15 results about "Thyroid nodular" patented technology

The application relates to the field of medical image assisted ablation technology, and provides a thyroid nodule ablation control system based on ultrasound contrast parameters. The system comprises an ultrasound data acquisition module, a contrast parameter analysis module, a blood supply identification module, an ablation strategy generation module, an ablation execution module, a feedback evaluation module, a closed-loop control module and an energy optimization module. By acquiring an ultrasound contrast image of target tissue, perfusion time, perfusion intensity and perfusion sequence parameters are extracted, blood supply arteries or blood supply areas are identified, and a phased ablation strategy is generated, the blood supply area is preferentially ablated, and then main ablation is carried out on the target tissue; at the same time, residual active areas are detected based on contrast feedback, and supplementary ablation is carried out through a closed-loop control mechanism; and ablation parameters are dynamically optimized in combination with a unit volume energy model. The system can improve ablation integrity, reduce the heat sink effect and the risk of intraoperative bleeding, reduce the recurrence rate, and improve energy utilization efficiency.

This invention relates to the field of traditional Chinese medicine and natural medicines, and discloses a traditional Chinese medicine composition for treating thyroiditis, nodular goiter, and thyroid nodules, as well as its preparation method and application. The traditional Chinese medicine composition is made from raw materials in parts by weight of 1-30 parts of Prunella vulgaris, 1-30 parts of Taraxacum mongolicum, 1-30 parts of Hordeum vulgare malt, 1-20 parts of Citrus reticulata peel, 1-24 parts of Crataegus pinnatifida, and 1-24 parts of Raphanus sativus seed. It can not only significantly reduce serum TgAb and TPOAb antibody levels, inhibiting the attack of autoimmune response on the thyroid gland from the source, but also effectively reduce lymphocyte infiltration, repair damaged thyroid follicular structure and restore colloid content, thereby reversing immune damage and tissue destruction of the thyroid gland, reducing thyroid nodules, and solving the problems of existing treatments for thyroiditis, nodular goiter, and thyroid nodules that cannot reverse immune damage to the thyroid gland, destruction of follicular structure, and tissue fibrosis.

This invention provides a method for analyzing the radiomics characteristics of medullary thyroid carcinoma based on ultrasound, relating to the field of image or video recognition or understanding technology. The method includes: obtaining data from thyroid surgeries at various target hospitals to form a backup dataset; filtering the backup dataset to obtain a target dataset; labeling the data in the target dataset with Regions of Interest (ROIs); performing feature extraction and feature filtering on the data in the target dataset to obtain training and validation sets; constructing a target radiomics feature model; calculating radiomics feature scores based on the target radiomics feature model; obtaining a clinical feature model, an ultrasound feature model, a comprehensive model, and a scoring model based on logistic regression analysis; and performing radiomics feature analysis based on the clinical feature model, ultrasound feature model, comprehensive model, and scoring model. This invention solves the problems of low diagnostic accuracy and high requirements for experience of image interpreters in existing technologies for thyroid nodules.

This invention relates to the technical field of ultrasound image feature extraction for thyroid nodules, specifically to a method and system for ultrasound image feature extraction of thyroid nodules. The method includes the following steps: acquiring an ultrasound image containing thyroid nodules; performing multi-scale image analysis on the ultrasound image to construct a multi-scale image representation of the ultrasound image; using the multi-scale image representation to identify low-echo regions in the ultrasound image, and combining feature analysis, judgment correction, and spatial relationship verification to determine the acoustic shadowing region in the ultrasound image; performing suppression processing on the acoustic shadowing region, wherein the suppression processing includes unifying the signal within the acoustic shadowing region and softening the boundary of the acoustic shadowing region to obtain an optimized image; identifying the contour of the thyroid nodule based on the optimized image; and quantifying the morphology and internal structure of the thyroid nodule based on its contour. This application can effectively identify and suppress acoustic shadowing regions in ultrasound images.

This invention relates to the field of image analysis technology, specifically to an automatic classification method for benign and malignant thyroid nodules based on multimodal ultrasound imaging. The method involves acquiring images of thyroid nodules; given that the invasive growth of cancer cells in malignant nodules can damage cell structure and induce grayscale mutations, the nodule region is segmented and divided into sub-regions. The grayscale similarity of sub-regions is analyzed to quantify local heterogeneity, yielding spatial grayscale performance indicators; then, the correlation between these indicators and the proportion of blood flow pixels is analyzed to establish a structural-blood flow abnormality association model, obtaining the blood flow supply matching degree; further, based on shape and edge grayscale fluctuation analysis, a structural disorder index is obtained, infiltration candidate areas are located, and blood flow is analyzed to obtain peripheral invasive blood flow indicators. Combining the correlation between these two indicators with the blood flow supply matching degree, a structure-blood flow coupling coefficient is obtained; finally, multiple indicators are integrated to obtain a malignancy risk score, and a classification neural network is trained to classify the risk level of samples, assisting doctors in making refined judgments.

This article discloses a method for identifying the nature of thyroid nodules, including detecting the DNA methylation level in a sample selected from the following regions (1) and (2): (1) fragments of one or more of the following genes: COL23A1, ILDR2, DHRS3, KIF1A, GDNF, TBX18, and (2) nucleic acid regions within 10 kb upstream and downstream of the genes (1).

The current disclosure provides, inter alia, method of determining benign nodules from thyroid cancer in a subject that is found to have a thyroid nodule, method of treating thyroid cancer in a subject detected to have thyroid cancer by the method of the current disclosure, compositions for determining benign nodules from thyroid cancer in a subject, and kits including reagents and composition for determining benign nodules from thyroid cancer in a subject.

