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A Chat About Peer Review 谈谈同行评议。
IF 5.6 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2025-10-12 DOI: 10.1111/ceo.70007
Justine R. Smith, Syed B. Ali, Binoy Appukuttan, Stewart R. Lake
<p>In February 2025, we received the peer reviewer comments for our invited review of uveitis therapeutics, a major (25-published page) article that had taken our team of seven clinicians almost a year to write. We were enthusiastic about the work and looked forward to tough constructive criticism to make the article even better. Reading through the comments, we initially wondered whether the wrong critique had been sent: ‘The methods section is meticulously detailed, allowing for reproducibility and transparency’ and ‘The results are presented systematically, with precise graphical representations’; yet, our work was a narrative review, and there were no methods and results sections, and further, the article had multiple large tables but no figures. In addition, none of the suggested revisions were specific to uveitis treatment. We concluded that the peer review was generated by artificial intelligence (AI), specifically by a large language model (LLM). Publicly available Quillbot AI Detector software [<span>1</span>] confirmed our suspicion: 100% of the review was ‘AI-generated’ and 0% was ‘human-written’ (accessed 26/2/2025).</p><p>Artificial intelligence is embedded in our professional and personal lives, whether we are aware or not. <i>Clinical and Experimental Ophthalmology</i> has featured a number of current applications of AI in ophthalmology specifically: diagnosis and management of common and rare eye diseases [<span>2-4</span>], ophthalmic screening [<span>5, 6</span>] and administrative or regulatory processes [<span>7, 8</span>]. To imagine a future in which AI is not part of generating and disseminating knowledge is to bury one's head in the sand. On that basis, it is not unexpected that AI is being used in the preparation of manuscripts for publication. The peer-reviewed journals have rules around this: in the case of <i>Clinical and Experimental Ophthalmology</i>, ‘Manuscripts that have been prepared by or with the assistance of [AI] must transparently declare this and describe in detail both the extent of the assistance as well as the system specifications used in the description of the methodology’ [<span>9</span>]. In contrast, the use of LLM in peer review of manuscripts has received much less attention.</p><p>The listed authors wrote this editorial, but in the process, we sought LLM input on the topic at hand. We asked 3 chatbots—ChatGPT [<span>10</span>], Google Gemini [<span>11</span>] and Microsoft Copilot [<span>12</span>] (accessed 18/8/2025)—the following question: ‘What are the advantages and disadvantages of using AI tools for scientific peer review?’ The three chatbots provided lists of advantages and disadvantages, which summarised some of the key issues. All noted the positives of speed, objectivity (reducing reviewer bias, long recognised to be an issue), integrity checking, and language support. Two chatbots also alluded to reviewer intellectual support, one of the most controversial aspects of using LLMs, as di
