Literature DB >> 17482770

Is there a selection bias in radiotherapy dose-escalation protocols?

Elisabeth Weiss1, Viswanathan Ramakrishnan, Paul J Keall.   

Abstract

BACKGROUND: To investigate the existence of a selection bias using a virtual radiotherapy dose-escalation trial. In dose-escalation trials, normal tissue constraints generally remain constant while the tumor dose is increased. Since tumor dose and normal tissue constraints are competing demands, a point will be reached at which the tumor dose cannot be increased without exceeding normal tissue constraints. METHODS AND MATERIALS: In 9 patients with non-small-cell lung cancer, the tumor dose was escalated from 66 Gy to 78 Gy in 4-Gy dose levels using intensity-modulated radiotherapy planning, while the limiting normal tissue dose constraints remained constant. Dosimetric, radiobiologic, and other planning parameters were compared at the 66-Gy dose level for patients eligible for all dose levels and for those eligible only for lower dose levels.
RESULTS: Seven of 9 patients were eligible for all dose levels (Group E). Two of 9 patients ("ineligible" or Group I) qualified only for lower total doses (95% confidence interval, 0.075-0.6, significant). In Group E, mean planning target volumes were smaller (132 vs. 404 cm(3), nonsignificant), monitor units per fraction were significantly lower (448 vs. 802, p = 0.0008), and the average composite score for plan quality was better than in Group I (0.012 vs. 0.068, nonsignificant). Average tumor-control probabilities were higher (0.33 vs. 0.23, nonsignificant), and normal tissue-complication probabilities were lower for Group E than for Group I.
CONCLUSIONS: Patients eligible for higher dose levels had significantly superior estimated outcome parameters. A method to eliminate this source of error in the interpretation of dose-escalation trials is suggested.

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Mesh:

Year:  2007        PMID: 17482770      PMCID: PMC2040034          DOI: 10.1016/j.ijrobp.2007.02.006

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


  30 in total

1.  Optimum parameters in a model for tumour control probability including interpatient heterogeneity.

Authors:  S Webb
Journal:  Phys Med Biol       Date:  1994-11       Impact factor: 3.609

2.  Dose, volume, and tumor-control predictions in radiotherapy.

Authors:  D J Brenner
Journal:  Int J Radiat Oncol Biol Phys       Date:  1993-04-30       Impact factor: 7.038

3.  Clinical dose-volume histogram analysis for pneumonitis after 3D treatment for non-small cell lung cancer (NSCLC)

Authors:  M V Graham; J A Purdy; B Emami; W Harms; W Bosch; M A Lockett; C A Perez
Journal:  Int J Radiat Oncol Biol Phys       Date:  1999-09-01       Impact factor: 7.038

4.  Evaluation of respiratory movement during gated radiotherapy using film and electronic portal imaging.

Authors:  E C Ford; G S Mageras; E Yorke; K E Rosenzweig; R Wagman; C C Ling
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-02-01       Impact factor: 7.038

5.  Prognostic factors in the treatment of node-negative nonsmall cell lung carcinoma with radiotherapy alone.

Authors:  P A Kupelian; R Komaki; P Allen
Journal:  Int J Radiat Oncol Biol Phys       Date:  1996-10-01       Impact factor: 7.038

6.  Predictors of acute esophagitis in patients with non-small-cell lung carcinoma treated with concurrent chemotherapy and hyperfractionated radiotherapy followed by surgery.

Authors:  Ashish B Patel; Martin J Edelman; Young Kwok; Mark J Krasna; Mohan Suntharalingam
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-11-15       Impact factor: 7.038

7.  High-dose conformal radiotherapy for treatment of stage IIIA/IIIB non-small-cell lung cancer: technical issues and results of a phase I/II trial.

Authors:  Julian G Rosenman; Jan S Halle; Mark A Socinski; Katharin Deschesne; Dominic T Moore; Harold Johnson; Robert Fraser; David E Morris
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-10-01       Impact factor: 7.038

8.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy.

Authors:  Yvette Seppenwoolde; Hiroki Shirato; Kei Kitamura; Shinichi Shimizu; Marcel van Herk; Joos V Lebesque; Kazuo Miyasaka
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-07-15       Impact factor: 7.038

9.  A model for calculating tumour control probability in radiotherapy including the effects of inhomogeneous distributions of dose and clonogenic cell density.

Authors:  S Webb; A E Nahum
Journal:  Phys Med Biol       Date:  1993-06       Impact factor: 3.609

10.  Radiation pneumonitis as a function of mean lung dose: an analysis of pooled data of 540 patients.

Authors:  S L Kwa; J V Lebesque; J C Theuws; L B Marks; M T Munley; G Bentel; D Oetzel; U Spahn; M V Graham; R E Drzymala; J A Purdy; A S Lichter; M K Martel; R K Ten Haken
Journal:  Int J Radiat Oncol Biol Phys       Date:  1998-08-01       Impact factor: 7.038

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