Cargando…

Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis

Background: Interstitial lung disease (ILD) is a common complication in patients with systemic sclerosis (SSc), and its diagnosis contributes to early treatment decisions. Purposes: To quantify ILD associated with SSc (SSc-ILD) from chest CT images using an automatic quantification method based on t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Carvalho, Alysson Roncally S., Guimarães, Alan R., Sztajnbok, Flávio R., Rodrigues, Rosana Souza, Silva, Bruno Rangel Antunes, Lopes, Agnaldo José, Zin, Walter Araujo, Almeida, Isabel, França, Manuela Maria
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546366/ https://www.ncbi.nlm.nih.gov/pubmed/33102508 http://dx.doi.org/10.3389/fmed.2020.577739

Ejemplares similares

Pulmonary Emphysema Regional Distribution and Extent Assessed by Chest Computed Tomography Is Associated With Pulmonary Function Impairment in Patients With COPD
por: Gomes, Plácido, et al.
Publicado: (2021)

Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography
por: Carvalho, Alysson Roncally Silva, et al.
Publicado: (2021)

COVID-19 Chest Computed Tomography to Stratify Severity and Disease Extension by Artificial Neural Network Computer-Aided Diagnosis
por: Carvalho, Alysson Roncally S., et al.
Publicado: (2020)

Computed tomography trachea volumetry in patients with scleroderma: Association with clinical and functional findings
por: Silva, Bruno Rangel Antunes, et al.
Publicado: (2018)

Pulmonary Densitovolumetry Using Computed Tomography in Patients with Nontuberculous Mycobacteria: Correlation with Pulmonary Function Tests
por: De Marca, Patricia Gomes Cytrangulo, et al.
Publicado: (2019)

Chest computed tomography to evaluate lymphocytic interstitial pneumonia
por: Barreto, Miriam Menna, et al.
Publicado: (2020)

Automatic deep learning system for COVID-19 infection quantification in chest CT
por: Alirr, Omar Ibrahim
Publicado: (2021)

Generative adversarial network for automatic quantification of Coronavirus disease 2019 pneumonia on chest radiographs
por: Yoo, Seung-Jin, et al.
Publicado: (2023)

SinusCor: an advanced tool for heart rate variability analysis
por: Bartels, Rhenan, et al.
Publicado: (2017)

Respiratory mechanics of patients with morbid obesity
por: de Sant'Anna, Mauricio, et al.
Publicado: (2019)

Pulmonary function testing and chest tomography in patients with acromegaly
por: Camilo, Gustavo Bittencourt, et al.
Publicado: (2013)

Effects of the open lung concept following ARDSnet ventilation in patients with early ARDS
por: Rotman, Vivian, et al.
Publicado: (2016)

Natural Language Processing for the Identification of Incidental Lung Nodules in Computed Tomography Reports: A Quality Control Tool
por: Basilio, Rodrigo, et al.
Publicado: (2023)

Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning
por: Maiello, Lorenzo, et al.
Publicado: (2022)

Mycobacterial cavity on chest computed tomography: clinical implications and deep learning-based automatic detection with quantification
por: Yoon, Ieun, et al.
Publicado: (2023)

Positive end-expiratory pressure at minimal respiratory elastance represents the best compromise between mechanical stress and lung aeration in oleic acid induced lung injury
por: Carvalho, Alysson Roncally S, et al.
Publicado: (2007)

Chest computed tomography in COVID-19 pneumonia: a retrospective study of 155 patients at a university hospital in Rio de Janeiro, Brazil
por: Mogami, Roberto, et al.
Publicado: (2021)

Effects of descending positive end-expiratory pressure on lung mechanics and aeration in healthy anaesthetized piglets
por: Carvalho, Alysson Roncally S, et al.
Publicado: (2006)

Automatic System for Visual Detection of Dirt Buildup on Conveyor Belts Using Convolutional Neural Networks
por: Santos, André A., et al.
Publicado: (2020)

Mimics in chest disease: interstitial opacities
por: Oikonomou, Anastasia, et al.
Publicado: (2012)

Effects of treatment with rituximab on microcirculation in patients with long-term systemic sclerosis
por: Vilela, Verônica Silva, et al.
Publicado: (2018)

Cough peak flow to predict the extubation outcome: Comparison between three cough stimulation methods
por: Almeida, Christiane Melo, et al.
Publicado: (2020)

Accuracy of the WHO’s body mass index cut-off points to measure gender- and age-specific obesity in middle-aged adults living in the city of Rio de Janeiro, Brazil
por: Wollner, Materko, et al.
Publicado: (2017)

Automatic quantification of in vitro NET formation
por: Brinkmann, Volker, et al.
Publicado: (2013)

Regional Lung Recruitability During Pneumoperitoneum Depends on Chest Wall Elastance – A Mechanical and Computed Tomography Analysis in Rats
por: Comuzzi, Lucia, et al.
Publicado: (2018)

Effects of Automatic Deep-Learning-Based Lung Analysis on Quantification of Interstitial Lung Disease: Correlation with Pulmonary Function Test Results and Prognosis
por: Aoki, Ryo, et al.
Publicado: (2022)

Automatic Initialization Active Contour Model for the Segmentation of the Chest Wall on Chest CT
por: Choi, Seokyoon, et al.
Publicado: (2010)

Case Report: Incidental Finding of COVID-19 Infection after Positron Emission Tomography/CT Imaging in a Patient with a Diagnosis of Histoplasmosis and Recurring Fever
por: Stasiak, Camila Edith Stachera, et al.
Publicado: (2021)

Is computed tomography the ideal method for the identification and management of lung disease in systemic sclerosis?
por: Lopes, Agnaldo José
Publicado: (2016)

Semi-automatic FISH quantification on digital slides
por: Kiszler, Gábor, et al.
Publicado: (2013)

Pulmonary infection caused by Mycobacterium kansasii: findings on computed tomography of the chest
por: Mogami, Roberto, et al.
Publicado: (2016)

Quantification of oxygen exchange inefficiency in interstitial lung disease
por: Neder, José Alberto, et al.
Publicado: (2021)

Quantification of COVID-19 Opacities on Chest CT – Evaluation of a Fully Automatic AI-approach to Noninvasively Differentiate Critical Versus Noncritical Patients
por: Mader, Christoph, et al.
Publicado: (2021)

Changes seen on computed tomography of the chest in mildly symptomatic adult patients with sickle cell disease
por: Alves, Ursula David, et al.
Publicado: (2016)

Rapid and Precise Semi-Automatic Axon Quantification in Human Peripheral Nerves
por: Engelmann, S., et al.
Publicado: (2020)

Balance Deficits are Correlated with Bronchial Obstruction Markers in Subjects with Asthma
por: Lopes, Agnaldo José, et al.
Publicado: (2014)

Automatic quantification of microvessel density in urinary bladder carcinoma
por: Wester, K, et al.
Publicado: (1999)

Automatic Quantification of Microvessels Using Unsupervised Image Analysis
por: Ranefall, Petter, et al.
Publicado: (1998)

Automatic and unbiased segmentation and quantification of myofibers in skeletal muscle
por: Waisman, Ariel, et al.
Publicado: (2021)

Automatic detection of COVID-19 from chest radiographs using deep learning
por: Pandit, M.K., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_gb7oi2enpdhmq7ovq6tirt9tqs