在2025年2月,我们收到了同行评议对我们邀请的葡萄膜炎治疗的评论,这是一篇重要的(25页)文章,我们的7名临床医生团队花了将近一年的时间来撰写。我们对这项工作充满热情,并期待着严厉的建设性批评,使文章变得更好。通过阅读评论,我们最初怀疑是否发出了错误的评论:“方法部分非常详细,允许可重复性和透明度”和“结果系统地呈现,具有精确的图形表示”;然而,我们的工作是一个叙述性的回顾,没有方法和结果部分,而且,文章有多个大表格,但没有数字。此外,没有一个建议的修订是针对葡萄膜炎治疗的。我们得出结论,同行评议是由人工智能(AI),特别是由大型语言模型(LLM)生成的。公开的Quillbot AI检测器软件[1]证实了我们的怀疑:100%的评论是“人工智能生成的”,0%是“人工编写的”(26/2/2025)。不管我们是否意识到,人工智能已经融入了我们的职业和个人生活。《临床与实验眼科学》介绍了人工智能在眼科学中的一些当前应用,具体包括:常见和罕见眼病的诊断和管理[2-4]、眼科筛查[5,6]和行政或监管流程[7,8]。想象一个人工智能不再参与产生和传播知识的未来,就是把自己的头埋在沙子里。在此基础上,人工智能被用于编写供出版的手稿也就不足为奇了。同行评议期刊对此有规定:在《临床和实验眼科学》的案例中,“由[人工智能]编写或在[人工智能]帮助下编写的手稿必须透明地声明这一点,并详细描述帮助的程度以及方法描述中使用的系统规格”[9]。相比之下,在手稿的同行评审中使用法学硕士受到的关注要少得多。列出的作者撰写了这篇社论,但在此过程中,我们寻求法学硕士对手头主题的投入。我们询问了3个聊天机器人——chatgpt[10]、谷歌Gemini[11]和Microsoft Copilot[12](访问时间为2025年8月18日)——以下问题:“使用人工智能工具进行科学同行评议的利弊是什么?”这三个聊天机器人列出了优缺点,总结了一些关键问题。所有人都注意到了速度、客观性(减少审稿人偏见,这是一个长期以来被认为是一个问题)、完整性检查和语言支持的积极方面。两个聊天机器人还提到了审稿人的智力支持,这是使用法学硕士最具争议的方面之一,如下所述。在负面方面,所有聊天机器人都发现缺乏专业知识(同行审稿人的主要期望),与培训相关的偏见,以及法学硕士如何得出结论的不可知的“黑匣子”问题。其中一个聊天机器人提到了“幻觉”,更恰当的说法是“捏造”,另外两个则指出了在未经作者或期刊许可的情况下与公共软件工具共享未发表信息的重要伦理和隐私问题。关于在手稿的同行评审中使用法学硕士,业内有强烈的意见。进化生物学家卡尔·伯格斯特罗姆和集体行为科学家约瑟夫·巴克-科尔曼在他们的《自然职业专栏》中发表了一篇充满激情的反驳文章,他们担心人类科学活动的退化和科学家技能的丧失。他们写道:“我们冒着用低级自动化取代人类熟练程度的风险,却没有意识到我们正在失去什么。”他们担心llm会“侵蚀”“人类科学活动的深度和复杂性”。生物医学数据科学家James Zou在《自然》杂志的社论中更为温和地提到了法学硕士在学术写作和同行评议中的应用浪潮。他的团队开发了一个聊天机器人,可以提供科学的同行评议,并将评议与人类提供的评议进行比较,结果显示,超过50%的作者认为来自法学硕士的评议具有科学价值。他希望看到“社区规范和资源……确保法学硕士使审稿人、编辑和作者受益,而不损害科学过程的完整性”[14]。法学硕士在同行评审过程中拥有专业知识的看法是一种错觉。事实上,法学硕士的产出并不区分事实与虚构。对于眼科领域的临床医生和非临床医生研究人员,我们必须承认,我们不是人工智能应用方面的专家,必须谨慎行事。《临床与实验眼科学》(Clinical and Experimental Ophthalmology)的出版商Wiley提供了在同行评审中使用人工智能的最佳实践指南。 摘自这份材料的节选:“人工智能技术可以用来提高同行评审报告中书面反馈的质量。这种使用必须在提交同行评审报告时透明地声明。同行审稿人不应将稿件上传到AI Technology。正如威利所强调的那样,将作者的手稿加载到公共聊天机器人中是对保密和隐私的侵犯,进一步可能侵犯版权,这两者都有潜在的法律影响。至少,该杂志可能会对违反这一政策的同行评议人采取惩罚措施。从哲学的角度来看,评论提供了第一个阅读甚至为有影响力的研究做出贡献的特权;雇用法学硕士来审阅手稿,就会使这一特殊机会失去机会。此外,提交给聊天机器人的材料会用于训练法学硕士——如果这些材料存在致命缺陷,或者需要修改,那么就会对科学知识产生令人担忧的影响。很明显,同行审稿人在一系列问题上面临着不同的意见;我们建议站在作者的角度考虑问题。从作者的角度来看,llm生成的评论通常是通用的,并且在很大程度上是不相关的,没有提供建设性的信息来支持他们的工作的特定主题的改进。在整个医学领域,包括眼科,工作量持续增加。审阅手稿增加了一个人的工作量。然而,批评是研究人员工作的一部分;此外,它有助于我们的持续专业发展。随着眼科文献几乎呈指数级增长,审查要求也在增加,而不是减少。那么,审稿人如何利用人工智能技术来发挥自己的优势,同时又符合同行评审的需求和政策呢?组织行为科学家Dritjon Gruda在《自然》职业专栏上发表的一篇文章在这方面很有帮助:通过人工智能实现更快、更聪明的同行评议的三个步骤。“浏览、口述、修改”:他一边读论文,一边用语音转文本软件做笔记;他将听写的笔记输入离线LLM,进行英语检查并组织复习;他亲自润色文本。因此,输出的内容是他自己的,而法学硕士提供编辑支持——但总是在他的监督下。在向临床和实验眼科学提交审稿时,表明您已使用法学硕士学位来纠正语言并组织您的文档。引用格鲁达的话:“通过聚焦论文中最重要的部分,将高效的笔记与人工智能的语言能力相结合,我们可以给作者提供他们需要的反馈,而不会让自己精疲力竭。”然而,如果你根本没有时间完成同行评议,立即拒绝邀请,并期待在更方便的时间收到另一个邀请。同行评议的期刊可以采取措施来防范法学硕士产生的同行评议。为了在这个问题上教育他们的人类同行审稿人,临床和实验眼科可以在审稿人界面上放置一个链接,链接到Wiley最佳实践指南的相关部分。另一个简单的修复方法是在评审提交界面上添加一个复选框,要求同行评审人员指出是否在评审中使用了LLM,如果使用了,使用的是什么以及如何使用的。该杂志在Wiley的研究交流筛选平台中使用复杂的工具,可以筛选新提交的剽窃和生成式人工智能b[18]的使用。同样的工具也可以用于筛选同行评审。可以插入数字水印来检测LLM[19]的使用,因为仅基于文本的检测可以证明具有挑战性[20]。编辑需要认真对待作者对人工智能产生的同行评议的担忧。当同行审稿人似乎违反了这些政策时,就需要进行调查,其后果可能包括禁止审查和通知个人所在的学术机构。在任何调查中,认识到审稿人的回应权和正当程序是至关重要的,因为没有任何人工智能检测工具是完美的。编辑还必须支持那些作品在他们的监督下受到损害的作者。他们应该指导作者忽略法学硕士产生的审稿,并可能安排一个快速的重新审稿,也许是由他们的编辑委员会成员之一。将作者置于延长的同行评议过程中是不公
{"title":"A Chat About Peer Review","authors":"Justine R. Smith,&nbsp;Syed B. Ali,&nbsp;Binoy Appukuttan,&nbsp;Stewart R. Lake","doi":"10.1111/ceo.70007","DOIUrl":"10.1111/ceo.70007","url":null,"abstract":"&lt;p&gt;In February 2025, we received the peer reviewer comments for our invited review of uveitis therapeutics, a major (25-published page) article that had taken our team of seven clinicians almost a year to write. We were enthusiastic about the work and looked forward to tough constructive criticism to make the article even better. Reading through the comments, we initially wondered whether the wrong critique had been sent: ‘The methods section is meticulously