14 results about "Surgical margin" patented technology

A method for a method for treatment of cholangiocarcinoma (CCA) with cold atmospheric plasma and Folfirinox. The method includes treating a patient having CCA with a low dosage FOLFIRINOX regimen, for example, 6.73 nM, giving the patient the low-dosage FOLFIRINOX regimen pre-operatively, surgically removing the cancerous tumor from the patient, continuing the low-dosage FOLFIRINOX treatment regimen intra-operatively, applying cold atmospheric plasma to the surgical margins surrounding the area in the patient from which the tumor was removed, and continuing the FOLFIRINOX post-operatively.

Embodiments of the invention provide a system and method for resecting a tissue mass. The system for resecting a tissue mass includes a first sensor for measuring a signal corresponding to the position and orientation of the tissue mass. The first sensor is dimensioned to fit inside of or next to the tissue mass. The system also includes a second sensor attached to a surgical instrument configured to measure the position and orientation of the surgical instrument. A controller is in communication with the first sensor and the second sensor, and the controller executes a stored program to calculate a distance between the first sensor and the second sensor. Accordingly, visual, auditory, haptic or other feedback is provided to the clinician to guide the surgical instrument to the surgical margin.

According to embodiments of the present invention, a method of assessing margins of a post-Neoadjuvant Chemotherapy (NACT) breast cancer specimen is provided. The method includes obtaining real-time ultrasound images of the post-NACT breast cancer specimen; simultaneously performing photoacoustic imaging on the post-NACT breast cancer specimen to map spatial distributions of a plurality of chromophores across a tissue boundary of the post-NACT breast cancer specimen; fused with the real-time ultrasound images, analyzing the spatial distributions of the plurality of chromophores along the tissue boundary of the post-NACT breast cancer specimen to determine margins; and classifying the margins into one out of two distinct situations such that the classified margins provide real-time actionable information to a surgeon during performance of a breast-conserving surgery on a patient with the post-NACT breast cancer specimen. According to further embodiments, an apparatus for assessing margins of a post-NACT breast cancer specimen is also provided.

The invention belongs to the technical field of computer-aided medical diagnosis, and discloses an intelligent intraoperative incision edge evaluation system for breast cancer breast conserving surgery. The method comprises the following steps: acquiring sequential optical coherence tomography images and autofluorescence spectrums of the incisional marginal tissue before and after preset pressure stimulation, extracting mechanical optical coupling response characteristics and metabolic dynamic response characteristics, and realizing multi-dimensional analysis of the incisional marginal tissue. According to the method, core technologies such as feature fusion, spatial consistency analysis, regional iterative optimization and risk grading are adopted, a complete evaluation process from microscopic features to macroscopic judgment is established, a topological distance concept is introduced in a breakthrough mode, and objective quantitative evaluation of the cutting edge safety is given in combination with the lesion risk degree and the spatial position. According to the method, high-precision full-incisal-edge real-time evaluation is achieved, minimal lesions can be effectively recognized, instant and objective intra-operative decision support is provided for surgeons, the reoperation rate is remarkably reduced, and the treatment effect and the attractiveness are kept at the same time.

The application provides a pathological section and MRI image registration method and device based on biomechanical elastic deformation, which comprises the following steps: obtaining a three-dimensional digital twin of a tumor region, obtaining a digital resection region in the three-dimensional digital twin based on a preset surgical margin; performing ex vivo dynamics simulation on the digital resection region to obtain a tissue deformation result; obtaining an optimal deformation section with maximum mutual information in the tissue deformation result and a pathological section; obtaining an inverse transformation deformation field between the optimal deformation section and the three-dimensional digital twin, and projecting a tumor region edge of the pathological section to the three-dimensional digital twin based on the inverse transformation deformation field. The scheme realizes fine local nonlinear adaptation of the section by constructing an ex vivo dynamics finite element simulation technology of a volume shrinkage function and performing local deformation with the pathological section edge information as a constraint, quantitatively restoring the global non-uniform shrinkage of the ex vivo tissue and the differential local deformation of the tumor and normal tissue.

The provided is a system that provides information with high accuracy by performing voxel-based both cross-sectional and volumetric three-dimensional imaging in cancer tissues, especially in determining the necessary surgical margins of the breast tumor removed from the patient with breast cancer surgery and the presence of the tumor in the sentinel lymph node, which is the first lymph node from which the tumor drained. The provided will not be applied directly to humans and the human body, but to the tumor and / or tumorous tissue removed from the patient's cancerous organ (especially the breast). By changing the software parameters and the applied X-ray range used in breast tumors, a deep technology-based system developed can also be used in human lung, liver, pancreas, thyroid, brain, skin, small intestine, large intestine, stomach, gall bladder, esophagus, bladder, kidney, ovary, uterus, cervix, testis and prostate tumors and tumorous tissue fragments.

Embodiments of the invention provide a system and method for resecting a tissue mass. The system for resecting a tissue mass includes a first sensor for measuring a signal corresponding to the position and orientation of the tissue mass. The first sensor is dimensioned to fit inside of or next to the tissue mass. The system also includes a second sensor attached to a surgical instrument configured to measure the position and orientation of the surgical instrument. A controller is in communication with the first sensor and the second sensor, and the controller executes a stored program to calculate a distance between the first sensor and the second sensor. Accordingly, visual, auditory, haptic or other feedback is provided to the clinician to guide the surgical instrument to the surgical margin.

