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  • CT Ventilation as a Functional Imaging Modality for Lung Cancer Radiotherapy (CT-vs-PET-Ventilation-Imaging)

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Summary

Figure 1. Example of images in the collection. (a) 10-phase 4DCT scans, (b) overlay of PET and attenuation CT scans, (c) overlay of inhale and exhale BHCT scans.

For this study, 20 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 20 4DCT scans, 20 inhale/exhale BHCT scans, 20 Galligas PET scans and 19 attenuation CT scans (missing for CT-PET-VI-07) were successfully acquired for the 20 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). 

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

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Images (DICOM, 14.9 GB)


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Detailed Description

Image Statistics

Radiology Image Statistics

Modalities

CT,PT,RWV

Number of Patients

20

Number of Studies

22

Number of Series

119

Number of Images

29491

Images Size (GB)14.9



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

Enid M. Eslick, John Kipritidis, Denis Gradinscak, Mark J. Stevens, Dale L. Bailey, Benjamin Harris, Jeremy T. Booth, Paul J. Keall. CT ventilation imaging derived from breath hold CT exhibits good regional accuracy with Galligas PET. Radiotherapy and Oncology 2018; 127:267-273

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

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Version 1 (Current): Updated 2022/08/dd

Data TypeDownload all or Query/FilterLicense

Images (DICOM, 14.9 GB)


    (Download requires the NBIA Data Retriever)



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