Predicting neuroendocrine neoplasm grade with dual tracer positron emission tomography/computed tomography (PET/CT) using 18F-fluorodeoxyglucose (18F-FDG) and 18F–AlF-NOTA-octreotide: a lesion-based analysis
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引用次数: 0
Abstract
AIM
The aim of this study was to investigate the ability of dual tracer positron emission tomography/computed tomography (PET/CT) using 18F-fluorodeoxyglucose (18F-FDG) and 18F–AlF-NOTA-octreotide (18F-OC) in predicting neuroendocrine neoplasm (NEN) grade. The lesions that have been histologically confirmed were accurately located using both 18F-FDG and 18F-OC PET/CT.
MATERIALS AND METHODS
For each lesion, the standardized uptake value (SUV)max was measured, and tumor-to-background ratio was calculated by dividing the SUVmax by the SUVmean of background tissue at the two scans. SUVR was calculated by dividing the SUVmax of the lesion at 18F-OC PET/CT by the SUVmax at 18F-FDG PET/CT. For evaluating the correlation between continuous variables and lesion grade, the Spearman rank correlation test was used. Receiver operating characteristic (ROC) curve was used to evaluate the performance of PET/CT parameter in discriminating lesions of different grades.
RESULTS
A total of 49 patients (22 males, 27 females; mean age: 56.5 ± 14.3 years; range: 14–85 years) and 65 lesions were included in this study. A substantial correlation was observed between SUVR and lesion grade (rho = −0.655, p < 0.001), better than other PET/CT parameters. For discriminating G1/2 neuroendocrine tumor (NET) from G3 NET and neuroendocrine carcinoma (NEC), SUVR had the largest area under ROC curve (AUC) of 0.88. With the cut-off value of 2.217, we got the best Youden's index, 0.668. For discriminating G1/2/3 NET from NEC, SUVR and OC SUVmax had the largest AUC of 0.923. With the cut-off value of OC SUVmax of 4.35, we got the best Youden's index, 0.805.
CONCLUSION
This study suggests that 18F-FDG and 18F-OC PET/CT are complementary in evaluating the grade of NEN and that SUVR is a promising tool for predicting NEN grade.
期刊介绍：
Clinical Radiology is published by Elsevier on behalf of The Royal College of Radiologists. Clinical Radiology is an International Journal bringing you original research, editorials and review articles on all aspects of diagnostic imaging, including:
• Computed tomography
• Magnetic resonance imaging
• Ultrasonography
• Digital radiology
• Interventional radiology
• Radiography
• Nuclear medicine
Papers on radiological protection, quality assurance, audit in radiology and matters relating to radiological training and education are also included. In addition, each issue contains correspondence, book reviews and notices of forthcoming events.
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