15 results about "Cancer surgery" patented technology

The invention discloses a gastric cancer postoperative chemotherapy dynamic intervention method and system based on time point matching, and relates to the technical field of postoperative intervention. Health state data of wearable medical equipment of a gastric cancer postoperative patient is collected; preliminarily dividing the stomach cancer postoperative chemotherapy cycle into a plurality of key physiological time points based on the symptom inflection points, and respectively matching an intervention core problem and a corresponding stomach cancer postoperative chemotherapy intervention scheme for the plurality of key physiological time points; and the postoperative intervention platform analyzes the time period health state data collected by the wearable medical equipment at set time intervals, analyzes the health state data to automatically identify gastric cancer postoperative symptom inflection points, and dynamically matches key physiological time points based on symptom inflection point results. The stomach cancer postoperative treatment disruption rate is reduced, the crisis inflection point recognition accuracy is greatly improved, and the bone marrow suppression early diagnosis rate is greatly improved; the early diagnosis rate of postoperative wound infection of gastric cancer is improved, unnecessary intervention is reduced, and crisis event treatment is accelerated.

A multi-mode early-stage cancer postoperative survival and recurrence time prediction method comprises the following steps: firstly, aligning four-phase CT (Computed Tomography) images of a plain scanning phase, an arterial phase, a venous phase and a delayed phase, and respectively carrying out spatial feature extraction and time sequence splicing processing on the four-phase CT images by utilizing a mixed model structure of a 3D CNN (Three-Dimensional Convolutional Neural Network) and a time sequence model; clinical data are projected through a multi-layer perceptron (MLP) formed by a full connection layer, then the data are fused through a cross attention mechanism, clinical features serve as Query, image features V serve as keys (Key) and values (Value) at the same time, and the recurrence time (RFS) and the survival time (OS) in the early stage of a cancer operation are predicted. According to the method, the accuracy is greatly improved by combining spatial information and time sequence information prediction, and meanwhile, the decision-making process is more interpretable by using priori medical knowledge as guidance.

The application belongs to the technical field of biomedical materials, and discloses a acutine-chitosan / calcium carbonate hemostatic sponge as well as a preparation method and application thereof. The acutine and chitosan are condensed to obtain acutine-chitosan, and then the acutine-chitosan is reacted with sodium carbonate, calcium hydroxide and urea to form the acutine-chitosan / calcium carbonate hemostatic sponge. In-vivo and in-vitro experiments verify that the sponge can be used for hemostasis and antibiosis, and due to the pH sensitivity of the acutine-chitosan, the acutine can be intelligently controlled to be released under acidic conditions (cancer acidic environment), so that the sponge can be used for rapid hemostasis during cancer surgery, and also helps to prevent recurrence of liver cancer after surgery. Therefore, the multifunctional acutine-chitosan / calcium carbonate hemostatic sponge of the application provides a 'one-stop' synergistic strategy for intraoperative hemostasis and postoperative prevention of tumor recurrence of liver cancer, and has great clinical application potential.

This invention provides an application of *Lactobacillus paracasei* IOB413 metabiotic and its composition in gastric cancer, belonging to the field of microbial technology. *Lactobacillus paracasei* IOB413 has the preservation number CGMCC No. 16022. Its metabiotic can inhibit gastric cancer progression by suppressing epithelial-mesenchymal transition in tumor cells and regulating the IL-6 / JAK2 / STAT3 signaling pathway. The composition with folic acid has a synergistic effect, more effectively reducing tumor volume and lowering the levels of pro-inflammatory factors and tumor markers. It has high safety and is suitable as an adjuvant therapy before and after gastric cancer surgery, providing a new approach to gastric cancer treatment.

