Literature DB >> 19215819

Strategies for biologic image-guided dose escalation: a review.

Aste Søvik1, Eirik Malinen, Dag Rune Olsen.   

Abstract

There is increasing interest in how to incorporate functional and molecular information obtained by noninvasive, three-dimensional tumor imaging into radiotherapy. The key issues are to identify radioresistant regions that can be targeted for dose escalation, and to develop radiation dose prescription and delivery strategies providing optimal treatment for the individual patient. In the present work, we review the proposed strategies for biologic image-guided dose escalation with intensity-modulated radiation therapy. Biologic imaging modalities and the derived images are discussed, as are methods for target volume delineation. Different dose escalation strategies and techniques for treatment delivery and treatment plan evaluation are also addressed. Furthermore, we consider the need for response monitoring during treatment. We conclude with a summary of the current status of biologic image-based dose escalation and of areas where further work is needed for this strategy to become incorporated into clinical practice.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19215819     DOI: 10.1016/j.ijrobp.2008.11.001

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


  20 in total

Review 1.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

Review 2.  Positron emission tomography imaging approaches for external beam radiation therapies: current status and future developments.

Authors:  P M Price; M M Green
Journal:  Br J Radiol       Date:  2011-03-22       Impact factor: 3.039

3.  Dosimetry study of 18F-FMISO + PET/CT hypoxia imaging guidance on intensity-modulated radiation therapy for non-small cell lung cancer.

Authors:  H Li; D Xu; X Han; Q Ruan; X Zhang; Y Mi; M Dong; S Guo; Y Lin; B Wang; G Li
Journal:  Clin Transl Oncol       Date:  2018-04-05       Impact factor: 3.405

Review 4.  Biological imaging in clinical oncology: radiation therapy based on functional imaging.

Authors:  Yo-Liang Lai; Chun-Yi Wu; K S Clifford Chao
Journal:  Int J Clin Oncol       Date:  2016-07-06       Impact factor: 3.402

5.  Strategies to optimize radiotherapy based on biological responses of tumor and normal tissue.

Authors:  Weidong Wang; Jinyi Lang
Journal:  Exp Ther Med       Date:  2012-05-30       Impact factor: 2.447

Review 6.  Personalized radiotherapy treatment planning based on functional imaging.

Authors:  Malgorzata Skórska; Tomasz Piotrowski
Journal:  Rep Pract Oncol Radiother       Date:  2017-05-15

Review 7.  Imaging hypoxia to improve radiotherapy outcome.

Authors:  Michael R Horsman; Lise Saksø Mortensen; Jørgen B Petersen; Morten Busk; Jens Overgaard
Journal:  Nat Rev Clin Oncol       Date:  2012-11-13       Impact factor: 66.675

Review 8.  Functional and molecular image guidance in radiotherapy treatment planning optimization.

Authors:  Shiva K Das; Randall K Ten Haken
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

9.  Dosimetric feasibility of real-time MRI-guided proton therapy.

Authors:  M Moteabbed; J Schuemann; H Paganetti
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

Review 10.  Contribution of hypoxia-measuring molecular imaging techniques to radiotherapy planning and treatment.

Authors:  Carlos Ferrer Albiach; Antonio Conde Moreno; Marta Rodríguez Cordón; Virginia Morillo Macías; Ana Bouché Babiloni; Inmaculada Beato Tortajada; Angel Sánchez Iglesias; Alicia Francés Muñoz
Journal:  Clin Transl Oncol       Date:  2010-01       Impact factor: 3.405

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.