Publications by authors named "K V Wolf"

Type 2 CSF leaks are spinal lateral dural tears, causing spontaneous intracranial hypotension (SIH). They may be visualized with digital subtraction myelography (DSM), cone-beam CT (CBCT) myelography, energy-integrating detector or photon-counting CT myelography. A recently introduced ultrahigh-resolution cone-beam CT (UHR-CBCT) myelography has shown beneficial visualization of CSF-venous fistula, another cause of SIH.

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Background: Cerebrospinal fluid (CSF) loss in spontaneous intracranial hypotension (SIH) is accompanied by volume shifts between the intracranial compartments. This study investigated tricompartimental and longitudinal volume shifts after closure of a CSF leak.

Methods: Patients with SIH and suitable pre-therapeutic and post-therapeutic imaging for volumetric analysis were identified from our tertiary care center between 2020 and 2023.

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Background: The independent and interrelated long-term effects of the exposome such as air pollution, greenness, and ambient temperature on lung function are not well understood, yet relevant in the light of climate change.

Methods: Pre-bronchodilation FEV1 from five mature birth cohorts (N = 4724) and three adult cohorts (N = 6052) from five European countries were used to assess cross-sectional associations with air pollution, greenness, and ambient temperature, assigned to their residential address. All two-way interactions and square terms were a priori included in building the final elastic net regression model.

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Background And Objective: A safe working trajectory is mandatory for spinal pathologies, especially in the midline, anterior to the spinal cord. For thoracic cerebrospinal fluid (CSF) leaks, we developed a minimally invasive keyhole fenestration. This study investigates the necessary bone removal for sufficient exposure of different leak types particularly regarding weight-bearing structures.

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Background: Little is known about the association between air pollution and self-perceived health (including both health-related quality of life [HRQoL] and self-rated health [SRH]). The aim of this study was therefore to explore whether long-term air pollution exposure is associated with worse self-perceived health, as measured by different tools.

Methods: We used a land-use regression model to determine the annual average levels of particulate matter with a diameter <10 μm (PM), coarse particles (PM), fine particles (PM), fine particle absorbances (PM), particle number concentration (PNC), ozone (O), nitrogen dioxide (NO), and nitrogen oxide (NO) for geocoded residential addresses (2014-2015).

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