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QIN-PROSTATE-REPEATABILITY

The Cancer Imaging Archive

QIN-PROSTATE-Repeatability | QIN-PROSTATE-Repeatability

DOI: 10.7937/K9/TCIA.2018.MR1CKGND | Data Citation Required | Image Collection

Location Species Subjects Data Types Cancer Types Size Supporting Data Status Updated
Prostate Human 15 SEG, MR, SR Prostate Cancer 14.86GB Image Analyses Public, Complete 2020/11/09

Summary

This is a dataset with multiparametric prostate MRI applied in a test-retest setting, allowing to evaluate repeatability of the MRI-based measurements in the prostate. There is very limited data about the repeatability in mpMRI of the prostate, while such information is critical for establishing technical characteristics of mpMRI as imaging biomarker of prostate cancer.

Data was provided by the Brigham and Women's Hospital team. Data collection was supported by U01 CA151261 (PI Fiona Fennessy). Preparation of data for public sharing was supported by U24 CA180918 (http://qiicr.org) (MPI Andrey Fedorov and Ron Kikinis).

Type of cancer: Confirmed or suspected prostate cancer

Acquisition Protocol: Standard prostate mpMRI protocol implemented at Brigham and Women's Hospital was used in this study. For a given patient, we aimed to maintain similar protocol settings, and used the same scanner hardware and software configurations for both the baseline and repeat examinations, which were acquired within 2 weeks of time. All of the imaging studies were acquired at 3 Tesla magnet strength.  Due to the scanner hardware upgrade in the middle of the study, 6 of the patients had baseline and repeat study performed on a GE Signa HDxt platform, software release 15.0_M4A_097.a, while the remaining 7 patients were scanned on a GE Discovery MR750w, software release DV24.0_R01_1344 (General Electric Healthcare, Milwaukee, WI). Transrectal coil within an air-filled balloon (Medrad Inc., Warrendale, PA) was used in all imaging studies. mpMRI protocol included T2-weighted, Diffusion Weighted (DW) (b-values of 0 and 1400 mm/s2) and Dynamic Contrast Enhanced (DCE) sequences. Detailed acquisition parameters are listed in Table 1 of [1]. DWI Apparent Diffusion Coefficient (ADC) and DCE subtract maps (further referred to as SUB; computed as the difference between the phase corresponding to the contrast bolus arrival and the baseline phase) were generated using the scanner software.

The imaging data is accompanied by the following types of derived data:

  • manual segmentations of the total prostate gland, peripheral zone of the prostate gland, suspected tumor and normal regions (where applicable). Segmentations were done by a radiologist with the expertise in prostate MRI
  • volume measurements (for axial T2w images and ADC images) and mean ADC (for ADC images) corresponding to the segmented regions.

Both segmentations and segmentation-based measurements are stored as DICOM objects (DICOM Segmentation images and DICOM Structured Reports that follow DICOM SR TID 1500). For the details about data representation and tools available to convert and visualize the data see [2].

In the future we plan to augment this dataset with the parametric maps obtained using that analysis (in DICOM), and potentially (pending IRB clearance) clinical data (demographics, PSA), pathology sampling data (biopsy Gleason score) and results of PI-RADS interpretation.

References:

[1] Fedorov A, Vangel MG, Tempany CM, Fennessy FM. Multiparametric Magnetic Resonance Imaging of the Prostate: Repeatability of Volume and Apparent Diffusion Coefficient Quantification. Investigative Radiology. 52, 538–546 (2017). DOI:  10.1097/RLI.0000000000000382

[2] Fedorov, A., Schwier, M., Clunie, D., Herz, C., Pieper, S., Kikinis,R., Tempany, C. & Fennessy, F. An annotated test-retest collection of prostate multiparametric MRI. Scientific Data 5, 180281 (2018). DOI: 10.1038/sdata.2018.281

About the NCI QIN

The mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the Quantitative Imaging Network Collections page. Interested investigators can apply to the QIN at: Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150.

Data Access

Version 3: Updated

Lifted embargo; data are now visible without login. Usage should still abide by TCIA’s Data Usage Policies and Restrictions

Title Data Type Format Access Points Subjects Studies Series Images License
Images and Segmentations SEG, MR, SR DICOM
Download requires NBIA Data Retriever
15 30 330 38,500 CC BY 4.0

Additional Resources for this Dataset

The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.

  • Imaging Data Commons (IDC) (Imaging Data)
  • Citations & Data Usage Policy

    Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:

    Data Citation

    Fedorov, A; Schwier, M; Clunie, D; Herz, C; Pieper, S; Kikinis, R; Tempany, C; Fennessy, F. (2018). Data From QIN-PROSTATE-Repeatability. The Cancer Imaging Archive. DOI: 10.7937/K9/TCIA.2018.MR1CKGND

    Detailed Description

    Note: in the article at doi:  10.1097/RLI.0000000000000382 , “Subject 1” is associated with “PCAMPMRI-00001” in TCIA.

    Additional Publications Related to this Work

    The Collection authors suggest the below will give context to this dataset:

    • Schwier M, van Griethuysen J, Vangel MG, Pieper S, Peled S, Tempany CM, Aerts HJ, Kikinis R, Fennessy FM, Fedorov A. Repeatability of Multiparametric Prostate MRI Radiomics Features. arXiv [cs.CV] (2018). at http://arxiv.org/abs/1807.06089.

    • Peled, S., Vangel, M., Kikinis, R., Tempany, C. M., Fennessy, F. M. & Fedorov, A. Selection of Fitting Model and Arterial Input Function for Repeatability in Dynamic Contrast-Enhanced Prostate MRI. Acad. Radiol.
      (2018). DOI: 10.1016/j.acra.2018.10.018

    • Schwier, M., van Griethuysen, J., Vangel, M. G., Pieper, S., Peled, S., Tempany, C., Aerts, H. J. W. L., Kikinis, R., Fennessy, F. M. & Fedorov, A. Repeatability of Multiparametric Prostate MRI Radiomics Features. Sci. Rep. 9, 9441 (2019). DOI: 10.1038/s41598-019-45766-z

    Other Publications Using this Data

    TCIA maintains a list of publications which leverage our data.  If you have a publication you’d like to add please contact TCIA’s Helpdesk.

    Publication Citation

    Fedorov A, Vangel MG, Tempany CM, Fennessy FM. Multiparametric Magnetic Resonance Imaging of the Prostate: Repeatability of Volume and Apparent Diffusion Coefficient Quantification. Investigative Radiology. 52, 538–546 (2017). DOI: 10.1097/RLI.0000000000000382

    Publication Citation

    Fedorov, A., Schwier, M., Clunie, D., Herz, C., Pieper, S., Kikinis,R., Tempany, C. & Fennessy, F. An annotated test-retest collection of prostate multiparametric MRI. Scientific Data 5, 180281 (2018). DOI: 
    10.1038/sdata.2018.281

    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. (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

    Acknowledgement

    Please acknowledge the award that supported collection and sharing of these data sets: U01 CA151261, PI Fiona Fennessy.

    Previous Versions

    Version 2: Updated 2019/05/09

    Added DCE and DWI series

    Title Data Type Format Access Points Studies Series Images License
    Images DICOM
    Download requires NBIA Data Retriever

    Version 1: Updated 2018/02/28

    Title Data Type Format Access Points Studies Series Images License
    Images DICOM
    Download requires NBIA Data Retriever