Unlabelled: This study aimed to validate the correlation between volumetric bone mineral density in the cervicothoracic and lumbar spine using measurements from opportunistic CT scans. The bone density assessment proved feasible, allowing us to propose optimal cut-off values for diagnosing osteoporosis and predicting vertebral fractures in the cervical and thoracic spine.
Objectives: To investigate the performance of cervicothoracic volumetric bone mineral density (vBMD), obtained through opportunistic quantitative computed tomography (QCT), in discriminating patients with/without osteoporosis and with/without vertebral fractures (VFs), using lumbar vBMD as the reference.
Introduction: Despite targeted standard therapy, aneurysmal subarachnoid hemorrhage (aSAH) frequently leads to cerebral vasospasms (CVS) of large cerebral arteries, reduced oxygen supply of brain tissue, known as delayed cerebral ischemia (DCI), subsequent development of manifest cerebral infarction and poor neurological outcome.
Research Question: The primary aim was to evaluate the efficacy of endovascular spasmolysis (eSL) as a rescue therapy for delayed ischemic neurological deficits (DIND) occurring despite maximum conservative treatment, with the potential benefit of preventing permanent ischemic deficits, and thus, improving overall neurological outcomes.
Material And Methods: In our retrospective, monocentric study, we included 310 patients developing CVS during hospitalization and evaluated their clinical and radiographic outcomes.
Objectives: To compare reach distances between the YBT-LQ and SEBT using the correct protocols as outlined by the developers. This will provide an accurate insight on the actual magnitude differences in reach distance between the movement screen tests and will safeguard practitioners on the subsequent use of these outcomes to inform clinical decision making.
Design: Observational.
Background: To investigate the reproducibility of automated volumetric bone mineral density (vBMD) measurements from routine thoracoabdominal computed tomography (CT) assessed with segmentations by a convolutional neural network and automated correction of contrast phases, on diverse scanners, with scanner-specific asynchronous or scanner-agnostic calibrations.
Methods: We obtained 679 observations from 278 CT scans in 121 patients (77 males, 63.6%) studied from 04/2019 to 06/2020.
Achieving an adequate level of detail is a crucial part of any modeling process. Thus, oversimplification of complex systems can lead to overestimation, underestimation, and general bias of effects, while elaborate models run the risk of losing validity due to the uncontrolled interaction of multiple influencing factors and error propagation. We used a validated pipeline for the automated generation of multi-body models of the trunk to create 279 models based on CT data from 93 patients to investigate how different degrees of individualization affect the observed effects of different morphological characteristics on lumbar loads.
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