Cargando…

A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on (18)F-FDG PET/CT images

PURPOSE: To explore a multidomain fusion model of radiomics and deep learning features based on (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) images to distinguish pancreatic ductal adenocarcinoma (PDAC) and autoimmune pancreatitis (AIP), which could ef...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wei, Wenting, Jia, Guorong, Wu, Zhongyi, Wang, Tao, Wang, Heng, Wei, Kezhen, Cheng, Chao, Liu, Zhaobang, Zuo, Changjing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Nature Singapore 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676903/ https://www.ncbi.nlm.nih.gov/pubmed/36409398 http://dx.doi.org/10.1007/s11604-022-01363-1

Ejemplares similares

Prognostic Evaluation Based on Dual-Time (18)F-FDG PET/CT Radiomics Features in Patients with Locally Advanced Pancreatic Cancer Treated by Stereotactic Body Radiation Therapy
por: Wang, Fei, et al.
Publicado: (2022)

(18)F- FDG PET/CT helps differentiate autoimmune pancreatitis from pancreatic cancer
por: Zhang, Jian, et al.
Publicado: (2017)

Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC) versus Autoimmune Pancreatitis (AIP)
por: Ziegelmayer, Sebastian, et al.
Publicado: (2020)

Spectrum of the Breast Lesions With Increased 18F-FDG Uptake on PET/CT
por: Dong, Aisheng, et al.
Publicado: (2016)

Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer
por: Toyama, Yoshitaka, et al.
Publicado: (2020)

The Impact of Artificial Intelligence CNN Based Denoising on FDG PET Radiomics
por: Jaudet, Cyril, et al.
Publicado: (2021)

Abdominal Kaposiform Hemangioendothelioma Associated With Lymphangiomatosis Involving Mesentery and Ileum: A Case Report of MRI, CT, and 18F-FDG PET/CT Findings
por: Dong, Aisheng, et al.
Publicado: (2016)

Preoperative prediction of lymphovascular invasion of colorectal cancer by radiomics based on 18F-FDG PET-CT and clinical factors
por: Yang, Yan, et al.
Publicado: (2023)

AIP Annual Meeting
por: Abashian, Alexander
Publicado: (1984)

AIP Annual Meeting
por: Margolis, Bernard, et al.
Publicado: (1980)

AIP Annual Meeting
por: Caswell, William E, et al.
Publicado: (1983)

AIP Annual Meeting
por: Heusch, Clemens A, et al.
Publicado: (1982)

AIP Annual Meeting
por: Carlson, Carl E
Publicado: (1975)

AIP Congress 2006
Publicado: (2006)

Assessing radiomic feature robustness to interpolation in (18)F-FDG PET imaging
por: Whybra, Philip, et al.
Publicado: (2019)

Radiomics and supervised machine learning in the diagnosis of parkinsonism with FDG PET: promises and challenges
por: Peng, Shichun, et al.
Publicado: (2020)

Radiomic Features of (18)F-FDG PET in Hodgkin Lymphoma Are Predictive of Outcomes
por: Zhou, Yeye, et al.
Publicado: (2021)

The Influence of the Exclusion of Central Necrosis on [(18)F]FDG PET Radiomic Analysis
por: Noortman, Wyanne A., et al.
Publicado: (2021)

(18)F-FDG PET/CT-based radiomics nomogram could predict bone marrow involvement in pediatric neuroblastoma
por: Feng, Lijuan, et al.
Publicado: (2022)

Deep-Learning Radiomics for Discrimination Conversion of Alzheimer's Disease in Patients With Mild Cognitive Impairment: A Study Based on (18)F-FDG PET Imaging
por: Zhou, Ping, et al.
Publicado: (2021)

Habitat Imaging-Based (18)F-FDG PET/CT Radiomics for the Preoperative Discrimination of Non-small Cell Lung Cancer and Benign Inflammatory Diseases
por: Chen, Ling, et al.
Publicado: (2021)

Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion
por: Xie, Fengyun, et al.
Publicado: (2023)

FDG PET versus CT radiomics to predict outcome in malignant pleural mesothelioma patients
por: Pavic, M., et al.
Publicado: (2020)

Quantitative accuracy of radiomic features of low-dose (18)F-FDG PET imaging
por: Gao, Xin, et al.
Publicado: (2020)

Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules
por: de Koster, Elizabeth J., et al.
Publicado: (2022)

[(18)F]FDG-PET/CT radiomics for the identification of genetic clusters in pheochromocytomas and paragangliomas
por: Noortman, Wyanne A., et al.
Publicado: (2022)

FDG PET and CT radiomics in diagnosis and prognosis of non-small-cell lung cancer
por: Hannequin, Pascal, et al.
Publicado: (2022)

Characterization of Mediastinal Bulky Lymphomas with FDG-PET-Based Radiomics and Machine Learning Techniques
por: Abenavoli, Elisabetta Maria, et al.
Publicado: (2023)

A Non-invasive Radiomic Method Using (18)F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma
por: Li, Longfei, et al.
Publicado: (2019)

Radiomic analysis for predicting prognosis of colorectal cancer from preoperative (18)F-FDG PET/CT
por: Lv, Lilang, et al.
Publicado: (2022)

AIP or ARDS? Not just semantics
por: Singh, Navneet
Publicado: (2006)

AIP and MEN1 mutations and AIP immunohistochemistry in pituitary adenomas in a tertiary referral center
por: Daly, Adrian F, et al.
Publicado: (2019)

Prognostic value of 18F-FDG PET /CT metabolic parameters in patients with locally advanced pancreatic Cancer treated with stereotactic body radiation therapy
por: Ren, Shengnan, et al.
Publicado: (2020)

Frontiers and hotspots of (18)F-FDG PET/CT radiomics: A bibliometric analysis of the published literature
por: Liu, Xinghai, et al.
Publicado: (2022)

Baseline (18)F-FDG PET/CT radiomics for prognosis prediction in diffuse large B cell lymphoma
por: Jing, Fenglian, et al.
Publicado: (2023)

Radiomic assessment of oesophageal adenocarcinoma: a critical review of 18F-FDG PET/CT, PET/MRI and CT
por: O’Shea, Robert J., et al.
Publicado: (2022)

Impact of respiratory motion on (18)F‐FDG PET radiomics stability: Clinical evaluation with a digital PET scanner
por: Chen, Yu‐Hung, et al.
Publicado: (2023)

Feasibility of a CT-based lymph node radiomics nomogram in detecting lymph node metastasis in PDAC patients
por: Li, Qian, et al.
Publicado: (2022)

Implications of reconstruction protocol for histo-biological characterisation of breast cancers using FDG-PET radiomics
por: Aide, Nicolas, et al.
Publicado: (2018)

Usefulness of FDG-PET/CT-Based Radiomics for the Characterization and Genetic Orientation of Pheochromocytomas Before Surgery
por: Ansquer, Catherine, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_nondnb5p73gl416uvtf9uvfebq