{"title":"Radiomics insight into the neurodegenerative \"<i>hot\"</i> brain: A narrative review from the nuclear medicine perspective.","authors":"Gayane Aghakhanyan, Gianfranco Di Salle, Salvatore Claudio Fanni, Roberto Francischello, Dania Cioni, Mirco Cosottini, Duccio Volterrani, Emanuele Neri","doi":"10.3389/fnume.2023.1143256","DOIUrl":null,"url":null,"abstract":"<p><p>The application of radiomics for non-oncologic diseases is currently emerging. Despite its relative infancy state, the evidence highlights the potential of radiomics approaches to serve as neuroimaging biomarkers in the field of the neurodegenerative brain. This systematic review presents the last progress and potential application of radiomics in the field of neurodegenerative nuclear imaging applied to positron-emission tomography (PET) and single-photon emission computed tomography (SPECT) by focusing mainly on the two most common neurodegenerative disorders, Alzheimer's (AD) and Parkinson's disease (PD). A comprehensive review of the current literature was performed using the PubMed and Web of Science databases up to November 2022. The final collection of eighteen relevant publications was grouped as AD-related and PD-related. The main efforts in the field of AD dealt with radiomics-based early diagnosis of preclinical AD and the prediction of MCI to AD conversion, meanwhile, in the setting of PD, the radiomics techniques have been used in the attempt to improve the assessment of PD diagnosis, the differential diagnosis between PD and other parkinsonism, severity assessment, and outcome prediction. Although limited evidence with relatively small cohort studies, it seems that radiomics-based analysis using nuclear medicine tools, mainly [18F]Fluorodeoxyglucose (FDG) and <i>β</i>-amyloid (A<i>β</i>) PET, and dopamine transporter (DAT) SPECT, can be used for computer-aided diagnoses in AD-continuum and parkinsonian disorders. Combining nuclear radiomics analysis with clinical factors and introducing a multimodality approach can significantly improve classification and prediction efficiency in neurodegenerative disorders.</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11440921/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in nuclear medicine (Lausanne, Switzerland)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fnume.2023.1143256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The application of radiomics for non-oncologic diseases is currently emerging. Despite its relative infancy state, the evidence highlights the potential of radiomics approaches to serve as neuroimaging biomarkers in the field of the neurodegenerative brain. This systematic review presents the last progress and potential application of radiomics in the field of neurodegenerative nuclear imaging applied to positron-emission tomography (PET) and single-photon emission computed tomography (SPECT) by focusing mainly on the two most common neurodegenerative disorders, Alzheimer's (AD) and Parkinson's disease (PD). A comprehensive review of the current literature was performed using the PubMed and Web of Science databases up to November 2022. The final collection of eighteen relevant publications was grouped as AD-related and PD-related. The main efforts in the field of AD dealt with radiomics-based early diagnosis of preclinical AD and the prediction of MCI to AD conversion, meanwhile, in the setting of PD, the radiomics techniques have been used in the attempt to improve the assessment of PD diagnosis, the differential diagnosis between PD and other parkinsonism, severity assessment, and outcome prediction. Although limited evidence with relatively small cohort studies, it seems that radiomics-based analysis using nuclear medicine tools, mainly [18F]Fluorodeoxyglucose (FDG) and β-amyloid (Aβ) PET, and dopamine transporter (DAT) SPECT, can be used for computer-aided diagnoses in AD-continuum and parkinsonian disorders. Combining nuclear radiomics analysis with clinical factors and introducing a multimodality approach can significantly improve classification and prediction efficiency in neurodegenerative disorders.
放射组学在非肿瘤疾病中的应用目前正在兴起。尽管其处于相对婴儿期,但证据突出了放射组学方法在神经退行性脑领域作为神经成像生物标志物的潜力。本系统综述了放射组学在神经退行性核成像领域的最新进展和潜在应用,主要集中在阿尔茨海默病(AD)和帕金森病(PD)这两种最常见的神经退行性疾病上,应用于正电子发射断层扫描(PET)和单光子发射计算机断层扫描(SPECT)。截至2022年11月,使用PubMed和Web of Science数据库对当前文献进行了全面综述。最终收集的18种相关出版物分为AD相关出版物和PD相关出版物。AD领域的主要工作涉及基于放射组学的临床前AD早期诊断和MCI向AD转化的预测,同时,在PD的背景下,放射组学技术已被用于改善PD诊断的评估、PD与其他帕金森病的鉴别诊断、严重程度评估和结果预测。尽管相对较小的队列研究证据有限,但使用核医学工具(主要是[18F]氟脱氧葡萄糖(FDG)和β-淀粉样蛋白(Aβ)PET以及多巴胺转运蛋白(DAT)SPECT)进行的基于放射组学的分析似乎可用于AD连续体和帕金森病的计算机辅助诊断。将核放射组学分析与临床因素相结合,并引入多模态方法,可以显著提高神经退行性疾病的分类和预测效率。