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Journal article

Improving target delineation on 4-dimensional CT scans in stage I NSCLC using a deformable registration tool.

Abstract:
INTRODUCTION: Correct target definition is crucial in stereotactic radiotherapy for lung tumors. We evaluated use of deformable registration (DR) for target contouring on 4-dimensional (4D) CT scans. MATERIALS AND METHODS: Three clinicians contoured gross tumor volume (GTV) in an end-inspiration phase of 4DCT of 6 patients on two occasions. Two clinicians contoured GTVs in all phases of 4DCT and on maximum intensity projections (MIP). The initial GTV was auto-propagated to 9 other phases using a B-spline algorithm (VelocityAI). Internal target volumes (ITVs) generated were (i) ITV(10manual) encompassing all physician-contoured GTVs, (ii) ITV-MIP(optimized) from MIP after review of individual 4DCT phases, (iii) ITV(10deformed) encompassing auto-propagated GTVs using DR, and (iv) ITV(10deformed-optimized), from an ITV(10deformed) target that was modified to form a 'clinically optimal' ITV. Volume-overlaps were scored using Dice's Similarity Coefficients (DSCs). RESULTS: Intra-clinician GTV reproducibility was greater than inter-clinician reproducibility (mean DSC 0.93 vs. 0.88, p<0.0004). In five of 6 patients, ITV-MIP(optimized) differed from the ITV(10deformed-optimized). In all patients, the DSC between ITV(10deformed-optimized) and ITV(10deformed) was higher than that between ITV(10deformed-optimized) and ITV-MIP(optimized) (p<0.02 T-test). CONCLUSION: ITVs created in stage I tumors using DR were closer to 'clinically optimal' ITVs than was the case with a MIP-modified approach.
Publication status:
Published

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Publisher copy:
10.1016/j.radonc.2010.05.003

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Oncology
Role:
Author


Journal:
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology More from this journal
Volume:
96
Issue:
1
Pages:
67-72
Publication date:
2010-07-01
DOI:
EISSN:
1879-0887
ISSN:
0167-8140


Language:
English
Keywords:
Pubs id:
pubs:366093
UUID:
uuid:7897fd74-66ce-47ef-ad39-3c385fe733be
Local pid:
pubs:366093
Source identifiers:
366093
Deposit date:
2013-11-16

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