Literature DB >> 11173143

Correlations between dose-surface histograms and the incidence of long-term rectal bleeding following conformal or conventional radiotherapy treatment of prostate cancer.

J D Fenwick1, V S Khoo, A E Nahum, B Sanchez-Nieto, D P Dearnaley.   

Abstract

BACKGROUND AND
PURPOSE: In a randomized trial, the incidence of rectal bleeding among patients treated for prostate cancer using conformal radiotherapy was significantly lower (p = 0.002) than that among those treated conventionally. Here the relationship between rectal dose distributions and incidences of bleeding is assessed. METHODS AND MATERIALS: Rectal dose-surface histograms (DSHs) have been calculated for 79 trial patients. The relationship between the DSHs and incidences of Grade 1-3 bleeding has been explored using both semiempiric and biologic (parallel) model-based approaches.
RESULTS: Semiempiric analysis of the trial data suggests that it is more useful to work with DSH fractional surface areas multiplied by outlined rectal lengths than with either raw DSH fractional areas or fractional areas multiplied by absolute total outlined rectal surface area. Fitting the parallel model to length-multiplied rectal DSHs and complication data reveals the existence of a significant volume effect, the rate of Grade 1-3 bleeding falling by 1.1% (95% confidence interval [0.04, 2.2]%) for each 1% decrease in the fraction of rectal wall (outlined over an 11-cm length) receiving a dose of more than 57 Gy.
CONCLUSION: The existence of this volume effect suggests that dose escalation can be achieved using conformal techniques, although the extent to which doses may be safely escalated cannot be reliably estimated from the trial data.

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Year:  2001        PMID: 11173143     DOI: 10.1016/s0360-3016(00)01496-6

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  12 in total

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2.  Risk of second cancers according to radiation therapy technique and modality in prostate cancer survivors.

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Authors:  Alexandra J Stewart; Robert A Cormack; Hang Lee; Li Xiong; Jorgen L Hansen; Desmond A O'Farrell; Akila N Viswanathan
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4.  IMRT treatment planning for prostate cancer using prioritized prescription optimization and mean-tail-dose functions.

Authors:  V H Clark; Y Chen; J Wilkens; J R Alaly; K Zakaryan; J O Deasy
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5.  Practice guidance on the management of acute and chronic gastrointestinal problems arising as a result of treatment for cancer.

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6.  Distinct effects of rectum delineation methods in 3D-conformal vs. IMRT treatment planning of prostate cancer.

Authors:  Matthias Guckenberger; Jürgen Meyer; Kurt Baier; Dirk Vordermark; Michael Flentje
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7.  Phase III pilot study of dose escalation using conformal radiotherapy in prostate cancer: PSA control and side effects.

Authors:  D P Dearnaley; E Hall; D Lawrence; R A Huddart; R Eeles; C M Nutting; J Gadd; A Warrington; M Bidmead; A Horwich
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9.  Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations.

Authors:  Eric Karl Oermann; Alex Rubinsteyn; Dale Ding; Justin Mascitelli; Robert M Starke; Joshua B Bederson; Hideyuki Kano; L Dade Lunsford; Jason P Sheehan; Jeffrey Hammerbacher; Douglas Kondziolka
Journal:  Sci Rep       Date:  2016-02-09       Impact factor: 4.379

10.  Biological-effective versus conventional dose volume histograms correlated with late genitourinary and gastrointestinal toxicity after external beam radiotherapy for prostate cancer: a matched pair analysis.

Authors:  Ashesh B Jani; Christopher M Hand; Charles A Pelizzari; John C Roeske; Lani Krauz; Srinivasan Vijayakumar
Journal:  BMC Cancer       Date:  2003-05-13       Impact factor: 4.430

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