Literature DB >> 24267967

The effect of contouring variability on dosimetric parameters for brain metastases treated with stereotactic radiosurgery.

Julia Stanley1, Peter Dunscombe, Harold Lau, Paul Burns, Gerald Lim, Hong-Wei Liu, Robert Nordal, Yves Starreveld, Boris Valev, Jon-Paul Voroney, David P Spencer.   

Abstract

PURPOSE: To quantify the effect of contouring variation on stereotactic radiosurgery plan quality metrics for brain metastases. METHODS AND MATERIALS: Fourteen metastases, each contoured by 8 physicians, formed the basis of this study. A template-based dynamic conformal 5-arc dose distribution was developed for each of the 112 contours, and each dose distribution was applied to the 7 other contours in each patient set. Radiation Therapy Oncology Group (RTOG) plan quality metrics and the Paddick conformity index were calculated for each of the 896 combinations of dose distributions and contours.
RESULTS: The ratio of largest to smallest contour volume for each metastasis varied from 1.25 to 4.47, with a median value of 1.68 (n=8). The median absolute difference in RTOG conformity index between the value for the reference contour and the values for the alternative contours was 0.35. The variation of the range of conformity index for all contours for a given tumor varied with the tumor size.
CONCLUSIONS: The high degree of interobserver contouring variation strongly suggests that peer review or consultation should be adopted to standardize tumor volume prescription. Observer confidence was not reflected in contouring consistency. The impact of contouring variability on plan quality metrics, used as criteria for clinical trial protocol compliance, was such that the category of compliance was robust to interobserver effects only 70% of the time.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24267967     DOI: 10.1016/j.ijrobp.2013.09.013

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


  7 in total

1.  Dependence of volume calculation and margin growth accuracy on treatment planning systems for stereotactic radiosurgery.

Authors:  David J Eaton; Kevin Alty
Journal:  Br J Radiol       Date:  2017-10-12       Impact factor: 3.039

2.  Distortion inherent to magnetic resonance imaging can lead to geometric miss in radiosurgery planning.

Authors:  Tyler M Seibert; Nathan S White; Gwe-Ya Kim; Vitali Moiseenko; Carrie R McDonald; Nikdokht Farid; Hauke Bartsch; Joshua Kuperman; Roshan Karunamuni; Deborah Marshall; Dominic Holland; Parag Sanghvi; Daniel R Simpson; Arno J Mundt; Anders M Dale; Jona A Hattangadi-Gluth
Journal:  Pract Radiat Oncol       Date:  2016-06-01

3.  Variability in spine radiosurgery treatment planning - results of an international multi-institutional study.

Authors:  André Toussaint; Anne Richter; Frederick Mantel; John C Flickinger; Inga Siiner Grills; Neelam Tyagi; Arjun Sahgal; Daniel Letourneau; Jason P Sheehan; David J Schlesinger; Peter Carlos Gerszten; Matthias Guckenberger
Journal:  Radiat Oncol       Date:  2016-04-18       Impact factor: 3.481

Review 4.  "Après Mois, Le Déluge": Preparing for the Coming Data Flood in the MRI-Guided Radiotherapy Era.

Authors:  Kendall J Kiser; Benjamin D Smith; Jihong Wang; Clifton D Fuller
Journal:  Front Oncol       Date:  2019-09-30       Impact factor: 6.244

5.  Radiotherapy Target Volume Definition in Newly Diagnosed High-Grade Glioma Using 18F-FET PET Imaging and Multiparametric MRI: An Inter Observer Agreement Study.

Authors:  Brieg Dissaux; Doria Mazouz Fatmi; Julien Ognard; Bastien Allard; Nathalie Keromnes; Amina Latreche; Amandine Lepeuve; Ulrike Schick; Vincent Bourbonne; Douraied Ben Salem; Gurvan Dissaux; Solène Querellou
Journal:  Tomography       Date:  2022-08-16

6.  Improving Delineation of True Tumor Volume With Multimodal MRI in a Rat Model of Brain Metastasis.

Authors:  James R Larkin; Manon A Simard; Axel de Bernardi; Vanessa A Johanssen; Francisco Perez-Balderas; Nicola R Sibson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-01-17       Impact factor: 7.038

7.  Coverage with dosimetric concordance index (CDCI): a tool for evaluating dosimetric impact of inter-observer target variability in brachytherapy.

Authors:  Ritu Raj Upreti; Ashwini Budrukkar; Udita Upreti; Tabassum Wadasadawala; Rima Pathak; Shagun Misra; Lavanya Gurrum; Rajesh A Kinhikar; Deepak D Deshpande
Journal:  J Contemp Brachytherapy       Date:  2020-04-08
  7 in total

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