Publications by authors named "Nina Haag"

Article Synopsis
  • The study evaluates how the quality of computed tomography angiography (CTA) images, particularly those from Photon Counting Computed Tomography (PCCT), impacts the effectiveness of a deep learning (DL) algorithm in detecting large vessel occlusions (LVO) during acute ischemic stroke diagnostics.
  • 443 cases were analyzed, including both positive and negative occlusion cases, and the DL software prototype's performance was assessed with sensitivity and specificity metrics.
  • Results showed that the DL algorithm performed better with PCCT images compared to conventional CT images, achieving higher sensitivity for all occlusions and a marked improvement in identifying M2 occlusions, suggesting that improved image quality enhances detection capabilities but further research is necessary.
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Objectives: Coronary CT angiography (CCTA) is becoming increasingly important in the workup of coronary artery disease. Imaging of stents and in-stent stenoses remains a challenge. This work investigates the assessability of in-stent stenoses in photon counting CT (PCCT) using ultra-high-resolution (UHR) imaging and optimized reconstruction kernels.

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Purpose: To evaluate gyroscope-assisted CT-guided needle puncture (GAP) compared to free hand puncture (FHP) in a phantom.

Material And Methods: A simple, low-cost gyroscope was equipped with a magnetic rail to attach it to common puncture needles. 18 radiologists with different levels of training and experience in CT-guided punctures first punctured three targets in free hand technique in a special biopsy phantom with different difficulty levels of the puncture path (T1: not angulated, needle path 7.

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Background: Diagnosing myocarditis relies on multimodal data, including cardiovascular magnetic resonance (CMR), clinical symptoms, and blood values. The correct interpretation and integration of CMR findings require radiological expertise and knowledge. We aimed to investigate the performance of Generative Pre-trained Transformer 4 (GPT-4), a large language model, for report-based medical decision-making in the context of cardiac MRI for suspected myocarditis.

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Background Coronary artery calcium scoring (CACS) for coronary artery disease requires true noncontrast (TNC) CT alongside contrast-enhanced coronary CT angiography (CCTA). Photon-counting CT provides an algorithm (PureCalcium) for reconstructing virtual noncontrast images from CCTA specifically for CACS. Purpose To assess CACS differences based on PureCalcium images derived from contrast-enhanced photon-counting CCTA compared with TNC images and evaluate the impact of these differences on the clinically relevant classification of patients into plaque burden groups.

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Background: Sarcopenia is proposed as a novel imaging biomarker in several acute conditions regarding outcome and mortality. The aim of the present study was to investigate the prognostic role of the masseter muscles in patients with acute ischemic stroke (AIS).

Methods: Overall, 189 patients with AIS that received mechanical thrombectomy were retrospectively enrolled in this study.

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Objectives: Low-field MRI at 0.55 Tesla (T) with deep learning image reconstruction has recently become commercially available. The objective of this study was to evaluate the image quality and diagnostic reliability of knee MRI performed at 0.

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Septic arthritis is common in older adults and can be related to joint surgery or hematogenous distribution. To date, the risk factors affecting survival are unknown. This study aimed to evaluate the effects of existing implants, positive synovial microbiological culture results, and the American Society of Anesthesiology Physical Status (ASA) classification on the short- and mid-term survival of older patients with primary septic gonarthritis.

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