Suppr超能文献

传染病流行地区孤立性肺结节的评估:区域差异是否会影响氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描的有效性?

Solitary pulmonary nodule evaluation in regions endemic for infectious diseases: Do regional variations impact the effectiveness of fluorodeoxyglucose positron emission tomography/computed tomography.

作者信息

Purandare N C, Pramesh C S, Agarwal J P, Agrawal A, Shah S, Prabhash K, Karimundackal G, Jiwnani S, Tandon S, Rangarajan V

机构信息

Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Centre, Mumbai, Maharashtra, India.

Department of Surgical Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India.

出版信息

Indian J Cancer. 2017 Jan-Mar;54(1):271-275. doi: 10.4103/0019-509X.219563.

Abstract

BACKGROUND

Fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) has become a preferred imaging modality for the evaluation of solitary pulmonary nodule (SPN), particularly in the developed world. Since FDG can concentrate in infective/inflammatory lesions, the diagnostic utility of FDG-PET can be questioned, particularly in regions endemic for infectious decisions.

AIM

To evaluate the accuracy of FDG-PET/CT in evaluation of SPNs in a population endemic for infectious disease and to assess if regional variations have an impact on its effectiveness.

MATERIALS AND METHODS

All patients who underwent an FDG/PET-CT with a clinico-radiological diagnosis of SPN categorized as indeterminate were included. Based on a maximum standardized uptake values (SUVmax) cut-off of 2.5, lesions were classified as benign (<2.5) or malignant (>2.5) and compared with gold standard histopathology. The diagnostic accuracy of PET-CT to detect malignancy was calculated. On the basis of final histopathology, lesions were grouped as (a) malignant nodules (b) infective/granulomatous nodules with a specific diagnosis and (c) nonspecific inflammatory nodules. The SUVmaxbetween these groups was compared using nonparametric statistical tests.

RESULTS

A total of 191 patients (129 males, 62 females) with a median age of 64 years (range: 36-83) were included. Totally, 144 nodules (75.3%) were malignant and 47 were benign (24.7%). Adenocarcinoma (n = 84) was the most common malignancy. Tuberculosis (n = 16) and nonspecific infections (n = 24) were the two most common benign pathologies. There was a significant overlap in the metabolic uptake of malignant (median SUVmax-11.2, range: 3.3-34.6) and tuberculous nodules (median SUVmax-10.3, range: 2.7-22.5) with no statistically difference between their SUVmaxvalues (P = 0.43). The false-positive rate was 65.2% and the false-negative rate was 5.5%. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of FDG-PET/CT for detecting malignancy were 94.4%, 34.7%, 81.9%, 66.6%, and 79.5%, respectively.

CONCLUSIONS

Though FDG-PET scans show a very high sensitivity for malignant nodules, it has a high false-positive rate and reduced specificity when characterizing SPNs in an infectious endemic region. Physicians must be aware of this limitation in the workup of lung nodules, and regional variations must be considered before further management decisions are taken.

摘要

背景

氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描(FDG-PET/CT)已成为评估孤立性肺结节(SPN)的首选成像方式,尤其是在发达国家。由于FDG可在感染性/炎性病变中聚集,FDG-PET的诊断效用可能受到质疑,特别是在传染病流行地区。

目的

评估FDG-PET/CT在传染病流行人群中评估SPN的准确性,并评估区域差异是否对其有效性有影响。

材料与方法

纳入所有经临床放射学诊断为SPN且分类为不确定的接受FDG/PET-CT检查的患者。基于最大标准化摄取值(SUVmax)截断值2.5,将病变分为良性(<2.5)或恶性(>2.5),并与金标准组织病理学进行比较。计算PET-CT检测恶性肿瘤的诊断准确性。根据最终组织病理学,将病变分为(a)恶性结节(b)有特定诊断的感染性/肉芽肿性结节和(c)非特异性炎性结节。使用非参数统计检验比较这些组之间的SUVmax。

结果

共纳入191例患者(男性129例,女性62例),中位年龄64岁(范围:36-83岁)。总共有144个结节(75.3%)为恶性,47个为良性(24.7%)。腺癌(n = 84)是最常见的恶性肿瘤。结核病(n = 16)和非特异性感染(n = 24)是两种最常见的良性病变。恶性结节(中位SUVmax-11.2,范围:3.3-34.6)和结核结节(中位SUVmax-10.3,范围:2.7-22.5)的代谢摄取有显著重叠,其SUVmax值之间无统计学差异(P = 0.43)。假阳性率为65.2%,假阴性率为5.5%。FDG-PET/CT检测恶性肿瘤的敏感性、特异性、阳性预测值、阴性预测值和准确性分别为94.4%、34.7%、81.9%、66.6%和79.5%。

结论

尽管FDG-PET扫描对恶性结节显示出非常高 的敏感性,但在传染病流行地区对SPN进行特征性诊断时具有较高的假阳性率和较低的特异性。医生在肺结节检查中必须意识到这一局限性,在做出进一步管理决策之前必须考虑区域差异。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验