This invention relates to the field of medical device technology. This application discloses a surgical margin positioning device for rectal tumor surgery, including a travel hole and a travel groove. The travel hole and travel groove are distributed in a ring array. A travel rod is movably installed inside the travel hole. A mating hole is opened at the top of the travel rod. Sliding grooves are opened on both sides of the outer surface of the mating hole. A push rod is movably installed inside the sliding groove. A spring is provided at the top of the outer surface of the push rod, and the top of the spring is connected to the top of the inner wall of the travel rod. During the upward movement of the travel rod, it drives the travel rod, the ratchet rack, and the first side plate to move upward simultaneously, thereby driving the outer ring frame to move away from the main body, thus realizing the distance between the first positioner and the second positioner. This allows the operator to adjust the distance between the first positioner and the second positioner according to the size of the tumor inside the rectum. The tumor can be located with a single marking, improving the ease of operation of the device.

The invention discloses a Raman spectrum-based glioma boundary recognition method and device, and relates to the field of biomedicines.The Raman spectrum-based glioma boundary recognition method comprises the following steps: obtaining a silver nano-enhanced substrate and a to-be-detected sample; mixing the silver nano-enhanced substrate with a to-be-detected sample to obtain a mixed sample; acquiring the intensity I1 of a 1328 cm <-1 > peak and the intensity I2 of a 796 cm <-1 > peak of the mixed sample under the Raman spectrum; according to the ratio of I2 to I1 in the to-be-detected sample, obtaining the ratio of the glioma cells in the total cell amount in the to-be-detected sample; therefore, whether the to-be-detected sample is the boundary between the glioma and the normal tissue or not is determined, and help is provided for clinically judging the edge cutting of the operation.

The invention provides a pathological section and MRI image registration method and device based on biomechanical elastic deformation, and the method comprises the following steps: obtaining a three-dimensional digital twinborn body of a tumor region, and obtaining a digital excision region in the three-dimensional digital twinborn body based on a preset surgical incision edge; performing in-vitro dynamic simulation on the digital resection area to obtain a tissue deformation result; obtaining an optimal deformation section with the maximum mutual information with the pathological section in the tissue deformation result; and obtaining an inverse transformation deformation field between the optimal deformation section and the three-dimensional digital twinborn body, and projecting the tumor area edge of the pathological section into the three-dimensional digital twinborn body based on the inverse transformation deformation field. According to the scheme, local deformation is carried out by constructing an in-vitro dynamic finite element simulation technology of a volume shrinkage function and taking pathological section edge information as a constraint, global non-uniform shrinkage of in-vitro tissues and differential local deformation of tumors and normal tissues are quantitatively reduced, and refined local nonlinear adaptation of sections is realized.

An imaging device includes a body having a first end portion configured to be held in a user's hand and a second end portion configured to direct light onto a surgical margin. The device includes at least one excitation light source configured to excite autofluorescence emissions of tissue cells and fluorescence emissions of induced porphyrins in tissue cells of the surgical margin. A white light source is configured to illuminate the surgical margin during white light imaging of the surgical margin. The device includes an imaging sensor, a first optical filter configured to permit passage of autofluorescence emissions of tissue cells and fluorescence emissions of the induced porphyrins in tissue cells to the imaging sensor, and a second optical filter configured to permit passage of white light emissions of tissues in the surgical margin to the imaging sensor. Systems and methods relate to imaging devices.

The present invention relates to the technical field of computer-aided preoperative analysis, and discloses a surgical margin path generating method and system for tumor surgery and a storage medium. The method comprises: acquiring clinical pictures of a tumor, dermatoscopy pictures, and medical history information of patients; segmenting and extracting tumor boundaries from the dermatoscopy pictures by using a preset deep learning network model to obtain skin tumor boundaries under a dermoscope; registering the skin tumor boundaries with the clinical pictures to obtain target tumor boundaries; generating an initial surgical margin path according to the medical history information, the target tumor boundaries, and a preset path generating model; in the case of a benign tumor, smoothing the initial surgical margin path to generate a surgical margin path of a fusiform incision.

A robotic surgical system is disclosed for AI-guided neoplasm resection using multimodal imaging and machine learning. The system comprises a robotic manipulator with sub-millimeter precision and intraoperative imaging modules, including hyperspectral imaging. A data acquisition module integrates preoperative imaging (CT, MRI, PET, ultrasound, X-ray) with real-time surgical data via an image fusion engine to form a co-registered anatomical model. An AI engine analyzes spectral and anatomical data to differentiate tissue types and updates a dynamic resection path. A control unit autonomously adjusts the robotic trajectory in real-time. A visualization interface overlays tumor margins and surgical guidance for enhanced precision. The system further includes surgeon feedback integration, fatigue monitoring, and adaptive learning through historical and live procedure data, supporting autonomous and semi-autonomous operation across diverse surgical applications.

The invention discloses a malignant tumor operation boundary in-vivo non-invasive detection method, system and equipment, and belongs to the field of biomedical engineering.The method is based on a portable optical fiber Raman spectrum technology, representative spectrums are screened through Gaussian kernel density estimation, a pure reference member library combined with perturbation spectrums is constructed, and the reference member library is used for detecting the malignant tumor operation boundary in-vivo non-invasive detection. And analyzing the tumor edge mixed spectrum based on a nonlinear relaxation model, proposing a nonlinear weight matrix, dynamically adjusting the influence of a reference member cross term on spectrum reconstruction, allowing a pure spectrum matrix to change within a certain limit in an iteration process, and determining the tumor edge mixed spectrum by quantifying the spectrum contribution proportion of normal tissues and malignant tumor tissues. And the tissue property is judged according to a preset threshold value, so that the tumor boundary can be accurately judged in the operation. The method does not need tissue slicing or fluorescence labeling, has the advantages of being real-time, non-invasive, high in accuracy and the like, can effectively assist doctors in formulating personalized excision schemes, and reduces the postoperative recurrence risk.