• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于 MRI 的鼻咽癌放射组学:使用放射组学质量评分(RQS)评估的系统评价及展望。

MRI based radiomics in nasopharyngeal cancer: Systematic review and perspectives using radiomic quality score (RQS) assessment.

机构信息

Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy.

Department of Radiology, Fondazione IRCCS, Istituto Nazionale Dei Tumori, Milan, Italy.

出版信息

Eur J Radiol. 2021 Jul;140:109744. doi: 10.1016/j.ejrad.2021.109744. Epub 2021 Apr 30.

DOI:10.1016/j.ejrad.2021.109744
PMID:33962253
Abstract

BACKGROUND

MRI based radiomics has the potential to better define tumor biology compared to qualitative MRI assessment and support decisions in patients affected by nasopharyngeal carcinoma. Aim of this review was to systematically evaluate the methodological quality of studies using MRI- radiomics for nasopharyngeal cancer patient evaluation.

METHODS

A systematic search was performed in PUBMED, WEB OF SCIENCE and SCOPUS using "MRI, magnetic resonance imaging, radiomic, texture analysis, nasopharyngeal carcinoma, nasopharyngeal cancer" in all possible combinations. The methodological quality of study included ( = 24) was evaluated according to the RQS (Radiomic quality score). Subgroup, for journal type (imaging/clinical) and biomarker (prognostic/predictive), and correlation, between RQS and journal Impact Factor, analyses were performed. Mann-Whitney U test and Spearman's correlation were performed. P value < .05 were defined as statistically significant.

RESULTS

Overall, no studies reported a phantom study or a test re-test for assessing stability in image, biological correlation or open science data. Only 8% of them included external validation. Almost half of articles (45 %) performed multivariable analysis with non-radiomics features. Only 1 study was prospective (4%). The mean RQS was 7.5 ± 5.4. No significant differences were detected between articles published in clinical/imaging journal and between studies with a predictive or prognostic biomarker. No significant correlation was found between total RQS and Impact Factor of the year of publication (p always > 0.05).

CONCLUSIONS

Radiomic articles in nasopharyngeal cancer are mostly of low methodological quality. The greatest limitations are the lack of external validation, biological correlates, prospective design and open science.

摘要

背景

与定性 MRI 评估相比,基于 MRI 的放射组学有可能更好地定义肿瘤生物学,并为鼻咽癌患者的决策提供支持。本综述的目的是系统评估使用 MRI 放射组学评估鼻咽癌患者的研究的方法学质量。

方法

在 PUBMED、WEB OF SCIENCE 和 SCOPUS 中使用“MRI、磁共振成像、放射组学、纹理分析、鼻咽癌、鼻咽癌”的所有可能组合进行系统搜索。根据 RQS(放射组学质量评分)评估研究的方法学质量( = 24)。进行了亚组分析,按期刊类型(影像学/临床)和生物标志物(预后/预测)进行分析,并分析了 RQS 与期刊影响因子之间的相关性。采用 Mann-Whitney U 检验和 Spearman 相关分析。定义 P 值<.05 为具有统计学意义。

结果

总体而言,没有研究报告用于评估图像稳定性、生物学相关性或开放科学数据的体模研究或测试再测试。只有 8%的研究包括外部验证。几乎一半的文章(45%)进行了多变量分析,包括非放射组学特征。只有 1 项研究是前瞻性的(4%)。平均 RQS 为 7.5±5.4。发表在临床/影像学期刊上的文章和具有预测或预后生物标志物的研究之间没有发现显著差异。总 RQS 与发表年份的影响因子之间没有发现显著相关性(p 始终>.05)。

