Cargando…

Manual kidney stone size measurements in computed tomography are most accurate using multiplanar image reformatations and bone window settings

Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the inf...

Descripción completa

Detalles Bibliográficos
Autores principales:	Reimer, Robert Peter, Klein, Konstantin, Rinneburger, Miriam, Zopfs, David, Lennartz, Simon, Salem, Johannes, Heidenreich, Axel, Maintz, David, Haneder, Stefan, Große Hokamp, Nils
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361194/ https://www.ncbi.nlm.nih.gov/pubmed/34385563 http://dx.doi.org/10.1038/s41598-021-95962-z

Ejemplares similares

Detection and size measurements of kidney stones on virtual non-contrast reconstructions derived from dual-layer computed tomography in an ex vivo phantom setup
por: Reimer, R. P., et al.
Publicado: (2022)

Quantitative distribution of iodinated contrast media in body computed tomography: data from a large reference cohort
por: Zopfs, David, et al.
Publicado: (2020)

Evaluating anemia using contrast-enhanced spectral detector CT of the chest in a large cohort of 522 patients
por: Zopfs, D., et al.
Publicado: (2020)

Dual-Energy CT, Virtual Non-Calcium Bone Marrow Imaging of the Spine: An AI-Assisted, Volumetric Evaluation of a Reference Cohort with 500 CT Scans
por: Fervers, Philipp, et al.
Publicado: (2022)

Curved multiplanar reformatting provides improved visualization of hippocampal anatomy
por: Gross, Donald William, et al.
Publicado: (2019)

Physiological iodine uptake of the spine’s bone marrow in dual-energy computed tomography – using artificial intelligence to define reference values based on 678 CT examinations of 189 individuals
por: Fervers, Philipp, et al.
Publicado: (2023)

Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives
por: Lennartz, Simon, et al.
Publicado: (2021)

Deep-Learning-Based Image Denoising in Imaging of Urolithiasis: Assessment of Image Quality and Comparison to State-of-the-Art Iterative Reconstructions
por: Terzis, Robert, et al.
Publicado: (2023)

Bullet trajectory detection in the lung: Multiplanar reformatted imaging of multidetector computed tomography in children
por: Boleken, Mehmet Emin, et al.
Publicado: (2023)

Planning C2 pedicle screw placement with multiplanar reformatted cervical spine computed tomography
por: Davidson, Casey T, et al.
Publicado: (2019)

Value of spectral detector computed tomography for the early assessment of technique efficacy after microwave ablation of hepatocellular carcinoma
por: Reimer, Robert Peter, et al.
Publicado: (2021)

Chest computed tomography with multiplanar reformatted images for diagnosing traumatic bronchial rupture: a case report
por: Le Guen, Morgan, et al.
Publicado: (2007)

The technique of using three-dimensional and multiplanar reformatted computed tomography for preoperative planning in pediatric craniovertebral anomalies
por: Chaudhary, Kshitij, et al.
Publicado: (2021)

Diagnostic value of spectral reconstructions in detecting incidental skeletal muscle metastases in CT staging examinations
por: Lennartz, Simon, et al.
Publicado: (2019)

Texture analysis of iodine maps and conventional images for k-nearest neighbor classification of benign and metastatic lung nodules
por: Lennartz, Simon, et al.
Publicado: (2021)

Multidetector CT evaluation of central airways stenoses: Comparison of virtual bronchoscopy, minimal-intensity projection, and multiplanar reformatted images
por: Sundarakumar, Dinesh K, et al.
Publicado: (2011)

Evaluation of tracheal stenosis: comparison between computed tomography virtual tracheobronchoscopy with multiplanar reformatting, flexible tracheofiberoscopy and intra-operative findings
por: Morshed, Kamal, et al.
Publicado: (2010)

Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network
por: Rinneburger, Miriam, et al.
Publicado: (2023)

Feasibility of artificial intelligence–supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein — a retrospective observational study
por: Fervers, Philipp, et al.
Publicado: (2021)

Two-dimensional CT measurements enable assessment of body composition on head and neck CT
por: Zopfs, David, et al.
Publicado: (2022)

Virtual monoenergetic images from spectral detector computed tomography facilitate washout assessment in arterially hyper-enhancing liver lesions
por: Reimer, R. P., et al.
Publicado: (2020)

A deep learning-based reconstruction approach for accelerated magnetic resonance image of the knee with compressed sense: evaluation in healthy volunteers
por: Iuga, Andra-Iza, et al.
Publicado: (2023)

Intra-individual comparison between abdominal virtual mono-energetic spectral and conventional images using a novel spectral detector CT
por: Doerner, Jonas, et al.
Publicado: (2017)

Virtual monoenergetic images and post-processing algorithms effectively reduce CT artifacts from intracranial aneurysm treatment
por: Zopfs, David, et al.
Publicado: (2020)

Quantitative accuracy of virtual non-contrast images derived from spectral detector computed tomography: an abdominal phantom study
por: Holz, Jasmin A., et al.
Publicado: (2020)

Radiotherapy Response Assessment of Multiple Myeloma: A Dual-Energy CT Approach With Virtual Non-Calcium Images
por: Fervers, Philipp, et al.
Publicado: (2021)

Abdominal vessel depiction on virtual triphasic spectral detector CT: initial clinical experience
por: Lennartz, Simon, et al.
Publicado: (2021)

Advances in the Production and Batch Reformatting of Phage Antibody Libraries
por: Reader, Rose H., et al.
Publicado: (2019)

The high resource impact of reformatting requirements for scientific papers
por: Jiang, Yan, et al.
Publicado: (2019)

Computed tomography pulmonary angiograms using a novel dual-layer spectral detector: Adjusted window settings are essential for diagnostic image quality
por: Iuga, Andra-Iza, et al.
Publicado: (2019)

Reduction of CT artifacts from cardiac implantable electronic devices using a combination of virtual monoenergetic images and post-processing algorithms
por: Pennig, Lenhard, et al.
Publicado: (2021)

Is there an association between left atrial outpouching structures and recurrence of atrial fibrillation after catheter ablation?
por: Celik, Erkan, et al.
Publicado: (2022)

Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network
por: Dratsch, Thomas, et al.
Publicado: (2020)

An Automated Approach to Efficiently Reformat a Large Collection of Compounds
por: Cui, Jimmy, et al.
Publicado: (2011)

Mega2: validated data-reformatting for linkage and association analyses
por: Baron, Robert V, et al.
Publicado: (2014)

Long-Term Follow-Up and Clinical Relevance of Incidental Findings of Fibrin Sheath and Thrombosis on Computed Tomography Scans of Cancer Patients with Port Catheters
por: Lichtenstein, Thorsten, et al.
Publicado: (2021)

Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches—an international, multi-center comparative study
por: Fervers, Philipp, et al.
Publicado: (2022)

CONNJUR spectrum translator: an open source application for reformatting NMR spectral data
por: Nowling, Ronald J., et al.
Publicado: (2011)

fastQ_brew: module for analysis, preprocessing, and reformatting of FASTQ sequence data
por: O’Halloran, Damien M.
Publicado: (2017)

The Back Alleys and Dark Corners of Abdomen and Pelvis Computed Tomography: The Most Frequent Sites of Missed Findings in the Multiplanar Era
por: Kliewer, Mark A., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_fl1dneovq8dc35ncjn5ngkaj35