Literature DB >> 34434575

Dosimetric study of Hounsfield number correction effect in areas influenced by contrast product in lungs case.

Yassine Oulhouq1,2, Dikra Bakari3, Deae-Eddine Krim1, Mustapha Zerfaoui1, Abdeslem Rrhioua1, Soufiane Berhili2, Loubna Mezouar2.   

Abstract

BACKGROUND: The aim of the study was dosimetric effect quantification of exclusive computed tomography (CT) use with an intravenous (IV) contrast agent (CA ), on dose distribution of 3D-CRT treatment plans for lung cancer. Furthermore, dosimetric advantage investigation of manually contrast-enhanced region overriding, especially the heart.
MATERIALS AND METHODS: Ten patients with lung cancer were considered. For each patient two planning CT sets were initially taken with and without CA. Treatment planning were optimized based on CT scans without CA. All plans were copied and recomputed on scans with CA. In addition, scans with IV contrast were copied and density correction was performed for heart contrast enhanced. Same plans were copied and replaced to undo dose calculation errors that may be caused by CA. Eventually, dosimetric evaluations based on dose volume histograms (DVHs) of planning target volumes (PTV) and organs at-risk were studied and analyzed using the Wilcoxon's signed rank test.
RESULTS: There is no statistically significant difference in dose calculation for the PTV maximum, mean, minimum doses, spinal cord maximum doses and lung volumes that received 20 and 30 Gy, between planes calculated with and without contrast scans (p > 0.05) and also for contrast scan, with manual regions overriding.
CONCLUSIONS: Dose difference caused by the contrast agent is negligible and not significant. Therefore, there is no justification to perform two scans, and using an IV contrast enhanced scan for dose calculation is sufficient.
© 2021 Greater Poland Cancer Centre.

Entities:  

Keywords:  3D-CRT; PTV; contrast agent; dose calculation; lung cancer; tomography

Year:  2021        PMID: 34434575      PMCID: PMC8382071          DOI: 10.5603/RPOR.a2021.0083

Source DB:  PubMed          Journal:  Rep Pract Oncol Radiother        ISSN: 1507-1367


  22 in total

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2.  The effect of intravenous contrast on photon radiation therapy dose calculations for lung cancer.

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3.  Deformable image registration based automatic CT-to-CT contour propagation for head and neck adaptive radiotherapy in the routine clinical setting.

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4.  The effect of intravenous contrast on intensity-modulated radiation therapy dose calculations for head and neck cancer.

Authors:  Stanley L Liauw; Robert J Amdur; William M Mendenhall; Jatinder Palta; Siyong Kim
Journal:  Am J Clin Oncol       Date:  2005-10       Impact factor: 2.339

5.  Variability in the detection of enlarged mediastinal lymph nodes in staging lung cancer: a comparison of contrast-enhanced and unenhanced CT.

Authors:  P N Cascade; B H Gross; E A Kazerooni; L E Quint; I R Francis; M Strawderman; M Korobkin
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6.  Free-to-use DIR solutions in radiotherapy: Benchmark against commercial platforms through a contour-propagation study.

Authors:  A Scaggion; C Fiandra; G Loi; C Vecchi; M Fusella
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7.  Status of radiotherapy resources in Africa: an International Atomic Energy Agency analysis.

Authors:  May Abdel-Wahab; Jean-Marc Bourque; Yaroslav Pynda; Joanna Iżewska; Debbie Van der Merwe; Eduardo Zubizarreta; Eduardo Rosenblatt
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8.  Variables altering the impact of respiratory gated CT simulation on planning target volume in radiotherapy for lung cancer.

Authors:  Fawzi Abuhijla; Abdellatif Al-Mousa; Ramiz Abuhijlih; Lubna Hammoudeh; Khalid Dibs; Adhoob Al-Hammadi; Taher Abuhejleh; Jamal Khader
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-16

9.  Software simulation of tumour motion dose effects during flattened and unflattened ITV-based VMAT lung SBRT.

Authors:  Marta Adamczyk; Marta Kruszyna-Mochalska; Anna Rucińska; Tomasz Piotrowski
Journal:  Rep Pract Oncol Radiother       Date:  2020-06-11

10.  Excluding PTV from lung volume may better predict radiation pneumonitis for intensity modulated radiation therapy in lung cancer patients.

Authors:  Yinnan Meng; Haihua Yang; Wei Wang; Xingni Tang; Caiping Jiang; Yichao Shen; Wei Luo
Journal:  Radiat Oncol       Date:  2019-01-14       Impact factor: 3.481

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