与 SDH 相关的头颈部副神经节瘤:揭示 18F-FDG 以外的 PET 放射组学。

Alessio Imperiale, Valentina Berti
{"title":"与 SDH 相关的头颈部副神经节瘤:揭示 18F-FDG 以外的 PET 放射组学。","authors":"Alessio Imperiale, Valentina Berti","doi":"10.1016/j.beem.2024.101926","DOIUrl":null,"url":null,"abstract":"<p><p>Radiomics revolutionizes medical imaging by providing quantitative analysis that complements traditional qualitative assessments through advanced computational techniques. In this narrative review we have investigated the impact of succinate dehydrogenase (SDH) pathogenic variants on the radiomic profile of <sup>18</sup>F-FDG, <sup>18</sup>F-DOPA, and <sup>68</sup>Ga-DOTA-peptides PET in paragangliomas, focusing on head and neck localizations (HNPGLs). This influence manifests in uptake intensity and textural heterogeneity, revealing a complex radiomic landscape that may reflect specific tumor behaviors and mutation statuses. By combining radiomic analysis with genetic data, we will gain new insights into the relationship between PET imaging features and underlying molecular changes. In the future, we envision an approach integrating macroscopic indices, such as lesion location, size, and SUV, with advanced computer-based algorithms. This comprehensive analysis could facilitate in vivo predictions of SDH pathogenic variants, thereby encouraging genetic testing, and ultimately improving patient outcomes.</p>","PeriodicalId":93894,"journal":{"name":"Best practice & research. Clinical endocrinology & metabolism","volume":" ","pages":"101926"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SDH-related head and neck paragangliomas: Unraveling PET radiomics beyond <sup>18</sup>F-FDG.\",\"authors\":\"Alessio Imperiale, Valentina Berti\",\"doi\":\"10.1016/j.beem.2024.101926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Radiomics revolutionizes medical imaging by providing quantitative analysis that complements traditional qualitative assessments through advanced computational techniques. In this narrative review we have investigated the impact of succinate dehydrogenase (SDH) pathogenic variants on the radiomic profile of <sup>18</sup>F-FDG, <sup>18</sup>F-DOPA, and <sup>68</sup>Ga-DOTA-peptides PET in paragangliomas, focusing on head and neck localizations (HNPGLs). This influence manifests in uptake intensity and textural heterogeneity, revealing a complex radiomic landscape that may reflect specific tumor behaviors and mutation statuses. By combining radiomic analysis with genetic data, we will gain new insights into the relationship between PET imaging features and underlying molecular changes. In the future, we envision an approach integrating macroscopic indices, such as lesion location, size, and SUV, with advanced computer-based algorithms. This comprehensive analysis could facilitate in vivo predictions of SDH pathogenic variants, thereby encouraging genetic testing, and ultimately improving patient outcomes.</p>\",\"PeriodicalId\":93894,\"journal\":{\"name\":\"Best practice & research. Clinical endocrinology & metabolism\",\"volume\":\" \",\"pages\":\"101926\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Best practice & research. Clinical endocrinology & metabolism\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.beem.2024.101926\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Best practice & research. Clinical endocrinology & metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.beem.2024.101926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

放射组学通过先进的计算技术提供定量分析,补充了传统的定性评估,从而彻底改变了医学成像技术。在这篇叙述性综述中,我们研究了琥珀酸脱氢酶(SDH)致病变体对副神经节瘤18F-FDG、18F-DOPA和68Ga-DOTA-肽正电子发射计算机断层成像的放射组学特征的影响,重点是头颈部定位(HNPGL)。这种影响表现为摄取强度和纹理异质性,揭示了可能反映特定肿瘤行为和突变状态的复杂放射组学景观。通过将放射组学分析与基因数据相结合,我们将获得 PET 成像特征与潜在分子变化之间关系的新见解。未来,我们设想一种将病灶位置、大小和 SUV 等宏观指标与先进的计算机算法相结合的方法。这种综合分析有助于在体内预测 SDH 的致病变异,从而鼓励基因检测,最终改善患者的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SDH-related head and neck paragangliomas: Unraveling PET radiomics beyond 18F-FDG.

Radiomics revolutionizes medical imaging by providing quantitative analysis that complements traditional qualitative assessments through advanced computational techniques. In this narrative review we have investigated the impact of succinate dehydrogenase (SDH) pathogenic variants on the radiomic profile of 18F-FDG, 18F-DOPA, and 68Ga-DOTA-peptides PET in paragangliomas, focusing on head and neck localizations (HNPGLs). This influence manifests in uptake intensity and textural heterogeneity, revealing a complex radiomic landscape that may reflect specific tumor behaviors and mutation statuses. By combining radiomic analysis with genetic data, we will gain new insights into the relationship between PET imaging features and underlying molecular changes. In the future, we envision an approach integrating macroscopic indices, such as lesion location, size, and SUV, with advanced computer-based algorithms. This comprehensive analysis could facilitate in vivo predictions of SDH pathogenic variants, thereby encouraging genetic testing, and ultimately improving patient outcomes.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信