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Differentiating Benign from Malignant Lung Lesions Using “Quantitative” Parameters of FDG PET Images

医学 放射科 正电子发射断层摄影术 核医学 病理 内科学
作者
Karl F. Hübner,Edward Buonocore,Howard R. Gould,JOE THIE,Gary T. Smith,SHAWN STEPHENS,JENNIFER DICKEY
出处
期刊:Clinical Nuclear Medicine [Lippincott Williams & Wilkins]
卷期号:21 (12): 941-949 被引量:131
标识
DOI:10.1097/00003072-199612000-00005
摘要

Fluorine-18 labeled deoxyglucose positron-emission tomography (FDG-PET) applications in oncology include the differential diagnosis of chest masses and single pulmonary nodules. However, FDG is not tumor-specific; rather, it also accumulates in inflammatory processes. This study was performed to identify image parameters that would improve the specificity of PET.Twenty-six patients who had benign and malignant lung lesions were examined retrospectively. Positron-emission tomography data were acquired in dynamic scanning mode after intravenous bolus of 250-402 MBq of FDG. Standardized uptake values (SUVs) were calculated and Patlak analyses were performed in selected regions of interest in the PET images. Positron-emission tomography results were related to histological diagnosis (N = 49) or clinical follow-up (N = 3).The specificity and sensitivity of the original PET scan reports, which was based on visual image interpretation and loosely applied SUVs, was 100% and 73%, respectively. Using the SUVs with a cut-off value of 3.8 and Kpat value with a cut-off at 0.025 min-1 improved the specificity to 81% and 85%.FDG-PET image interpretation can be facilitated by using SUV information or the accumulation rate of the radiotracer (Patlak). With additional validation, this method could have a significant cost-effective impact on the medical/surgical management of chest masses.

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