Publications by authors named "J Niehoff"

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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The purpose of the meta-analysis was to compare the prevalence of sarcopenia on staging computed tomography (CT) in patients with solid tumors in different world regions. MEDLINE, Embase, and SCOPUS literature databases were screened for prevalence of sarcopenia in oncologic patients up to December 2022. Two hundred eighty studies met the inclusion criteria.

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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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The purpose of the present study is to evaluate whether an online reference system (ORS, STATdx Elsevier, Amsterdam, Netherlands) impacts finding the histologically confirmed diagnosis of rare or atypical abdominal tumors and lesions in radiologic imaging. In total, 101 patients with rare tumor entities or lesions and atypical manifestations of common tumors were enrolled retrospectively. Blinded readings were performed by four radiologists with varying levels of experience, who reported on: (a) correct diagnosis (CD), (b) time needed to find the diagnosis, and (c) diagnostic confidence, initially without followed by the assistance of the ORS.

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