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.
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Interoperator variability of manually contoured tumors is high.
“It is well recognized that interoperator variability of manually contoured tumors is high (38,39).”
From Radiomics: Images Are More than Pictures, They Are Data (2016) · cites this paper as [39]
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Radiomics: Images Are More than Pictures, They Are Data
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- Authors
- van Dam, I. E., van Sörnsen de Koste, J. R., Hanna, G. G., Muirhead, R., Slotman, B. J., & Senan, S.
- Affiliations
- Queen's University Belfast (GB)
- Beatson West of Scotland Cancer Centre (GB)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Venue
- Radiotherapy and Oncology
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 96
- Issue
- 1
- Pages
- 67-72
- ISSN
- 0167-8140 (ISSN-L)
- OpenAlex
- W2130535356
- Cited by
- 69
- References
- 29
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 4 · 2022: 9 · 2020: 4 · 2019: 7 · 2018: 3 · 2017: 7 · 2016: 5 · 2015: 5 · 2014: 1 · 2013: 8 · 2012: 2
- FWCI
- 6.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiotherapy and Oncology (publishedVersion)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Research Portal (Queen's University Belfast) (submittedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
- Keywords
- deformable image registration, 4D-CT, non-small cell lung cancer, stage I lung cancer, gross tumor volume, internal target volume, target volume delineation, stereotactic body radiotherapy, B-spline registration, maximum intensity projection
- MeSH terms
- Carcinoma, Non-Small-Cell Lung, Female, Humans, Lung Neoplasms, Male, Neoplasm Staging, Radiotherapy Planning, Computer-Assisted, Sampling Studies, Observer Variation, Radiosurgery, Four-Dimensional Computed Tomography
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