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Value of image fusion using single photon emission computed tomography with integrated low dose computed tomography in comparison with a retrospective voxel-based method in neuroendocrine tumours
Authors:H. Amthauer  T. Denecke  T. Rohlfing  J. Ruf  M. Böhmig  M. Gutberlet  U. Plöckinger  R. Felix  A. J. Lemke
Affiliation:(1) Klinik für Strahlenheilkunde, Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany;(2) Department of Neurosurgery, Image Guidance Laboratories, Stanford University, Stanford, CA, USA;(3) Medizinische Klinik m.S. Hepatologie und Gastroenterologie, Interdisziplinäres Stoffwechsel-Centrum, Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Berlin, Germany
Abstract:The objective was the evaluation of single photon emission computed tomography (SPECT) with integrated low dose computed tomography (CT) in comparison with a retrospective fusion of SPECT and high-resolution CT and a side-by-side analysis for lesion localisation in patients with neuroendocrine tumours. Twenty-seven patients were examined by multidetector CT. Additionally, as part of somatostatin receptor scintigraphy (SRS), an integrated SPECT–CT was performed. SPECT and CT data were fused using software with a registration algorithm based on normalised mutual information. The reliability of the topographic assignment of lesions in SPECT–CT, retrospective fusion and side-by-side analysis was evaluated by two blinded readers. Two patients were not enrolled in the final analysis because of misregistrations in the retrospective fusion. Eighty-seven foci were included in the analysis. For the anatomical assignment of foci, SPECT–CT and retrospective fusion revealed overall accuracies of 91 and 94% (side-by-side analysis 86%). The correct identification of foci as lymph node manifestations (n=25) was more accurate by retrospective fusion (88%) than from SPECT–CT images (76%) or by side-by-side analysis (60%). Both modalities of image fusion appear to be well suited for the localisation of SRS foci and are superior to side-by-side analysis of non-fused images especially concerning lymph node manifestations.
Keywords:Image fusion  Single photon emission computed tomography  Computed tomography  Neuroendocrine tumour  Somatostatine receptor scintigraphy
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