Cargando…

AI Lung Segmentation and Perfusion Analysis of Dual-Energy CT Can Help to Distinguish COVID-19 Infiltrates from Visually Similar Immunotherapy-Related Pneumonitis Findings and Can Optimize Radiological Workflows

(1) To explore the potential impact of an AI dual-energy CT (DECT) prototype on decision making and workflows by investigating its capabilities to differentiate COVID-19 from immunotherapy-related pneumonitis. (2) Methods: From 3 April 2020 to 12 February 2021, DECT from biometrically matching patie...

Descripción completa

Detalles Bibliográficos
Autores principales:	Brendlin, Andreas S., Mader, Markus, Faby, Sebastian, Schmidt, Bernhard, Othman, Ahmed E., Gassenmaier, Sebastian, Nikolaou, Konstantin, Afat, Saif
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788516/ https://www.ncbi.nlm.nih.gov/pubmed/35076602 http://dx.doi.org/10.3390/tomography8010003

Ejemplares similares

Dual-Energy Computed Tomography of the Lung in COVID-19 Patients: Mismatch of Perfusion Defects and Pulmonary Opacities
por: Afat, Saif, et al.
Publicado: (2020)

AI Denoising Improves Image Quality and Radiological Workflows in Pediatric Ultra-Low-Dose Thorax Computed Tomography Scans
por: Brendlin, Andreas S., et al.
Publicado: (2022)

A Machine learning model trained on dual-energy CT radiomics significantly improves immunotherapy response prediction for patients with stage IV melanoma
por: Brendlin, Andreas Stefan, et al.
Publicado: (2021)

Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR Imaging
por: Wessling, Daniel, et al.
Publicado: (2022)

Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE Imaging
por: Gassenmaier, Sebastian, et al.
Publicado: (2021)

Digitale Lehre mit, durch und nach COVID-19
por: Molwitz, Isabel, et al.
Publicado: (2021)

Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?
por: Gassenmaier, Sebastian, et al.
Publicado: (2021)

Diagnostic Performance of a Contrast-Enhanced Ultra-Low-Dose High-Pitch CT Protocol with Reduced Scan Range for Detection of Pulmonary Embolisms
por: Brendlin, Andreas S., et al.
Publicado: (2021)

Reduction in Acquisition Time and Improvement in Image Quality in T2-Weighted MR Imaging of Musculoskeletal Tumors of the Extremities Using a Novel Deep Learning-Based Reconstruction Technique in a Turbo Spin Echo (TSE) Sequence
por: Wessling, Daniel, et al.
Publicado: (2022)

AI Denoising Significantly Improves Image Quality in Whole-Body Low-Dose Computed Tomography Staging
por: Brendlin, Andreas S., et al.
Publicado: (2022)

AI Denoising Significantly Enhances Image Quality and Diagnostic Confidence in Interventional Cone-Beam Computed Tomography
por: Brendlin, Andreas S., et al.
Publicado: (2022)

Clinical Evaluation of an Abbreviated Contrast-Enhanced Whole-Body MRI for Oncologic Follow-Up Imaging
por: Herrmann, Judith, et al.
Publicado: (2021)

Can AI Help to Avert the Environmental Great Filter?
por: Postma, Eric, et al.
Publicado: (2021)

Can Multispectral Dermoscopy Help In Distinguishing Blue Color?
por: Janssen, Laudine, et al.
Publicado: (2023)

How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules
por: Fahmy, Dalia, et al.
Publicado: (2022)

Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol
por: Herrmann, Judith, et al.
Publicado: (2022)

Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy
por: Peisen, Felix, et al.
Publicado: (2022)

Integrating AI into radiology workflow: levels of research, production, and feedback maturity
por: Dikici, Engin, et al.
Publicado: (2020)

Image Quality and Diagnostic Performance of Accelerated 2D Hip MRI with Deep Learning Reconstruction Based on a Deep Iterative Hierarchical Network
por: Herrmann, Judith, et al.
Publicado: (2023)

Can AI Help Pediatricians? Diagnosing Kawasaki Disease Using DRSA
por: Siewert, Bartosz, et al.
Publicado: (2021)

Inclusive Growth in the Era of Automation and AI: How Can Taxation Help?
por: Merola, Rossana
Publicado: (2022)

Bending the patient safety curve: how much can AI help?
por: Classen, David C., et al.
Publicado: (2023)

How AI tools can—and cannot—help organizations become more ethical
por: De Cremer, David, et al.
Publicado: (2023)

Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction
por: Gassenmaier, Sebastian, et al.
Publicado: (2023)

Application of deep learning-based super-resolution to T1-weighted postcontrast gradient echo imaging of the chest
por: Maennlin, Simon, et al.
Publicado: (2023)

AI vs. AI: Can AI Detect AI-Generated Images?
por: Baraheem, Samah S., et al.
Publicado: (2023)

Changes in Serum Creatinine Levels Can Help Distinguish Hypovolemic from Euvolemic Hyponatremia
por: Ruiz-Sánchez, Jorge Gabriel, et al.
Publicado: (2022)

Diagnostic Performance of Different Simulated Low-Dose Levels in Patients with Suspected Cervical Abscess Using a Third-Generation Dual-Source CT Scanner
por: Winkelmann, Moritz T., et al.
Publicado: (2020)

How scientific mobility can help current and future radiology research: a radiology trainee’s perspective
por: Pesapane, Filippo
Publicado: (2019)

Neutrophils and Lymphocytes Can Help Distinguish Asymptomatic COVID-19 From Moderate COVID-19
por: Gu, Xuefeng, et al.
Publicado: (2021)

Can the entorhinal cortex help distinguish healthy aging brains from pathological aging brains?
por: Takashima, Akihiko, et al.
Publicado: (2022)

Faster Elbow MRI with Deep Learning Reconstruction—Assessment of Image Quality, Diagnostic Confidence, and Anatomy Visualization Compared to Standard Imaging
por: Herrmann, Judith, et al.
Publicado: (2023)

Distinguishing Elliptic Fibrations with AI
por: He, Yang-Hui, et al.
Publicado: (2019)

THU252 Can An AI Chatbot, ChatGPT, Help Our Patients with Diabetes And Weight Loss?
por: Cheng, Emily, et al.
Publicado: (2023)

Can apparent diffusion coefficient values help distinguish between different types of pediatric brain tumors?
por: Al-Sharydah, Abdulaziz Mohammad, et al.
Publicado: (2019)

Olfactory bulb surroundings can help to distinguish Parkinson’s disease from non-parkinsonian olfactory dysfunction
por: Tremblay, Cécilia, et al.
Publicado: (2020)

Can Behavioral Science Help Us Fight COVID-19
por: Iglesias-Osores, Sebastian, et al.
Publicado: (2020)

Can we help?
por: Malik, Rajvir
Publicado: (2010)

Can aspirin help?
por: Kalantri, Ashwini, et al.
Publicado: (2018)

Simulation of dyslexia. How literacy and cognitive skills can help distinguish college students with dyslexia from malingerers
por: van den Boer, Madelon, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_91bghvutlu91hpe71hbm62vivf