Ly John, Minarik David, Edenbrandt Lars, Wollmer Per, Trägårdh Elin
Department of Radiology, Kristianstad Hospital, Kristianstad, Sweden.
Department of Translational Medicine, Lund University, Malmö, Sweden.
EJNMMI Res. 2019 Jul 25;9(1):65. doi: 10.1186/s13550-019-0536-3.
The Deauville score (DS) is a clinical tool, based on the comparison between lesion and reference organ uptake of F-fluorodeoxyglucose (FDG), used to stratify patients with lymphoma into categories reflecting their disease status. With a plethora of positron emission tomography with computed tomography (PET-CT) hard- and software algorithms, standard uptake value (SUV) in lesions and reference organs may differ which affects DS classification and therefore medical treatment. The EANM Research Ltd. (EARL) harmonization program from the European Association of Nuclear Medicine (EANM) partly mitigates this issue, but local preferences are common in clinical practice. We have investigated the discordance in DS calculated from patients with lymphoma referred for F-FDG PET-CT reconstructed with three different algorithms: the newly introduced block-sequential regularization expectation-maximization algorithm commercially sold as Q. Clear (QC, GE Healthcare, Milwaukee, WI, USA), compliant with the newly proposed updated EARL recommendations, and two settings compliant with the current EARL recommendations (EARL and EARL, representing the lower and upper limit of the EARL recommendations).
Fifty-two patients with non-Hodgkin and Hodgkin lymphoma were included (18 females and 34 males). Segmentation of mediastinal blood pool and liver were semi-automatically performed, whereas segmentation of lesions was done manually. From these segmentations, SUV and SUV were obtained and DS calculated.
There was a significant difference in DS between the QC algorithm and EARL/EARL (p < 0.0001 for both) but not between EARL and EARL (p = 0.102) when SUV was used. For SUV, there was a significant difference between QC and EARL (p = 0.001), but not for QC vs EARL (p = 0.071) or EARL vs EARL (p = 0.102). Five non-responders (DS 4-5) for QC were classified as responders (DS 1-3) when EARL/EARL was used, both when SUV and SUV were investigated.
Using the proposed updated EARL recommendations compared with the current recommendations will significantly change DS classification. In select cases, the discordance would affect the choice of medical treatment. Specifically, the current EARL recommendations were more often prone to classify patients as responders.
多维尔评分(DS)是一种临床工具,基于病变与氟脱氧葡萄糖(FDG)参考器官摄取量的比较,用于将淋巴瘤患者分层为反映其疾病状态的类别。由于正电子发射断层扫描与计算机断层扫描(PET-CT)有大量的硬件和软件算法,病变和参考器官中的标准摄取值(SUV)可能不同,这会影响DS分类,进而影响医疗治疗。欧洲核医学协会(EANM)的EANM研究有限公司(EARL)协调计划部分缓解了这个问题,但在临床实践中,局部偏好很常见。我们研究了用三种不同算法重建的F-FDG PET-CT检查的淋巴瘤患者计算出的DS之间的不一致性:新推出的块序贯正则化期望最大化算法,商业上称为Q.Clear(QC,通用电气医疗集团,美国威斯康星州密尔沃基),符合新提出的更新后的EARL建议,以及两种符合当前EARL建议的设置(EARL和EARL,分别代表EARL建议的下限和上限)。
纳入52例非霍奇金淋巴瘤和霍奇金淋巴瘤患者(18例女性和34例男性)。纵隔血池和肝脏的分割采用半自动方式进行,而病变的分割则手动完成。从这些分割中,获得SUV和SUV并计算DS。
当使用SUV时,QC算法与EARL/EARL之间的DS有显著差异(两者p均<0.0001),但EARL与EARL之间无显著差异(p = 0.102)。对于SUV,QC与EARL之间有显著差异(p = 0.001),但QC与EARL之间(p = 0.071)或EARL与EARL之间(p = 0.102)无显著差异。当使用EARL/EARL时,无论研究SUV还是SUV,QC的5例无反应者(DS 4-5)均被分类为反应者(DS 1-3)。
与当前建议相比,使用提议的更新后的EARL建议将显著改变DS分类。在某些情况下,不一致性会影响医疗治疗的选择。具体而言,当前的EARL建议更倾向于将患者分类为反应者。