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Int J Radiat Oncol Biol Phys. 2009 Apr 1;73(5):1493-500. doi: 10.1016/j.ijrobp.2008.07.001. Epub 2008 Sep 17.

Automatic segmentation of whole breast using atlas approach and deformable image registration.

Author information

1
Department of Radiation Oncology, University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.

Abstract

PURPOSE:

To compare interobserver variations in delineating the whole breast for treatment planning using two contouring methods.

METHODS AND MATERIALS:

Autosegmented contours were generated by a deformable image registration-based breast segmentation method (DEF-SEG) by mapping the whole breast clinical target volume (CTVwb) from a template case to a new patient case. Eight breast radiation oncologists modified the autosegmented contours as necessary to achieve a clinically appropriate CTVwb and then recontoured the same case from scratch for comparison. The times to complete each approach, as well as the interobserver variations, were analyzed. The template case was also mapped to 10 breast cancer patients with a body mass index of 19.1-35.9 kg/m(2). The three-dimensional surface-to-surface distances and volume overlapping analyses were computed to quantify contour variations.

RESULTS:

The median time to edit the DEF-SEG-generated CTVwb was 12.9 min (range, 3.4-35.9) compared with 18.6 min (range, 8.9-45.2) to contour the CTVwb from scratch (30% faster, p = 0.028). The mean surface-to-surface distance was noticeably reduced from 1.6 mm among the contours generated from scratch to 1.0 mm using the DEF-SEG method (p = 0.047). The deformed contours in 10 patients achieved 94% volume overlap before correction and required editing of 5% (range, 1-10%) of the contoured volume.

CONCLUSION:

Significant interobserver variations suggested a lack of consensus regarding the CTVwb, even among breast cancer specialists. Using the DEF-SEG method produced more consistent results and required less time. The DEF-SEG method can be successfully applied to patients with different body mass indexes.

PMID:
18804333
PMCID:
PMC2729433
DOI:
10.1016/j.ijrobp.2008.07.001
[Indexed for MEDLINE]
Free PMC Article

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