• 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

放射组学:精神疾病领域下一个潜在的“组学”;概述

Radiomics; A Potential Next "Omics" in Psychiatric Disorders; An Introduction.

作者信息

Alizadeh Mohammadreza, Tanwar Manoj, Sarrami Amir H, Shahidi Ramin, Singhal Aparna, Sotoudeh Houman

机构信息

Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran.

Department of Radiology, Heersink School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.

出版信息

Psychiatry Investig. 2023 Jul;20(7):583-592. doi: 10.30773/pi.2022.0336. Epub 2023 Jul 7.

DOI:10.30773/pi.2022.0336
PMID:37409371
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10397773/
Abstract

Psychiatric disorders remain one of the most debilitating conditions; however, most patients are never diagnosed and do not seek treatment. Despite its massive burden on modern society and the health system, many hurdles prevent proper diagnosis and management of these disorders. The diagnosis is primarily based on clinical symptoms, and efforts to find appropriate biomarkers have not been practical. Through the past years, researchers have put a tremendous effort into finding biomarkers in "omics" fields: genomics, transcriptomics, proteomics, metabolomics, and epigenomics. This article reviews the evolving field of radiomics and its role in diagnosing psychiatric disorders as the sixth potential "omics." The first section of this paper elaborates on the definition of radiomics and its potential to provide a detailed structural study of the brain. Following that, we have provided the latest promising results of this novel approach in a broad range of psychiatric disorders. Radiomics fits well within the concept of psychoradiology. Besides volumetric analysis, radiomics takes advantage of many other features. This technique may open a new field in psychiatry for diagnosing and classifying psychiatric disorders and treatment response prediction in the era of precision and personalized medicine. The initial results are encouraging, but radiomics in psychiatry is still in its infancy. Despite the extensive burden of psychiatric disorders, there are very few published studies in this field, with small patient populations. The lack of prospective multi-centric studies and heterogeneity of studies in design are the significant barriers against the clinical adaptation of radiomics in psychoradiology.

摘要

精神疾病仍然是最使人衰弱的病症之一;然而,大多数患者从未得到诊断,也未寻求治疗。尽管精神疾病给现代社会和卫生系统带来了巨大负担,但许多障碍阻碍了对这些疾病的正确诊断和管理。诊断主要基于临床症状,寻找合适生物标志物的努力一直未取得实际成效。在过去几年里,研究人员在“组学”领域投入了巨大努力,包括基因组学、转录组学、蛋白质组学、代谢组学和表观基因组学,以寻找生物标志物。本文回顾了放射组学这一不断发展的领域及其作为第六种潜在“组学”在精神疾病诊断中的作用。本文第一部分阐述了放射组学的定义及其对大脑进行详细结构研究的潜力。随后,我们提供了这种新方法在广泛精神疾病中的最新有前景的结果。放射组学非常符合精神放射学的概念。除了体积分析外,放射组学还利用了许多其他特征。在精准和个性化医疗时代,这项技术可能会在精神病学领域开辟一个用于诊断和分类精神疾病以及预测治疗反应的新领域。初步结果令人鼓舞,但精神病学中的放射组学仍处于起步阶段。尽管精神疾病负担沉重,但该领域发表的研究很少,患者群体规模也小。缺乏前瞻性多中心研究以及研究设计的异质性是阻碍放射组学在精神放射学中临床应用的重大障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/618f/10397773/5499a84541db/pi-2022-0336f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/618f/10397773/f8758036f9a4/pi-2022-0336f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/618f/10397773/5499a84541db/pi-2022-0336f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/618f/10397773/f8758036f9a4/pi-2022-0336f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/618f/10397773/5499a84541db/pi-2022-0336f2.jpg

相似文献

1
Radiomics; A Potential Next "Omics" in Psychiatric Disorders; An Introduction.放射组学:精神疾病领域下一个潜在的“组学”;概述
Psychiatry Investig. 2023 Jul;20(7):583-592. doi: 10.30773/pi.2022.0336. Epub 2023 Jul 7.
2
Letter to the Editor: CONVERGENCES AND DIVERGENCES IN THE ICD-11 VS. DSM-5 CLASSIFICATION OF MOOD DISORDERS.给编辑的信:《ICD-11 与 DSM-5 心境障碍分类的趋同与分歧》
Turk Psikiyatri Derg. 2021;32(4):293-295. doi: 10.5080/u26899.
3
Biomarker-Guided Tailored Therapy.基于生物标志物的个体化治疗。
Adv Exp Med Biol. 2019;1192:199-224. doi: 10.1007/978-981-32-9721-0_10.
4
[Alpha-interferon and mental disorders].[α-干扰素与精神障碍]
Encephale. 2001 Jul-Aug;27(4):308-17.
5
Pharmacogenomics in the treatment of mood disorders: Strategies and Opportunities for personalized psychiatry.药物基因组学在情绪障碍治疗中的应用:个性化精神病学的策略与机遇
EPMA J. 2017 Sep 5;8(3):211-227. doi: 10.1007/s13167-017-0112-8. eCollection 2017 Sep.
6
Omics-Based Investigations of Breast Cancer.基于组学的乳腺癌研究。
Molecules. 2023 Jun 14;28(12):4768. doi: 10.3390/molecules28124768.
7
The Need for Multi-Omics Biomarker Signatures in Precision Medicine.精准医学中多组学生物标志物特征的必要性。
Int J Mol Sci. 2019 Sep 26;20(19):4781. doi: 10.3390/ijms20194781.
8
Multi-omics data integration methods and their applications in psychiatric disorders.多组学数据整合方法及其在精神疾病中的应用。
Eur Neuropsychopharmacol. 2023 Apr;69:26-46. doi: 10.1016/j.euroneuro.2023.01.001. Epub 2023 Jan 25.
9
Transcriptomics and magnetic resonance imaging in major psychiatric disorders.重性精神障碍中的转录组学与磁共振成像
Front Psychiatry. 2023 Jun 9;14:1185471. doi: 10.3389/fpsyt.2023.1185471. eCollection 2023.
10
Translational Metabolomics of Head Injury: Exploring Dysfunctional Cerebral Metabolism with Ex Vivo NMR Spectroscopy-Based Metabolite Quantification头部损伤的转化代谢组学:基于体外核磁共振波谱的代谢物定量分析探索脑代谢功能障碍

