Literature DB >> 11146045

Incorporating functional imaging information into radiation treatment.

J Rosenman1.   

Abstract

Three-dimensional treatment planning systems allow the clinician to define tumor and normal anatomy of computed tomograpy (CT) scans and project the result onto a digitally reconstructed radiograph (DRR) for comparison with a simulation or portal film. Unfortunately, the CT scan does not always show the tumor accurately. First, the tumor may have either been removed surgically, or cytoreduced with chemotherapy before the treatment planning scan was taken. Or, the planning CT may not be the ideal imaging modality for a particular tumor, magnetic resonance imaging (MRI) or positron-emission tomography (PET) being much better. In either case, the nonplanning images provide more reliable data as to the position and extent of tumor than do the CT. A 3D/3D registration between the diagnostic and planning image must then be performed to make the data from both images available for the planning process. Methods of performing accurate 3D/3D registration of dissimilar images have been studied extensively by experts in image processing, but the techniques have not yet been fully adopted by the medical community. In addition, there is no standard way of dealing with the multiple tumor volumes that will be generated by full multimodality treatment planning. This article ends with speculation as to the extent to which multimodality image-based treatment planning can improve cancer treatment rates. New imaging modalities such as magnetic resonance spectroscopy, PET, or functional imaging, tuned to the particular tumor type, might reveal more than just the gross tumor volume seen on CT or MRI. One could imagine radiation treatment to many sites in the body under image guidance that would result in cure of metastatic disease, should the cancer be confined to a reasonable number of discrete sites. Copyright 2001 by W.B. Saunders Company

Entities:  

Mesh:

Year:  2001        PMID: 11146045     DOI: 10.1053/srao.2001.18155

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  4 in total

1.  The role of molecular imaging in precision radiation therapy for target definition, treatment planning optimisation and quality control.

Authors:  Giovanni Lucignani; Barbara A Jereczek-Fossa; Roberto Orecchia
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-03-30       Impact factor: 9.236

2.  Radiotherapy planning: PET/CT scanner performances in the definition of gross tumour volume and clinical target volume.

Authors:  Ernesto Brianzoni; Gloria Rossi; Sergio Ancidei; Alfonso Berbellini; Francesca Capoccetti; Carla Cidda; Paola D'Avenia; Sara Fattori; Gian Carlo Montini; Gianluca Valentini; Alfredo Proietti; Carlo Algranati
Journal:  Eur J Nucl Med Mol Imaging       Date:  2005-08-26       Impact factor: 9.236

3.  Accelerated 4D quantitative single point EPR imaging using model-based reconstruction.

Authors:  Hyungseok Jang; Shingo Matsumoto; Nallathamby Devasahayam; Sankaran Subramanian; Jiachen Zhuo; Murali C Krishna; Alan B McMillan
Journal:  Magn Reson Med       Date:  2014-05-06       Impact factor: 4.668

4.  Multimodality image fusion in dose escalation studies of brain tumors.

Authors:  D Rajasekar; N R Datta; R K Gupta; P K Pradhan; S Ayyagari
Journal:  J Appl Clin Med Phys       Date:  2003       Impact factor: 2.102

  4 in total

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