Literature DB >> 21903286

Radiation dose response of normal lung assessed by Cone Beam CT - a potential tool for biologically adaptive radiation therapy.

Anders Bertelsen1, Tine Schytte, Søren M Bentzen, Olfred Hansen, Morten Nielsen, Carsten Brink.   

Abstract

BACKGROUND: Density changes of healthy lung tissue during radiotherapy as observed by Cone Beam CT (CBCT) might be an early indicator of patient specific lung toxicity. This study investigates the time course of CBCT density changes and tests for a possible correlation with locally delivered dose.
METHODS: A total of 665 CBCTs in 65 lung cancer patients treated with IMRT/VMAT to 60 or 66 Gy in 2 Gy fractions were analyzed. For each patient, CBCT lung density changes during the treatment course were related to the locally delivered dose.
RESULTS: A dose response is observed for the patient population at the end of the treatment course. However, the observed dose response is highly variable among patients. Density changes at 10th and 20th fraction are clearly correlated to those observed at the end of the treatment course.
CONCLUSIONS: CBCT density changes in healthy lung tissue during radiotherapy correlate with the locally delivered dose and can be detected relatively early during the treatment. If these density changes are correlated to subsequent clinical toxicity this assay could form the basis for biological adaptive radiotherapy.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21903286     DOI: 10.1016/j.radonc.2011.08.012

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


  8 in total

1.  Open source deformable image registration system for treatment planning and recurrence CT scans : Validation in the head and neck region.

Authors:  Ruta Zukauskaite; Carsten Brink; Christian Rønn Hansen; Anders Bertelsen; Jørgen Johansen; Cai Grau; Jesper Grau Eriksen
Journal:  Strahlenther Onkol       Date:  2016-06-20       Impact factor: 3.621

2.  Production, review, and impact of technical quality control guidelines in a national context.

Authors:  Michelle K Nielsen; Kyle E Malkoske; Erika Brown; Kevin Diamond; Normand Frenière; John Grant; Natalie Pomerleau-Dalcourt; Jason Schella; L John Schreiner; Laurent Tantôt; J Eduardo Villareal-Barajas; Jean-Pierre Bissonnette
Journal:  J Appl Clin Med Phys       Date:  2016-11-08       Impact factor: 2.102

3.  Longitudinal radiomics of cone-beam CT images from non-small cell lung cancer patients: Evaluation of the added prognostic value for overall survival and locoregional recurrence.

Authors:  Janna E van Timmeren; Wouter van Elmpt; Ralph T H Leijenaar; Bart Reymen; René Monshouwer; Johan Bussink; Leen Paelinck; Evelien Bogaert; Carlos De Wagter; Elamin Elhaseen; Yolande Lievens; Olfred Hansen; Carsten Brink; Philippe Lambin
Journal:  Radiother Oncol       Date:  2019-04-11       Impact factor: 6.280

Review 4.  Current status and future directions in unresectable stage III non-small cell lung cancer.

Authors:  Esperanza Arriola Arellano; Verónica Díaz Díaz; Joaquín José Cabrera Rodríguez
Journal:  J Clin Transl Res       Date:  2020-10-29

Review 5.  Adaptive Radiation Therapy in the Treatment of Lung Cancer: An Overview of the Current State of the Field.

Authors:  Huzaifa Piperdi; Daniella Portal; Shane S Neibart; Ning J Yue; Salma K Jabbour; Meral Reyhan
Journal:  Front Oncol       Date:  2021-11-29       Impact factor: 6.244

Review 6.  Applications of linac-mounted kilovoltage Cone-beam Computed Tomography in modern radiation therapy: A review.

Authors:  Kavitha Srinivasan; Mohammad Mohammadi; Justin Shepherd
Journal:  Pol J Radiol       Date:  2014-07-03

7.  Study of Variation in Dose Calculation Accuracy Between kV Cone-Beam Computed Tomography and kV fan-Beam Computed Tomography.

Authors:  Venkatesan Kaliyaperumal; C Jomon Raphael; K Mathew Varghese; Paul Gopu; S Sivakumar; Minu Boban; N Arunai Nambi Raj; K Senthilnathan; P Ramesh Babu
Journal:  J Med Phys       Date:  2017 Jul-Sep

8.  Cone-beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients.

Authors:  Qingjin Qin; Anhui Shi; Ran Zhang; Qiang Wen; Tianye Niu; Jinhu Chen; Qingtao Qiu; Yidong Wan; Xiaorong Sun; Ligang Xing
Journal:  Thorac Cancer       Date:  2020-02-15       Impact factor: 3.500

  8 in total

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