Literature DB >> 17967322

Adaptive radiotherapy planning on decreasing gross tumor volumes as seen on megavoltage computed tomography images.

Curtis Woodford1, Slav Yartsev, A Rashid Dar, Glenn Bauman, Jake Van Dyk.   

Abstract

PURPOSE: To evaluate gross tumor volume (GTV) changes for patients with non-small-cell lung cancer by using daily megavoltage (MV) computed tomography (CT) studies acquired before each treatment fraction on helical tomotherapy and to relate the potential benefit of adaptive image-guided radiotherapy to changes in GTV. METHODS AND MATERIALS: Seventeen patients were prescribed 30 fractions of radiotherapy on helical tomotherapy for non-small-cell lung cancer at London Regional Cancer Program from Dec 2005 to March 2007. The GTV was contoured on the daily MVCT studies of each patient. Adapted plans were created using merged MVCT-kilovoltage CT image sets to investigate the advantages of replanning for patients with differing GTV regression characteristics.
RESULTS: Average GTV change observed over 30 fractions was -38%, ranging from -12 to -87%. No significant correlation was observed between GTV change and patient's physical or tumor features. Patterns of GTV changes in the 17 patients could be divided broadly into three groups with distinctive potential for benefit from adaptive planning.
CONCLUSIONS: Changes in GTV are difficult to predict quantitatively based on patient or tumor characteristics. If changes occur, there are points in time during the treatment course when it may be appropriate to adapt the plan to improve sparing of normal tissues. If GTV decreases by greater than 30% at any point in the first 20 fractions of treatment, adaptive planning is appropriate to further improve the therapeutic ratio.

Entities:  

Mesh:

Year:  2007        PMID: 17967322     DOI: 10.1016/j.ijrobp.2007.07.2369

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


  39 in total

1.  Localization accuracy of the clinical target volume during image-guided radiotherapy of lung cancer.

Authors:  Geoffrey D Hugo; Elisabeth Weiss; Ahmed Badawi; Matthew Orton
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-01-27       Impact factor: 7.038

2.  Localization accuracy from automatic and semi-automatic rigid registration of locally-advanced lung cancer targets during image-guided radiation therapy.

Authors:  Scott P Robertson; Elisabeth Weiss; Geoffrey D Hugo
Journal:  Med Phys       Date:  2012-01       Impact factor: 4.071

Review 3.  Balancing risk and reward in target delineation for highly conformal radiotherapy in head and neck cancer.

Authors:  Avraham Eisbruch; Vincent Gregoire
Journal:  Semin Radiat Oncol       Date:  2009-01       Impact factor: 5.934

4.  Biomechanical deformable image registration of longitudinal lung CT images using vessel information.

Authors:  Guillaume Cazoulat; Dawn Owen; Martha M Matuszak; James M Balter; Kristy K Brock
Journal:  Phys Med Biol       Date:  2016-06-08       Impact factor: 3.609

5.  An assessment of cone beam CT in the adaptive radiotherapy planning process for non-small-cell lung cancer patients.

Authors:  Aileen Duffton; Stephen Harrow; Carolynn Lamb; Mark McJury
Journal:  Br J Radiol       Date:  2016-04-07       Impact factor: 3.039

6.  Potential for adaptive dose escalation in radiotherapy for patients with locally advanced non-small-cell lung cancer in a low mid income setting.

Authors:  Sushma Agrawal; Sunil Kumar; Anil K Maurya
Journal:  Br J Radiol       Date:  2017-01-03       Impact factor: 3.039

7.  Proliferation saturation index in an adaptive Bayesian approach to predict patient-specific radiotherapy responses.

Authors:  Enakshi D Sunassee; Dean Tan; Nathan Ji; Renee Brady; Eduardo G Moros; Jimmy J Caudell; Slav Yartsev; Heiko Enderling
Journal:  Int J Radiat Biol       Date:  2019-03-19       Impact factor: 2.694

8.  Evaluation of adaptive treatment planning for patients with non-small cell lung cancer.

Authors:  Hualiang Zhong; Salim M Siddiqui; Benjamin Movsas; Indrin J Chetty
Journal:  Phys Med Biol       Date:  2017-01-10       Impact factor: 3.609

9.  A simplified method of four-dimensional dose accumulation using the mean patient density representation.

Authors:  Carri K Glide-Hurst; Geoffrey D Hugo; Jian Liang; Di Yan
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

10.  The emerging role of IG-IMRT for palliative radiotherapy: a single-institution experience.

Authors:  R Samant; L Gerig; L Montgomery; R Macrae; G Fox; B Nyiri; K Carty; M Macpherson
Journal:  Curr Oncol       Date:  2009-05       Impact factor: 3.677

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.