This article discloses a method for identifying the nature of thyroid nodules, including detecting the DNA methylation level in a sample selected from the following regions (1) and (2): (1) fragments of one or more of the following genes: GAS6, SOX17, ZMIZ1, TSHR, CDH1, MCRIP2, LINC01977, EGR3, and (2) nucleic acid regions within 10 kb upstream and downstream of the genes (1).

The application discloses a kind of based on multimodal fusion's thyroid nodule BRAF gene mutation prediction system and method, belong to medical auxiliary diagnosis field, including: data acquisition module, for obtaining the conventional ultrasound image of target thyroid nodule, real-time shear wave elastography quantitative data and puncture cytology image;Multimodal feature extraction module includes ultrasound feature extraction unit, elastic feature extraction unit and cytology feature extraction unit;Feature fusion module is configured to by based on the deep learning model of attention mechanism, the ultrasound image depth feature, the elastic feature and the cytology depth feature are adaptively fused in feature level, and obtain fusion feature;Prediction module is configured to the fusion feature is input into classifier, and the prediction result that whether the target thyroid nodule exists BRAF gene mutation is output.For the precise diagnosis and treatment of thyroid nodule, individualized treatment decision and clinical process optimization provide innovative technical support.

The application discloses a traditional Chinese medicine composition for preventing and treating Hashimoto's thyroiditis and complications (thyroid nodules and / or mammary gland hyperplasia), which is prepared from raw medicinal materials in the following proportions: 1-10 parts of ginseng, 1-15 parts of astragalus, 1-40 parts of fritillaria, 1-20 parts of prunella vulgaris, 1-20 parts of smilax, 1-18 parts of curcuma, and 1-19 parts of scutellaria. In addition, the application also discloses a preparation method and application of the traditional Chinese medicine composition. Clinical efficacy and pharmacological researches prove that the traditional Chinese medicine composition has multiple effects of clearing heat and resolving toxins, promoting blood circulation to remove blood stasis, and tonifying qi and invigorating the spleen, so that the purposes of dispersing thyroid nodules, reducing mammary gland hyperplasia, and improving Hashimoto's thyroiditis symptoms are achieved.

This invention discloses a method, device, and storage medium for thyroid nodule segmentation based on multi-scale decoding. The segmentation method includes acquiring and preprocessing ultrasound image data of thyroid nodules, and then inputting it into a segmentation model for segmentation. The segmentation model includes an encoder, a decoder, and an unbiased spectral decoupling module. The encoder is arranged in a pyramid structure; the decoder includes a segmentation head, which includes a residual perception module and a feature attention module; the unbiased spectral decoupling module decouples deep data to obtain decoupled data, and then fuses the decoupled data with adjacent shallow data. This invention has the advantages of fully utilizing the multi-scale features of thyroid nodules extracted by the decoder during the decoding stage based on ultrasound image data of thyroid nodules, effectively integrating global contextual information and local detail features, ensuring the balance between detail and semantic consistency during segmentation by decoupling high-frequency and low-frequency features, accurately focusing on thyroid nodules, and achieving high segmentation accuracy.

This invention discloses a thyroid nodule thermal ablation liquid isolation assessment system, method, and electronic device. The method includes the following steps: acquiring a patient's neck ultrasound image and neck CT image; based on the ultrasound image, segmenting the thyroid gland, thyroid nodule, and at least one dangerous neck organ using a deep learning network, and obtaining the segmentation contours of each organ; registering and fusing the segmentation contours with the CT image to construct a patient-specific three-dimensional anatomical model containing the thyroid gland, thyroid nodule, and at least one dangerous neck organ; based on the three-dimensional anatomical model, calculating the three-dimensional spatial distance between the thyroid nodule and the at least one dangerous neck organ; based on the three-dimensional spatial distance, assessing the necessity and feasibility of implementing liquid isolation, and outputting the assessment results.

This invention relates to the technical field of thyroid ultrasound image detection, and provides a method and system for thyroid ultrasound image nodule detection based on pattern recognition. The method includes: identifying a decisive local region that plays a crucial role in determining thyroid nodules in ultrasound image data based on fine feature data and stable feature data, and performing depth analysis to obtain depth analysis results; when an acoustic shadowing region exists within the decisive local region, inferring the structural characteristics of the acoustic shadowing region based on ultrasound imaging principles and surrounding tissue information, and performing structural feature enhancement processing on the decisive local region to update the depth analysis results; and generating and outputting auxiliary interpretation information based on the fine feature data, stable feature data, and depth analysis results. This invention improves the accuracy and stability of auxiliary interpretation information for thyroid ultrasound image nodule detection.

1. The name of the design product: intelligent ultrasonic robot. 2. The use of the design product: the design product is used for autonomous ultrasonic imaging, real-time evaluation of thyroid nodules, carotid plaque and breast lesions, and provides non-invasive diagnosis suggestions for multiple system diseases, and can be applied to medical, community, rural and other diagnosis screening scenes. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This invention belongs to the field of medical device technology, and specifically relates to a novel self-adjusting hemostasis device after thyroid nodule surgery. It includes a neck block with one sidewall being arc-shaped, and further includes two end plates, each disposed on one side of the neck block. Grooves are formed at both ends of the neck block, and the end plates seal the openings of these grooves. Two sliding plates are slidably disposed within their respective grooves, and springs are fixed between the sliding plates and the end plates. This invention provides controllable constraint and progressive resistance to the patient's head movements, limiting excessive head tilting and reducing the risk of tissue traction and vascular tearing in the surgical area. It also automatically adjusts the pressure on the wound during head movement, achieving dynamic hemostasis compensation and improving hemostasis stability and safety. Simultaneously, it enables airflow heat exchange in the wound area, enhancing the postoperative cold compress hemostasis effect and providing a safe and reliable environment for wound healing.