Combined 18F‐FDG PET‐CT markers in dementia with Lewy bodies

Author:

Mattoli Maria Vittoria12,Cocciolillo Fabrizio3,Chiacchiaretta Piero45,Dotta Francesco4,Trevisi Gianluca1,Carrarini Claudia67,Thomas Astrid1,Sensi Stefano1,Pizzi Andrea Delli4,Nicola Angelo Domenico Di2,Crosta Adolfo Di89,Mammarella Nicola8,Padovani Alessandro10,Pilotto Andrea1011,Moda Fabio12,Tiraboschi Pietro12,Martino Gianluigi13,Bonanni Laura9

Affiliation:

1. Department of Neuroscience Imaging and Clinical Sciences University G. d'Annunzio of Chieti‐Pescara Chieti Italy

2. Nuclear Medicine Unit Presidio Ospedaliero Santo Spirito Pescara Italy

3. Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia UOC di Medicina Nucleare, Fondazione Policlinico Universitario Agostino Gemelli IRCCS Rome Italy

4. Department of Innovative Technologies in Medicine and Dentistry University G. d'Annunzio of Chieti – Pescara Chieti Italy

5. Advanced Computing Core, Center for Advanced Studies and Technology ‐ C.A.S.T University G. d'Annunzio of Chieti – Pescara Chieti Italy

6. Department of Neuroscience Catholic University of Sacred Heart Rome Italy

7. IRCCS San Raffaele Rome Italy

8. Department of Psychological Science Humanities and Territory University “G. d'Annunzio” of Chieti‐Pescara Chieti Italy

9. Department of Medicine and Aging Sciences University G d'Annunzio of Chieti‐Pescara Chieti Italy

10. Neurology Unit, Department of Clinical and Experimental Sciences University of Brescia Brescia Italy

11. Parkinson's Disease Rehabilitation Centre FERB ONLUS‐S. Isidoro Hospital Trescore Balneario Bergamo Italy

12. Division of Neurology 5 and Neuropathology Fondazione IRCCS Istituto Neurologico Carlo Besta Milan Italy

13. Department of Radiological Sciences, Nuclear Medicine Unite SS. Annunziata Hospital Via dei Vestini 31 Chieti Italy

Abstract

AbstractINTRODUCTION18F‐Fluoro‐deoxyglucose–positron emission tomography (FDG‐PET) is a supportive biomarker in dementia with Lewy bodies (DLB) diagnosis and its advanced analysis methods, including radiomics and machine learning (ML), were developed recently. The aim of this study was to evaluate the FDG‐PET diagnostic performance in predicting a DLB versus Alzheimer's disease (AD) diagnosis.METHODSFDG‐PET scans were visually and semi‐quantitatively analyzed in 61 patients. Radiomics and ML analyses were performed, building five ML models: (1) clinical features; (2) visual and semi‐quantitative PET features; (3) radiomic features; (4) all PET features; and (5) overall features.RESULTSAt follow‐up, 34 patients had DLB and 27 had AD. At visual analysis, DLB PET signs were significantly more frequent in DLB, having the highest diagnostic accuracy (86.9%). At semi‐quantitative analysis, the right precuneus, superior parietal, lateral occipital, and primary visual cortices showed significantly reduced uptake in DLB. The ML model 2 had the highest diagnostic accuracy (84.3%).DISCUSSIONFDG‐PET is a valuable tool in DLB diagnosis, having visual and semi‐quantitative analyses with the highest diagnostic accuracy at ML analyses.

Publisher

Wiley

Subject

Psychiatry and Mental health,Neurology (clinical)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3