NBIA Data Retriever) 

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Lung Phantom Nodule
Location
  • Lung Phantom Nodule Locations
  • QIN Lung Nodule Locations
    • Locations Documentation (
    spreadsheets)
    xls)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/19038560/a_CU_12PhantomLocations.xls?version=1&modificationDate=1412707717723&api=v2



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    QIN LUNG CT Nodule Locations Documentation (xls)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/19038560/a_moffitt%20remapping.xls?version=1&modificationDate=1412707717954&api=v2



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    RIDER Lung CT Nodule Locations
    LIDC-IDRI Nodule Locations
    Documentation (xls)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/19038560/a_RIDER_locations_rev3.xls?version=1&modificationDate=1412707718311&api=v2



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    Please contact help@cancerimagingarchive.net  with any questions regarding usage.

    LIDC-IDRI Nodule Locations Documentation (xls)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/19038560/a_lidcMoistFinal2%20remapping.xls?version=1&modificationDate=1412707717900&api=v2



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    Collections Used in this Third Party Analysis

    Below is a list of the Collections used in these analyses:

    Source Data TypeDownloadLicense
    Corresponding Original CT Images from Lung Phantom, LIDC-IDRI, QIN LUNG CT, and RIDER Lung CT - 31 series (DICOM)
    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/20644453/QIN%20Multi-site%20Lung%20CTs%20%28minus%20Stanford%29.tcia?version=1&modificationDate=1545170229923&api=v2

    Source CT only download

    (Requires NBIA Data Retriever) 

    Tcia cc by 3





    Localtab
    titleDetailed Description

    Detailed Description

    For more information on versioning, please refer to the Versions tab.


    To download all DICOM source CT Images & Segmentations Combined - 409 series  (DICOM) you can use this link : QIN Multi-site Lung CTs and SEG (minus Stanford).tcia(Download requires NBIA Data Retriever) 




    Localtab
    titleCitations & Data Usage Policy

    Citations & Data Usage Policy 

     

    Tcia limited license policy

    Info
    titleData Citation

    Kalpathy-Cramer, J., Napel, S., Goldgof, D., & Zhao, B. (2015). Multi-site collection of Lung CT data with Nodule Segmentations (version 3) [Data set]. The Cancer Imaging Archive. DOI: https://doi.org/10.7937/k9/tcia.2015.1buvfjr7 


    Info
    titlePublication Citation

    Kalpathy-Cramer, J., Zhao, B., Goldgof, D., Gu, Y., Wang, X., Yang, H., Tan, Y., Gillies, R., & Napel, S. (2016). A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. In Journal of Digital Imaging (Vol. 29, Issue 4, pp. 476–487).  https://doi.org/10.1007/s10278-016-9859-z


    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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 PMCID: PMC3824915


    Other Publications Using This Data

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




    Localtab
    titleVersions

    Version 3 (Current): 2018/12/18


    Data TypeDownload all or Query/Filter
    CT Images - 31 series (DICOM)

    Segmentations - 378 series (DICOM)

    CT Images & Segmetations Segmentations Combined - 409 series  (DICOM)


    Note: In December 2018 it was discovered that an update to NSCLC Radiogenomics mistakenly resulted in the deletion of the segmentation data for this analysis set.  As a result, version 3 excludes the Stanford NSCLC Radiogenomics subset of the analyses.

    Version 2: 2015/12/21

    On 9/14/2015 this DOI was updated to resolve problems with 9 of the segmentations being incorrectly labeled.  The Series Instance UIDs in the original data set which have since been deleted from TCIA are:

    1.2.276.0.7230010.3.1.3.0.34323.1424694723.968333
    1.2.276.0.7230010.3.1.3.0.34343.1424694769.748096
    1.2.276.0.7230010.3.1.3.0.32279.1424660367.640148
    1.2.276.0.7230010.3.1.3.0.3373.1415292738.832393
    1.2.276.0.7230010.3.1.3.0.32259.1424660332.352116
    1.2.276.0.7230010.3.1.3.0.32238.1424660298.604243
    1.2.276.0.7230010.3.1.3.0.3306.1415292638.342990
    1.2.276.0.7230010.3.1.3.0.3345.1415292685.22320
    1.2.276.0.7230010.3.1.3.0.34303.1424694693.127541

    These have been replaced with the following new segmentation series:

    1.2.276.0.7230010.3.1.3.0.21757.1437749726.319319 
    1.2.276.0.7230010.3.1.3.0.21734.1437749686.271681 
    1.2.276.0.7230010.3.1.3.0.21713.1437749624.694944 
    1.2.276.0.7230010.3.1.3.0.95052.1441388220.839236 
    1.2.276.0.7230010.3.1.3.0.95027.1441388189.267094 
    1.2.276.0.7230010.3.1.3.0.95003.1441388142.544126 
    1.2.276.0.7230010.3.1.3.0.3233.1437599346.502866 

    Previous version spreadsheets:

    Version 1: 2015/09/15

    Original release of dataset.



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