- Created by Sean Berryman on Jul 26, 2018
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Summary
A total of 2986 subjects, with breast sizes and radiographic densities representative of a screening population and compressed thicknesses from 3.5 to 6 cm, were simulated and imaged on in-silico versions of DM and DBT systems using fast Monte Carlo x-ray transport. Images were interpreted by a computational reader detecting the presence of lesions. The in-silico trial (VICTRE) was designed to replicate a comparative trial from a previous regulatory submission. The endpoint was the difference in area under the receiver-operating-characteristic curve between modalities (delta-AUC) for lesion detection. Using a fully-crossed design, VICTRE was sized for a standard error (SE) of 0.01 in delta-AUC, half the uncertainty seen in the comparative trial.
Expensive and lengthy clinical trials delay regulatory evaluation of innovative medical technologies affecting patient access to high-quality medical products. Sophisticated simulation tools are increasingly being used in device development, but are rarely used in regulatory applications. We investigate a new paradigm for evaluating digital breast tomosynthesis (DBT) as a replacement for digital mammography (DM), using exclusively in-silico methods.
Researchers studying radiomics will be able to evaluate features for robustness across a variety of scanners. Features can be calculated using the researchers own software or third party software such as IBEX (imaging biomarker explorer).Related publications: http://journals.lww.com/investigativeradiology/Abstract/2015/11000/Measuring_Computed_Tomography_Scanner_Variability.3.aspx
The following paper was generated on different imaging modalities but the same phantom, this is a related but independent paper with a different set of authors: http://tinyurl.com/zm7tr7p
This data set was provided to TCIA by Authors: Mackin, Dennis; Fave, Xenia; Zhang, Lifei; Fried, David; Yang, Jinzhong; Taylor, Brian; Rodriguez-Rivera, Edgardo; Dodge, Cristina; Jones, Aaron Kyle; and Court, Laurence.
Data Access
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Click the Versions tab for more info about data releases.
Detailed Description
Collection Statistics | Updated 2017/05/01 |
---|---|
Modalities | CT, RTSRUCT |
Number of Patients | 17 |
Number of Studies | 17 |
Number of Series | 51 |
Number of Images | 2672 |
Image Size (GB) | 1.33 |
Supporting Documentation and Metadata
Acquisition parameters for the phantom scans in this Collection:
Scan | Manufacturer | Model | Kernel | Type | Slice Thickness (mm) | Pixel (mm) | Spiral Pitch Factor | kVp | Effective mAs | CTDIvol (mGy) |
CCR1-GE1 | GE | Discovery CT750 HD | standard | helical | 2.5 | 0.49 | 0.98 | 120 | 81 | 6.19 |
CCR1-GE2 | GE | Discovery CT750 HD | standard | axial | 2.5 | 0.70 | 1.00 | 120 | 300 |
|
CCR1-GE3 | GE | Discovery CT750 HD | standard | helical | 2.5 | 0.78 | 0.98 | 120 | 122 | 9.3 |
CCR1-GE4 | GE | Discovery ST | standard | helical | 2.5 | 0.98 | 1.35 | 120 | 143 | 16.3 |
CCR1-GE5 | GE | LightSpeed RT | standard | helical | 2.5 | 0.98 | 0.75 | 120 | 1102 | 53.6 |
CCR1-GE6 | GE | LightSpeed RT16 | standard | helical | 2.5 | 0.98 | 0.94 | 120 | 367 | 18.8 |
CCR1-GE7 | GE | LightSpeed VCT | standard | helical | 2.5 | 0.74 | 0.98 | 120 | 82 |
|
CCR1-P1 | Philips | Brilliance Big Bore | B | helical | 3.0 | 0.98 | 0.94 | 120 | 320 | 17.8 |
CCR1-P2 | Philips | Brilliance Big Bore | C | helical | 3.0 | 0.98 | 0.94 | 120 | 369 | 15.8 |
CCR1-P3 | Philips | Brilliance Big Bore | B | helical | 3.0 | 1.04 | 0.81 | 120 | 320 | 19.9 |
CCR1-P4 | Philips | Brilliance Big Bore | B | helical | 3.0 | 1.04 | 0.81 | 120 | 369 | 19.9 |
CCR1-P5 | Philips | Brilliance 64 | B | helical | 3.0 | 0.98 | 0.67 | 120 | 372 | 16.4 |
CCR1-S1 | Siemens | Sensation Open | B31s | axial | 3.0 | 0.54 | 1.00 | 120 | 26 - 70 | 1.5 |
CCR1-S2 | Siemens | SOMATOM Definition Flash | ['I70f', '2'] | helical | 2.0 | 0.52 | 0.60 | 120 | 17 - 28 |
|
CCR1-T1 | Toshiba | Aquilion | FC18 | helical | 3.0 | 0.63 | 1.11 | 120 | 135 | 4.0 |
CCR1-T2 | Toshiba | Aquilion | FC18 | helical | 3.0 | 0.63 | 1.11 | 120 | 135 | 3.8 |
CCR1-T3 | Toshiba | Aquilion ONE | FC18 | helical | 3.0 | 0.98 | 0.99 | 120 | 151 | 13.5 |
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:
Data Citation
Mackin, Dennis; Fave, Xenia; Zhang, Lifei; Fried, David; Yang, Jinzhong; Taylor, Brian; Rodriguez-Rivera, Edgardo; Dodge, Cristina; Jones, Aaron Kyle; and Court, Laurence. (2017). Data From Credence Cartridge Radiomics Phantom CT Scans. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2017.zuzrml5b
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. 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 which leverage our data.If you have a publication you'd like to add please contact the TCIA Helpdesk.
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