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QIBA-VolCT-1B | QIBA VolCT Group 1B Round 2 No Change Size Measurements

DOI: 10.7937/tcia.2020.1c3h-vp70 | Data Citation Required | Analysis Result

Cancer Types Location Subjects Related Collections Size Supporting Data Updated
Lung Lung 40 367.2MB Tumor segmentations, image features 2023/05/24


PURPOSE: To determine the variability of lesion size measurements in computed tomography data sets of patients imaged under a “no change” (“coffee break”) condition and to determine the impact of two reading paradigms on measurement variability.

METHOD AND MATERIALS: Using data sets from 32 RIDER Lung CT patients and 8 RIDER Pilot patients scanned twice within 15 minutes (“no change”), measurements were performed by five radiologists in two phases: (1) independent reading of each computed tomography dataset (timepoint): (2) a locked, sequential reading of datasets. Readers performed measurements using several sizing methods, including one-dimensional (1D) longest in-slice dimension and 3D semi-automated segmented volume. Change in size was estimated by comparing measurements performed on both timepoints for the same lesion, for each reader and each measurement method. For each reading paradigm, results were pooled across lesions, across readers, and across both readers and lesions, for each measurement method.

For additional information please see and the Release Notes from which the following may be specially useful: “Results are described in DICOM SR files, which in turn reference DICOM segmentation files that encode the region as a 3D raster, and presentation states that record the zoom, pan and window levels at the time of measurement” and “Readers are identified by number (from 1 through 5) … and their actual identity recorded in the SR tree in observer context and worklist descriptions has been removed.”

Data Access

Version 1: Updated 2023/05/24

Title Data Type Format Access Points Subjects Studies Series Images License
Segmentations and Reports SEG, SR, PR DICOM
Download requires NBIA Data Retriever
40 323 1,508 1,508 CC BY 4.0

Collections Used In This Analysis Result

Title Data Type Format Access Points Subjects Studies Series Images License
Original corresponding images from RIDER Pilot CT, DX, CR DICOM 8 54 194 20,531 CC BY 4.0
Original corresponding images from RIDER Lung CT SEG, RTSTRUCT, CT DICOM 32 46 271 15,627 CC BY 3.0

Additional Resources For This Dataset

The following external resources have been made available by the data submitters.  These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.

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

McNitt-Gray, M., Kim, H., Zhao, B., Schwartz, L. H., Clunie, D., Cohen, K., PETRICK, N., Fenimore, C., Lu, Z. Q. J., & Buckler, A. (2020). QIBA VolCT Group 1B Round 2 No Change Size Measurements (QIBA-VolCT-1B) [Data set]. The Cancer Imaging Archive. DOI:


  • CoreLab Partners, Inc conducted the reader study component of this investigation. They provided the reading facility, review workstations, software, and logistical support. CoreLab Partners radiologists also participated as readers. Therefore, we acknowledge CoreLab Partners for their support and specifically acknowledge CoreLab Partners radiologists Kevin Byrne, Steven Kaplan, Julie Barudin, Joyce Sherman, Kathy Slazak, George Edeburn, and J. Michael O’Neal for participating as readers in this study.
  • We acknowledge financial support from the RSNA Quantitative Imaging Biomarker Alliance (QIBA) provided by National Institute of Biomedical Imaging and Bioengineering American Recovery and Reinvestment Act of 2009 funds.

Publications Using This Data

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Publication Citation

McNitt-Gray M. F., Hyun Kim G., Zhao B., Schwartz L.H., Clunie D., Cohen K., Petrick N., Fenimore C., Lu Z.Q.J., Buckler A.J. (2015) Determining the Variability of Lesion Size Measurements from CT Patient Data Sets Acquired under “No Change” Conditions. Translational Oncology 8(1):55-64.

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.

Collections Used In This Analysis Result

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