Literature DB >> 9652859

Clinical variability of target volume description in conformal radiotherapy planning.

J P Logue1, C L Sharrock, R A Cowan, G Read, J Marrs, D Mott.   

Abstract

PURPOSE: The pivotal step in radiation planning is delineation of the target volume and production of a treatment plan to encompass this. This study assesses the variation of physicians in creation of these volumes. METHODS AND MATERIALS: Three radiologists and eight radiation oncologists outlined the gross tumour volume (GTV) on the planning CT scans of four cases with T3 bladder cancer. In addition, the radiation oncologists (RO) created a planning target volume according to a set protocol for all cases. Volumes were produced and comparison of these volumes and the position of the isocenters were analysed. In addition, the margins allowed were measured and compared.
RESULTS: There was a maximum variation ratio (largest to smallest volume outlined) of the GTV in the four cases of 1.74 among radiologists and 3.74 among oncologists. There was a significant difference (p = 0.01) in mean GTV between RO and the radiologists. The mean GTV of the RO exceeded the radiologists by a factor of 1.29 with a mean difference of 13.4 cm3. The variation ratio in PTV among oncologists ranged from 1.25 to 3.33. There was no significant difference in mean PTV values between the two groups of ROs divided by specialization in uro-oncology. The mean variation in location of the isocenter from the centroid of the radiologists' volume in the four cases was from 2.6 to 5.7 mm. There was, however, a wide range of values from 1.4 mm to 24.1 mm. Median margin per case ranged from 14.7 to 18.7 mm. Minimum margins allowed in each case varied from minus 7 mm to 9 mm.
CONCLUSION: This study demonstrates significant interphysician variability in producing target volumes and radiation plans for conformal radiotherapy. The scale of this difference is clearly of significance, with up to 3-fold variation in volumes delineated by clinicians. The factors leading to these differences will be further addressed. The existence of such variability, however, clearly needs to be accepted as a factor in the overall uncertainty analysis in conformal radiotherapy planning.

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Year:  1998        PMID: 9652859     DOI: 10.1016/s0360-3016(98)00148-5

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


  14 in total

1.  Critical discussion of evaluation parameters for inter-observer variability in target definition for radiation therapy.

Authors:  I Fotina; C Lütgendorf-Caucig; M Stock; R Pötter; D Georg
Journal:  Strahlenther Onkol       Date:  2012-01-27       Impact factor: 3.621

2.  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

3.  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

4.  Conformal radiotherapy for lung cancer: interobservers' variability in the definition of gross tumor volume between radiologists and radiotherapists.

Authors:  Chiang J Tyng; Rubens Chojniak; Paula N V Pinto; Marcelle A Borba; Almir G V Bitencourt; Ricardo C Fogaroli; Douglas G Castro; Paulo E Novaes
Journal:  Radiat Oncol       Date:  2009-08-05       Impact factor: 3.481

5.  Image-Based Treatment Planning of the Post-Lumpectomy Breast Utilizing CT and 3TMRI.

Authors:  Geraldine Jacobson; Gideon Zamba; Vicki Betts; M Muruganandham; Joni Buechler-Price
Journal:  Int J Breast Cancer       Date:  2011-04-06

6.  New target volume delineation and PTV strategies to further personalise radiotherapy.

Authors:  David Bernstein; Alexandra Taylor; Simeon Nill; Uwe Oelfke
Journal:  Phys Med Biol       Date:  2021-02-25       Impact factor: 3.609

7.  Evaluation of inter-observer variability of bladder boundary delineation on cone-beam CT.

Authors:  Kentaro Nishioka; Shinichi Shimizu; Rumiko Kinoshita; Tetsuya Inoue; Shunsuke Onodera; Koichi Yasuda; Keiichi Harada; Yukiko Nishikawa; Rikiya Onimaru; Hiroki Shirato
Journal:  Radiat Oncol       Date:  2013-07-23       Impact factor: 3.481

8.  Evaluating the impact of an integrated multidisciplinary head & neck competency-based anatomy & radiology teaching approach in radiation oncology: a prospective cohort study.

Authors:  Leah D'Souza; Jasbir Jaswal; Francis Chan; Marjorie Johnson; Keng Yeow Tay; Kevin Fung; David Palma
Journal:  BMC Med Educ       Date:  2014-06-26       Impact factor: 2.463

9.  Variations in CT determination of target volume with active breath co-ordinate in radiotherapy for post-operative gastric cancer.

Authors:  Gui-Chao Li; Zhen Zhang; Xue-Jun Ma; Xiao-Li Yu; Wei-Gang Hu; Jia-Zhou Wang; Qi-Wen Li; Li-Ping Liang; Li-Jun Shen; Hui Zhang; Ming Fan
Journal:  Br J Radiol       Date:  2015-12-14       Impact factor: 3.039

10.  Assessment of consistency in contouring of normal-tissue anatomic structures.

Authors:  Dawn C Collier; Stuart S C Burnett; Mayankkumar Amin; Stephen Bilton; Christopher Brooks; Amanda Ryan; Dominique Roniger; Danny Tran; George Starkschall
Journal:  J Appl Clin Med Phys       Date:  2003       Impact factor: 2.102

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