Benign and malignant pulmonary lesions usually are differentiated by 18F-FDG PET with a semiquantitative 18F-FDG standardized uptake value (SUV) of 2.5. However, the frequency of malignancie'/> Accuracy of PET for Diagnosis of Solid Pulmonary Lesions with 18F-FDG Uptake Below the Standardized Uptake Value of 2.5
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Accuracy of PET for Diagnosis of Solid Pulmonary Lesions with 18F-FDG Uptake Below the Standardized Uptake Value of 2.5

机译:PET用于18F-FDG摄取低于标准摄取值2.5的固体肺病变的诊断准确性

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id="p-1">Benign and malignant pulmonary lesions usually are differentiated by 18F-FDG PET with a semiquantitative 18F-FDG standardized uptake value (SUV) of 2.5. However, the frequency of malignancies with an SUV of 2.5 is significant, and pulmonary nodules with low 18F-FDG uptake often present diagnostic challenges. >Methods: Among 360 consecutive patients who underwent 18F-FDG PET to evaluate pulmonary nodules found on CT, we retrospectively analyzed 43 who had solid pulmonary lesions (excluding lesions with ground-glass opacity, infiltration, or benign calcification) with an SUV of 2.5. The uptake of 18F-FDG was graded by a visual method (absent, faint, moderate, or intense) and 2 semiquantitative methods (SUV and contrast ratio [CR]). Final classification was based on histopathologic findings or at least 6 mo of clinical follow-up. >Results: We found 16 malignant (diameter, 8-32 mm) and 27 benign (7-36 mm) lesions. When faint visual uptake was the cutoff for positive 18F-FDG PET results, the receiver-operating-characteristic (ROC) analysis correctly identified all 16 malignancies and yielded false-positive results for 10 of 27 benign lesions. Sensitivity was 100%, specificity was 63%, and the positive and negative predictive values were 62% and 100%, respectively. When an SUV of 1.59 was the cutoff for positive 18F-FDG PET results, the ROC analysis revealed 81% sensitivity, 85% specificity, and positive and negative predictive values of 77% and 89%, respectively. At a cutoff for positive 18F-FDG PET results of a CR of 0.29, the ROC analysis revealed 75% sensitivity, 82% specificity, and positive and negative predictive values of 71% and 85%, respectively. The areas under the curve in ROC analyses did not differ significantly among the 3 analyses (visual, 0.84; SUV, 0.81; and CR, 0.82). Analyses of intra- and interobserver variabilities indicated that visual and SUV analyses were quite reproducible, whereas CR analysis was poorly reproducible. >Conclusion: These results suggested that for solid pulmonary lesions with low 18F-FDG uptake, semiquantitative approaches do not improve the accuracy of 18F-FDG PET over that obtained with visual analysis. Pulmonary lesions with visually absent uptake indicate that the probability of malignancies is very low. In contrast, the probability of malignancy in any visually evident lesion is about 60%.
机译:id =“ p-1”>良性和恶性肺部病变通常通过具有半定量 18 F-FDG标准化摄取值(SUV)的 18 F-FDG PET进行区分)的2.5。然而,SUV <2.5的恶性肿瘤的发生频率非常高, 18 F-FDG摄取量低的肺结节常常带来诊断挑战。 >方法:在连续进行了 18 F-FDG PET检查以评估CT上发现的肺结节的360例患者中,我们回顾性分析了43例实体肺部病变(不包括地面病变)。 SUV小于2.5的玻璃不透明,渗透或良性钙化)。 18 F-FDG的摄取通过视觉方法(不存在,模糊,中等或强烈)和2种半定量方法(SUV和对比度[CR])进行分级。最终分类基于组织病理学发现或至少6个月的临床随访。 >结果:我们发现了16例恶性肿瘤(直径8-32毫米)和27例良性肿瘤(7-36毫米)。当 18 F-FDG PET阳性结果的视线摄取不明显时,接受者操作特征(ROC)分析可以正确识别所有16例恶性肿瘤,并且对27个良性病变中的10个产生假阳性结果。敏感性为100%,特异性为63%,阳性和阴性预测值分别为62%和100%。当SUV为<9> 18 F-FDG PET阳性结果的临界值时,ROC分析显示81%的敏感性,85%的特异性以及阳性和阴性的预测值分别为77%和89% 。在 18 F-FDG PET阳性结果的截止值为0.29时,ROC分析显示敏感性为75%,特异性为82%,阳性和阴性预测值分别为71%和85%。 。在3个分析中,ROC分析中曲线下的面积没有显着差异(视觉为0.84; SUV为0.81; CR为0.82)。观察者内和观察者间差异的分析表明,视觉和SUV分析的重现性很好,而CR分析的重现性很差。 >结论:这些结果表明,对于 18 F-FDG摄取量低的实体肺部病变,半定量方法不能提高 18 F-F-的准确性。 FDG PET超过通过视觉分析获得的结果。视觉上无摄取的肺部病变表明恶性肿瘤的可能性非常低。相反,在任何视觉上可见的病变中,恶性的可能性约为60%。

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