The invention belongs to the technical field of traditional Chinese medicines, and particularly relates to a traditional Chinese medicine composition for replenishing qi, enriching blood, tonifying spleen and nourishing kidney as well as a preparation method and application thereof. The traditional Chinese medicine composition is prepared from the following raw materials in parts by weight: 2 to 12 parts of radix angelicae sinensis, 5 to 20 parts of radix codonopsis, 5 to 20 parts of radix astragali seu hedysari, 2 to 12 parts of rhizoma atractylodis macrocephalae, 2 to 15 parts of poria cocos, 3 to 13 parts of colla corii asini, 3 to 13 parts of tortoise-shell glue, 2 to 12 parts of herba cistanche, 5 to 15 parts of radix rehmanniae praeparata, 3 to 15 parts of rhizoma polygonati, 3 to 13 parts of herba epimedii, 2 to 12 parts of fructus crataegi, 5 to 15 parts of arillus longan, 2 to 12 parts of fructus ligustri lucidi, 2 to 6 parts of fructus schisandrae chinensis and 1 to 5 parts of cortex cinnamomi. The traditional Chinese medicine composition has the main effects of replenishing qi, enriching blood, tonifying spleen and nourishing kidney, is used for rehabilitation after cancer surgery or chemotherapy and used for resisting cancer relapse, is particularly used for patients with spleen and kidney deficiency type cachexia after cancer surgery or chemotherapy, and improves the problems of emaciation, insomnia, inappetence, mental fatigue and tiredness and the like of the patients with the patients with the spleen and kidney deficiency type cachexia after cancer surgery or chemotherapy.

The invention discloses a target detection method in a robot-assisted laparoscopic colon cancer surgery, relates to the technical field of target detection, and aims at improving a YOLOv13 model in an application scene of the robot-assisted laparoscopic colon cancer surgery. The distinguishing capability of the model on fine-grained features such as lymph node edges and tumor textures is enhanced, and the problem of confusion of tiny targets and backgrounds is solved; average pooling preprocessing and double-branch differentiation downsampling are adopted, small target details and large target high response areas are reserved at the same time in the downsampling process, high-quality feature input is provided for subsequent BiFPN, and the problem of small target feature loss is solved; through bidirectional feature interaction, CARAFE up-sampling and P3-B3 same-layer jump connection, the weight of low-resolution low-layer features is enhanced, the problem of multi-scale target detection imbalance is solved, and especially the detection precision of tiny lymph nodes is improved.

The present application is suitable for the technical field of plant extraction and separation, and provides a polysaccharide compound with clear molecular structure, which is suitable for treating patients with advanced cancer (surgical conditions have been lost, survival time is only three to six months, and chemotherapy conditions are still available), comprising: S1, drying and crushing Ganoderma lucidum; S2, mixing with water in a sealed container to extract effective components under high temperature and high pressure; S3, removing residues from the concentrated liquid with effective components; and S4, preparing the residue-removed concentrated liquid into a certain concentration to obtain polysaccharide with effective components through column chromatography. The polysaccharide with effective components has good water-soluble performance, is easy to be absorbed by the human body, has antitumor efficacy, and has efficacy in preventing the occurrence of tumors in humans, especially when used in combination with chemotherapy drugs, the toxic and side effects of the chemotherapy drugs on the human body can be eliminated, and the control, reduction, and elimination of tumor cells are all supported by corresponding experimental data.

The invention discloses a tiny residual focus detection device, a storage medium and equipment. The brand-new cancer operation tissue and postoperative blood pairing inspection method is designed, based on sequencing data, an embryonic system variation union set of two samples is obtained, pairing inspection of the two samples is carried out in combination with mutation abundance correlation and homozygosity and heterozygosity consistency, a specific construction and judgment scheme is designed, extra detection is not needed, and the method is simple and convenient to operate. The cancer postoperative blood and surgical tissue pairing inspection can be performed simply and accurately, and the method is applied to tiny residual focus detection to verify cancer surgical tissues and postoperative blood samples.

This invention relates to the field of postoperative assessment technology, and more particularly to a quantitative assessment method, system, and storage medium for emergency colon cancer surgery. It includes: collecting postoperative recovery data from patients, including preliminary indicators such as the time point of bowel function recovery, the range of bowel movement frequency fluctuations, and the intensity of overall physical activity; combining time series analysis and activity intensity information to identify potential high-risk time points; based on the comparison results of the high-risk time point set with preset thresholds, data fusion analysis of the interaction of preliminary indicators to construct a comprehensive recovery trend vector, and determining recovery pattern classification through pattern matching; based on the recovery pattern classification, constructing a dynamic adjustment matrix, adjusting the weights of each indicator, and calculating the overall recovery score through weighted average; and generating a personalized intervention adjustment sequence based on the relationship between the overall recovery score and the preset threshold. This invention solves the problems of strong subjectivity and poor real-time performance in postoperative recovery assessment, and achieves accurate and personalized recovery assessment and intervention adjustment.

The subject matter of the present invention is novel fluorescent compounds useful for marking tumor tissue, methods for their preparation, and their use as monitoring or diagnostic tools or tools for assisting cancer surgery.

