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Evaluation on lung cancer patients’ adaptive planning of TomoTherapy utilising radiobiological measures and Planned Adaptive module

Published online by Cambridge University Press:  01 December 2009

Fan-Chi Su*
Affiliation:
Radiation Oncology Department, Cancer Therapy and Research Center, San Antonio, Texas, USA
Chengyu Shi
Affiliation:
Division of Radiological Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
Panayiotis Mavroidis
Affiliation:
Department of Medical Radiation Physics, Karolinska Institute and Stockholm University, Sweden Department of Medical Physics, Larissa University Hospital, Larissa, Greece
Prema Rassiah-Szegedi
Affiliation:
Department of Radiation Oncology, University of Utah, Salt Lake City, Utah, USA
Niko Papanikolaou
Affiliation:
Division of Radiological Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
*
Correspondence to: Chengyu Shi, Division of Radiological Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA. E-mail: shic@uthscsa.edu

Abstract

Adaptive radiation therapy is a promising concept that allows individualised, dynamic treatment planning based on feedback of measurements. The TomoTherapy Planned Adaptive application, integrated to the helical TomoTherapy planning system, enables calculation of actual dose delivered to the patient for each treatment fraction according to the pretreatment megavoltage computed tomography (MVCT) scan and image registration. As a result, new fractionation treatment plans are available if correction is necessary. In order to evaluate the real clinical effect, biological dose is preferred to physical dose. A biological parameter, biologically effective uniform dose (), has the advantages of not only reporting delivered dose but also facilitating the analysis of dose–response relations, which link radiation dose to the clinical effect. Therefore, in this study, four lung patients’ adaptive plans were evaluated using the in addition to physical doses estimated from the TomoTherapy Planned Adaptive module. Higher complication-free tumour control probability (P+) (of about 8%) was observed in patients treated with larger dose-per-fraction by using the in addition to the physical dose. Moreover, a significant increase of 13.2% in the P+ for the adaptive TomoTherapy plan in one of the lung cancer patients was also observed, which indicates the clinical benefit of adaptive TomoTherapy.

Type
Original Article
Copyright
Copyright © Cambridge University Press 2009

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