Publications by authors named "P Nagpal"

Rationale And Objectives: To investigate the effect of ComBat harmonization on the stability of myocardial radiomic features derived from multi-energy CT reconstructions.

Materials And Methods: A retrospective study was conducted on 205 patients who underwent dual-energy chest CTA at a single center. The data was reconstructed into multiple spectral reconstructions (mixed energy simulating standard 120 Kv acquisition and monoenergetic images ranging from 40 to 190 keV in increments of 10).

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The current culture-based bacterial detection technique is time-consuming and requires an extended sample preparation methodology. We propose the potential of surface-enhanced Raman spectroscopy (SERS) and surface plasmon-enhanced auto-fluorescence spectroscopy (SPEAS) for the label-free identification and quantification of bacterial pathogens at low concentrations collecting its unique auto-fluorescence and Raman signatures utilising highly anisotropic three-dimensional nanostructures of silver nano dendrites (Ag-NDs). The SERS data facilitates qualitative bacterial identification using the spectral features coming from the bacterial cell wall compound, and the SPEAS data was utilised to gain unique auto-fluorescence spectra present on the bacterial cell wall with enhanced quantification.

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Immune malfunction or misrecognition of healthy cells and tissue, termed autoimmune disease, is implicated in more than 80 disease conditions and multiple other secondary pathologies. While pan-immunosuppressive therapies like steroids can offer limited relief for systemic inflammation for some organs, many patients never achieve remission, and such drugs do not cross the blood-brain barrier, making them ineffective for tackling neuroinflammation. Especially in the brain, unintended activation of microglia and astrocytes is hypothesized to be directly or indirectly responsible for multiple sclerosis, amyotrophic lateral sclerosis, Parkinson's disease, and Alzheimer's disease.

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Article Synopsis
  • This study investigates the differences in cardiac strain between children with multisystem inflammatory syndrome (MIS-C) and a control group using advanced cardiac magnetic resonance imaging techniques.
  • The research involved a retrospective analysis of 32 MIS-C patients and 64 controls, examining cardiac function through automated strain measurements at different heart muscle layers.
  • Results indicated that there were no significant differences in overall cardiac strain or physical characteristics (such as age, height, and weight) between the two groups at medium-term follow-up after the diagnosis of MIS-C.
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