Detection of metastases from gastrointestinal neuroendocrine tumors: prospective comparison of 18F-TOCA PET, triple-phase CT, and PET/CT
Autor: | Marcus D. Seemann |
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Rok vydání: | 2007 |
Předmět: |
Male
Cancer Research medicine.medical_specialty Whole body imaging Computed tomography Fructose Neuroendocrine tumors Peptides Cyclic Metastasis 03 medical and health sciences 0302 clinical medicine medicine Humans Gastrointestinal Neoplasms Gastrointestinal Neuroendocrine Tumor PET-CT medicine.diagnostic_test business.industry medicine.disease Neuroendocrine Tumors Oncology Positron emission tomography 030220 oncology & carcinogenesis Positron-Emission Tomography Female Radiology Radiopharmaceuticals Nuclear medicine business Tomography X-Ray Computed |
Zdroj: | Technology in cancer researchtreatment. 6(3) |
ISSN: | 1533-0346 |
Popis: | The purpose of the investigation was to assess positron emission tomography (PET), computed tomography (CT) and the image fusion of PET and CT (PET/CT) in the detection of metastases from gastrointestinal neuroendocrine tumors. In a prospective study, thirty-one patients were consecutively examined using a state-of-the-art PET/CT. PET was performed with a carbohydrated F-18-labeled somatostatin receptor ligand (Gluc-Lys([18F]FP-TOCA) from the base of the skull to the proximal thigh using a Pico-3D PET scanner. CT was performed with a noncontrast low-dose CT (LD-CT) and a venous-dominant contrast-enhanced CT (VD-CT) from the base of the skull to the proximal thigh and a hepatic arterial-dominant contrast-enhanced CT (AD-CT) from the epigastric region using a 16-slice CT. The data sets from PET and CT (LD-CT and VD-CT) were fused automatically. To assess a relative sensitivity of each imaging modality, the total number of metastases by summing the number of metastases depicted for each patient by the highest sensitive modality was used as reference standard. PET, LD-CT, AD-CT, VD-CT, PET/LD-CT and PET/VD-CT showed a lesion-by-lesion based overall detection rate for liver metastases (n=858) of 90.8% (P |
Databáze: | OpenAIRE |
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