{"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}
引用次数: 0
Abstract
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.
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。