Suppr超能文献

透过质量万花筒:牙颌面影像学研究的反思。

Through the quality kaleidoscope: reflections on research in dentomaxillofacial imaging.

机构信息

Faculty of Odontology, Malmö University, Malmö, Sweden.

Division of Dentistry, School of Medical Sciences, University of Manchester, Manchester, UK.

出版信息

Dentomaxillofac Radiol. 2020 Sep 1;49(6):20190484. doi: 10.1259/dmfr.20190484. Epub 2020 Feb 11.

Abstract

The REduce research Waste And Reward Diligence statement has highlighted how weaknesses in health research can produce misleading results and waste valuable resources. Research on diagnostic efficacy in the field of dentomaxillofacial radiology (DMFR) is no exception to these criticisms and could be strengthened by more robust study designs, consistent use of a core set of outcome measures and completeness in reporting. Furthermore, we advocate that everyone participating in collaborative research on clinical interventions subscribes to the importance of methodological quality in how imaging methods are used. The aim of this paper, therefore, is to present a guide to conducting high-quality research on diagnostic efficacy in DMFR.We initially propose a framework inspired by the hierarchical model of efficacy of Fryback and Thornbury, highlighting study designs, measures of analysis, completeness of reporting and established guidelines to assist in these aspects of research. Bias in research, and measures to prevent or limit it, are then described.It is desirable to climb the Fryback and Thornbury "ladder" from technical efficacy, via accuracy and clinical efficacy, to societal efficacy of imaging methods. Efficacy studies on the higher steps of the ladder may be difficult to perform, but we must strive to answer questions of how useful our methods are in patient management and assess benefits, risks, costs, ethical and social issues. With the framework of six efficacy levels as the structure and based on our experience, we present information that may facilitate quality enhancement of diagnostic efficacy research in DMFR.

摘要

REduce 研究浪费和奖励勤奋声明强调了健康研究中的弱点如何产生误导性结果并浪费宝贵的资源。牙颌面放射学(DMFR)领域的诊断效能研究也不例外,这些研究可以通过更强大的研究设计、一致使用核心的一套结果衡量标准以及更完整的报告来加强。此外,我们主张每个参与临床干预合作研究的人都应重视在使用成像方法时的方法学质量。因此,本文的目的是提出一个在 DMFR 中进行高质量诊断效能研究的指南。我们最初提出了一个框架,灵感来自 Fryback 和 Thornbury 的效能层次模型,突出了研究设计、分析测量、报告的完整性以及在这些研究方面的既定指南,以协助进行研究。然后描述了研究中的偏倚以及预防或限制偏倚的措施。从技术效能,通过准确性和临床效能,攀升 Fryback 和 Thornbury 的“阶梯”,达到成像方法的社会效益是理想的。更高层次阶梯的效能研究可能难以进行,但我们必须努力回答我们的方法在患者管理中的有用性问题,并评估其益处、风险、成本、伦理和社会问题。我们以六个效能水平的框架作为结构,并基于我们的经验,提供可能有助于提高 DMFR 中诊断效能研究质量的信息。

相似文献

1
Through the quality kaleidoscope: reflections on research in dentomaxillofacial imaging.
Dentomaxillofac Radiol. 2020 Sep 1;49(6):20190484. doi: 10.1259/dmfr.20190484. Epub 2020 Feb 11.
2
The future of Cochrane Neonatal.
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
4
Radiobiological risks following dentomaxillofacial imaging: should we be concerned?
Dentomaxillofac Radiol. 2021 Sep 1;50(6):20210153. doi: 10.1259/dmfr.20210153. Epub 2021 May 14.
5
Dentomaxillofacial radiology in Australia and dentist satisfaction with radiology reports.
Aust Dent J. 2018 Dec;63(4):402-413. doi: 10.1111/adj.12642. Epub 2018 Jul 26.
6
Radiation safety of dentomaxillofacial radiology in Finland: Reported abnormal irradiation-related incidents during 2012-2022.
Radiography (Lond). 2024 Aug;30(5):1265-1271. doi: 10.1016/j.radi.2024.06.017. Epub 2024 Jul 11.
7
Radiology AI Deployment and Assessment Rubric (RADAR) to bring value-based AI into radiological practice.
Insights Imaging. 2024 Feb 5;15(1):34. doi: 10.1186/s13244-023-01599-z.
9
Artificial intelligence in dentomaxillofacial radiology.
World J Radiol. 2022 Mar 28;14(3):55-59. doi: 10.4329/wjr.v14.i3.55.

引用本文的文献

2
"New Normal" Radiology.
Int Dent J. 2022 Aug;72(4):448-455. doi: 10.1016/j.identj.2022.05.002. Epub 2022 Jun 4.
4
Determination of a cone-beam CT low-dose protocol for root fracture diagnosis in non-endodontically treated anterior maxillary teeth.
Dentomaxillofac Radiol. 2022 Feb 1;51(2):20210138. doi: 10.1259/dmfr.20210138. Epub 2021 Sep 8.
5
A meta-review of effective doses in dental and maxillofacial cone beam CT using the ROBIS tool.
Br J Radiol. 2021 Jul 1;94(1123):20210042. doi: 10.1259/bjr.20210042. Epub 2021 May 27.
6
Radiographic modalities for diagnosis of caries in a historical perspective: from film to machine-intelligence supported systems.
Dentomaxillofac Radiol. 2021 Jul 1;50(5):20210010. doi: 10.1259/dmfr.20210010. Epub 2021 Mar 4.
8
Head motion and perception of discomfort by young children during simulated CBCT examinations.
Dentomaxillofac Radiol. 2021 Mar 1;50(3):20200445. doi: 10.1259/dmfr.20200445. Epub 2020 Oct 30.
10
Does anthropomorphic model design in studies affect diagnostic accuracy for dental root fracture using CBCT?
Dentomaxillofac Radiol. 2020 Oct 1;49(7):20200093. doi: 10.1259/dmfr.20200093. Epub 2020 Jun 9.

本文引用的文献

3
Citation bias in imaging research: are studies with higher diagnostic accuracy estimates cited more often?
Eur Radiol. 2019 Apr;29(4):1657-1664. doi: 10.1007/s00330-018-5801-8. Epub 2018 Nov 15.
7
Scientific citations favor positive results: a systematic review and meta-analysis.
J Clin Epidemiol. 2017 Aug;88:92-101. doi: 10.1016/j.jclinepi.2017.06.002. Epub 2017 Jun 8.
8
Patient movement and motion artefacts in cone beam computed tomography of the dentomaxillofacial region: a systematic literature review.
Oral Surg Oral Med Oral Pathol Oral Radiol. 2016 Apr;121(4):425-33. doi: 10.1016/j.oooo.2015.11.019. Epub 2015 Dec 19.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验