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Total 224 results found since Jan 2013.

Outcome prediction prior to thrombectomy of the posterior circulation with machine learning
CONCLUSION: Short-term favorable and poor outcomes in patients with acute ischemic stroke of the posterior circulation can be predicted prior to thrombectomy with moderate sensitivity and high specificity with machine learning models.PMID:37038341 | DOI:10.1177/15910199231168164
Source: Interventional Neuroradiology - April 11, 2023 Category: Radiology Authors: Ludger Feyen Stefan Rohde Martin Weinzierl Marcus Katoh Patrick Haage Nico M ünnich Helge Kniep Source Type: research

NIH highlights PET imaging in study of rare bone disease
The U.S. National Institutes of Health (NIH) has highlighted a study featurin...Read more on AuntMinnie.comRelated Reading: NaF-PET shows bone formation in psoriatic arthritis patients PET/MRI provides new insights into knee osteoarthritis NaF-PET reveals aortic wall injuries NaF-PET scans reveal plaque -- and possible risk of stroke Can deep learning monitor lesions on F-18 NaF PET/CT?
Source: AuntMinnie.com Headlines - April 10, 2023 Category: Radiology Source Type: news

A clinical –radiomics model based on noncontrast computed tomography to predict hemorrhagic transformation after stroke by machine learning: a multicenter study
ConclusionThe proposed clinical –radiomics model is a dependable approach that could provide risk assessment of HT for patients who receive IVT after stroke.
Source: Insights into Imaging - March 29, 2023 Category: Radiology Source Type: research

A new method for predicting the prognosis of ischemic stroke based vascular structure features and lesion location features
Determining the changes in the prognosis of the cerebral infarction area has an important guiding role in the selection of the treatment plan. The goal of this study is to propose a machine learning-based method that can predict the prognosis of stroke effectively and efficiently.
Source: Clinical Imaging - March 14, 2023 Category: Radiology Authors: Suiqing Weng, Xilin Sun, Hao Wang, Bin Song, Jie Zhu Tags: Neuroradiology Source Type: research

Contrast-enhanced conebeam CT shows promise for breast biopsy
Contrast-enhanced conebeam CT imaging could serve as an alternative to MRI guidanc...Read more on AuntMinnie.comRelated Reading: CBCT reveals how 17th-century aristocrat sought to preserve her smile Can machine learning plus CBCT predict blood leaks in stroke patients? 3D image guidance enhances biopsy of peripheral lung nodules Conebeam CT aids removal of rare ectopic molar in maxillary sinus Can AI enhance the utility of breast conebeam CT?
Source: AuntMinnie.com Headlines - March 2, 2023 Category: Radiology Source Type: news

Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients
CONCLUSION: Reliable TSPO PET quantification is achievable by using a single late PET frame divided by a late blood sample activity concentration.PMID:36682921 | DOI:10.1016/j.zemedi.2022.11.008
Source: Zeitschrift fur Medizinische Physik - January 22, 2023 Category: Radiology Authors: Artem Zatcepin Anna Kopczak Adrien Holzgreve Sandra Hein Andreas Schindler Marco Duering Lena Kaiser Simon Lindner Martin Schidlowski Peter Bartenstein Nathalie Albert Matthias Brendel Sibylle I Ziegler Source Type: research

Reliability of respiratory-gated real-time two-dimensional cine incorporating deep learning reconstruction for the assessment of ventricular function in an adult population
This study aimed to assess the image quality and accuracy of respiratory-gated real-time two-dimensional (2D) cine incorporating deep learning reconstruction (DLR) for the quantification of biventricular volumes and function compared with those of the standard reference, that is, breath-hold 2D balanced steady-state free precession (bSSFP) cine, in an adult population. Twenty-four patients (15 men, mean age 50.7  ± 16.5 years) underwent cardiac magnetic resonance for clinical indications, and 2D DLR and bSSFP cine were acquired on the short-axis view. The image quality scores were based on three main criteria: blood-t...
Source: The International Journal of Cardiovascular Imaging - January 17, 2023 Category: Radiology Source Type: research

Rapid MRI protocol leads to reduced image acquisition times
A rapid lumbar MRI protocol that uses 3D imaging and deep learning reconstructio...Read more on AuntMinnie.comRelated Reading: Reducing use of sedation for pediatric MRI cuts healthcare costs Ultrafast MRI shows promise in predicting DCIS upstaging Ultrafast DCE-MRI helps predict breast cancer treatment response Is abbreviated MRI useful for women at average breast cancer risk? Rapid MRI for ED stroke evaluation cuts costs, hospital length of stay
Source: AuntMinnie.com Headlines - January 6, 2023 Category: Radiology Source Type: news