detailed, allowing for reproducibility and transparency’ and ‘The results are presented systematically, with precise graphical representations’; yet, our work was a narrative review, and there were no methods and results sections, and further, the article had multiple large tables but no figures. In addition, none of the suggested revisions were specific to uveitis treatment. We concluded that the peer review was generated by artificial intelligence (AI), specifically by a large language model (LLM). Publicly available Quillbot AI Detector software [&lt;span&gt;1&lt;/span&gt;] confirmed our suspicion: 100% of the review was ‘AI-generated’ and 0% was ‘human-written’ (accessed 26/2/2025).&lt;/p&gt;&lt;p&gt;Artificial intelligence is embedded in our professional and personal lives, whether we are aware or not. &lt;i&gt;Clinical and Experimental Ophthalmology&lt;/i&gt; has featured a number of current applications of AI in ophthalmology specifically: diagnosis and management of common and rare eye diseases [&lt;span&gt;2-4&lt;/span&gt;], ophthalmic screening [&lt;span&gt;5, 6&lt;/span&gt;] and administrative or regulatory processes [&lt;span&gt;7, 8&lt;/span&gt;]. To imagine a future in which AI is not part of generating and disseminating knowledge is to bury one's head in the sand. On that basis, it is not unexpected that AI is being used in the preparation of manuscripts for publication. The peer-reviewed journals have rules around this: in the case of &lt;i&gt;Clinical and Experimental Ophthalmology&lt;/i&gt;, ‘Manuscripts that have been prepared by or with the assistance of [AI] must transparently declare this and describe in detail both the extent of the assistance as well as the system specifications used in the description of the methodology’ [&lt;span&gt;9&lt;/span&gt;]. In contrast, the use of LLM in peer review of manuscripts has received much less attention.&lt;/p&gt;&lt;p&gt;The listed authors wrote this editorial, but in the process, we sought LLM input on the topic at hand. We asked 3 chatbots—ChatGPT [&lt;span&gt;10&lt;/span&gt;], Google Gemini [&lt;span&gt;11&lt;/span&gt;] and Microsoft Copilot [&lt;span&gt;12&lt;/span&gt;] (accessed 18/8/2025)—the following question: ‘What are the advantages and disadvantages of using AI tools for scientific peer review?’ The three chatbots provided lists of advantages and disadvantages, which summarised some of the key issues. All noted the positives of speed, objectivity (reducing reviewer bias, long recognised to be an issue), integrity checking, and language support. Two chatbots also alluded to reviewer intellectual support, one of the most controversial aspects of using LLMs, as di","PeriodicalId":55253,"journal":{"name":"Clinical and Experimental Ophthalmology","volume":"53 8","pages":"897-899"},"PeriodicalIF":5.6,"publicationDate":"2025-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ceo.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145281735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stromal Curvature, Power and Corneal-Stromal Curvature Ratios From a Hybrid AS-OCT in Eyes With Keratoconus. 混合AS-OCT对圆锥角膜的间质曲率、功率和角膜-间质曲率比。
IF 5.6 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2025-09-30 DOI: 10.1111/ceo.70001
Jascha A Wendelstein, Annabella Ostermaier, Katrin Freller, Arianna Grendele, Giacomo Savini, Catarina Praefke Coutinho, Robert Herber, Nikolaus Luft, Stefan Kassumeh, Achim Langenbucher, Siegfried Priglinger