引用本文的文献

1
Artificial Intelligence in Medicine: A Specialty-Level Overview of Emerging AI Trends.医学中的人工智能:新兴人工智能趋势的专业层面概述。
JSLS. 2025 Jul-Sep;29(3). doi: 10.4293/JSLS.2025.00041. Epub 2025 Sep 3.
2
AI-assisted early screening, diagnosis, and intervention for autism in young children.人工智能辅助幼儿自闭症的早期筛查、诊断及干预。
Front Psychiatry. 2025 Apr 14;16:1513809. doi: 10.3389/fpsyt.2025.1513809. eCollection 2025.
3
Radiomic tractometry reveals tract-specific imaging biomarkers in white matter.放射组学示踪技术揭示了白质中具有束特异性的影像学生物标志物。

本文引用的文献

1
Joint EANM/SNMMI guideline on radiomics in nuclear medicine : Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation and Data Sciences Council.核医学影像组学 EANM/SNMMI 指南:由 EANM 物理委员会和 SNMMI 物理、仪器和数据科学委员会共同支持。
Eur J Nucl Med Mol Imaging. 2023 Jan;50(2):352-375. doi: 10.1007/s00259-022-06001-6. Epub 2022 Nov 3.
2
Gray and white matter structural examination for diagnosis of major depressive disorder and subthreshold depression in adolescents and young adults: a preliminary radiomics analysis.青少年和年轻成年人中重度抑郁症和亚临床抑郁症的灰白质结构检查:初步放射组学分析。
BMC Med Imaging. 2022 Sep 12;22(1):164. doi: 10.1186/s12880-022-00892-5.
3
Nat Commun. 2024 Jan 5;15(1):303. doi: 10.1038/s41467-023-44591-3.
Analysis of New Biomarkers for the Study of Schizophrenia Following a Radiomics Approach on MR and PET Imaging.
基于 MR 和 PET 影像的放射组学方法分析精神分裂症的新型生物标志物
Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:234-237. doi: 10.1109/EMBC48229.2022.9871543.
4
Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features.利用静息态脑功能放射组学特征的机器学习预测青年社交焦虑
Sci Rep. 2022 Aug 17;12(1):13932. doi: 10.1038/s41598-022-17769-w.
5
Clinical and radiomic features for predicting the treatment response of repetitive transcranial magnetic stimulation in major neurocognitive disorder: Results from a randomized controlled trial.用于预测大神经认知障碍重复经颅磁刺激治疗反应的临床和放射组学特征:一项随机对照试验的结果。
Hum Brain Mapp. 2022 Dec 15;43(18):5579-5592. doi: 10.1002/hbm.26032. Epub 2022 Aug 1.
6
Adolescents' lived experience of panic disorder: an interpretative phenomenological analysis.青少年惊恐障碍的生活体验:诠释现象学分析。
BMC Psychol. 2022 Jun 6;10(1):143. doi: 10.1186/s40359-022-00849-x.
7
An interpretable radiomics model for the diagnosis of panic disorder with or without agoraphobia using magnetic resonance imaging.一种用于利用磁共振成像诊断伴或不伴有广场恐惧症的惊恐障碍的可解释性放射组学模型。
J Affect Disord. 2022 May 15;305:47-54. doi: 10.1016/j.jad.2022.02.072. Epub 2022 Mar 3.
8
MRI-Based Radiomic Machine-Learning Model May Accurately Distinguish between Subjects with Internet Gaming Disorder and Healthy Controls.基于磁共振成像的放射组学机器学习模型可能准确区分患有网络游戏障碍的受试者与健康对照者。
Brain Sci. 2021 Dec 29;12(1):44. doi: 10.3390/brainsci12010044.
9
Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.全球、区域和国家 204 个地区 1990-2019 年 12 种精神障碍疾病的负担:基于 2019 年全球疾病负担研究的系统分析。
Lancet Psychiatry. 2022 Feb;9(2):137-150. doi: 10.1016/S2215-0366(21)00395-3. Epub 2022 Jan 10.
10
Radiomics in Oncology: A Practical Guide.肿瘤放射组学:实用指南。
Radiographics. 2021 Oct;41(6):1717-1732. doi: 10.1148/rg.2021210037.