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Non-invasive pressure-volume loop derived temporal elastance, contractility, and efficiency indices for assessing Duchenne muscular dystrophy patients.
Heart Vessels
December 2024
Department of Biomedical Engineering, Veterans Affairs Medical Center, University of Cincinnati, Rhodes Hall 593, 2851 Woodside Drive, Cincinnati, OH, 45219, USA.
Ejection fraction is commonly used to assess Duchenne muscular dystrophy-associated cardiomyopathy (DMDAC), but it may remain normal (wrongly) despite significant myocardial dysfunction in patients. Therefore, better indicators of myocardial dysfunction are needed for longitudinal (with time) assessment and treatment of DMDAC patients. This study evaluates non-invasive LV PV loop-derived elastance, contractility and efficiency in relation to EF for patients developing DMDAC.
View Article and Find Full Text PDFEvaluating optic system compression in sellar tumors: A novel application of quantitative pupillometry.
Acta Neurochir (Wien)
December 2024
Medical Faculty of Heidelberg University, Heidelberg, Germany.
Introduction: Tumorous growths in the sellar region pose significant clinical challenges due to their proximity to critical visual structures such as the optic chiasm and optic nerves. Given their proximity to the optic system, these tumors are often diagnosed due to a progressive decrease in visual acuity. Thus, surgical intervention is crucial to prevent irreversible damage, as timely decompression can halt the progression of edema and subsequent optic atrophy.
View Article and Find Full Text PDFPurpose: This study investigates the capabilities of ultrasonography (US) in determing the stage of orbital inflammation in patients with granulomatosis with polyangiitis (GPA).
Material And Methods: The study included 24 patients (8 men and 16 women) with diffuse orbital tissue involvement in GPA. Group 1 (active stage) included nine patients, while group 2 (inactive stage) consisted of 18 patients.
Assessing Wound Healing in Vivo Using a Dual-Function Phosphorescent Probe Sensitive to Tissue Oxygenation and Regenerating Collagen.
ACS Appl Mater Interfaces
December 2024
Institute of Translational Medicine, Faculty of Health Sciences & Ministry of Education Frontiers Science Center for Precision Oncology, University of Macau, Taipa 999078, Macau, China.
Levels of tissue oxygenation and collagen regeneration are critical indicators in the early evaluation of wound healing. Traditionally, these factors have been assessed using separate instruments and different methodologies. Here, we adopt the spatially averaged phosphorescence lifetime approach using Re-diimine complexes (Re-probe) to enable simultaneous quantification of these two critical factors in healing wounds.
View Article and Find Full Text PDFRadiomics of Periprostatic Fat and Tumor Lesion Based on MRI Predicts the Pathological Upgrading of Prostate Cancer from Biopsy to Radical Prostatectomy.
Acad Radiol
December 2024
Department of Urology, Urology Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou 35005, China (W-Q.L., Y.W., Z-B.K., B.L., X-H.W., X-Y.H., Z-J.C., J-Y.C., S-H.C., Y-T.X., F.L., D-N.C., Q-S.Z., X-Y.X., N.X.); Department of Urology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China (W-Q.L., Y.W., Z-B.K., B.L., X-H.W., X-Y.H., Z-J.C., J-Y.C., S-H.C., Y-T.X., F.L., D-N.C., Q-S.Z., X-Y.X., N.X.); Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China (X-Y.X., N.X.). Electronic address:
Rationale And Objectives: To assess the predictive value of MRI-based radiomics of periprostatic fat (PPF) and tumor lesions for predicting Gleason score (GS) upgrading from biopsy to radical prostatectomy (RP) in prostate cancer (PCa).
Methods: A total of 314 patients with pathologically confirmed prostate cancer (PCa) after radical prostatectomy (RP) were included in the study. The patients were randomly assigned to the training cohort (n = 157) and the validating cohort (n = 157) in a 1:1 ratio.
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