Background: To characterise stromal curvature and curvature ratios in keratoconus (KCN) using anterior segment OCT, and to evaluate the implications of using single-, two-, and three-surface refractive models for corneal power estimation in ectatic eyes.

Methods: Retrospective observational study. Anterior segment OCT measurements (MS-39, CSO) were analysed. Anterior, stromal, and posterior curvature radii were computed across five concentric zones (2.0-6.0 mm) using a floating best-fit sphere, and curvature ratios were subsequently derived: anterior-to-stromal (ASR), stromal-to-posterior (SPR), and anterior-to-posterior (APR). Corneal power was calculated using one-, two-, and three-surface models. KCN severity was classified according to the Belin ABC grading stage and ASR, SPR, and APR were stratified accordingly.

Results: Data from 944 keratoconic eyes were analysed. Peripheral zones (6.0 mm) exhibited reduced variability in curvature measurement compared to central zones (3.0 mm). Differences between simplified (one- and two-surface) and three-surface power models correlated moderately with increased APR and SPR values. ASR, SPR, and APR all increased progressively with advancing ABC grade.

Conclusion: In advanced keratoconus, three-surface modelling yields different corneal power estimates versus simplified models in KC; prospective outcome studies are needed to assess clinical impact. Stromal curvature and its derived ratios provide novel structural metrics that change with KCN severity. Curvature ratio increase -especially APR and SPR- reflects posterior steepening and anterior-posterior decoupling, with possible implications for staging and surgical planning.

