No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
Quantifying cell migration distance as a contributing factor to the development of rectal toxicity after prostate radiotherapy
1. Basic Clinical Radiobiology, edited by M. Joiner and A. van der Kogel, 4th ed. (Hodder Arnold, London, Great Britain, 2009).
3. J. M. Michalski, H. Gay, A. Jackson, S. L. Tucker, and J. O. Deasy, “Radiation dose-volume effects in radiation-induced rectal injury,” Int. J. Radiat. Oncol., Biol., Phys. 76(Suppl. 3), S123–S129 (2010).
5. Y. Lu et al., “A method of analyzing rectal surface area irradiated and rectal complications in prostate conformal radiotherapy,” Int. J. Radiat. Oncol., Biol., Phys. 33(5), 1121–1125 (1995).
6. S. Li, A. Boyer, L. Yong, and G. T. Y. Chen, “Analysis of the dose-surface histogram and dose-wall histogram for the rectum and bladder,” Med. Phys. 24(7), 1107–1116 (1997).
7. G. J. Meijer, M. van den Brink, M. S. Hoogeman, J. Meinders, and J. V. Lebesque, “Dose-wall histograms and normalized dose-surface histograms for the rectum: A new method to analyze the dose distribution over the rectum in conformal radiotherapy,” Int. J. Radiat. Oncol., Biol., Phys. 45(4), 1073–1080 (1999).
8. C. Fiorino et al., “Rectum contouring variability in patients treated for prostate cancer: Impact on rectum dose-volume histograms and normal tissue complication probability,” Radiother. Oncol. 63, 249–255 (2002).
9. S. L. Tucker et al., “Comparison of rectal dose-wall histogram versus dose-volume histogram for modeling the incidence of late rectal bleeding after radiotherapy,” Int. J. Radiat. Oncol., Biol., Phys. 60(5), 1589–1601 (2004).
10. R. Munbodh et al., “Evaluation of doses on a 2D map of the rectal wall for patients treated with imrt for prostate cancer,” Int. J. Radiat. Oncol., Biol., Phys. 66(Suppl. 3), S76 (2006).
11. R. Munbodh, A. Jackson, J. Bauer, C. R. Schmidtlein, and M. J. Zelefsky, “Dosimetric and spatial indicators of late rectal toxicity after high-dose intensity modulated radiation therapy for prostate cancer,” Med. Phys. 35(5), 2137–2150 (2008).
12. R. Munbodh, A. Jackson, J. Bauer, C. R. Schmidtlein, and M. J. Zelefsky, “Spatial and anatomical indicators of rectal toxicity in IMRT of prostate cancer,” Int. J. Radiat. Oncol., Biol., Phys. 69(Suppl. 3), S10 (2007).
13. S. L. Tucker et al., “Cluster model analysis of late rectal bleeding after IMRT of prostate cancer: A case-control study,” Int. J. Radiat. Oncol., Biol., Phys. 64(4), 1255–1264 (2006).
15. E. D. Yorke and G. J. Kutcher, “Spatial correlation in a parallel architecture NTCP model,” Proceedings of the 36th AAPM annual meeting, Anaheim CA. Med. Phys. 21, 879 (1994).
16. S. M. Zhou et al., “A new three-dimensional dose distribution reduction scheme for tubular organs,” Med. Phys. 27, 1727–1731 (2000).
19. W. D. Heemsbergen, M. S. Hoogeman, G. A. M. Hart, J. V. Lebesque, and P. C. M. Koper, “Gastrointestinal toxicity and its relation to dose distributions in the anorectal region of prostate cancer patients treated with radiotherapy,” Int. J. Radiat. Oncol., Biol., Phys. 61(4), 1011–1018 (2005).
20. S. T. H. Peeters et al., “Volume and hormonal effects for acute side effects of rectum and bladder during conformal radiotherapy for prostate cancer,” Int. J. Radiat. Oncol., Biol., Phys. 63(4), 1142–1152 (2005).
