Literature DB >> 24529716

Study of 201 non-small cell lung cancer patients given stereotactic ablative radiation therapy shows local control dependence on dose calculation algorithm.

Kujtim Latifi1, Jasmine Oliver2, Ryan Baker3, Thomas J Dilling4, Craig W Stevens4, Jongphil Kim5, Binglin Yue5, Marylou Demarco4, Geoffrey G Zhang4, Eduardo G Moros4, Vladimir Feygelman4.   

Abstract

PURPOSE: Pencil beam (PB) and collapsed cone convolution (CCC) dose calculation algorithms differ significantly when used in the thorax. However, such differences have seldom been previously directly correlated with outcomes of lung stereotactic ablative body radiation (SABR). METHODS AND MATERIALS: Data for 201 non-small cell lung cancer patients treated with SABR were analyzed retrospectively. All patients were treated with 50 Gy in 5 fractions of 10 Gy each. The radiation prescription mandated that 95% of the planning target volume (PTV) receive the prescribed dose. One hundred sixteen patients were planned with BrainLab treatment planning software (TPS) with the PB algorithm and treated on a Novalis unit. The other 85 were planned on the Pinnacle TPS with the CCC algorithm and treated on a Varian linac. Treatment planning objectives were numerically identical for both groups. The median follow-up times were 24 and 17 months for the PB and CCC groups, respectively. The primary endpoint was local/marginal control of the irradiated lesion. Gray's competing risk method was used to determine the statistical differences in local/marginal control rates between the PB and CCC groups.
RESULTS: Twenty-five patients planned with PB and 4 patients planned with the CCC algorithms to the same nominal doses experienced local recurrence. There was a statistically significant difference in recurrence rates between the PB and CCC groups (hazard ratio 3.4 [95% confidence interval: 1.18-9.83], Gray's test P=.019). The differences (Δ) between the 2 algorithms for target coverage were as follows: ΔD99GITV = 7.4 Gy, ΔD99PTV = 10.4 Gy, ΔV90GITV = 13.7%, ΔV90PTV = 37.6%, ΔD95PTV = 9.8 Gy, and ΔDISO = 3.4 Gy. GITV = gross internal tumor volume.
CONCLUSIONS: Local control in patients receiving who were planned to the same nominal dose with PB and CCC algorithms were statistically significantly different. Possible alternative explanations are described in the report, although they are not thought likely to explain the difference. We conclude that the difference is due to relative dosimetric underdosing of tumors with the PB algorithm.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24529716     DOI: 10.1016/j.ijrobp.2013.12.047

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


  14 in total

Review 1.  SBRT in operable early stage lung cancer patients.

Authors:  Johannes Roesch; Nicolaus Andratschke; Matthias Guckenberger
Journal:  Transl Lung Cancer Res       Date:  2014-08

Review 2.  Stereotactic body radiotherapy (SBRT) for the treatment of inoperable stage I non-small cell lung cancer patients.

Authors:  L Ceniceros; J Aristu; E Castañón; C Rolfo; J Legaspi; A Olarte; G Valtueña; M Moreno; I Gil-Bazo
Journal:  Clin Transl Oncol       Date:  2015-08-05       Impact factor: 3.405

3.  Local control rates in stereotactic body radiotherapy (SBRT) of lung metastases associated with the biologically effective dose.

Authors:  Daniel Zucca Aparicio; Ovidio Hernando Requejo; Miguel Ángel de la Casa de Julián; Carmen Rubio Rodríguez; Pedro Fernández Letón
Journal:  Rep Pract Oncol Radiother       Date:  2019-01-22

4.  Stereotactic radiotherapy of intrapulmonary lesions: comparison of different dose calculation algorithms for Oncentra MasterPlan®.

Authors:  Almut Troeller; Sylvia Garny; Sophia Pachmann; Steffi Kantz; Sabine Gerum; Farkhad Manapov; Ute Ganswindt; Claus Belka; Matthias Söhn
Journal:  Radiat Oncol       Date:  2015-02-22       Impact factor: 3.481

5.  Adapted Prescription Dose for Monte Carlo Algorithm in Lung SBRT: Clinical Outcome on 205 Patients.

Authors:  Jean-Emmanuel Bibault; Xavier Mirabel; Thomas Lacornerie; Emmanuelle Tresch; Nick Reynaert; Eric Lartigau
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

6.  Dosimetric impact of number of treatment fields in uniform scanning proton therapy planning of lung cancer.

Authors:  Suresh Rana; Hilarie Simpson; Gary Larson; Yuanshui Zheng
Journal:  J Med Phys       Date:  2014-10

7.  Adaptive hypofractionated gamma knife radiosurgery in the acute management of brainstem metastases.

Authors:  Georges Sinclair; Hamza Benmakhlouf; Heather Martin; Markus Maeurer; Ernest Dodoo
Journal:  Surg Neurol Int       Date:  2019-01-29

8.  Comparing the clinical outcomes in stereotactic body radiotherapy for lung tumors between Ray-Tracing and Monte-Carlo algorithms.

Authors:  Jin Ho Song; Ki Mun Kang; Hoon-Sik Choi; Hojin Jeong; In Bong Ha; Jong Deog Lee; Ho Cheol Kim; Yi Yeong Jeong; Yu Ji Cho; Seung Jun Lee; Sung Hwan Kim; In-Seok Jang; Bae Kwon Jeong
Journal:  Oncotarget       Date:  2016-04-05

9.  Film-based dose validation of Monte Carlo algorithm for Cyberknife system with a CIRS thorax phantom.

Authors:  Yuxi Pan; Ruijie Yang; Jun Li; Xile Zhang; Lu Liu; Junjie Wang
Journal:  J Appl Clin Med Phys       Date:  2018-03-30       Impact factor: 2.102

Review 10.  The impact of technology on the changing practice of lung SBRT.

Authors:  Marianne Camille Aznar; Samantha Warren; Mischa Hoogeman; Mirjana Josipovic
Journal:  Phys Med       Date:  2018-01-10       Impact factor: 2.685

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