背景:利用前段OCT表征圆锥角膜(KCN)的基质曲率和曲率比,并评估使用单面、二面和三面屈光模型估算膨大眼角膜度数的意义。方法:回顾性观察研究。前段OCT测量(MS-39, CSO)进行分析。使用浮动最佳拟合球体计算五个同心区(2.0-6.0 mm)的前、间质和后曲率半径,随后推导出曲率比:前-间质(ASR)、基质-后(SPR)和前后(APR)。使用一面、二面和三面模型计算角膜度数。根据Belin ABC分级阶段对KCN的严重程度进行分级,并据此对ASR、SPR、APR进行分层。结果:对944只角膜晶状体眼的资料进行分析。与中心区域(3.0 mm)相比,外围区域(6.0 mm)的曲率测量变异性降低。简化(一面和两面)和三面功率模型之间的差异与APR和SPR值的增加适度相关。ASR、SPR、APR均随ABC分级升高而逐渐升高。结论:在晚期圆锥角膜中,三面模型与KC简化模型的角膜功率估算值不同;需要前瞻性结局研究来评估临床影响。基质曲率及其衍生比率提供了随KCN严重程度变化的新型结构指标。曲率比增加——尤其是APR和SPR——反映了后路变陡和前后解耦,可能对分期和手术计划有影响。
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引用次数: 0
The Long Journey of Treatment for Wet Macular Degeneration, Is It Worth It? 治疗湿性黄斑变性的漫漫征途,值得吗?
IF 5.6 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2025-09-25 DOI: 10.1111/ceo.70004
Mark Gillies
<p>Randomised clinical trials (RCTs) do not provide the long-term data that are required to assess the overall efficacy of interventions for chronic conditions, such as neovascular age-related macular degeneration (nAMD), that may require ongoing treatment for up to 20 years. The MARINA and ANCHOR (ranibizumab) and VIEW (aflibercept) studies of vascular endothelial growth factor (VEGF) inhibitors only lasted 2 years [<span>1-3</span>]. Mean visual or treated eyes improved impressively in the first year, but it was already starting to decline by the end of the second year. Only observational studies can provide data beyond this point.</p><p>Early observational studies reported surprisingly poor outcomes. The SEVEN-UP study, a seven-year follow-up of eyes that had participated in the MARINA and ANCHOR trials of ranibizumab, and incorporated the 2-year HORIZON extension [<span>4</span>], reported that mean visual acuity (VA) had dropped 8.6 letters below the baseline value 7 years after starting treatment after improving by 11.2 letters at 2 years [<span>5</span>]. Macular atrophy was reported to have developed in 98% of treated eyes; in 90% it involved the foveal centre. Fortunately, this finding that all eyes eventually developed macular atrophy was anomalous; it has never been replicated. Persistent activity at the final visit was found in 68% of eyes, indicating the main problem appears to have been gross under-treatment, with an average of only 2 injections given per year for the last 3 years and 41% of eyes stopping treatment altogether. The European AURA study of eyes starting treatment in 2009 did not even find good short-term outcomes: it reported mean improvements in visual acuity of just +2.4 letters at 12 months and +0.6 letters at 24 months, after a mean of only 5.0 and 2.2 injections respectively, again indicating inadequate treatment [<span>6</span>]. It was starting to look like long-term treatment of nAMD with VEGF inhibitors was hardly worth it.</p><p>Outcomes reported around the same time by observational studies from Australia, where the drugs were fully reimbursed without restriction and practitioners generally employed proactive regimens from the start, were substantially better. One 7-year study from the Fight Retinal Blindness! project reported that the mean VA of eyes starting treatment between 2007 and 2010 improved by 6.3 letters after 6 months and remained above the mean presenting VA for around 6 years. Mean VA was 2.6 letters lower than baseline after 7 years. A median of 6 injections was given in the first year followed by 5 injections annually through 7 years. These outcomes demonstrated that reasonably good outcomes could be achieved with VEGF inhibitors for nAMD in real world practice if treatment were adequate [<span>7</span>].</p><p>This issue of <i>The Journal</i> includes a meta-analysis of studies that have reported 10-year outcomes of treatment of nAMD with VEGF inhibitors by Spooner et al. [<span>8</span>] Th
一项研究报道,如果患有nAMD的眼睛没有发生SRFI或MA bbb,接受VEGF抑制剂的眼睛在3年内保持了最初6个月的视力改善。因此,在开发出针对萎缩和纤维化的有效干预措施之前,我们可能看不到nAMD治疗结果的实质性改善。这项荟萃分析提供了来自不同来源的良好证据,表明VEGF抑制剂可以持续给予患者10年,并有合理的结果。当然,并不是所有的眼睛都会出现黄斑萎缩。平均VA下降了近2条线,但在对一些早期随机对照试验中未经治疗的对照组的数据分析中,VA下降了13条线,从而证实了治疗的一个非常实质性的好处,值得付款人的持续支持,并证明了患者经常繁重的治疗负担是合理的。指导抗视网膜失明治疗结果登记,包括湿性黄斑变性。他接受了Oche, Bayer, Apellis和Astellas的项目资助。他从这些公司的顾问委员会和演讲中获得酬金和旅行支持。
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引用次数: 0
Systemic Surveillance Guidelines for Uveal Melanoma: A Systematic Review. 葡萄膜黑色素瘤的系统监测指南:系统综述。
IF 5.6 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2025-09-24 DOI: 10.1111/ceo.70002
Farzana Y Zaman, Aisha Ghaus, Mark Shackleton, Damien Kee, Anthony M Joshua, Roderick O'Day, Malaka Ameratunga

Background: Uveal melanoma (UM) is the most common primary intraocular tumour. Despite effective local therapies, UM has a high risk of metastatic recurrence, most frequently to the liver. A significant proportion of patients treated definitively for primary UM eventually experience metastatic disease. Systemic surveillance to detect recurrence is critical to maximise therapeutic options. Whilst international guidelines exist, there are currently no standardised Australian guidelines for surveillance imaging. This systematic review examines the literature regarding systemic surveillance methods following local treatment for UM.

Methods: Medline, Embase and PubMed databases were searched, from 2010 to 01-07-2024, using keywords related to uveal melanoma and surveillance. Eligible studies were identified by two independent reviewers, and a systematic review was undertaken.

Results: Of 840 records, six guidelines and institutional consensus statements were identified, and an additional 13 studies were included. Most studies were cohort studies (n = 7), with the rest being case-control studies and reliability analyses. Risk stratification methods and surveillance strategies varied, with most studies recommending increased frequency (at least every 6 months) and higher-resolution imaging modalities (MRI over ultrasound) for higher-risk patients.

Conclusion: Despite several published guidelines, existing evidence regarding optimal surveillance strategies in localised primary UM is of variable quality, relying on cohort studies and limited by heterogeneity, as assessed by the modified Newcastle-Ottawa Scale. There is a clear need to further define local practices and outcomes to direct future guidelines.

