Journals / Türk Onkoloji Dergisi / 2026 / Cilt: 23 Sayı: 3

The effect of intravenous contrast agent on lung cancer treatment planning with different systems

Akciğer kanserinin tedavi planlamasında intravenöz kontrast ajanların farklı tedavi planlama sistemleri üzerindeki etkileri

Pages
126–131
Publication Date
2008-04-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

CONCLUSION Although 3D planning of the lung could be done with contrasted CT dataset, according to our findings, it should ideally be planned with non-contrast CT fusing with created volumes in contrasted ones.

📌 3 Key Takeaways

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Objective & Hypothesis:OBJECTIVES The effects of intravenous contrast agent on two different 3D conformal radiotherapy treatment planning systems with different algorithms were studied.
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Key Findings & Data:METHODS Contrast-enhanced and non-contrast computed tomography (CT) data sets belonging to a lung cancer patients were studied with XiO (CMS) and Eclipse™ (Varian).
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Conclusion & Impact:CONCLUSION Although 3D planning of the lung could be done with contrasted CT dataset, according to our findings, it should ideally be planned with non-contrast CT fusing with created volumes in contrasted ones.
🔬Design:Makale
📍Scope:Comprehensive Sample
⚙️Variables:Akciğer kanseri · kontrast madde · tedavi planlama sistemi

Abstract

OBJECTIVES The effects of intravenous contrast agent on two different 3D conformal radiotherapy treatment planning systems with different algorithms were studied. METHODS Contrast-enhanced and non-contrast computed tomography (CT) data sets belonging to a lung cancer patients were studied with XiO (CMS) and Eclipse™ (Varian). The convolution, Clarkson, fast superposition and standard superposition algorithms of XiO and modified Batho, Batho power law and equivalent TAR algorithms of Eclipse were studied with different field sizes and angles. The correlations between the changes of monitor units (MU) with both field sizes and total Hounsfield unit (HU) changes were investigated. RESULTS The mean MU change was +1.3% (-1% to +3.2%). There was a strong linear correlation between HU and MU changes of XiO algorithms (r2=0.79) and no correlation in Eclipse. CONCLUSION Although 3D planning of the lung could be done with contrasted CT dataset, according to our findings, it should ideally be planned with non-contrast CT fusing with created volumes in contrasted ones.

Özet

AMAÇ Akciğer kanserinin üç boyutlu konformal radyoterapi planlamasında intravenöz kontrast ajan kullanımının iki ayrı tedavi planlama sisteminin farklı algoritmalarıyla hesapladığı dozlardaki değişim incelendi. GEREÇ VE YÖNTEM Akciğer kanserli hastanın kontrastsız ve kontrastlı bilgisayarlı tomografi (BT) kesitleri XiO ( CMS) ve Eclipse™ (Varian) sistemlerinde değerlendirildi. Çeşitli alan boyutları ve açı düzenlemelerinde eşit ağırlıklı dozlar gönderilerek XiO 'nun konvolüsyon, Clarkson, hızlı süperpozisyon ve standart süperpozisyon ile Eclipse'nin modified Batho, Batho power law ve equivalent TAR algoritmaları ile hesaplanan monitör ünitlerin (MU) kontrastla değişimi değerlendirildi. Tüm algoritmalarda toplam monitör ünit değişikliklerinin Hounsfield unit (HU) değişimi ve alan boyutu ile bağıntısı araştırıldı. BULGULAR Kontrast madde kullanımı ile MU değerlerinde ortalama +%1,3'lük (-%1 ile +%3,2 arasında) artış oldu. XiO'de HU değişimi ile MU değişimi arasında lineer ve güçlü (r2=0,79) olarak saptanan bağıntı Eclipse'te gösterilemedi. SONUÇ Bulgularımız kontrastlı BT kesitleri ile üç boyutlu radyoterapi planlaması yapılabileceğini düşündürmekle birlikte, hedef hacimlerin kontrastlı kesitler üzerinde belirlenip kontrastsız kesitlerle füzyonu ve planlamanın kontrastsız kesitler üzerinde yapılması en uygun yaklaşımdır.

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Cite This Article

Fayda, M., Yıldırım, A., Tarpıcı, N., Aksu, G., Çakır, A. (2008). The effect of intravenous contrast agent on lung cancer treatment planning with different systems. Türk Onkoloji Dergisi, Cilt: 23 Sayı: 3, 126–131. https://ajindex.com/articles/1437154

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