The invention discloses a gastric cancer postoperative prognosis prediction method and system based on multi-modal data fusion, and belongs to the technical field of medical and industrial combination. According to the technical scheme, the method comprises the steps of obtaining clinical structured data and postoperative pathological text data of a gastric cancer patient; the clinical structural data is preprocessed; performing feature extraction on the postoperative pathological text data by using a pre-trained ERNIE model, and performing dimension reduction processing through a UMAP algorithm; fusing the preprocessed structured data and the dimensionality-reduced text features by using a multi-level adaptive attention mechanism to obtain fused features; and inputting the fusion features into a machine learning model for training and prediction, and outputting a gastric cancer postoperative three-year survival prediction result. The method has the beneficial effects that through an innovative multi-modal data fusion strategy, the precision, stability and interpretability of gastric cancer postoperative survival prediction are effectively improved, and a powerful technical tool and decision basis are provided for improving postoperative management of gastric cancer patients and realizing personalized treatment.

The invention provides a traditional Chinese medicine composition for resisting gastric cancer. Compared with the prior art, the dioscorea panthaica in the traditional Chinese medicine composition provided by the invention has the effects of regulating qi, relieving pain, detoxifying and diminishing swelling and is a monarch drug of the traditional Chinese medicine composition, the frankincense and the myrrh have the effects of activating blood, relieving pain, diminishing swelling and promoting tissue regeneration, the mangnolia officinalis has the effects of eliminating dampness, dissolving phlegm, descending qi and removing fullness, the semen aesculi has the effects of soothing liver, regulating qi, harmonizing stomach and relieving pain, and the four drugs are used as ministerial drugs and have the effects of eliminating dampness, eliminating phlegm and relieving pain. The alpinia katsumadai has the effects of eliminating dampness, promoting the circulation of qi and warming middle and arresting vomiting, the rhizoma nardostachyos has the effects of regulating qi, relieving pain, relieving depression and enlivening the spleen and can improve the symptoms such as hematemesis, stomachache, warm qi, adverse flow of vomiting, inappetence and the like, and the albizia flowers have the effects of resolving depression and soothing the nerves and can relieve the emotional symptoms such as unease, depression and insomnia of patients and serve as conductant drugs. The traditional Chinese medicine composition has the effects of regulating qi to alleviate pain, removing toxicity for detumescence, promoting blood circulation to remove blood stasis, eliminating dampness and tonifying spleen and is suitable for gastric cancer patients and gastric cancer postoperative recovery periods.

The invention provides a gastric cancer operation related complication prediction method and system based on machine learning, and the method comprises the steps: obtaining sample features of a patient, and carrying out the preprocessing; the sample features comprise clinical features, laboratory features, iconography features and operation related features; a random forest algorithm of cross validation is adopted for the sample features, and optimal sample features are screened out; extracting age features from the optimal sample features, and obtaining interaction items of the age features and other optimal sample features by using a logistic regression model; and testing the significance of the interaction item, and inputting the significant interaction item as a correction feature and an optimal sample feature into an XGBoost model for training for gastric cancer complication prediction. Optimal features highly related to complications are screened out from multiple patient features, interaction between ages and other features in the optimal features is considered to obtain interaction items, and the interaction items are introduced into a prediction model to improve the efficiency and accuracy of complication prediction.

Disclosed herein a method of visualizing and treating a cancer in a subject in need thereof, the method comprising: administering to the subject a tumor homing agent and a nerve homing agent. The technology described herein provides direct visualization of tissue, cells, and margins and direct visualization of nerves simultaneously in surgical settings and pathology samples in order to improve surgical outcomes in cancer surgeries and reduce comorbidities for patients.

Systems and methods for localizing close or positive margins in a tumor specimen from a subject are provided. A three-dimensional representation of the specimen is obtained, where the representation comprises more than 1000 three-dimensional points that define a boundary of the specimen. A plurality of annotations to the representation is received, including a first subset of annotations indicating an orientation of the representation relative to the subject, a second subset of annotations indicating a plurality of tissue sections from the specimen, and a third subset of annotations providing a margin status for respective tissue sections in the plurality of tissue sections, where the margin status indicates close or positive margins based upon pathological analysis of the respective tissue sections. A composite three-dimensional representation of the tumor specimen is formed by modifying the first three-dimensional representation of the tumor specimen to include the plurality of annotations.