Literature DB >> 20554168

Geometrical analysis of radiotherapy target volume delineation: a systematic review of reported comparison methods.

G G Hanna1, A R Hounsell, J M O'Sullivan.   

Abstract

Radiotherapy target volume definition is a critical step in the radiotherapy treatment planning process for all tumour sites. New technology may improve the identification of tumour from normal tissue for the purposes of target volume definition. In assessing the proffered benefits of new technologies, rigorous methods of comparison are necessary. A review of published studies was conducted using PubMed (National Library of Medicine) between 1 January 1995 and 1 January 2009 using predefined search terms. The frequency of usage of the various methods of geometrical comparison (simple volume assessment, centre of mass analysis, concordance index and volume edge analysis) was recorded. Sixty-three studies were identified, across a range of primary tumour sites. The most common method of target volume analysis was simple volume measurement; this was described in 84% of the papers analysed. The concordance index type analysis was described in 30%, the centre of mass analysis in 9.5% and the volume edge analysis in 4.8%. In reporting geometrical differences between target volumes no standard exists. However, to optimally describe geometrical changes in target volumes, simple volume change and a measure of positional change should be assessed. Copyright (c) 2010 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20554168     DOI: 10.1016/j.clon.2010.05.006

Source DB:  PubMed          Journal:  Clin Oncol (R Coll Radiol)        ISSN: 0936-6555            Impact factor:   4.126


  40 in total

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Authors:  Molly K Barnhart; Bena Cartmill; Elizabeth C Ward; Elizabeth Brown; Jonathon Sim; George Saade; Sandra Rayner; Rachelle A Robinson; Virginia A Simms; Robert I Smee
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Review 2.  Improving radiotherapy quality assurance in clinical trials: assessment of target volume delineation of the pre-accrual benchmark case.

Authors:  S Gwynne; E Spezi; D Sebag-Montefiore; S Mukherjee; E Miles; J Conibear; J Staffurth
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

3.  Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary 'VoxTox' research programme.

Authors:  Neil G Burnet; Jessica E Scaife; Marina Romanchikova; Simon J Thomas; Amy M Bates; Emma Wong; David J Noble; Leila Ea Shelley; Simon J Bond; Julia R Forman; Andrew Cf Hoole; Gillian C Barnett; Frederic M Brochu; Michael Pd Simmons; Raj Jena; Karl Harrison; Ping Lin Yeap; Amelia Drew; Emma Silvester; Patrick Elwood; Hannah Pullen; Andrew Sultana; Shannon Yk Seah; Megan Z Wilson; Simon G Russell; Richard J Benson; Yvonne L Rimmer; Sarah J Jefferies; Nicolette Taku; Mark Gurnell; Andrew S Powlson; Carola-Bibiane Schönlieb; Xiaohao Cai; Michael Pf Sutcliffe; Michael A Parker
Journal:  CERN Ideasq J Exp Innov       Date:  2017-06

4.  The utility of atlas-assisted segmentation in the male pelvis is dependent on the interobserver agreement of the structures segmented.

Authors:  K A Langmack; C Perry; C Sinstead; J Mills; D Saunders
Journal:  Br J Radiol       Date:  2014-08-29       Impact factor: 3.039

5.  High FDG uptake areas on pre-radiotherapy PET/CT identify preferential sites of local relapse after chemoradiotherapy for locally advanced oesophageal cancer.

Authors:  Jérémie Calais; Bernard Dubray; Lamyaa Nkhali; Sebastien Thureau; Charles Lemarignier; Romain Modzelewski; Isabelle Gardin; Frederic Di Fiore; Pierre Michel; Pierre Vera
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-02-14       Impact factor: 9.236

6.  Variabilities of Magnetic Resonance Imaging-, Computed Tomography-, and Positron Emission Tomography-Computed Tomography-Based Tumor and Lymph Node Delineations for Lung Cancer Radiation Therapy Planning.

Authors:  Kishor Karki; Siddharth Saraiya; Geoffrey D Hugo; Nitai Mukhopadhyay; Nuzhat Jan; Jessica Schuster; Matthew Schutzer; Lester Fahrner; Robert Groves; Kathryn M Olsen; John C Ford; Elisabeth Weiss
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-05-06       Impact factor: 7.038

7.  Auto-segmentation of the brachial plexus assessed with TaCTICS - a software platform for rapid multiple-metric quantitative evaluation of contours.

Authors:  Musaddiq Awan; Brandon Alan Dyer; Jayashree Kalpathy-Cramer; Eva Bongers; Max Dahele; Jinzhong Yang; Gary V Walker; Nikhil G Thaker; Emma Holliday; Andrew J Bishop; Charles R Thomas; David I Rosenthal; Clifton David Fuller
Journal:  Acta Oncol       Date:  2014-10-03       Impact factor: 4.089

8.  Improved Assessment of Middle Ear Recurrent Cholesteatomas Using a Fusion of Conventional CT and Non-EPI-DWI MRI.

Authors:  F Felici; U Scemama; D Bendahan; J-P Lavieille; G Moulin; C Chagnaud; M Montava; A Varoquaux
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-14       Impact factor: 3.825

9.  Radiotherapy volume delineation using 18F-FDG-PET/CT modifies gross node volume in patients with oesophageal cancer.

Authors:  E Jimenez-Jimenez; P Mateos; N Aymar; R Roncero; I Ortiz; M Gimenez; J Pardo; J Salinas; S Sabater
Journal:  Clin Transl Oncol       Date:  2018-05-02       Impact factor: 3.405

10.  A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen.

Authors:  Emmanuel Rios Velazquez; Hugo J W L Aerts; Yuhua Gu; Dmitry B Goldgof; Dirk De Ruysscher; Andre Dekker; René Korn; Robert J Gillies; Philippe Lambin
Journal:  Radiother Oncol       Date:  2012-11-15       Impact factor: 6.280

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