A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET

被引：0

作者：

Kobra Etminani

Amira Soliman

Anette Davidsson

Jose R. Chang

Begoña Martínez-Sanchis

Stefan Byttner

Valle Camacho

Matteo Bauckneht

Roxana Stegeran

Marcus Ressner

Marc Agudelo-Cifuentes

Andrea Chincarini

Matthias Brendel

Axel Rominger

Rose Bruffaerts

Rik Vandenberghe

Milica G. Kramberger

Maja Trost

Nicolas Nicastro

Giovanni B. Frisoni

Afina W. Lemstra

Bart N. M. van Berckel

Andrea Pilotto

Alessandro Padovani

Silvia Morbelli

Dag Aarsland

Flavio Nobili

Valentina Garibotto

Miguel Ochoa-Figueroa

机构：

[1] Halmstad University,Center for Applied Intelligent Systems Research (CAISR)

[2] Linköping University,Department of Clinical Physiology, Department of Health, Medicine and Caring Sciences

[3] National Cheng Kung University in Tainan,Department of Nuclear Medicine, Medical Imaging Area

[4] Hospital Universitari i Politècnic La Fe,Servicio de Medicina Nuclear, Hospital de La Santa Creu I Sant Pau

[5] Universitat Autònoma de Barcelona,Nuclear Medicine Unit

[6] IRCCS Ospedale Policlinico San Martino,Department of Diagnostic Radiology

[7] Linköping University Hospital,Department of Medical Physics

[8] Linköping University Hospital,Department of Nuclear Medicine

[9] National Institute of Nuclear Physics (INFN),Department of Nuclear Medicine, Inselspital

[10] University Hospital,Department of Neurosciences

[11] LMU Munich,Neurology Department

[12] University Hospital Bern,Biomedical Research Institute

[13] Laboratory for Cognitive Neurology,Department of Neurology

[14] University Hospitals Leuven,Faculty of Medicine

[15] Hasselt University,Department of Clinical Neurosciences

[16] University Medical Centre,LANVIE (Laboratoire de Neuroimagerie du Vieillissement), Department of Psychiatry

[17] University of Ljubljana,Department of Radiology & Nuclear Medicine

[18] Geneva University Hospitals,Neurology Unit, Department of Clinical and Experimental Sciences

[19] University Hospitals,Department of Health Sciences

[20] Department of Neurology,Centre for Age

[21] Alzheimer Center,Related Medicine (SESAM)

[22] Amsterdam UMC,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience

[23] location VUmc,Department of Neuroscience (DINOGMI)

[24] University of Brescia,Clinical Neurology

[25] Parkinson’s Disease Rehabilitation Centre,Division of Nuclear Medicine and Molecular Imaging

[26] University of Genoa,Center for Medical Image Science and Visualization (CMIV)

[27] Stavanger University Hospital,undefined

[28] King’s College London,undefined

[29] University of Genoa,undefined

[30] IRCCS Ospedale Policlinico San Martino,undefined

[31] University Hospitals of Geneva and NIMTLab,undefined

[32] Faculty of Medicine,undefined

[33] University of Geneva,undefined

[34] Linköping University,undefined

来源：

European Journal of Nuclear Medicine and Molecular Imaging | 2022年 / 49卷

关键词：

Artificial intelligence; Deep learning; FDG PET; Alzheimer’s disease; Mild cognitive impairment; Dementia with Lewy bodies;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：563 / 584

页数：21

共 50 条

[31] Comparison of 18F-FDG PET and arterial spin labeling MRI in evaluating Alzheimer’s disease and amnestic mild cognitive impairment using integrated PET/MR
Sheng Bi
Shaozhen Yan
Zhigeng Chen
Bixiao Cui
Yi Shan
Hongwei Yang
Zhigang Qi
Zhilian Zhao
Ying Han
Jie Lu
EJNMMI Research, 14
[32] Comparison of 18F-FDG PET and arterial spin labeling MRI in evaluating Alzheimer's disease and amnestic mild cognitive impairment using integrated PET/MR
Bi, Sheng
Yan, Shaozhen
Chen, Zhigeng
Cui, Bixiao
Shan, Yi
Yang, Hongwei
Qi, Zhigang
Zhao, Zhilian
Han, Ying
Lu, Jie
EJNMMI RESEARCH, 2024, 14 (01)
[33] Fully automatic differential diagnosis system for dementia with Lewy bodies and Alzheimer’s disease using FDG-PET and 3D-SSP
Atsushi K. Kono
Kazunari Ishii
Keitaro Sofue
Naokazu Miyamoto
Setsu Sakamoto
Etsuro Mori
European Journal of Nuclear Medicine and Molecular Imaging, 2007, 34 : 1490 - 1497
[34] Global brain 18F-Florbetapir and 18F-FDG PET measurement comparison in diagnosis of Alzheimer's disease
Khosravi, Mohsen
Newberg, Andrew
Shamchi, Sara Pourhassan
Serruya, Mijail
Wintering, Nancy
Taghvaei, Raheleh
Werner, Thomas
Alavi, Abass
JOURNAL OF NUCLEAR MEDICINE, 2017, 58
[35] Alzheimer Disease and Mild Cognitive Impairment: Integrated Pulsed Arterial Spin-labeling MRI and 18F-FDG PET
Riederer, Isabelle
Bohn, Karl Peter
Preibisch, Christine
Wiedemann, Eva
Zimmer, Claus
Alexopoulos, Panagiotis
Foerster, Stefan
RADIOLOGY, 2018, 288 (01) : 198 - 206
[36] Combination of 18F-FDG PET and Cerebrospinal Fluid Biomarkers as a Better Predictor of the Progression to Alzheimer's Disease in Mild Cognitive Impairment Patients
Choo, Il Han
Ni, Ruiqing
Scholl, Michael
Wall, Anders
Almkvist, Ove
Nordberg, Agneta
JOURNAL OF ALZHEIMERS DISEASE, 2013, 33 (04) : 929 - 939
[37] 18F-FDG PET database of longitudinally confirmed healthy elderly individuals improves detection of mild cognitive impairment and Alzheimer's disease
Mosconi, Lisa
Tsui, Wai Hon
Pupi, Alberto
De Santi, Susan
Drzezga, Alexander
Minoshima, Satoshi
de Leon, Mony J.
JOURNAL OF NUCLEAR MEDICINE, 2007, 48 (07) : 1129 - 1134
[38] Brain 18F-FDG PET for Clinical Dementia Workup: Differential Diagnosis of Alzheimer's Disease and Other Types of Dementing Disorders
Minoshima, Satoshi
Mosci, Karina
Cross, Donna
Thientunyakit, Tanyaluck
SEMINARS IN NUCLEAR MEDICINE, 2021, 51 (03) : 230 - 240
[39] Early Diagnosis of Alzheimer's Disease Using 18F-FDG PET With Soften Latent Representation
Rehman, Abdul
Yi, Myung-Kyu
Majeed, Abdul
Hwang, Seong Oun
IEEE ACCESS, 2024, 12 : 87923 - 87933
[40] Neuroimaging characteristics of stable mild cognitive impairment, prodromal Alzheimer's disease and prodromal dementia with Lewy bodies
Siddiqui, T. G.
Whitfield, T.
Praharaju, S. J.
Sadiq, D.
Kazmi, H.
Ben-Joseph, A.
Walker, Z.
EUROPEAN JOURNAL OF NEUROLOGY, 2020, 27 : 260 - 260

← 1 2 3 4 5 →