4 results about "Tissue handling" patented technology

The invention relates to the technical field of medical apparatuses and instruments, and discloses an angle-adjustable tumor ablation knife, which comprises a wrist wearing assembly used for stably wearing an instrument on a wrist; the rotating rope wheel driving assembly is mounted on the wrist type wearing assembly; the wrist wearing component is provided with an electric knife pen main body for cutting at a specified angle in a deep tissue operation or an electric coagulation forceps main body for hemostasis and tissue treatment in the operation. According to the angle-adjustable tumor ablation knife, by means of the wrist wearing assembly and the rotary driving mechanism, a doctor can more conveniently adjust the angle of the electric knife pen and the angle of the electric coagulation forceps, the arm does not need to be greatly moved, accurate operation can be conducted in a narrow operation space, the success rate of an operation is increased, the burden of the hand is relieved through the wrist wearing mode, and the operation efficiency is improved. A doctor can stably operate the instrument for a long time, and operation errors caused by hand fatigue are reduced.

The invention relates to an intravascular rotary cutting device which comprises a sheathing canal, a rotating shaft, a tool bit assembly and a handle. The cutter head assembly comprises a first rotary cutter and a second rotary cutter, the second rotary cutter is provided with an arched structure, the arched height of the second rotary cutter can be increased or decreased under the action of external force, so that the second rotary cutter has a variable cutting diameter in a working state, the cutting diameter is not restrained by the inherent size of the sheathing canal any more, and the minimally invasive approach is kept while the cutting diameter is increased. A larger effective lumen and a better tissue treatment capability can be realized; in a non-working state, the device can be retracted into the sheath tube, so that the damage to the blood vessel is reduced; the handle comprises a shell, a rotary cutting driving assembly and a telescopic driving assembly; the near end of the sheathing canal or the shell is of a detachable sectional type structure, by means of the design of the detachable sectional type sheathing canal or the shell, the cutter head assembly and the rotating shaft can be independently withdrawn, meanwhile, a complete instrument channel is reserved, follow-up examination or treatment instruments can be directly introduced, and the whole system does not need to be completely withdrawn from the human body.

X-ray images generated by a biopsy tissue handling device are selectively modified to emphasize regions of interest and de-emphasize or eliminate image regions that are distracting, impair viewing attention, and / or cause eye strain. An image processor performs an image mask based on the geometry of a portion of a specimen tray that includes a storage compartment having a tissue specimen. A compartment mask is performed on a portion of an X-ray image that depicts the storage compartment including the tissue specimen. The compartment mask boundary substantially corresponds to the outline of the compartment. A partial structure mask is performed on a portion of the X-ray image that depicts the specimen tray and a corresponding wall of the storage compartment. The partial structure mask boundary extends along a corresponding length and partially through the corresponding wall of the specimen tray.

This invention discloses a deep learning-based surgical quality assessment method and system, relating to the field of medical information. The method includes: acquiring preoperative three-dimensional images and generating a surgical operation space baseline map using a first deep neural network; continuously acquiring real-time instrument pose data and high-definition video frame sequences of the surgical area tissue during surgery; using a spatiotemporal attention mechanism for dynamic registration to construct an instrument-tissue interaction spatiotemporal feature set; calculating instrument operation standardization scores and tissue processing accuracy scores using a second deep neural network; acquiring postoperative physiological recovery indicators; inputting the two scores and indicators into a causal inference model to quantify their respective marginal contributions and generate a comprehensive quality assessment index; and outputting a graded assessment conclusion based on the comparison results of this index with multi-level thresholds. This invention achieves an objective, interpretable, and clinically predictive quantitative assessment of surgical quality by integrating data from the entire chain of preoperative planning, intraoperative operation, and postoperative recovery.