背景:结外(EN)淋巴瘤涉及淋巴结(LN)以外的部位,脾,脾胸腺,和咽部淋巴环.LN的最高标准化摄取值(SUV)max可以帮助诊断因炎症或感染引起的EN部位淋巴瘤浸润,尤其是在没有对比增强计算机断层扫描(CT)变化的情况下。
目的:这项研究的目的是发现绝对SUVmax与纵隔血池(mbSUVmax)和肝脏(lvSUVmax)标准化SUVmax之间的相关性在原发性和继发性非霍奇金淋巴瘤和霍奇金淋巴瘤患者中最多的氟脱氧葡萄糖(FDG)。
方法:这是一项回顾性研究,对70例经组织病理学证实的淋巴瘤患者进行了18F-FDG正电子发射断层扫描CT进行了治疗前分期。
方法:图像用于检测疾病的EN部位和纵隔血池的SUVmax,肝脏,最高SUVmaxLN,并计算了最高SUVmaxEN位点。
方法:KarlPearson的相关系数(r)用于关联LN和EN位点的最高SUV最大值以及相应的最高血池校正和肝脏校正的SUV最大值。鉴于样本量小,对5%和10%显著性的配对样品进行t检验以验证发现。独立样品的双尾t检验也用于比较根据性别和淋巴瘤亚型(非霍奇金淋巴瘤和霍奇金淋巴瘤)分组的数据之间的SUVmax值的平均值。
结果:r=0.54对于最高LNSUVmax-最高ENSUVmax值,并在5%和10%的显著性水平下通过单尾和双尾配对t检验进一步验证,P=0.00052和0.00103,分别表示显著正相关和中等相关。对于最高LNlvSUVmax-最高ENvSUVmax,r=0.59,P=0.00032和0.00065显示正相关和中度相关。对于最高LNmbSUVmax-最高ENmbSUVmax值,r=0.82,P=0.00034和0.00068显示出正相关且强相关。
结论:nodal和ENmbsUVmax之间存在显著的正相关和强相关。这比节点和EN绝对SUVmax和lvSUVmax之间的相关性更强。由于病变SUVmax与参考组织的正常化降低了SUV的变异性,这可能是确定EN位点的高SUVmax是否归因于淋巴瘤浸润的有用辅助手段.
BACKGROUND: Extranodal (EN) lymphomas involve sites other than lymph nodes (LNs), spleen, thymus, and the pharyngeal lymphatic ring. The highest standardized uptake value (SUV) max of the LN can aid in the diagnosis of EN site lymphomatous infiltrations over inflammation or infection especially when there are no contrast-enhanced computed tomography (CT) changes.
OBJECTIVE: The purpose of this study was to find the significance of correlation between absolute SUVmax and mediastinal blood pool (mbSUVmax) and liver (lvSUVmax) normalized SUVmax of EN sites and the most fluorodeoxyglucose (FDG) avid LN in patients with primary and secondary EN involvement in Non-Hodgkin\'s and Hodgkin\'s Lymphoma.
METHODS: This was a retrospective study of 70 patients with histopathologically proven lymphoma in whom 18F-FDG positron emission tomography CT was performed for pretherapy staging.
METHODS: Images were used to detect EN sites of disease and SUVmax of mediastinal blood pool, liver, highest SUVmax LN, and highest SUVmax EN site were calculated.
METHODS: Karl Pearson\'s coefficient of correlation (r) was used to correlate the highest SUV max of LN and EN site and corresponding highest blood pool corrected and liver corrected SUV max. In view of small sample size, t-test for paired samples at 5% and 10% significance was conducted to validate the findings. Two-tailed t-test for independent samples was also used to compare means of SUVmax values between data grouped according to gender and lymphoma subtype (Non-Hodgkin lymphoma and Hodgkin lymphoma).
RESULTS: r = 0.54 for the highest LN SUVmax-highest EN SUVmax values and on further validation by one- and two-tailed paired t-test at significance levels of 5% and 10%, P = 0.00052 and 0.00103 respectively which denoted significant positive and moderate correlation. r = 0.59 for highest LN lvSUVmax-highest EN vSUVmax and P = 0.00032 and 0.00065 showing positive and moderate correlation. r = 0 0.82 for highest LN mbSUVmax-highest EN mbSUVmax values and P = 0.00034 and 0.00068 revealing positive and strong correlation.
CONCLUSIONS: Significant positive and strong correlation exists between nodal and EN mbsUVmax. This is stronger than the correlation between nodal and EN absolute SUVmax and lvSUVmax. Since normalization of lesion SUVmax to reference tissues reduces the variability of SUV, this can be a useful adjunct to determine whether high SUVmax of the EN site is due to lymphomatous infiltration.