open access
SPECT-CT fusion: a new diagnostic tool for endocrinology
open access
Abstract
Material and methods: An easy and fast algorithm in terms of computational complexity of image fusion was presented and applied to 81 consecutive cases. Thirty-two patients were scheduled to SPECT-CT fusion after thyroidectomy and 131I treatment for thyroid cancer, twelve after somatostatine receptor scintigraphy, seven after 131I MIBG therapy, six after diagnostic MIBG scintigraphy with 123I or 131I, three after parathyroid scintigraphy and two after bone scan. The most common indication to the fusion was the need of metabolic characterization of suspected lesions detected on CT scan. The anatomic localization of a focal uptake seen on SPECT and the evaluation of the radiometabolic therapy effect folloved.
Results: A variance of error level observed was a result of human factor, decision on marker’s placement, respiratory movements and marker’s displacement between acquisitions. However, 74% of patients in our series have fusion results classified as "very good" or "good".
Conclusions: The selection of patients, the training of the personel and the cooperation with radiologists are the most important factors for a correct application and interpretation of the SPECT-CT image fusion.
Abstract
Material and methods: An easy and fast algorithm in terms of computational complexity of image fusion was presented and applied to 81 consecutive cases. Thirty-two patients were scheduled to SPECT-CT fusion after thyroidectomy and 131I treatment for thyroid cancer, twelve after somatostatine receptor scintigraphy, seven after 131I MIBG therapy, six after diagnostic MIBG scintigraphy with 123I or 131I, three after parathyroid scintigraphy and two after bone scan. The most common indication to the fusion was the need of metabolic characterization of suspected lesions detected on CT scan. The anatomic localization of a focal uptake seen on SPECT and the evaluation of the radiometabolic therapy effect folloved.
Results: A variance of error level observed was a result of human factor, decision on marker’s placement, respiratory movements and marker’s displacement between acquisitions. However, 74% of patients in our series have fusion results classified as "very good" or "good".
Conclusions: The selection of patients, the training of the personel and the cooperation with radiologists are the most important factors for a correct application and interpretation of the SPECT-CT image fusion.
Keywords
image fusion; SPECT-CT; multimodality coregistration


Title
SPECT-CT fusion: a new diagnostic tool for endocrinology
Journal
Issue
Article type
Original paper
Pages
71-74
Published online
2006-09-25
Page views
587
Article views/downloads
1136
Keywords
image fusion
SPECT-CT
multimodality coregistration
Authors
Andrea d’Amico
Katarzyna Szczucka
Damian Borys
Kamil Gorczewski
Katarzyna Steinhof