Literature DB >> 8310142

Quality assessment of medical decision making in radiation oncology: variability in target volume delineation for brain tumours.

G Leunens1, J Menten, C Weltens, J Verstraete, E van der Schueren.   

Abstract

The enormous developments in radiation technology open new horizons for improvements in local tumour control. However, the evolution from conventional external beam radiotherapy planning to conformal therapy might be hampered by the potential risk of over-reliance on the physician's capability of estimating the tumour extent from imaging modalities. The variability between 12 volunteering physicians in the delineation of tumour and target volume on the lateral orthogonal localisation radiograph from CT was assessed for 5 brain tumours. The estimated tumour and target sizes varied, respectively with a factor of 1.3-2.6 and with a factor of 1.3-2.1. The anatomical location of the volumes showed maximum variations from 11 to 27 mm in the cranio-caudal direction and from 14 to 21 mm in the fronto-occipital direction. For the 5 test cases, the tumour area on which all radiation oncologists agreed, represented only 25-73% of the corresponding mean tumour area. Although the introduction of computed tomography in radiation treatment planning was proved to be a major step forwards for treatment planning in many tumour sites, the results of the present study on brain tumours demonstrate that the subjective interpretation of the tumour extent based on CT images might be one of the largest factors contributing to the overall uncertainty in radiation treatment planning. Moreover, this study endorses the need for uncertainty analysis of the medical decision-making process. It may be that the process of making uncertainties explicit can contribute to the improvement of our present concept of radiation treatment planning.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 8310142     DOI: 10.1016/0167-8140(93)90243-2

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  24 in total

1.  Assessment of intra-observer variability in measurement of high-grade brain tumors.

Authors:  James M Provenzale; Michael C Mancini
Journal:  J Neurooncol       Date:  2012-03-10       Impact factor: 4.130

2.  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

3.  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

4.  Using an artificial neural network to define the planning target volume in radiotherapy.

Authors:  N Kaspari; B Michaelis; G Gademann
Journal:  J Med Syst       Date:  1997-12       Impact factor: 4.460

5.  Extracting fuzzy classification rules from texture segmented HRCT lung images.

Authors:  Manish Kakar; Arianna Mencattini; Marcello Salmeri
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

6.  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

7.  A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy.

Authors:  Y Feng; E H Clayton; R J Okamoto; J Engelbach; P V Bayly; J R Garbow
Journal:  Phys Med Biol       Date:  2016-07-27       Impact factor: 3.609

8.  Variability of target and normal structure delineation for breast cancer radiotherapy: an RTOG Multi-Institutional and Multiobserver Study.

Authors:  X Allen Li; An Tai; Douglas W Arthur; Thomas A Buchholz; Shannon Macdonald; Lawrence B Marks; Jean M Moran; Lori J Pierce; Rachel Rabinovitch; Alphonse Taghian; Frank Vicini; Wendy Woodward; Julia R White
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-03-01       Impact factor: 7.038

9.  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

10.  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

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