Dual-phase18F-FDG coincidence detection SPECT/CT imaging for differential diagnosis of pulmonary lesions / 中国癌症杂志
China Oncology
;
(12): 866-869, 2016.
Artículo
en Chino
| WPRIM
| ID: wpr-501581
ABSTRACT
Background and purpose:
Although FDG tumor imaging has been applied in clinic widely, dual-phase imaging can provide much more information about the FDG uptaking of pulmonary lesions. The purpose of the study was to evaluate the usefulness of dual-phase18F-FDG coincidence detection SPECT/CT imaging in the differential diagnosis of the pulmonary lesions.Methods:
There were 28 patients with pulmonary lesions which were detected by CT. All the patients undertook the SPECT/CT imaging at 2 time-phases respectively early imaging at 40-60 min and delayed imaging at 2-3 h after the intravenous injection of FDG. Data processing calculating the radio of T and N in early and delayed imaging respectively; T The radioactive count of the lesions; N The radioactive count of the normal tissue; and the change rateΔT/N. ROC was used to ifnd out the threshold of T1/N1, T2/N2及ΔT/N in the differential diagnosis between benign and malignant lesions. AUC was used to evaluate the diagnosis value of the dual-phase and single-phase imaging.Results:
The threshold of T1/N1 in early imaging was 2.65, whereas AUC was 0.767. The sensitivity, speciifcity and accuracy were 83.3%, 30% and 64.3%, respectively. The threshold of T2/N2 in delayed imaging was 3.14, whereas AUC was 0.847. The sensitivity, speciifcity and accuracy were 94.4%, 60.0% and 82.1%, respectively. The threshold ofΔT/N in delayed imaging was 16.9%, whereas AUC is 0.950. The sensitivity, speciifcity and accuracy were 88.5%, 71.4% and 86.2%, respectively.Conclusion:
Dual-phase18F-FDG coincidence detection SPECT/CT imaging has much higher accuracy and speciifcity. However it still has false positivity, and should be analyzed with CT and clinical history.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio diagnóstico
Idioma:
Chino
Revista:
China Oncology
Año:
2016
Tipo del documento:
Artículo
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