背景:葡萄膜黑色素瘤(Uveal melanoma, UM)是最常见的原发性眼内肿瘤。尽管有效的局部治疗,UM有转移性复发的高风险,最常见的是肝脏。有相当比例的患者接受了明确的原发性UM治疗,最终会出现转移性疾病。系统监测以发现复发是最大化治疗选择的关键。虽然存在国际准则,但目前还没有标准化的澳大利亚监测成像准则。本系统综述研究了有关UM局部治疗后系统监测方法的文献。方法:检索Medline、Embase和PubMed数据库,检索时间为2010年1月7日至2024年7月1日,检索关键词为葡萄膜黑色素瘤和监测。符合条件的研究由两名独立审稿人确定,并进行系统评价。结果:在840份记录中,确定了6份指南和机构共识声明,并纳入了另外13项研究。大多数研究为队列研究(n = 7),其余为病例对照研究和可靠性分析。风险分层方法和监测策略各不相同,大多数研究建议对高风险患者增加检查频率(至少每6个月一次)和采用更高分辨率的成像方式(MRI over ultrasound)。结论:尽管有一些已发表的指南,但现有的关于局部原发性UM最佳监测策略的证据质量参差不齐,依赖于队列研究,并受到异质性的限制,通过修改的纽卡斯尔-渥太华量表进行评估。显然有必要进一步界定当地的做法和结果,以指导未来的指导方针。
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引用次数: 0
Ten-Year Incidence, Risk Factors and Progression Rate of Macular Atrophy in Neovascular Age-Related Macular Degeneration. 新生血管性年龄相关性黄斑变性患者黄斑萎缩的十年发生率、危险因素及进展率。
IF 5.6 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2025-09-19 DOI: 10.1111/ceo.14608
Francesco Romano, Marco Casaluci, Antonio Valastro, Matteo Airaldi, Paolo Milella, Francesco Pozzo Giuffrida, Elisa Cozzi, Andrea Aretti, Kelvin Yc Teo, Chui Ming Gemmy Cheung, Marco Nassisi, Francesco Viola, Giovanni Staurenghi, Alessandro Invernizzi

Background: To evaluate the 10-year cumulative incidence, progression rates, and risk factors for macular atrophy (MA) in neovascular age-related macular degeneration (nAMD) patients receiving long-term anti-vascular endothelial growth factor (VEGF) therapy.

Methods: Retrospective, multicenter, cohort study including 148 eyes from 140 nAMD patients treated with a pro-re-nata (PRN) anti-VEGF regimen and followed for ≥ 10 years. Annual multimodal imaging-including blue autofluorescence [BAF], spectral-domain optical coherence tomography [SD-OCT] and near-infrared reflectance-was reviewed to detect and quantify MA using RegionFinder. Kaplan-Meier analysis estimated cumulative MA incidence, while mixed-effects Cox and linear regressions identified risk factors and progression rates.

Results: Baseline MA prevalence was 23.0%, increasing to 64.9% at 5 years and 79.8% at 10 years. Foveal involvement occurred in 47.4% of cases. Significant predictors for MA included baseline BCVA < 20/40 (HR = 1.50, p = 0.02), greater central subfield thickness (CST) fluctuations (HR = 1.04, p = 0.01), and more frequent submacular haemorrhages (HR = 1.34, p = 0.04). Type 3 macular neovascularization was associated with fovea-involving MA (HR = 2.03, p = 0.02). Mean MA size increased from 0.34 to 2.27 mm at 10 years, progressing at 0.20 mm/year (β = 0.15, p < 0.001). Eyes with incident MA exhibited faster progression (β = 0.03, p = 0.01) and worse BCVA decline compared to those with baseline MA (-1.96 vs. -1.42 letters/year, p < 0.001).

Conclusions: nAMD patients treated with PRN anti-VEGF therapy demonstrated a high 10-year cumulative incidence of MA (79.8%), with poor baseline BCVA and CST fluctuations as key risk factors. Eyes with incident MA progressed faster and were associated with greater visual decline, suggesting a more visually impactful atrophy.

背景:评估长期接受抗血管内皮生长因子(VEGF)治疗的新生血管性年龄相关性黄斑变性(nAMD)患者10年累积发病率、进展率和黄斑萎缩(MA)的危险因素。方法:回顾性、多中心、队列研究,包括140名接受PRN抗vegf方案治疗的nAMD患者的148只眼睛,随访≥10年。回顾了使用RegionFinder检测和量化MA的年度多模态成像技术,包括蓝色自身荧光(BAF)、光谱域光学相干层析成像(SD-OCT)和近红外反射。Kaplan-Meier分析估计累积MA发病率,而混合效应Cox和线性回归确定危险因素和进展率。结果:基线MA患病率为23.0%,5年增至64.9%,10年增至79.8%。47.4%的病例发生中央凹受累。结论:接受PRN抗vegf治疗的nAMD患者10年累积MA发病率高(79.8%),基线BCVA和CST波动差是关键危险因素。发生MA的眼睛进展更快,并伴有更大的视力下降,提示更严重的视觉影响性萎缩。
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引用次数: 0
Deep Learning-Based Detection of Reticular Pseudodrusen in Age-Related Macular Degeneration. 基于深度学习的老年性黄斑变性网状假性黄斑检测。
IF 5.6 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2025-09-08 DOI: 10.1111/ceo.14607
Himeesh Kumar, Yelena Bagdasarova, Scott Song, Doron G Hickey, Amy C Cohn, Mali Okada, Robert P Finger, Jan H Terheyden, Ruth E Hogg, Pierre-Henry Gabrielle, Louis Arnould, Maxime Jannaud, Xavier Hadoux, Peter van Wijngaarden, Carla J Abbott, Lauren A B Hodgson, Roy Schwartz, Adnan Tufail, Emily Y Chew, Cecilia S Lee, Erica L Fletcher, Melanie Bahlo, Brendan R E Ansell, Alice Pébay, Robyn H Guymer, Aaron Y Lee, Zhichao Wu

