Journal article
Iterative Active Deformational Methodology for Tumor Delineation: Evaluation across Radiation Treatment Stage and Volume
Journal of magnetic resonance imaging, Vol.28(5), pp.1188-1194
11/2008
DOI: 10.1002/jmri.21500
PMCID: PMC2720022
PMID: 18972365
Abstract
Purpose
To introduce, implement, and assess an iterative modification to the active deformational image segmentation method as applied to cervical cancer tumors.
Materials and Methods
A comparison by Jaccard similarity (JS) between this active deformational method and manual segmentation was performed on tumors of various sizes across preradiation, 3 weeks postradiation, and 6 weeks postradiation using a General Linear Mixed Model across 121 studies from 52 patients with Stage IIB‐IV cervical cancers.
Results
The deformable segmentation method produced promising levels of agreement including JS factors of 0.71 ± 0.11 in the preradiation studies. The analysis illustrated a rate of improvement in JS with increasing tumor volume that differed between the preradiation and 6 weeks postradiation stage (P = 0.0474). In the large preradiated tumors each additional cm3 of volume was associated with an increase or improvement in JS of 0.0008 (95% confidence interval [CI]: 0.0003, 0.0014). In the smaller postradiation tumors, each additional cm3 of volume was associated with a more robust improvement in JS of 0.0046 (95% CI: 0.0009, 0.0082).
Conclusion
Agreement was strongly affected by tumor volume, and its performance was most impacted across volume in the later stages of radiation therapy. The deformation‐based segmentation method appears to demonstrate utility for delineating cervical cancer tumors, particularly in the earliest stages of radiation treatment, where agreement is greatest.
Details
- Title: Subtitle
- Iterative Active Deformational Methodology for Tumor Delineation: Evaluation across Radiation Treatment Stage and Volume
- Creators
- D. H Wu - Radiological Sciences, Oklahoma University Health Science Center, Oklahoma City, OklahomaA. D Shaffer - Radiological Sciences, Oklahoma University Health Science Center, Oklahoma City, OklahomaD. M Thompson - Biostatistics and Epidemiology, Oklahoma University Health Science Center, Oklahoma City, OklahomaZ Yang - Radiological Sciences, Oklahoma University Health Science Center, Oklahoma City, OklahomaV. A Magnotta - Radiology, University of Iowa Medical Center, Iowa City, IowaR Alam - Computer Science, University of Oklahoma, Norman, OklahomaJ Suri - Eigen Medical Systems, Grass Valley California and the Biomedical Research Institute, Idaho State, University, Pocatello, IdahoW. T. C Yuh - Radiology, Ohio State University, Columbus, OhioN. A Mayr - Radiation Oncology, Ohio State University, Columbus, Ohio
- Resource Type
- Journal article
- Publication Details
- Journal of magnetic resonance imaging, Vol.28(5), pp.1188-1194
- DOI
- 10.1002/jmri.21500
- PMID
- 18972365
- PMCID
- PMC2720022
- ISSN
- 1053-1807
- eISSN
- 1522-2586
- Language
- English
- Date published
- 11/2008
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Psychiatry; Iowa Neuroscience Institute
- Record Identifier
- 9984051583902771
Metrics
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