Objective
To investigate whether patient-reported quality of life after high-dose external beam
intensity-modulated radiotherapy for prostate cancer can be improved by decreasing
planning target volume margins while using real-time tumor tracking.
Methods
Study patients underwent radiotherapy with nominal 3-mm margins and electromagnetic
real-time tracking. Morbidity was assessed before and at the end of radiotherapy using
Expanded Prostate Cancer Index Composite (EPIC) questionnaires. Changes in scores
were compared between the Assessing Impact of Margin Reduction (AIM) study cohort
and the comparator Prostate Cancer Outcomes and Satisfaction with Treatment Quality
Assessment (PROST-QA) cohort, treated with conventional margins.
Results
The 64 patients in the prospective AIM study had generally less favorable clinical
characteristics than the 153 comparator patients. Study patients had similar or slightly
poorer pretreatment EPIC scores than comparator patients in bowel, urinary, and sexual
domains. AIM patients receiving radiotherapy had less bowel morbidity than the comparator
group as measured by changes in mean bowel and/or rectal domain EPIC scores from pretreatment
to 2 months after start of treatment (−1.5 vs −16.0, P = .001). Using a change in EPIC score >0.5 baseline standard deviation as the measure
of clinical relevance, AIM study patients experienced meaningful decline in only 1
health-related quality of life domain (urinary) whereas decline in 3 health-related
quality of life domains (urinary, sexual, and bowel/rectal) was observed in the PROST-QA
comparator cohort.
Conclusions
Prostate cancer patients treated with reduced margins and tumor tracking had less
radiotherapy-related morbidity than their counterparts treated with conventional margins.
Highly contoured intensity-modulated radiotherapy shows promise as a successful strategy
for reducing morbidity in prostate cancer treatment.
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Article info
Publication history
Published online: February 15, 2010
Accepted:
October 25,
2009
Received:
September 24,
2009
Footnotes
Supported by Calypso Medical Technologies, Inc. and NIHR01CA 95662.
P-Y Liu, and R.L. Dunn, are paid statistical consultants for Calypso Medical Technologies, Inc.
Identification
Copyright
© 2010 Elsevier Inc. Published by Elsevier Inc. All rights reserved.