Ismail Mahayu, Hanifa Mohd Ariff Mohamed, Mahidin Eznal Izwadi Mohd, Manan Hanani Abdul, Yahya Noorazrul
Faculty of Health Sciences, National University of Malaysia, Jalan Raja Muda Aziz, Kuala Lumpur, Malaysia.
Department of Radiotherapy and Oncology, Hospital Kuala Lumpur, Jalan Pahang, Kuala Lumpur, Malaysia.
Quant Imaging Med Surg. 2024 Sep 1;14(9):6963-6977. doi: 10.21037/qims-24-334. Epub 2024 Aug 28.
Cone beam computed tomography (CBCT) and megavoltage computed tomography (MVCT)-based images demonstrate measurable radiomics features that are potentially prognostic. This study aims to systematically synthesize the current research applying radiomics in head and neck cancers for outcome prediction and to assess the radiomics quality score (RQS) of the studies.
A systematic search was performed to identify available studies on PubMed, Web of Science, and Scopus databases. Studies related to radiomics in oncology/radiotherapy fields and based on predefined Patient, Intervention, Comparator, Outcome, and Study design (PICOS) criteria were included. The methodological quality of the included study was evaluated independently by two reviewers according to the RQS. The Mann-Whitney U test was performed according to subgroups. The P values <0.05 were considered statistically significant. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 reporting guidelines were adhered to.
From a total of 743 identified studies, six original studies were eligible for inclusion in the systematic review (median =97 patients). The intraclass correlation coefficient (ICC) for inter-reviewer on total RQS was excellent with 0.99 [95% confidence interval (CI) of 0.946< ICC <0.999]. There were no significant differences in the analyses between each RQS domain and subgroup components (P always >0.05). Numerically higher RQS domains score for publication year ≤2022 than 2023 and number of patients > median than ≤ median but not statistically significant.
The number of radiomics studies involving CBCT and MVCT is still very limited. Self-reported RQS assessments should be encouraged for all radiomics studies.
基于锥束计算机断层扫描(CBCT)和兆伏级计算机断层扫描(MVCT)的图像显示出可测量的放射组学特征,这些特征可能具有预后价值。本研究旨在系统地综合当前将放射组学应用于头颈癌预后预测的研究,并评估这些研究的放射组学质量评分(RQS)。
在PubMed、科学网和Scopus数据库中进行系统检索,以识别可用的研究。纳入与肿瘤学/放射治疗领域放射组学相关且基于预定义的患者、干预措施、对照、结局和研究设计(PICOS)标准的研究。由两名 reviewers 根据RQS独立评估纳入研究的方法学质量。根据亚组进行曼-惠特尼U检验。P值<0.05被认为具有统计学意义。遵循系统评价和Meta分析的首选报告项目(PRISMA)2020报告指南。
在总共743项已识别的研究中,六项原始研究符合纳入系统评价的条件(中位数=97例患者)。 reviewers 间总RQS的组内相关系数(ICC)极佳,为0.99[95%置信区间(CI)为0.946<ICC<0.999]。每个RQS领域与亚组成分之间的分析无显著差异(P始终>0.05)。出版年份≤2022年的RQS领域得分在数值上高于2023年,患者数量>中位数的得分高于≤中位数的得分,但无统计学意义。
涉及CBCT和MVCT的放射组学研究数量仍然非常有限。应鼓励所有放射组学研究进行自我报告的RQS评估。