Summary
For this study, 18 lung cancer patients underwent exhale/inhale breath hold CT (BHCT), free-breathing four-dimensional CT (4DCT) and Galligas PET ventilation scans in a single session on a combined 4DPET/CT scanner. The purpose of the study was to enable comparisons between:(i) CT ventilation images derived from exhale/inhale BHCT scans(ii) CT ventilation images derived from free-breathing 4DCT scans, and
(iii) Galligas PET (nuclear medicine) ventilation scans. This dataset can build the international capacity for prototyping and evaluating new CT ventilation imaging technologies.
All image acquisitions were performed on a Siemens Biograph mCT.S/64 PET/CT scanner (Siemens, Knoxville, USA) at the Royal North Shore Hospital between 2013 and 2015. A total of 14 4DCT scans, 16 inhale/exhale BHCT scans and 18 Galligas PET scans were successfully acquired for the 18 patients and included in this dataset.
For the exhale/inhale BHCT scans, patients were instructed to hold their breath at approximately 80% of maximum inhalation and exhalation, with Audiovisual Biofeedback used to help guide the breath hold procedure. Settings for the BHCT image acquisitions were: 120 kVp, 120 mAs, 0.8 pitch with a breath-hold time of 10s. The field of view for the CT images was approximately 50 cm from the pharynx to the stomach. Meanwhile the 4DCT scans were acquired with the use of a respiratory motion sensor, the Anzai AZ-733V system (Anzai Medical Co., Tokyo, Japan) for retrospective sorting of CT slices into 10 respiratory phase bins; the exhale and inhale phase bins are provided with the present dataset. 4DCT scans were performed using a helical acquisition and tube settings 120 kVp, 80-200 mA, with 0.5s gantry rotation and 0.09 pitch. The Galligas PET scans (and corresponding attenuation correction CT) were acquired under free-breathing using a standard non-gated protocol. Galligas PET scans were acquired at 2 bed positions of 5 min each, with attenuation correction using a low dose CT (120 kVp; 0.8 pitch, 50 mAs).
This study was a prospective single institution clinical trial approved by the health district ethics committee, (HREC/12/169) and registered with the Australian New Zealand Clinical Trials Registry (ACTRN12612000775819).
Acknowledgements
- This work was supported by an NHMRC Australia Fellowship and a Cancer Institute NSW Early Career Fellowship. The authors thank the staff from the Royal North Shore Hospital’s Nuclear Medicine, Radiation Oncology and Respiratory Medicine Departments. Our thanks and gratitude go to the patients who volunteered their time to participate in this study.
Data Access
Note to curators! This macro is for collections that are restricted due to facial reconstruction possibility.
Note to curators! This macro is for collections that are restricted because of a PI's embargo request
Per the submitter's request, users must sign and submit a TCIA Restricted License Agreement to help@cancerimagingarchive.net before accessing certain data from this collection.
Note to curators! Only use the appropriate macro for your collection above, or the text below in the case of NCTN trials. It will need to be tailored with the correct NCT#.
This is a limited access data set. To request access please register an account on the NCTN Data Archive. After logging in, use the "Request Data" link in the left side menu. Follow the on screen instructions, and enter NCT00352534 when asked which trial you want to request. In step 2 of the Create Request form, be sure to select “Imaging Data Requested”. Please contact NCINCTNDataArchive@mail.nih.gov for any questions about access requests.
Data Type | Download all or Query/Filter | License |
---|---|---|
Images, Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB) << latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >> | (Download requires the NBIA Data Retriever) | |
Tissue Slide Images (SVS, XX.X GB) | ||
Clinical data (CSV) |
Click the Versions tab for more info about data releases.
Note to curators! Use this any time you are linking to NCI's IDC/GDC/PDC resources. The links below are examples and will need to be tailored to point to the specific dataset (see parameters in URLS).
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)
- Proteomic Data Commons (PDC) (Proteomic & Clinical Data)
- Genomic Data Commons (GDC) (Genomic & Clinical Data)
Note to curators! The link below is an example for NCTN trials and will need to be tailored to the proper URL for the corresponding data on the NCTN Data Archive.
Additional Resources for this Dataset
The National Cancer Institute (NCI) has created a centralized, controlled-access database, called the NCTN/NCORP Data Archive, for storing and sharing datasets generated from clinical trials of the National Clinical Trials Network (NCTN) and the NCI Community Oncology Research Program (NCORP). Clinical data from the participants in this trial can be found at:
- NCTN/NCORP Data Archive (Clinical Data)
Note to curators! Below are examples for what to do with other external resources/links that don't fit into the above categories.
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.
- Software / Code on Github
- Genomics data in DbGAP
- Genomics data in Gene Expression Omnibus
Detailed Description
Image Statistics | Radiology Image Statistics | Pathology Image Statistics |
---|---|---|
Modalities | ||
Number of Patients | ||
Number of Studies | ||
Number of Series | ||
Number of Images | ||
Images Size (GB) |
<< Add any additional information that didn't fit or belong in the Summary section. >>
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Data Citation
DOI goes here. Create using Datacite with information from Collection Approval form
Publication Citation
We ask on the proposal form if they have ONE traditional publication they'd like users to cite.
Acknowledgement
Required acknowledgements only (ex:The CPTAC program requests that publications using data from this program...). If they just want to thank someone, that goes in the Acknowledgement section underneath the Summary.
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. DOI: 10.1007/s10278-013-9622-7
Other Publications Using This Data
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.
Version X (Current): Updated yyyy/mm/dd
Data Type | Download all or Query/Filter | License |
---|---|---|
Images, Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB) << latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >> | (Download requires the NBIA Data Retriever) | |
Tissue Slide Images (SVS, XX.X GB) | ||
Clinical data (CSV) |
<< One or two sentences about what you changed since last version. No note required for version 1. >>