Department of Hematology, The First Hospital of Jilin University, Changchun 130021, PR China.
Department of Hematology, The First Hospital of Jilin University, Changchun 130021, PR China.
Photodiagnosis Photodyn Ther. 2024 Aug;48:104260. doi: 10.1016/j.pdpdt.2024.104260. Epub 2024 Jun 29.
To assess the accuracy of Raman spectroscopy in distinguishing between patients with leukemia and healthy individuals.
PubMed, Embase, Web of Science, Cochrane Library, and CNKI databases were searched for relevant articles published from inception of the respective database to November 1, 2023. The pooled sensitivity (SEN), specificity (SPE), diagnostic odds ratio (DOR), positive likelihood ratio (PLR), negative likelihood ratio (NLR), were calculated along with their corresponding 95 % confidence intervals (CI). A summary comprehensive receiver operating characteristic curve (SROC) was constructed and the area under the curve (AUC) was calculated. The degree of heterogeneity was tested and analyzed.
Fifteen groups of original studies from 13 articles were included. The pooled SEN and SPE were 0.93 (95 % CI, [0.92 -0.93]) and 0.91(95 % CI, [0.90-0.92]), respectively. The DOR was 613.01 (95 %CI, [270.79-1387.75]), and the AUC was 0.99. The Deeks' funnel plot asymmetry test indicated no significant publication bias among the included studies (bias coefficient, 40.80; P = 0.13 < 0.10). The meta-regression analysis findings indicated that the observed heterogeneity could be attributed to variations in sample categories and Raman spectroscopy techniques.
We confirmed that Raman spectroscopy has good accuracy in differentiating patients with leukemia from healthy individuals, and may become a means of leukemia screening in clinical practice. In the case of analysis based on live cells using surface-enhanced Raman spectroscopy (SERS) improved diagnostic efficacy was observed.
评估拉曼光谱在区分白血病患者和健康个体方面的准确性。
检索 PubMed、Embase、Web of Science、Cochrane 图书馆和中国知网(CNKI)数据库,检索时间为各数据库建库至 2023 年 11 月 1 日收录的相关文章。计算合并的敏感性(SEN)、特异性(SPE)、诊断比值比(DOR)、阳性似然比(PLR)、阴性似然比(NLR)及其相应的 95%置信区间(CI)。构建综合受试者工作特征曲线(SROC)并计算曲线下面积(AUC)。测试并分析异质性程度。
纳入了 13 篇文章中的 15 组原始研究。合并的 SEN 和 SPE 分别为 0.93(95%CI,[0.92-0.93])和 0.91(95%CI,[0.90-0.92])。DOR 为 613.01(95%CI,[270.79-1387.75]),AUC 为 0.99。Deeks 漏斗图不对称检验表明,纳入研究无明显发表偏倚(偏倚系数 40.80;P=0.13<0.10)。meta 回归分析结果表明,观察到的异质性可能归因于样本类别和拉曼光谱技术的差异。
我们证实拉曼光谱在区分白血病患者和健康个体方面具有良好的准确性,可能成为临床实践中白血病筛查的一种手段。在基于表面增强拉曼光谱(SERS)的活细胞分析中,观察到诊断效能得到提高。