21. E. N. J. T. van Lin et al., “Reduced late rectal mucosal changes after prostate three-dimensional conformal therapy with endorectal balloon as observed in repeated endoscopy,” Int. J. Radiat. Oncol., Biol., Phys. 67(3), 799–811 (2007).
22. F. Buettner, S. Gulliford, S. Webb, M. Sydes, D. Dearnaley, and M. Partridge, “Assessing correlations between the spatial distribution of the dose to the rectal wall and late rectal toxicity after prostate radiotherapy: An analysis of data from the MRC RT01 trial (ISRCTN 47772397),” Phys. Med. Biol. 54(21), 6535–6548 (2009).
23. F. Buettner, S. Gulliford, S. Webb, and M. Partridge, “Modeling late rectal toxicities based on a parametrized representation of the 3D dose distribution,” Phys. Med. Biol. 56(7), 2103–2118 (2011).
28. M. W. Skwarchuk and E. L. Travis, “Volume effects and epithelial regeneration in irradiated mouse colorectum,” Radiat. Res. 149, 1–10 (1998).
30. B. Powers, H. Thames, S. Gillette, C. Smith, E. Beck, and E. Gillette, “Volume effects in the irradiated canine spinal cord: Do they exist when the probability of rectal injury is low?” Radiother. Oncol. 46, 297–306 (1998).
31. H. P. Bijl, P. van Luijk, R. P. Coppes, J. M. Schippers, A. W. Konings, and A. J. van der Kogel, “Unexpected changes of rat cervical spine cord tolerance caused by inhomogeneous dose distributions,” Int. J. Radiat. Oncol., Biol., Phys. 57(1), 274–281 (2003).
Article metrics loading...
Spatial information is usually neglected in mathematical models of radiation-induced toxicity. In the presence of inhomogeneous dose distributions produced by intensity modulated radiation therapy (IMRT) and volumetric arc therapy, this may be a limitation. We present a model to quantify the spatial characteristics of the dose distribution on the rectum through the quantification of the distribution of distances between dose points on the surface of the rectum in three-dimensions. The method allows us to evaluate the hypothesis that distances between lower and higher dose regions on the rectum influence radiation damage repair due to the migration of normal cells into damaged areas, and consequently, the development of radiation-induced toxicity in patients treated with radiation for prostate cancer.
We present a method to compute distances between dose points on the surface of the rectum in three dimensions (3D) and to generate distance maps representing the distances between specific dose regions on the rectum. We introduce the concept of the distance dose surface histogram (DDSH), which is computed from the distance maps. The DDSH is a 2D histogram of rectum area on a grid defined by pairwise combinations of dose and distance. Each bin in the DDSH quantifies the area of the rectum exposed to a given dose and at a given distance from other another dose region on the rectum. By summing across the columns and rows of the DDSH, we can generate the dose surface histogram (DSH) and distance surface histogram (DiSH) for a particular dose region. The DiSH is a marginal histogram showing the distribution of distances for the dose points in a specific dose region from another region. We computed the DDSH, DiSH, and DSH for 33 patients treated with IMRT for prostate cancer, nine of whom developed late Grade 2 or higher late rectal toxicity.
We show how even though the total area of the rectum exposed to a given dose may be the same for different patients, the distribution of distances for points receiving that dose can be different depending on the shape and contiguity of the region(s) containing those dose points. We also show that area of the rectum in the region receiving more than 75 Gy and at a distance of 16 to 22 mm from the 50 Gy isodose line was significantly correlated to the development of toxicity (p = 0.004, two sided t-test). This suggests that examining the distance distribution of points in specific dose regions could provide valuable additional information in predicting the risk of a patient developing radiation-induced rectal toxicity.
We present a new method to quantify the spatial distribution of points in a given region relative to other regions on the rectum. The method provides a means to evaluate the hypothesis that distances between lower and higher dose regions on the rectum influence radiation damage repair due to the migration of normal cells into damaged areas, and may be a contributing factor to the development of radiation-induced toxicity in patients treated with radiation for prostate cancer.
Full text loading...
Most read this month