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放射学出版物洞察

Insights into Radiology Publications.

作者信息

Sathiadoss Paul, Bhayana Rajesh, Shaikh Zara A, Krishna Satheesh

机构信息

Department of Medical Imaging, London Health Sciences Centre, University of Western Ontario, London, Ontario, Canada.

Department of Medical Imaging, University of Toronto, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, Toronto, Canada.

出版信息

Indian J Radiol Imaging. 2025 Jan 9;35(Suppl 1):S18-S29. doi: 10.1055/s-0044-1793914. eCollection 2025 Jan.

DOI:10.1055/s-0044-1793914
PMID:39802728
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11717458/
Abstract

The evolution of modern medicine has been significantly driven by medical and health care research, underscoring the importance of disseminating findings to advance health care. Medical literature, encompassing various publication types such as case reports, review articles, and original research, plays a crucial role in this process by facilitating the communication and discussion of new discoveries. This review article provides a comprehensive guide to understanding and navigating radiologic publications. It examines the various types of radiologic research articles, including case reports and series, pictorial reviews, original research, systematic reviews, and meta-analyses, each of which serve distinct purposes in contributing to the field of radiology. The study adopts the "six honest men" approach-addressing why, who, what, when, where, and how-to elucidate the essential elements of successful radiology research and publication. Key topics include the motivations for publishing, the types of articles suited for different research questions, and strategic considerations for selecting appropriate journals. Additionally, the review highlights the importance of understanding publication timing, journal selection criteria, and the overall publication process, including manuscript preparation and peer review. By offering these insights, the review aims to equip early-career researchers with the knowledge and skills necessary to effectively contribute to radiology literature and advance their academic and professional careers.

摘要

现代医学的发展在很大程度上受到医疗卫生研究的推动,这凸显了传播研究成果以促进医疗保健的重要性。医学文献涵盖病例报告、综述文章和原创研究等多种出版类型,通过促进新发现的交流与讨论,在这一过程中发挥着关键作用。这篇综述文章提供了一份全面的指南,以帮助理解和浏览放射学出版物。它审视了各种类型的放射学研究文章,包括病例报告及系列、图片综述、原创研究、系统评价和荟萃分析,每一种在放射学领域都有着不同的作用。该研究采用“六个诚实的人”的方法——即回答为什么、谁、什么、何时、何地以及如何——来阐明成功的放射学研究和出版的基本要素。关键主题包括发表的动机、适合不同研究问题的文章类型以及选择合适期刊的策略考量。此外,该综述强调了理解发表时机、期刊选择标准以及整个出版过程(包括稿件准备和同行评审)的重要性。通过提供这些见解,该综述旨在使早期职业研究人员具备有效为放射学文献做出贡献并推进其学术和职业生涯所需的知识和技能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d06/11717458/eac77810ecf5/10-1055-s-0044-1793914-i2493714-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d06/11717458/eac77810ecf5/10-1055-s-0044-1793914-i2493714-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d06/11717458/eac77810ecf5/10-1055-s-0044-1793914-i2493714-1.jpg

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本文引用的文献

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Retrieval-Augmented Generation for Large Language Models in Radiology: Another Leap Forward in Board Examination Performance.放射学中基于检索增强的大语言模型生成:在董事会考试表现方面的又一次飞跃。
Radiology. 2024 Oct;313(1):e241489. doi: 10.1148/radiol.241489.
2
Sigmoid volvulus-Can CT features predict outcomes and recurrence?乙状结肠扭转——CT特征能否预测预后及复发情况?
Eur Radiol. 2025 Feb;35(2):897-905. doi: 10.1007/s00330-024-10979-y. Epub 2024 Jul 25.
3
Large Language Models for Automated Synoptic Reports and Resectability Categorization in Pancreatic Cancer.
大语言模型在胰腺肿瘤自动化综述报告和可切除性分类中的应用。
Radiology. 2024 Jun;311(3):e233117. doi: 10.1148/radiol.233117.
4
Evaluation of Reliability, Repeatability, Robustness, and Confidence of GPT-3.5 and GPT-4 on a Radiology Board-style Examination.GPT-3.5 和 GPT-4 在放射学 Board 式考试中的可靠性、可重复性、稳健性和置信度评估。
Radiology. 2024 May;311(2):e232715. doi: 10.1148/radiol.232715.
5
Machine learning based prediction of image quality in prostate MRI using rapid localizer images.基于机器学习利用快速定位图像预测前列腺MRI图像质量
J Med Imaging (Bellingham). 2024 Mar;11(2):026001. doi: 10.1117/1.JMI.11.2.026001. Epub 2024 Mar 1.
6
Use of GPT-4 With Single-Shot Learning to Identify Incidental Findings in Radiology Reports.使用GPT-4进行单样本学习以识别放射学报告中的偶然发现。
AJR Am J Roentgenol. 2024 Mar;222(3):e2330651. doi: 10.2214/AJR.23.30651. Epub 2024 Jan 10.
7
Autosomal Dominant Polycystic Kidney Disease: Role of Imaging in Diagnosis and Management.常染色体显性遗传性多囊肾病:影像学在诊断和管理中的作用。
Radiographics. 2023 Jan;43(1):e220126. doi: 10.1148/rg.220126.
8
Renal Neoplasms in Young Adults.年轻人中的肾肿瘤。
Radiographics. 2022 Mar-Apr;42(2):433-450. doi: 10.1148/rg.210138.
9
Diagnostic Accuracy of MRI in Local Staging (T Category) of Penile Cancer and the Value of Artificial Erection: A Systematic Review and Meta-Analysis.MRI 对阴茎癌局部分期(T 分期)的诊断准确性及人工勃起的价值:系统评价和荟萃分析。
AJR Am J Roentgenol. 2022 Jul;219(1):28-36. doi: 10.2214/AJR.21.27063. Epub 2022 Feb 23.
10
The impact of the COVID-19 pandemic on scientific research in the life sciences.COVID-19 大流行对生命科学领域科研的影响。
PLoS One. 2022 Feb 9;17(2):e0263001. doi: 10.1371/journal.pone.0263001. eCollection 2022.