DocumentCode
2811781
Title
FDG-PET/CT integration: impact on tumour localization and dose volume histograms in radiation therapy
Author
Caldwell, Curtis B. ; Mah, Katherine ; Ung, Yee C. ; Danjoux, C.E. ; Balogh, J.M.
Author_Institution
Dept. of Med. Imaging, Toronto Univ., Ont., Canada
Volume
2
fYear
2000
fDate
2000
Firstpage
1051
Abstract
Conventional radiotherapy for non-small cell lung cancer (NSCLC) is often unable to achieve local control. For this reason, 3DCRT with dose escalation is being investigated as a means of improving outcome. It is essential to accurately define the gross tumour volume (GTV) for 3DCRT to succeed. Unfortunately, anatomic imaging techniques such as CT or MRI are often unable to distinguish tumour from normal tissue. Functional imaging with 18F-FDG PET has the potential to define the GTV more accurately. A prospective study of the use of FDG-hybrid-PET images fused to CT simulation images in radiotherapy treatment planning for NSCLC is described. In a significant fraction of cases, the addition of functional information produces dramatic changes both in the GTV and in dose volume histograms for normal tissues
Keywords
cancer; computerised tomography; diagnostic radiography; image registration; lung; medical image processing; positron emission tomography; radiation therapy; tumours; 3D conformal radiation therapy; 18F-fluorodeoxyglucose PET; CT simulation images; FDG-PET/CT integration; FDG-hybrid-PET images; dose escalation; dose volume histograms; functional imaging; gross tumour volume; image coregistration; image fusion; nonsmall cell lung cancer; radiotherapy treatment planning; tumour localization; Cancer; Computed tomography; Histograms; Lungs; Lymph nodes; Magnetic resonance imaging; Medical treatment; Optical imaging; Positron emission tomography; Tumors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1094-687X
Print_ISBN
0-7803-6465-1
Type
conf
DOI
10.1109/IEMBS.2000.897907
Filename
897907
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