Background: Reticular pseudodrusen (RPD) signify a critical phenotype driving vision loss in age-related macular degeneration (AMD). This study sought to develop and externally test a deep learning (DL) model to detect RPD on optical coherence tomography (OCT) scans with expert-level performance.

Methods: RPD were manually segmented in 9800 OCT B-scans from individuals enrolled in a multicentre randomised trial. A DL model for instance segmentation of RPD was developed and evaluated against four retinal specialists in an internal test dataset. The primary outcome was the performance of the DL model for detecting RPD in OCT volumes in five external test datasets compared to two retinal specialists.

Results: In an internal test dataset consisting of 250 OCT B-scans, the DL model produced RPD segmentations that had higher agreement with four retinal specialists (Dice similarity coefficient [DSC] = 0.76) than the agreement amongst the specialists (DSC = 0.68; p < 0.001). In the five external test datasets consisting of 1017 eyes from 812 individuals, the DL model detected RPD in OCT volumes with a similar level of performance as two retinal specialists (area under the receiver operator characteristic curve [AUC] = 0.94, 0.95 and 0.96 respectively; p ≥ 0.32).

Conclusions: We present a DL model for automatic detection of RPD with expert-level performance, which could be used to support the clinical management of AMD. This model has been made publicly available to facilitate future research to understand this critical, yet enigmatic, AMD phenotype.

背景:网状假性黄斑变性(RPD)是导致年龄相关性黄斑变性(AMD)视力丧失的关键表型。本研究旨在开发并外部测试一种深度学习(DL)模型,以检测具有专家级性能的光学相干断层扫描(OCT)扫描上的RPD。方法:在一项多中心随机试验中,对9800名个体的OCT b扫描进行RPD手工分割。开发了一个用于RPD实例分割的DL模型,并在内部测试数据集中对四名视网膜专家进行了评估。主要结果是与两名视网膜专家相比,DL模型在五个外部测试数据集中检测OCT卷中的RPD的性能。结果:在由250个OCT b扫描组成的内部测试数据集中,DL模型产生的RPD分割与四位视网膜专家(Dice相似系数[DSC] = 0.76)的一致性高于专家之间的一致性(DSC = 0.68; p)。结论:我们提出了一个具有专家水平性能的RPD自动检测DL模型,可用于支持AMD的临床管理。该模型已公开提供,以促进未来的研究,以了解这一关键的,但神秘的,AMD表型。
{"title":"Deep Learning-Based Detection of Reticular Pseudodrusen in Age-Related Macular Degeneration.","authors":"Himeesh Kumar, Yelena Bagdasarova, Scott Song, Doron G Hickey, Amy C Cohn, Mali Okada, Robert P Finger, Jan H Terheyden, Ruth E Hogg, Pierre-Henry Gabrielle, Louis Arnould, Maxime Jannaud, Xavier Hadoux, Peter van Wijngaarden, Carla J Abbott, Lauren A B Hodgson, Roy Schwartz, Adnan Tufail, Emily Y Chew, Cecilia S Lee, Erica L Fletcher, Melanie Bahlo, Brendan R E Ansell, Alice Pébay, Robyn H Guymer, Aaron Y Lee, Zhichao Wu","doi":"10.1111/ceo.14607","DOIUrl":"10.1111/ceo.14607","url":null,"abstract":"<p><strong>Background: </strong>Reticular pseudodrusen (RPD) signify a critical phenotype driving vision loss in age-related macular degeneration (AMD). This study sought to develop and externally test a deep learning (DL) model to detect RPD on optical coherence tomography (OCT) scans with expert-level performance.</p><p><strong>Methods: </strong>RPD were manually segmented in 9800 OCT B-scans from individuals enrolled in a multicentre randomised trial. A DL model for instance segmentation of RPD was developed and evaluated against four retinal specialists in an internal test dataset. The primary outcome was the performance of the DL model for detecting RPD in OCT volumes in five external test datasets compared to two retinal specialists.</p><p><strong>Results: </strong>In an internal test dataset consisting of 250 OCT B-scans, the DL model produced RPD segmentations that had higher agreement with four retinal specialists (Dice similarity coefficient [DSC] = 0.76) than the agreement amongst the specialists (DSC = 0.68; p < 0.001). In the five external test datasets consisting of 1017 eyes from 812 individuals, the DL model detected RPD in OCT volumes with a similar level of performance as two retinal specialists (area under the receiver operator characteristic curve [AUC] = 0.94, 0.95 and 0.96 respectively; p ≥ 0.32).</p><p><strong>Conclusions: </strong>We present a DL model for automatic detection of RPD with expert-level performance, which could be used to support the clinical management of AMD. This model has been made publicly available to facilitate future research to understand this critical, yet enigmatic, AMD phenotype.</p>","PeriodicalId":55253,"journal":{"name":"Clinical and Experimental Ophthalmology","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145024888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retinal Viral Gene Therapy: Impact of Route of Administration on Serious Adverse Events—A Systematic Review 视网膜病毒基因治疗:给药途径对严重不良事件的影响——一项系统综述。
IF 5.6 2区 医学 Q1 OPHTHALMOLOGY Pub Date : 2025-08-21 DOI: 10.1111/ceo.14593
Aubrey Berger, Ciera D. Johnson, Alan D. Marmorstein, Brittni A. Scruggs

