4 results about "Scar tissue" patented technology

This invention provides a pH-responsive immunomodulatory microneedle patch, its preparation method, and its application, belonging to the field of biomedical materials technology. This invention incorporates Zif-8 nanoparticles loaded with ChABC into GelMA hydrogel to prepare a pH-responsive immunomodulatory microneedle patch (Z@C-MN). As the patch gradually degrades, the system can continuously release Zn in a pH-responsive manner. 2+ Z@C-MN, along with ChABC, promotes in situ repair of cerebral fibrosis (SCI) after injury. Z@C-MN induces macrophage polarization towards a pro-regenerative phenotype, thereby downregulating the inflammatory response, increasing neurite length, and promoting the differentiation of neural stem cells into neurons. In vivo, Z@C-MN reduced the inflammatory microenvironment after injury and promoted angiogenesis in a rat SCI model. Furthermore, it activated axonal regeneration by inhibiting scar tissue formation and regulating CD4+. + T cell transformation supports neurogenesis.

A surgical suturing device includes a suture needle configured to reliably pass through typically thick scar tissue present along, for example, the edge of a midline hernia. The surgical suturing device includes a first clamp and a second clamp. The suture needle is selectively supported on the first clamp or the second clamp at an acute angle, for example, relative to a longitudinal axis defined by the corresponding first clamp or second clamp. The suture needle can be selectively secured to the first clamp or the second clamp via a first needle-receiving leaflet and a second needle-receiving leaflet configured for reciprocating axial displacement. A suture thread is connected to the suture needle to perform tissue suturing.

Electrical activity is sensed from a plurality of electrodes of a multi-electrode catheter. For each of a plurality of surface locations of cardiac tissue, a processor identifies first electrical signals originating at a first depth and second electrical signals originating at a second depth, estimates a first near-field signal originating at the first depth for each of the first electrical signals and detects scar borders at the first depth based on the first near-field signals, and estimates a second near-field signal originating at the second depth for each of the second electrical signals and detects scar borders at the second depth based on the second near-field signals. Based on the scar borders detected at the first and second depths, the processor visually displays first and second maps of the heart depicting scar tissue at the first and second depths, respectively.

Methods, apparatuses, and systems to differentiate adipose tissue from scar tissue are disclosed. One or more electrophysiology data points, each of which includes an electrophysiological signal associated with a tissue location that possesses certain signal characteristics, can be collected. An adipose tissue probability and / or a scar tissue probability can be computed using the characteristics of the electrophysiological signal, such as signal duration, signal amplitude, signal fractionation, and / or late potentials. The probability computation can also utilize dielectric properties, such as tissue impedance, tissue conductivity, and / or tissue permittivity, measured at the tissue location. Graphical representations of the adipose tissue probability and / or scar tissue probability can also be output.