GEP-NETs radiomics in action: a systematical review of applications and quality assessment

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-02-13 DOI:10.1007/s40336-024-00617-4

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引用次数: 0

Abstract

Purpose

To provide a comprehensive overview of the applications and quality of radiomics studies in GEP-NETs.

Methods

Embase, Scopus, and PubMed were searched until 2023. Studies that extracted qualitative radiomics features of GEP-NETs were included. Radiomics quality score (RQS) was used to assess the quality of studies. Changes in study quality were analyzed by grouping studies into three categories based on the year of publication. Correlation of impact factor (IF), CiteScore, Scientific Journal Rankings (SJR) and RQS were tested by spearman correlation analysis.

Results

A total of 64 studies were included, focusing on aggressive behavior prediction in tumors (n = 34), differentiation of GEP-NETs from other lesions (n = 18), and prognosis or treatment response prediction (n = 13). Three RQS criteria met most frequently in studies were discrimination statistics, discussing clinical utility and well-documented image protocol. The three RQS criteria met least frequently were prospective design, multiple imaging time points, open data. As time progressed, the 2022–2023 group achieved significantly higher RQS scores compared to the previous groups. IF and RQS (r = 0.29, p = 0.024), CiteScore and RQS (r = 0.22, p = 0.085), SJR and RQS (r = 0.28, p = 0.028) were all weakly associated.

Conclusion

Few studies focused on prognosis or treatment response prediction, indicating potential for future research. While overall improvements have been made, the majority of studies still exhibit low quality. Optimizing dataset quality, model assessment, and reporting of the radiomics workflow remains necessary. The three commonly used journal evaluation metrics may not accurately reflect the quality of a radiomics study.

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行动中的 GEP-NETs 辐射组学：对应用和质量评估的系统审查

摘要目的全面概述 GEP-NET 中放射组学研究的应用和质量。方法检索 Embase、Scopus 和 PubMed，直至 2023 年。纳入了提取GEP-NET定性放射组学特征的研究。采用放射组学质量评分（RQS）评估研究质量。根据发表年份将研究分为三类，分析研究质量的变化。影响因子（IF）、CiteScore、科学期刊排名（SJR）和 RQS 的相关性通过 spearman 相关性分析进行检验。结果共纳入 64 项研究，主要涉及肿瘤侵袭行为预测（34 项）、GEP-NET 与其他病变的鉴别（18 项）以及预后或治疗反应预测（13 项）。研究中最常符合的三项 RQS 标准是判别统计、临床实用性讨论和有据可查的图像方案。符合最少的三个 RQS 标准是前瞻性设计、多个成像时间点、开放数据。随着时间的推移，2022-2023 组的 RQS 得分明显高于前几组。IF 和 RQS（r = 0.29，p = 0.024）、CiteScore 和 RQS（r = 0.22，p = 0.085）、SJR 和 RQS（r = 0.28，p = 0.028）均呈弱相关。结论很少有研究关注预后或治疗反应预测，这表明未来研究具有潜力。虽然总体上有所改进，但大多数研究的质量仍然较低。优化数据集质量、模型评估和放射组学工作流程报告仍有必要。期刊常用的三个评估指标可能无法准确反映放射组学研究的质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464