Background

To explore the prevalence of serious adverse events (SAEs) associated with retinal viral gene therapy and to examine trends influencing SAE occurrences in human gene therapy surgeries and pre-clinical animal trials.

Methods

Literature review was performed to identify peer-reviewed human and animal studies relevant to viral gene therapy, subretinal injections, and intravitreal injections. For clinical trials and post-approval LUXTURNA studies, only those that examined SAEs were included.

Results

Of included clinical trial studies (n = 31), SAEs were recorded in 51 out of 438 eyes (11.6%) that received subretinal injections and in 11 out of 348 eyes (3.2%) that received intravitreal injections. There were fewer intravitreal-related SAEs and less vision loss compared to subretinal gene therapy. Inflammation was the predominant SAE following intravitreal injections, whereas unexplained vision loss was the most common for subretinal injections. Clinical trials utilising subretinal injections met primary or secondary efficacy endpoints more than intravitreal trials. Eighteen studies (429 eyes) of post-approval LUXTURNA were reviewed, and SAEs were reported in 24.7% of eyes, retinal degeneration being most common (20.7%). For 58 animal studies, SAEs were recorded in 17.3% of eyes that received subretinal injections and 8.7% of eyes that received intravitreal injections.

Conclusions

Subretinal injections show higher efficacy than intravitreal injections but are associated with more serious adverse events. Consistent adverse event patterns in humans and large animals highlight their predictive value for safety. There is a need for optimised delivery methods, refined dosing protocols, and improved post-treatment monitoring to improve safety and effectiveness in gene therapy.

背景:探讨与视网膜病毒基因治疗相关的严重不良事件(SAEs)的发生率,并研究影响人类基因治疗手术和临床前动物试验中严重不良事件发生的趋势。方法:进行文献综述,以确定与病毒基因治疗、视网膜下注射和玻璃体内注射相关的同行评审的人类和动物研究。对于临床试验和批准后的LUXTURNA研究,仅包括那些检查sae的研究。结果:在纳入的临床试验研究(n = 31)中,接受视网膜下注射的438只眼中有51只(11.6%)发生了SAEs,接受玻璃体内注射的348只眼中有11只(3.2%)发生了SAEs。与视网膜下基因治疗相比,玻璃体内相关的SAEs更少,视力下降更少。炎症是玻璃体内注射后主要的SAE,而不明原因的视力丧失是视网膜下注射最常见的。使用视网膜下注射的临床试验比玻璃体内试验更能达到主要或次要疗效终点。LUXTURNA获批后的18项研究(429只眼睛)进行了回顾,24.7%的眼睛报告了SAEs,其中视网膜变性最常见(20.7%)。在58项动物研究中,17.3%接受视网膜下注射的眼睛和8.7%接受玻璃体内注射的眼睛记录了SAEs。结论:视网膜下注射比玻璃体内注射更有效,但与更严重的不良事件相关。在人类和大型动物中一致的不良事件模式突出了它们对安全性的预测价值。需要优化给药方法、改进给药方案和改进治疗后监测,以提高基因治疗的安全性和有效性。
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引用次数: 0
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引用次数: 0
期刊
Clinical and Experimental Ophthalmology
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