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QIN-SARCOMA

The Cancer Imaging Archive

QIN-SARCOMA | QIN-SARCOMA

DOI: 10.7937/K9/TCIA.2016.fXL9sESs | Data Citation Required | Image Collection

Location Species Subjects Data Types Cancer Types Size Status Updated
Breast, Calf, Chest, Elbow, Knee, Leg, Shoulder, and Thigh Human 15 MR Sarcomas 10.29GB Limited, Complete 2014/09/04

Summary

This collection of soft-tissue sarcoma dynamic contrast-enhanced (DCE) MRI data contains images from a longitudinal study to assess soft-tissue sarcoma response to preoperative chemoradiation treatment. Images were acquired at three time points: prior to the start of treatment (Visit 1, V1), after the first cycle of chemotherapy (Visit 2, V2), and after ~ 8 more weeks of chemoradiation (prior to surgery) (Visit 3, V3).  Not every patient was able to complete all three MRI studies. The value of this collection is to provide clinical imaging data for the development and validation of quantitative imaging methods for assessment of soft-tissue sarcoma response to preoperative treatment.  Initial findings of this study have been published and the data is provided by Oregon Health & Science University, PI Dr. Wei Huang.

The MRI data consist of DCE-MRI images only, which were acquired using a Siemens 3T TIM Trio system with the body coil as the transmitter and a body matrix phased array (combined with a spine matrix phased array) coil as the receiver. Following scout and axial T2-weighted MRI, a RF-spoiled gradient-echo sequence was used to acquire sagittal DCE-MRI images covering the entire tumor, with 100 flip angle, TE/TR = 1.5/6.0 ms, 24-26 cm field of view (FOV), and 5 mm slice thickness with 1 mm gap. A parallel imaging acceleration factor of 2 was used for DCE-MRI, resulting in 7-16 s temporal resolutions depending on tumor size. The total DCE acquisition time was approximately 10 min with gadolinium contrast agent (Prohance®) IV injection (0.1 mmol/kg at 2 mL/s) carried out following acquisition of five baseline image volumes,  followed by a 20-mL saline flush.       

Data Access

Once you have a TCIA account, please email to help@cancerimagingarchive.net to request access to these data.

Version 1: Updated

Title Data Type Format Access Points Subjects Studies Series Images License
Images MR DICOM
Download requires NBIA Data Retriever
15 38 2,168 46,614 TCIA Limited (contact Support)

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

Huang, W., Ryan, C., Beckett, B., Tudorica, A., Mansoor, A., Afzal, A., Holtorf, M., & Aston, T. (2016). QIN-SARCOMA [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.fXL9sESs

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

Meyer, J. M., Perlewitz, K. S., Hayden, J. B., Doung, Y.-C., Hung, A. Y., Vetto, J. T., Pommier, R. F., Mansoor, A., Beckett, B. R., Tudorica, A., Mori, M., Holtorf, M. L., Afzal, A., Woodward, W. J., Rodler, E. T., Jones, R. L., Huang, W., & Ryan, C. W. (2013). Phase I Trial of Preoperative Chemoradiation plus Sorafenib for High-Risk Extremity Soft Tissue Sarcomas with Dynamic Contrast-Enhanced MRI Correlates. In Clinical Cancer Research (Vol. 19, Issue 24, pp. 6902–6911). American Association for Cancer Research (AACR). https://doi.org/10.1158/1078-0432.ccr-13-1594 PMCID: PMC3869565

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 be sure to acknowledge the award that supported collection and sharing of these data (U01 CA154602, PI: Wei Huang) if you use the data set.