Park Jae Joon, Kim Do Kyung, Lee Soomin, Choi Yoonseo, Kim Yon Hee, Lee Joon-Ho, Kim Ki Hyun, Kim Jae Heon
Department of Urology, Soonchunhyang University Seoul Hospital, Seoul, Korea.
Department of Early Childhood Education, Ewha Womans University, Seoul, Korea.
Transl Androl Urol. 2021 Feb;10(2):574-583. doi: 10.21037/tau-20-924.
Although various studies have been conducted to demonstrate the possibility of Raman spectroscopy (RS) as a diagnostic tool for prostate cancer (PC), it is difficult to use it in the real clinical area because of imitations in various research processes. Therefore, we did a systematic review and meta-analysis about the accuracy in diagnostic use of RS for PC.
A literature search was done using PubMed, Embase, and Cochrane library databases in March 2019 to analyze the accuracy of RS for diagnosis of PC. The accuracy of RS for diagnosis of PC was evaluated by means of pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC).
Five studies were included for qualitative analysis by screening the remaining articles according to the inclusion and exclusion criteria by means of a systematic review. The pooled sensitivity and specificity of RS were 0.89 (95% CI: 0.87-0.91) and 0.91 (95% CI: 0.89-0.93), respectively. The overall PLR and NLR were 9.12 (95% CI: 4.15-20.08) and 0.14 (95% CI: 0.07-0.29), respectively. The DOR of RS demonstrated high accuracy (73.32; 95% CI: 18.43-291.73). The area under the curves (AUCs) of SROC curves was 0.93.
RS is an optical diagnostic method with high potential for diagnosis and grading of PC and has advantages of real-time and convenient use. In order to consider real-time use of RS in an actual clinical setting, more studies for standardization and generalization of RS performance and analytical method must be conducted.
尽管已经进行了各种研究以证明拉曼光谱（RS）作为前列腺癌（PC）诊断工具的可能性，但由于各种研究过程中的局限性，很难在实际临床领域中使用它。因此，我们对RS用于PC诊断的准确性进行了系统评价和荟萃分析。
2019年3月使用PubMed、Embase和Cochrane图书馆数据库进行文献检索，以分析RS诊断PC的准确性。通过合并敏感性、特异性、阳性似然比（PLR）、阴性似然比（NLR）、诊断比值比（DOR）和汇总接收器操作特征（SROC）来评估RS诊断PC的准确性。
通过系统评价根据纳入和排除标准筛选其余文章，纳入五项研究进行定性分析。RS的合并敏感性和特异性分别为0.89（95%CI：0.87-0.91）和0.91（95%CI：0.89-0.93）。总体PLR和NLR分别为9.12（95%CI：4.15-20.08）和0.14（95%CI：0.07-0.29）。RS的DOR显示出高准确性（73.32；95%CI：18.43-291.73）。SROC曲线的曲线下面积（AUC）为0.93。
RS是一种具有诊断和分级PC高潜力的光学诊断方法，具有实时和使用方便的优点。为了考虑在实际临床环境中实时使用RS，必须进行更多关于RS性能和分析方法标准化和推广的研究。
