Cargando…

Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [(18)F]-PSMA-1007 PET-CT

Here, we aimed to develop and validate a fully automated artificial intelligence (AI)-based method for the detection and quantification of suspected prostate tumour/local recurrence, lymph node metastases, and bone metastases from [(18)F]PSMA-1007 positron emission tomography-computed tomography (PE...

Descripción completa

Detalles Bibliográficos
Autores principales:	Trägårdh, Elin, Enqvist, Olof, Ulén, Johannes, Jögi, Jonas, Bitzén, Ulrika, Hedeer, Fredrik, Valind, Kristian, Garpered, Sabine, Hvittfeldt, Erland, Borrelli, Pablo, Edenbrandt, Lars
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497460/ https://www.ncbi.nlm.nih.gov/pubmed/36140502 http://dx.doi.org/10.3390/diagnostics12092101

Ejemplares similares

Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
por: Trägårdh, Elin, et al.
Publicado: (2022)

PET/CT imaging 2 h after injection of [(18)F]PSMA-1007 can lead to higher staging of prostate cancer than imaging after 1 h
por: Hvittfeldt, Erland, et al.
Publicado: (2023)

[(18)F]PSMA-1007 PET is comparable to [(99m)Tc]Tc-DMSA SPECT for renal cortical imaging
por: Valind, Kristian, et al.
Publicado: (2023)

[(18)F]PSMA‐1007 renal uptake parameters: Reproducibility and relationship to estimated glomerular filtration rate
por: Valind, Kristian, et al.
Publicado: (2022)

Dose-reduced [(18)F]PSMA-1007 PET is feasible for functional imaging of the renal cortex
por: Valind, Kristian, et al.
Publicado: (2021)

Biokinetics and dosimetry of (18)F‐PSMA‐1007 in patients with prostate cancer
por: Hvittfeldt, Erland, et al.
Publicado: (2022)

Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
por: Borrelli, Pablo, et al.
Publicado: (2022)

AI-based detection of lung lesions in [(18)F]FDG PET-CT from lung cancer patients
por: Borrelli, Pablo, et al.
Publicado: (2021)

Optimization of [(18)F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer
por: Trägårdh, Elin, et al.
Publicado: (2020)

Assessing the accuracy of [(18)F]PSMA-1007 PET/CT for primary staging of lymph node metastases in intermediate- and high-risk prostate cancer patients
por: Ingvar, Jacob, et al.
Publicado: (2022)

RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology
por: Trägårdh, Elin, et al.
Publicado: (2020)

Artificial intelligence-aided CT segmentation for body composition analysis: a validation study
por: Borrelli, Pablo, et al.
Publicado: (2021)

Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer
por: Ying, Thomas, et al.
Publicado: (2021)

AI-based quantification of whole-body tumour burden on somatostatin receptor PET/CT
por: Gålne, Anni, et al.
Publicado: (2023)

Impact of acquisition time and penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm on a Si-photomultiplier-based PET-CT system for (18)F-FDG
por: Trägårdh, Elin, et al.
Publicado: (2019)

Comparison of conventional and Si-photomultiplier-based PET systems for image quality and diagnostic performance
por: Oddstig, Jenny, et al.
Publicado: (2019)

Adding attenuation corrected images in myocardial perfusion imaging reduces the need for a rest study
por: Trägårdh, Elin, et al.
Publicado: (2013)

Nuclear medicine technologists are able to accurately determine when a myocardial perfusion rest study is necessary
por: Trägårdh, Elin, et al.
Publicado: (2012)

Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth
por: Sartor, Hanna, et al.
Publicado: (2020)

Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival
por: Polymeri, Eirini, et al.
Publicado: (2019)

Artificial Intelligence Increases the Agreement among Physicians Classifying Focal Skeleton/Bone Marrow Uptake in Hodgkin’s Lymphoma Patients Staged with [(18)F]FDG PET/CT—a Retrospective Study
por: Sadik, May, et al.
Publicado: (2022)

Comparison between silicon photomultiplier-based and conventional PET/CT in patients with suspected lung cancer—a pilot study
por: Economou Lundeberg, Johan, et al.
Publicado: (2019)

Convolutional neural network-based automatic heart segmentation and quantitation in (123)I-metaiodobenzylguanidine SPECT imaging
por: Saito, Shintaro, et al.
Publicado: (2021)

Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin’s lymphoma patients staged with FDG-PET/CT
por: Sadik, May, et al.
Publicado: (2021)

Semi-automatic analysis of standard uptake values in serial PET/CT studies in patients with lung cancer and lymphoma
por: Ly, John, et al.
Publicado: (2012)

Skeletal (18)F-PSMA-1007 uptake in prostate cancer patients
por: Janssen, Jorinde, et al.
Publicado: (2023)

Assessment of Ventilation and Perfusion in Patients with COVID-19 Discloses Unique Information of Pulmonary Function to a Clinician: Case Reports of V/P SPECT
por: Bajc, Marika, et al.
Publicado: (2021)

Preclinical comparative study of [(18)F]AlF-PSMA-11 and [(18)F]PSMA-1007 in varying PSMA expressing tumors
por: Piron, Sarah, et al.
Publicado: (2022)

Multiparametric dynamic whole-body PSMA PET/CT using [(68)Ga]Ga-PSMA-11 and [(18)F]PSMA-1007
por: Dias, André H., et al.
Publicado: (2023)

PSMA-Positive Low Malignant Gastrointestinal Stromal Tumor in the Stomach on F-18-PSMA-1007 PET/CT
por: Iversen, Peter, et al.
Publicado: (2022)

Automated classification of PET‐CT lesions in lung cancer: An independent validation study
por: Borrelli, Pablo, et al.
Publicado: (2022)

PSMA-1007 Uptake in Ganglia of the Sympathetic Trunk and Its Intra-individual Reproducibility
por: Mamlins, E., et al.
Publicado: (2022)

(18)F-Labelled PSMA-1007 shows similarity in structure, biodistribution and tumour uptake to the theragnostic compound PSMA-617
por: Giesel, Frederik L., et al.
Publicado: (2016)

Prognosis of patients without perfusion defects with and without rest study in myocardial perfusion scintigraphy
por: Edenbrandt, Lars, et al.
Publicado: (2013)

(18)F-PSMA-1007 PET/CT uptake in multiple angiolipomas caused by PSMA expression in capillaries: a case report
por: Wang, Long, et al.
Publicado: (2021)

Non-prostate uptake on (18)F-PSMA-1007 PET/CT: a case of myeloma
por: Veerasuri, Sowmya, et al.
Publicado: (2020)

[(18)F]F-PSMA-1007 Radiolabelling without an On-Site Cyclotron: A Quality Issue
por: Di Iorio, Valentina, et al.
Publicado: (2021)

(18)F-PSMA-1007 PET in Biochemical Recurrent Prostate Cancer: An Updated Meta-Analysis
por: Ferrari, Matteo, et al.
Publicado: (2021)

Diagnostic accuracy of [(18)F]PSMA-1007 PET/CT in biochemical recurrence of prostate cancer
por: Mingels, Clemens, et al.
Publicado: (2022)

Small average differences in attenuation corrected images between men and women in myocardial perfusion scintigraphy: a novel normal stress database
por: Trägårdh, Elin, et al.
Publicado: (2011)

Cannot write session to /tmp/vufind_sessions/sess_v3h8nqmi7vdv010airdvn5s4gv