Literature DB >> 9788405

Variability of target volume delineation in cervical esophageal cancer.

P Tai1, J Van Dyk, E Yu, J Battista, L Stitt, T Coad.   

Abstract

PURPOSE: Three-dimensional (3D) conformal radiation therapy (CRT) assumes and requires the precise delineation of the target volume. To assess the consistency of target volume delineation by radiation oncologists, who treat esophageal cancers, we have performed a transCanada survey.
MATERIALS AND METHODS: One of three case presentations, including CT scan images, of different stages of cervical esophageal cancer was randomly chosen and sent by mail. Respondents were asked to fill in questionnaires regarding treatment techniques and to outline boost target volumes for the primary tumor on CT scans, using ICRU-50 definitions.
RESULTS: Of 58 radiation oncologists who agreed to participate, 48 (83%) responded. The external beam techniques used were mostly anterior-posterior fields, followed by a multifield boost technique. Brachytherapy was employed by 21% of the oncologists, and concurrent chemotherapy by 88%. For a given case, and the three volumes defined by ICRU-50 (i.e., gross tumor volume [GTV], clinical target volume [CTV], and planning target volume [PTV]) we determined: 1. The total length in the cranio-caudal dimension; 2. the mean diameter in the transverse slice that was located in a CT slice that was common to all participants; 3. the total volume for each ICRU volume; and 4. the (5, 95) percentiles for each parameter. The PTV showed a mean length of 14.4 (9.6, 18.0) cm for Case A, 9.4 (5.0, 15.0) cm for Case B, 11.8 (6.0, 16.0) cm for Case C, a mean diameter of 6.4 (5.0, 9.4) cm for Case A, 4.4 (0.0, 7.3) cm for Case B, 5.2 (3.9, 7.3) cm for Case C, and a mean volume of 320 (167, 840) cm3 for Case A and 176 (60, 362) cm3 for Case C. The results indicate variability factors (95 percentile divided by 5 percentile values) in target diameters of 1.5 to 2.6, and in target lengths of 1.9 to 5.0.
CONCLUSION: There was a substantial inconsistency in defining the planning target volume, both transversely and longitudinally, among radiation oncologists. The potential benefits of 3D treatment planning with high-precision dose delivery could be offset by this inconsistency in target-volume delineation by radiation oncologists. This may be particularly important for multicenter clinical trials, for which quality assurance of this step will be essential to the interpretation of results.

Entities:  

Mesh:

Year:  1998        PMID: 9788405     DOI: 10.1016/s0360-3016(98)00216-8

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


  32 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

2.  Interobserver variability in target volume delineation in postoperative radiochemotherapy for gastric cancer. A pilot prospective study.

Authors:  Cristina Moretones; David León; Arturo Navarro; Olalla Santacruz; Ana María Boladeras; Miquel Macià; María Cambray; Valentí Navarro; Ignasi Modolell; Ferran Guedea
Journal:  Clin Transl Oncol       Date:  2012-02       Impact factor: 3.405

3.  Precise delineation of clinical target volume for crossing-segments thoracic esophageal squamous cell carcinoma based on the pattern of lymph node metastases.

Authors:  Yuanli Dong; Hui Guan; Wei Huang; Zicheng Zhang; Dongbo Zhao; Yang Liu; Tao Zhou; Baosheng Li
Journal:  J Thorac Dis       Date:  2015-12       Impact factor: 2.895

4.  Development of a software for quantitative evaluation radiotherapy target and organ-at-risk segmentation comparison.

Authors:  Jayashree Kalpathy-Cramer; Musaddiq Awan; Steven Bedrick; Coen R N Rasch; David I Rosenthal; Clifton D Fuller
Journal:  J Digit Imaging       Date:  2014-02       Impact factor: 4.056

5.  Interobserver variability of clinical target volume delineation in supra-diaphragmatic Hodgkin's disease: a multi-institutional experience.

Authors:  Domenico Genovesi; Giampiero Ausili Cèfaro; Annamaria Vinciguerra; Antonietta Augurio; Monica Di Tommaso; Rita Marchese; Umberto Ricardi; Andrea Riccardo Filippi; Theodore Girinsky; Katiuscia Di Biagio; Maurizio Belfiglio; Enza Barbieri; Vincenzo Valentini
Journal:  Strahlenther Onkol       Date:  2011-05-16       Impact factor: 3.621

6.  Can CT scan protocols used for radiotherapy treatment planning be adjusted to optimize image quality and patient dose? A systematic review.

Authors:  Anne T Davis; Antony L Palmer; Andrew Nisbet
Journal:  Br J Radiol       Date:  2017-05-23       Impact factor: 3.039

7.  Interobserver variation in clinical target volume and organs at risk segmentation in post-parotidectomy radiotherapy: can segmentation protocols help?

Authors:  M Mukesh; R Benson; R Jena; A Hoole; T Roques; C Scrase; C Martin; G A Whitfield; J Gemmill; S Jefferies
Journal:  Br J Radiol       Date:  2012-08       Impact factor: 3.039

8.  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

9.  Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach.

Authors:  Yuhua Gu; Virendra Kumar; Lawrence O Hall; Dmitry B Goldgof; Ching-Yen Li; René Korn; Claus Bendtsen; Emmanuel Rios Velazquez; Andre Dekker; Hugo Aerts; Philippe Lambin; Xiuli Li; Jie Tian; Robert A Gatenby; Robert J Gillies
Journal:  Pattern Recognit       Date:  2013-03-01       Impact factor: 7.740

10.  Postoperative extended-volume external-beam radiation therapy in high-risk esophageal cancer patients: a prospective experience.

Authors:  E Yu; P Tai; J Younus; R Malthaner; P Truong; L Stitt; G Rodrigues; R Ash; R Dar; B Yaremko; A Tomiak; B Dingle; M Sanatani; M Vincent; W Kocha; D Fortin; R Inculet
Journal:  Curr Oncol       Date:  2009-08       Impact factor: 3.677

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