Cargando…

Automatic Segmentation of Metastatic Breast Cancer Lesions on (18)F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment

SIMPLE SUMMARY: In the recent years, several deep learning methods for medical image segmentation have been developed for different purposes such as diagnosis, radiotherapy planning or to correlate images findings with other clinical data. However, few studies focus on longitudinal images and respon...

Descripción completa

Detalles Bibliográficos
Autores principales:	Moreau, Noémie, Rousseau, Caroline, Fourcade, Constance, Santini, Gianmarco, Brennan, Aislinn, Ferrer, Ludovic, Lacombe, Marie, Guillerminet, Camille, Colombié, Mathilde, Jézéquel, Pascal, Campone, Mario, Normand, Nicolas, Rubeaux, Mathieu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750371/ https://www.ncbi.nlm.nih.gov/pubmed/35008265 http://dx.doi.org/10.3390/cancers14010101

Ejemplares similares

The EPICURE study: a pilot prospective cohort study of heterogeneous and massive data integration in metastatic breast cancer patients
por: Colombié, Mathilde, et al.
Publicado: (2021)

Prognostic Impact of Pretherapeutic FDG-PET in Localized Anal Cancer
por: Le Thiec, Maelle, et al.
Publicado: (2020)

Assessment of Lymph Nodes and Prostate Status Using Early Dynamic Curves with (18)F-Choline PET/CT in Prostate Cancer
por: Mathieu, Cédric, et al.
Publicado: (2015)

Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [(18)F]FDG PET/CT in Early Triple-Negative Breast Cancer
por: Bouron, Clément, et al.
Publicado: (2022)

Advantages of systematic trunk SPECT/CT to planar bone scan (PBS) in more than 300 patients with breast or prostate cancer
por: Fleury, Vincent, et al.
Publicado: (2018)

Clinical and Survival Impact of FDG PET in Patients with Suspicion of Recurrent Ovarian Cancer: A 6-Year Follow-Up
por: Rusu, Daniela, et al.
Publicado: (2015)

Haute Couture or Ready-To-Wear? Tailored Pelvic Radiotherapy for Prostate Cancer Based on Individualized Sentinel Lymph Node Detection
por: Michaud, Anne-Victoire, et al.
Publicado: (2020)

Initial FDG-PET/CT predicts survival in adults Ewing sarcoma family of tumors
por: Jamet, Bastien, et al.
Publicado: (2017)

Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT
por: Išgum, Ivana, et al.
Publicado: (2017)

Conference on Automatic Acquisition and Reduction of Nuclear Data
por: Beckurts, K H, et al.
Publicado: (1964)

Assessment of acquisition protocols for routine imaging of Y-90 using PET/CT
por: Carlier, Thomas, et al.
Publicado: (2013)

Past and Trends in Cough Sound Acquisition, Automatic Detection and Automatic Classification: A Comparative Review
por: Serrurier, Antoine, et al.
Publicado: (2022)

International Symposium on Automatic Demonstration
por: Lacombe, D, et al.
Publicado: (1970)

Comment on ‘How the evolution of multicellularity set the stage for cancer’
por: Jézéquel, Pascal, et al.
Publicado: (2018)

Focus on the Controversial Aspects of (64)Cu-ATSM in Tumoral Hypoxia Mapping by PET Imaging
por: Colombié, Mathilde, et al.
Publicado: (2015)

Automatic LV localization and view planning for cardiac MRI acquisition
por: Kellman, Peter, et al.
Publicado: (2011)

Simulation de la réaction proton-proton aux très hautes énergies
por: Guillerminet, Bernard
Publicado: (1977)

Automatic segmentation of ablation lesions and termination of the image acquisition/analysis process
por: Shmatukha, Andriy V, et al.
Publicado: (2011)

Q measurement with swept RC filter for automatic data acquisition and display
por: Potier, J P, et al.
Publicado: (1973)

The Modeling of Super Deep Learning Aiming at Knowledge Acquisition in Automatic Driving
por: Liang, Yin, et al.
Publicado: (2022)

From a PMT-based to a SiPM-based PET system: a study to define matched acquisition/reconstruction parameters and NEMA performance of the Biograph Vision 450
por: Carlier, Thomas, et al.
Publicado: (2020)

Development and validation of core entrustable professional activities for abdominal radiology
por: Paisant, Anita, et al.
Publicado: (2023)

FDG kinetic modeling in small rodent brain PET: optimization of data acquisition and analysis
por: Alf, Malte F, et al.
Publicado: (2013)

Automatic extraction of subordinate clauses and its application in second language acquisition research
por: Chen, Xiaobin, et al.
Publicado: (2020)

Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis
por: Costa, Giovanni, et al.
Publicado: (2022)

Automatic correction of performance drift under acquisition shift in medical image classification
por: Roschewitz, Mélanie, et al.
Publicado: (2023)

Patient-specific optimisation of administered activity and acquisition times for (18)F-FDG PET imaging
por: Wickham, Fred, et al.
Publicado: (2017)

miR-720 is a downstream target of an ADAM8-induced ERK signaling cascade that promotes the migratory and invasive phenotype of triple-negative breast cancer cells
por: Das, Sonia G., et al.
Publicado: (2016)

Automatic classification of lymphoma lesions in FDG-PET–Differentiation between tumor and non-tumor uptake
por: Georgi, Thomas W, et al.
Publicado: (2022)

Automatic honesty forgoing reward acquisition and punishment avoidance: a functional MRI investigation
por: Yoneda, Mei, et al.
Publicado: (2017)

Dynamically Reconfigurable Data Readout of Pixel Detectors for Automatic Synchronization with Data Acquisition Systems
por: Fahim, Farah, et al.
Publicado: (2020)

New Machine Learning Model Application for the Automatic LHC Collimator Beam-Based Alignment
por: Azzopardi, Gabriella, et al.
Publicado: (2022)

Japanese guideline for the oncology FDG-PET/CT data acquisition protocol: synopsis of Version 2.0
por: Fukukita, Hiroyoshi, et al.
Publicado: (2014)

Feasibility of Acquisitions Using Total-Body PET/CT with an Ultra-Low (18)F-FDG Activity
por: Hu, Yan, et al.
Publicado: (2022)

Supporting the Return to Work of Breast Cancer Survivors: From a Theoretical to a Clinical Perspective
por: Porro, Bertrand, et al.
Publicado: (2022)

Automatic Segmentation of Lung Carcinoma Using 3D Texture Features in 18-FDG PET/CT
por: Markel, Daniel, et al.
Publicado: (2013)

Deep Learning Approach to Automatize TMTV Calculations Regardless of Segmentation Methodology for Major FDG-Avid Lymphomas
por: Revailler, Wendy, et al.
Publicado: (2022)

A Transporter Interactome Is Essential for the Acquisition of Antimicrobial Resistance to Antibiotics
por: Shuster, Yonatan, et al.
Publicado: (2016)

Automatic classification of protein structures relying on similarities between alignments
por: Santini, Guillaume, et al.
Publicado: (2012)

Knowledge acquisition to design a fuzzy system for disease-specific automatic control of mechanical ventilation
por: Gottlieb, D, et al.
Publicado: (2008)

Cannot write session to /tmp/vufind_sessions/sess_mlljsdlv9v9cnbbnqieapu42tb