Cervix Cancer Spatial Modelling for Brachytherapy Applicator Analysis
Abstract
Standard applicators for cervix cancer brachytherapy (BT) do not always enable a sufficient radiation dose coverage of the target structure (HR-CTV). The aim of this study was to develop methodology for building models of the BT target from a cohort of cervix cancer patients, which would enable BT applicator testing. In this paper we propose two model types, a spatial distribution model and a principal component model. Each of them can be built from data of several patients that includes medical images of arbitrary resolution and modality supplemented with delineations of HR-CTV structure, reconstructed applicator structure and eventual organs at risk (OAR) structures. The spatial distribution model is a static model providing probability distribution of the target in the applicator coordinate system, and as such provides information of the target region that applicators must be able to cover. The principal component model provides information of the target spatial variability described by only a few parameters. It can be used to predict specific extreme situations in the scope of sufficient applicator radiation dose coverage in the target structure as well as radiation dose avoidance in OARs. The results are generated 3D images that can be imported into existent BT planning systems for further BT applicator analysis and eventual improvements.References
R. Potter, “Image-guided brachytherapy sets benchmarks in advanced radiotherapy.” Radiother Oncol,
vol. 91, no. 2, pp. 141–146, May 2009.
A. H. Sadozye and N. Reed, “A review of recent
developments in image-guided radiation therapy in
cervix cancer.” Curr Oncol Rep, vol. 14, no. 6, pp.
–526, Dec 2012.
M. B. Opell, J. Zeng, J. J. Bauer, R. R. Connelly,
W. Zhang, I. A. Sesterhenn, S. K. Mun, J. W.
Moul, and J. H. Lynch, “Investigating the distribution
of prostate cancer using three-dimensional computer
simulation.” Prostate Cancer Prostatic Dis, vol. 5,
no. 3, pp. 204–208, 2002.
Y. Ou, D. Shen, J. Zeng, L. Sun, J. Moul, and C. Davatzikos, “Sampling the spatial patterns of cancer:
optimized biopsy procedures for estimating prostate
cancer volume and gleason score.” Med Image Anal,
vol. 13, no. 4, pp. 609–620, Aug 2009.
R. Xu and Y.-W. Chen, “Appearance models for medical
volumes with few samples by generalized 3dpca,”
in Neural Information Processing, ser. Lecture
Notes in Computer Science, M. Ishikawa, K. Doya,
H. Miyamoto, and T. Yamakawa, Eds. Springer
Berlin Heidelberg, 2008, vol. 4984, pp. 821–830.
R. C. Conceicao, M. O’Halloran, E. Jones, and G. M.,
“Investigation of classifiers for early-stage breast cancer
based on radar target signatures,” Progress In
Electromagnetics Research, vol. 105, pp. 295–311,
K. M. Pohl, S. K. Warfield, R. Kikinis, W. L. Grimson,
and W. M. Wells, “Coupling statistical segmentation
and pca shape modeling,” in Medical Image
Computing and Computer-Assisted Intervention
MICCAI 2004, ser. Lecture Notes in Computer Science,
C. Barillot, D. Haynor, and P. Hellier, Eds.
Springer Berlin Heidelberg, 2004, vol. 3216, pp. 151–
“GDCM library home page (version 1.x).” [Online].
Available: http://www.creatis.insa-lyon.fr/software/
public/Gdcm/
D. Berger, J. Dimopoulos, R. Potter, and C. Kirisits,
“Direct reconstruction of the vienna applicator on mr
images.” Radiother Oncol, vol. 93, no. 2, pp. 347–
, Nov 2009.
S. Haack, S. K. Nielsen, J. C. Lindegaard, J. Gelineck,
and K. Tanderup, “Applicator reconstruction in mri
d image-based dose planning of brachytherapy for
cervical cancer.” Radiother Oncol, vol. 91, no. 2, pp.
–193, May 2009.
M. E. Wall, A. Rechtsteiner, and L. M. Rocha, “Singular
Value Decomposition and Principal Component
Analysis,” ArXiv Physics e-prints, Aug. 2002.
P. Petric, R. Hudej, P. Rogelj, J. Lindegaard,
K. Tanderup, C. Kirisits, D. Berger, J. C. A. Dimopoulos,
and R. Potter, “Frequency-distribution mapping of hr ctv in cervix cancer : possibilities and limitations of existent and prototype applicators.” Radiother. oncol., vol. 96, suppl. 1, p. S70, 2010.
K. Diaz, B. Castaneda, M. L. Montero, J. Yao,
J. Joseph, D. Rubens, and K. J. Parker, “Analysis
of the spatial distribution of prostate cancer obtained
from histopathological images,” in Proc. SPIE 8676,
Medical Imaging 2013: Digital Pathology, 86760V,
March 2013.
J. Swamidas, U. Mahantshetty, D. Deshpande, and
S. Shrivastava, “Inter-fraction variation of high dose
regions of oars in mr image based cervix brachytherapy
using rigid registration,” Medical Physics,
vol. 39, no. 6, p. 3802, JUN 2012.
V. Zipunnikov, B. Caffo, D. M. Yousem, C. Davatzikos,
B. S. Schwartz, and C. Crainiceanu, “Multilevel
functional principal component analysis for
high-dimensional data,” Journal of Computational
and Graphical Statistics, vol. 20, no. 4, pp. 852–873,
R. Kim, A. F. Dragovic, and S. Shen, “Spatial distribution of hot spots for organs at risk with respect to
the applicator: 3-d image-guided treatment planning
of brachytherapy for cervical cancer,” International
Journal of Radiation Oncology, Biology, Physics,
vol. 81, no. 2, S, p. S466, 2011.
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