Real‐time visualization of skeletal muscle necrosis in mice and swine through NIR‐II/I fluorescence imaging

Abstract

AbstractAvulsion often occurs in the limb due to heavy shearing forces which not only damage skeletal muscle but also main vessels, resulting in life‐threatening muscle ischemia and necrosis. Defining muscle activity is vital for surgical repair. Currently, the color, capacity of blood, contractibility, and consistency (4C) are the primary principles for evaluating the activities of torn muscles. Based on clinical experiences, this standard turns out to be delayed diagnosis, which is not defined by specific parameters. Recently, near‐infrared (NIR) fluorescence probes emitting within the second near‐infrared window (NIR‐II, 1000–1700 nm) have been widely used for non‐invasive optical imaging because the tissue absorption and autofluorescence in the NIR‐II region are negligible, thus allowing deeper penetration depths with micrometer‐scale spatial resolution in vivo. As pathogenesis and development of muscle necrosis, necrosis‐related protein may participate in this procedure. There is promising future for NIR‐II to be used in evaluating muscle activity in avulsion. A new approach is developed based on experiments with mice and large animals (swine). Myoblasts were incubated with indocyanine green (ICG) to identify the necrosis muscles. The model of extremity damaged muscle was established for the real‐time visualization and detection of developed necrosis muscle field under new equipment, both in balb/c mice (female) and long‐haired swines. A visible NIR‐II/I imaging system was first used in a large animal injured skeletal muscle‐related model. Our NIR‐II/I imaging system is suitable for evaluating the normal and injured skeletal muscle ICG cycle and pointing to the necrotic skeletal muscle tissue. NIR‐II imaging is superior to NIR‐I imaging in estimating skeletal muscle, best with 1100 nm filter. NIR‐II fluorescence with 1100 nm filter is suitable for analyzing the progress of necrosis muscle tissue, leading to a new approach for intraoperative evaluation.