Literature DB >> 8641907

Improving treatment planning accuracy through multimodality imaging.

S L Sailer1, J G Rosenman, M Soltys, T J Cullip, J Chen.   

Abstract

PURPOSE: In clinical practice, physicians are constantly comparing multiple images taken at various times during the patient's treatment course. One goal of such a comparison is to accurately define the gross tumor volume (GTV). The introduction of three-dimensional treatment planning has greatly enhanced the ability to define the GTV, but there are times when the GTV is not visible on the treatment-planning computed tomography (CT) scan. We have modified our treatment-planning software to allow for interactive display of multiple, registered images that enhance the physician's ability to accurately determine the GTV. METHODS AND MATERIALS: Images are registered using interactive tools developed at the University of North Carolina at Chapel Hill (UNC). Automated methods are also available. Images registered with the treatment-planning CT scan are digitized from film. After a physician has approved the registration, the registered images are made available to the treatment-planning software. Structures and volumes of interest are contoured on all images. In the beam's eye view, wire loop representations of these structures can be visualized from all image types simultaneously. Each registered image can be seamlessly viewed during the treatment-planning process, and all contours from all image types can be seen on any registered image. A beam may, therefore, be designed based on any contour.
RESULTS: Nineteen patients have been planned and treated using multimodality imaging from November 1993 through August 1994. All registered images were digitized from film, and many were from outside institutions. Brain has been the most common site (12), but the techniques of registration and image display have also been used for the thorax (4), abdomen (2), and extremity (1). The registered image has been an magnetic resonance (MR) scan in 15 cases and a diagnostic CT scan in 5 cases. In one case, sequential MRs, one before treatment and another after 30 Gy, were used to plan patient's initial fields and boost, respectively. Case illustrations are shown.
CONCLUSIONS: We have successfully integrated multimodality imaging into our treatment-planning system, and its routine use is increasing. Multimodality imaging holds out the promise of improving treatment planning accuracy and, thus, takes maximum advantage of three dimensional treatment planning systems.

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Mesh:

Year:  1996        PMID: 8641907     DOI: 10.1016/s0360-3016(96)85019-x

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


  3 in total

1.  Properties of noise in positron emission tomography images reconstructed with filtered-backprojection and row-action maximum likelihood algorithm.

Authors:  A Teymurazyan; T Riauka; H-S Jans; D Robinson
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

2.  CT- and MRI-based gross target volume comparison in vestibular schwannomas.

Authors:  Bhudevi Soubhagya N Kulkarni; Harjot Bajwa; Mukka Chandrashekhar; Sunil Dutt Sharma; Rohith Singareddy; Dileep Gudipudi; Shabbir Ahmad; Alok Kumar; N V N Madusudan Sresty; Alluri Krishnam Raju
Journal:  Rep Pract Oncol Radiother       Date:  2017-04-22

3.  Comparison of three image segmentation techniques for target volume delineation in positron emission tomography.

Authors:  Laura A Drever; Wilson Roa; Alexander McEwan; Don Robinson
Journal:  J Appl Clin Med Phys       Date:  2007-03-09       Impact factor: 2.102

  3 in total

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