Literature DB >> 16896591

The reasons for discrepancies in target volume delineation : a SASRO study on head-and-neck and prostate cancers.

Wendy Jeanneret-Sozzi1, Raphaël Moeckli, Jean-François Valley, Abderrahim Zouhair, Esat Mahmut Ozsahin, René-Olivier Mirimanoff.   

Abstract

PURPOSE: To understand the reasons for differences in the delineation of target volumes between physicians.
MATERIAL AND METHODS: 18 Swiss radiooncology centers were invited to delineate volumes for one prostate and one head-and-neck case. In addition, a questionnaire was sent to evaluate the differences in the volume definition (GTV [gross tumor volume], CTV [clinical target volume], PTV [planning target volume]), the various estimated margins, and the nodes at risk. Coherence between drawn and stated margins by centers was calculated. The questionnaire also included a nonspecific series of questions regarding planning methods in each institution.
RESULTS: Fairly large differences in the drawn volumes were seen between the centers in both cases and also in the definition of volumes. Correlation between drawn and stated margins was fair in the prostate case and poor in the head-and-neck case. The questionnaire revealed important differences in the planning methods between centers.
CONCLUSION: These large differences could be explained by (1) a variable knowledge/interpretation of ICRU definitions, (2) variable interpretations of the potential microscopic extent, (3) difficulties in GTV identification, (4) differences in the concept, and (5) incoherence between theory (i.e., stated margins) and practice (i.e., drawn margins).

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Year:  2006        PMID: 16896591     DOI: 10.1007/s00066-006-1463-6

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  20 in total

1.  Human-computer interaction in radiotherapy target volume delineation: a prospective, multi-institutional comparison of user input devices.

Authors: 
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

Review 2.  Balancing risk and reward in target delineation for highly conformal radiotherapy in head and neck cancer.

Authors:  Avraham Eisbruch; Vincent Gregoire
Journal:  Semin Radiat Oncol       Date:  2009-01       Impact factor: 5.934

3.  Methods for estimating the site of origin of locoregional recurrence in head and neck squamous cell carcinoma.

Authors:  A K Due; I R Vogelius; M C Aznar; S M Bentzen; A K Berthelsen; S S Korreman; C A Kristensen; L Specht
Journal:  Strahlenther Onkol       Date:  2012-05-13       Impact factor: 3.621

4.  Target Contour Testing/Instructional Computer Software (TaCTICS): A Novel Training and Evaluation Platform for Radiotherapy Target Delineation.

Authors:  Jayashree Kalpathy-Cramer; Clifton David Fuller
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

5.  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

6.  Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network.

Authors:  Zhe Guo; Ning Guo; Kuang Gong; Shun'an Zhong; Quanzheng Li
Journal:  Phys Med Biol       Date:  2019-10-16       Impact factor: 3.609

7.  Prospective randomized double-blind pilot study of site-specific consensus atlas implementation for rectal cancer target volume delineation in the cooperative group setting.

Authors:  Clifton D Fuller; Jasper Nijkamp; Joop C Duppen; Coen R N Rasch; Charles R Thomas; Samuel J Wang; Paul Okunieff; William E Jones; Daniel Baseman; Shilpen Patel; Carlo G N Demandante; Anna M Harris; Benjamin D Smith; Alan W Katz; Camille McGann; Jennifer L Harper; Daniel T Chang; Stephen Smalley; David T Marshall; Karyn A Goodman; Niko Papanikolaou; Lisa A Kachnic
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-04-18       Impact factor: 7.038

8.  Quantitative assessment of target delineation variability for thymic cancers: Agreement evaluation of a prospective segmentation challenge.

Authors:  Emma Holliday; Clifton D Fuller; Jayashree Kalpathy-Cramer; Daniel Gomez; Andreas Rimner; Ying Li; Suresh Senan; Lynn D Wilson; Jehee Choi; Ritsuko Komaki; Charles R Thomas
Journal:  J Radiat Oncol       Date:  2015-11-03

9.  Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer.

Authors:  Gary V Walker; Musaddiq Awan; Randa Tao; Eugene J Koay; Nicholas S Boehling; Jonathan D Grant; Dean F Sittig; Gary Brandon Gunn; Adam S Garden; Jack Phan; William H Morrison; David I Rosenthal; Abdallah Sherif Radwan Mohamed; Clifton David Fuller
Journal:  Radiother Oncol       Date:  2014-09-09       Impact factor: 6.280

10.  Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography.

Authors:  Bingjiang Qiu; Jiapan Guo; Joep Kraeima; Haye Hendrik Glas; Weichuan Zhang; Ronald J H Borra; Max Johannes Hendrikus Witjes; Peter M A van Ooijen
Journal:  J Pers Med       Date:  2021-05-31
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