结论

鼻咽癌放射组学文章的方法学质量大多较低。最大的局限性是缺乏外部验证、生物学相关性、前瞻性设计和开放科学。

相似文献

1
MRI based radiomics in nasopharyngeal cancer: Systematic review and perspectives using radiomic quality score (RQS) assessment.基于 MRI 的鼻咽癌放射组学:使用放射组学质量评分(RQS)评估的系统评价及展望。
Eur J Radiol. 2021 Jul;140:109744. doi: 10.1016/j.ejrad.2021.109744. Epub 2021 Apr 30.
2
Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment.心脏 CT 和 MRI 放射组学:文献系统综述和放射组学质量评分评估。
Eur Radiol. 2022 Apr;32(4):2629-2638. doi: 10.1007/s00330-021-08375-x. Epub 2021 Nov 23.
3
Quality appraisal of radiomics-based studies on chondrosarcoma using METhodological RadiomICs Score (METRICS) and Radiomics Quality Score (RQS).使用基于放射组学的方法学放射组学评分(METRICS)和放射组学质量评分(RQS)对软骨肉瘤的放射组学研究进行质量评估。
Insights Imaging. 2025 Jun 18;16(1):129. doi: 10.1186/s13244-025-02016-3.
4
Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative.基于放射组学质量评分应用的系统评价:EuSoMII 放射组学审核组倡议
Eur Radiol. 2023 Mar;33(3):1884-1894. doi: 10.1007/s00330-022-09187-3. Epub 2022 Oct 25.
5
Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy.利用预后信息为乳腺癌患者选择辅助性全身治疗的成本效益
Health Technol Assess. 2006 Sep;10(34):iii-iv, ix-xi, 1-204. doi: 10.3310/hta10340.
6
A rapid and systematic review of the clinical effectiveness and cost-effectiveness of topotecan for ovarian cancer.拓扑替康治疗卵巢癌的临床有效性和成本效益的快速系统评价。
Health Technol Assess. 2001;5(28):1-110. doi: 10.3310/hta5280.
7
Magnetic resonance perfusion for differentiating low-grade from high-grade gliomas at first presentation.首次就诊时磁共振灌注成像用于鉴别低级别与高级别胶质瘤
Cochrane Database Syst Rev. 2018 Jan 22;1(1):CD011551. doi: 10.1002/14651858.CD011551.pub2.
8
Control interventions in randomised trials among people with mental health disorders.精神障碍患者随机试验中的对照干预措施。
Cochrane Database Syst Rev. 2022 Apr 4;4(4):MR000050. doi: 10.1002/14651858.MR000050.pub2.
9
A systematic review of prognosis predictive role of radiomics in pancreatic cancer: heterogeneity markers or statistical tricks?基于影像组学的胰腺癌预后预测作用的系统评价:异质性标志物还是统计学技巧?
Eur Radiol. 2022 Dec;32(12):8443-8452. doi: 10.1007/s00330-022-08922-0. Epub 2022 Jul 29.
10
Tracking tumor biology with radiomics: A systematic review utilizing a radiomics quality score.基于影像组学的肿瘤生物学追踪:利用影像组学质量评分的系统评价。
Radiother Oncol. 2018 Jun;127(3):349-360. doi: 10.1016/j.radonc.2018.03.033. Epub 2018 May 18.

引用本文的文献

1
Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine.放射组学质量评分2.0:迈向个性化医疗的放射组学准备水平及临床转化
Nat Rev Clin Oncol. 2025 Sep 3. doi: 10.1038/s41571-025-01067-1.
2
Construction of an oligometastatic prediction model for nasopharyngeal carcinoma patients based on pathomics features and dynamic multi-swarm particle swarm optimization support vector machine.基于病理组学特征和动态多群粒子群优化支持向量机构建鼻咽癌寡转移预测模型
Front Oncol. 2025 Jun 19;15:1589919. doi: 10.3389/fonc.2025.1589919. eCollection 2025.
3
The potential of MRI radiomics based on extrapulmonary metastases in predicting EGFR mutations: a systematic review and meta-analysis.
基于肺外转移的MRI影像组学预测EGFR突变的潜力:一项系统评价和荟萃分析
Biomed Eng Online. 2025 Jan 17;24(1):4. doi: 10.1186/s12938-025-01331-6.
4
Cone beam computed tomography (CBCT) and megavoltage computed tomography (MVCT)-based radiomics in head and neck cancers: a systematic review and radiomics quality score assessment.基于锥形束计算机断层扫描(CBCT)和兆伏级计算机断层扫描(MVCT)的头颈癌放射组学:系统评价与放射组学质量评分评估
Quant Imaging Med Surg. 2024 Sep 1;14(9):6963-6977. doi: 10.21037/qims-24-334. Epub 2024 Aug 28.
5
Integrative radiopathomics model for predicting progression-free survival in patients with nonmetastatic nasopharyngeal carcinoma.整合放射组学模型预测非转移性鼻咽癌患者的无进展生存期。
J Cancer Res Clin Oncol. 2024 Sep 9;150(9):415. doi: 10.1007/s00432-024-05930-z.
6
The current landscape of machine learning-based radiomics in arteriovenous malformations: a systematic review and radiomics quality score assessment.基于机器学习的动静脉畸形放射组学的现状:系统评价与放射组学质量评分评估
Front Neurol. 2024 Jun 10;15:1398876. doi: 10.3389/fneur.2024.1398876. eCollection 2024.
7
Current status and quality of radiomics studies for predicting outcome in acute ischemic stroke patients: a systematic review and meta-analysis.预测急性缺血性脑卒中患者预后的影像组学研究现状与质量:一项系统评价和Meta分析
Front Neurol. 2024 Jan 2;14:1335851. doi: 10.3389/fneur.2023.1335851. eCollection 2023.
8
Quality assessment of radiomics models in carotid plaque: a systematic review.颈动脉斑块中影像组学模型的质量评估:一项系统综述
Quant Imaging Med Surg. 2024 Jan 3;14(1):1141-1154. doi: 10.21037/qims-23-712. Epub 2023 Nov 17.
9
Adjuvant chemotherapy or no adjuvant chemotherapy? A prediction model for the risk stratification of recurrence or metastasis of nasopharyngeal carcinoma combining MRI radiomics with clinical factors.辅助化疗还是不辅助化疗?结合 MRI 放射组学和临床因素预测鼻咽癌复发或转移风险的分层模型。
PLoS One. 2023 Sep 26;18(9):e0287031. doi: 10.1371/journal.pone.0287031. eCollection 2023.
10
Radiomics Analysis for Multiple Myeloma: A Systematic Review with Radiomics Quality Scoring.多发性骨髓瘤的放射组学分析:一项采用放射组学质量评分的系统评价
Diagnostics (Basel). 2023 Jun 10;13(12):2021. doi: 10.3390/diagnostics13122021.