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A novel CBCT-based method for derivation of CTV-PTV margins for prostate and pelvic lymph nodes treated with stereotactic ablative radiotherapy

Overview of attention for article published in Radiation Oncology, August 2017
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Title
A novel CBCT-based method for derivation of CTV-PTV margins for prostate and pelvic lymph nodes treated with stereotactic ablative radiotherapy
Published in
Radiation Oncology, August 2017
DOI 10.1186/s13014-017-0859-z
Pubmed ID
Authors

Ciara A. Lyons, Raymond B. King, Sarah O.S. Osman, Stephen J. McMahon, Joe M. O’Sullivan, Alan R. Hounsell, Suneil Jain, Conor K. McGarry

Abstract

Traditional CTV-PTV margin recipes are not generally applicable in the situation of stereotactic ablative radiotherapy (SABR) treatments of multiple target volumes with a single isocentre. In this work, we present a novel geometric method of margin derivation based on CBCT-derived anatomical data. Twenty patients with high-risk localized prostate cancer were selected for retrospective review. Individual volumes of interest (prostate, prostate and seminal vesicles and pelvic lymph nodes) were delineated on five representative CBCTs and registered to the planning CT using two registration protocols: bone match or prostate-based soft tissue match. Margins were incrementally expanded around composite CTV structures until 95% overlap was achieved. CTV-PTV margins of 5.2, 6.5 and 7.6 mm were required for prostate, prostate and seminal vesicles and pelvic lymph nodes respectively using a prostate matching protocol. For the prostate and seminal vesicle structures, margins calculated using our method displayed good agreement with a conventional margin recipe (within ±1.0 mm). We have presented an alternative method of CTV-PTV margin derivation that is applicable to SABR treatments with more than one isocentric target. These results have informed an institutional trial of prostate and pelvic nodal SABR in men with high-risk localized prostate cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 19%
Researcher 6 14%
Student > Master 5 12%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 2 5%
Other 6 14%
Unknown 11 26%
Readers by discipline Count As %
Medicine and Dentistry 19 45%
Physics and Astronomy 3 7%
Engineering 2 5%
Computer Science 2 5%
Nursing and Health Professions 2 5%
Other 2 5%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 August 2017.
All research outputs
#20,441,465
of 22,996,001 outputs
Outputs from Radiation Oncology
#1,693
of 2,071 outputs
Outputs of similar age
#276,934
of 317,469 outputs
Outputs of similar age from Radiation Oncology
#31
of 38 outputs
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We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.