Xiaoyi Wu, Mai Zhang, Quan Jiang, Mingxi Li, Yuankui Wu
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引用次数: 0
摘要
目的：评估弥散张量成像（DTI）得出的指标平均弥散度（MD）和分数各向异性（FA）在区分胶质瘤复发和假性进展方面的诊断准确性：方法：系统检索了 Cochrane Library、Scopus、PubMed 和 Web of Science。研究选择和数据提取由两名研究人员独立完成。采用诊断准确性研究质量评估方法来评价纳入研究的质量。计算了综合灵敏度（SEN）和特异度（SPE）以及接收者工作特征曲线下面积（SROC）和 95% 置信区间（CI）：结果：共纳入了 7 项高质量的研究，涉及 246 名患者。研究的定量综合显示，MD的集合SEN和SPE分别为0.81（95% CI 0.70-0.88）和0.82（95% CI 0.70-0.90），SROC曲线下面积值为0.88（95% CI 0.85-0.91）。FA的汇总SEN和SPE分别为0.74（95% CI 0.65-0.82）和0.79（95% CI 0.66-0.88），SROC曲线下的面积值为0.84（95% CI 0.80-0.87）：这项荟萃分析表明，MD和FA在区分胶质瘤复发和假性进展方面都具有很高的诊断准确性：注册：PROSPERO 协议：CRD42024501146。
Diagnostic accuracy of magnetic resonance diffusion tensor imaging in distinguishing pseudoprogression from glioma recurrence: a systematic review and meta-analysis.
Purpose: To evaluate the diagnostic accuracy of diffusion tensor imaging (DTI)-derived metrics mean diffusivity (MD) and fractional anisotropy (FA) in differentiating glioma recurrence from pseudoprogression.
Methods: The Cochrane Library, Scopus, PubMed, and the Web of Science were systematically searched. Study selection and data extraction were done by two investigators independently. The quality assessment of diagnostic accuracy studies was applied to evaluate the quality of the included studies. Combined sensitivity (SEN) and specificity (SPE) and the area under the summary receiver operating characteristic curve (SROC) with the 95% confidence interval (CI) were calculated.
Results: Seven high-quality studies involving 246 patients were included. Quantitative synthesis of studies showed that the pooled SEN and SPE for MD were 0.81 (95% CI 0.70-0.88) and 0.82 (95% CI 0.70-0.90), respectively, and the value of the area under the SROC curve was 0.88 (95% CI 0.85-0.91). The pooled SEN and SPE for FA were 0.74 (95% CI 0.65-0.82) and 0.79 (95% CI 0.66-0.88), respectively, and the value of the area under the SROC curve was 0.84 (95% CI 0.80-0.87).
Conclusions: This meta-analysis showed that both MD and FA have a high diagnostic accuracy in differentiating glioma recurrence from pseudoprogression.
期刊介绍：
Expert Review of Anticancer Therapy (ISSN 1473-7140) provides expert appraisal and commentary on the major trends in cancer care and highlights the performance of new therapeutic and diagnostic approaches.
Coverage includes tumor management, novel medicines, anticancer agents and chemotherapy, biological therapy, cancer vaccines, therapeutic indications, biomarkers and diagnostics, and treatment guidelines. All articles are subject to rigorous peer-review, and the journal makes an essential contribution to decision-making in cancer care.
Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections:
Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results
Article Highlights – an executive summary of the author’s most critical points.
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