35 results about "Thyroid papillary carcinoma" patented technology

The invention discloses a papillary thyroid cancer pathological image classification method based on deep learning, and mainly solves the problem of poor classification effect on papillary thyroid cancer pathological images in the prior art. According to the scheme, the method comprises the following steps: 1) reading a papillary thyroid cancer pathological section image with an amplification factor of 20, and inputting the papillary thyroid cancer pathological section image into an improved VGG-f convolutional neural network to obtain an attention heat map; 2) normalizing the attention diagram to obtain a discrimination force region position; reading a 40-time amplified thyroid cancer pathological image and obtaining an image block according to the position of the discrimination area; 3)inputting the image blocks into an original VGG-f network, constructing a loss function, and performing supervised training on the network; 4) extracting trained VGG-f network convolution features andperforming classification processing to obtain categories of the image blocks, and 5) judging the categories of the thyroid cancer pathological images according to the categories of the image blocks.The classification accuracy is high, and the method can be used for classifying the thyroid cancer papillary cancer pathological images by a computer.

The invention discloses a papillary thyroid carcinoma lymph node metastasis prediction method based on Transform-MIL. The method comprises the following steps: S1, extracting the characteristics of patch in WSI by using a lightweight ViT network; s2, selecting a key path by adopting a clustering-based strategy; s3, constructing a Transform-MIL model, learning relationships among instances from multiple aspects through a multi-head self-attention mechanism, and embedding instance-level features into packet representation; s4, combining a thyroid papillary set and a lymph node metastasis data set, and helping a Transform-MIL model to learn and predict lymph node metastasis through mutual knowledge distillation; according to the method, the Transform-MIL model is constructed, the instance-level features are better embedded into the packet representation, the morphological similarity between the tumor cells and the lymph node metastasis cells is fully utilized, and the knowledge of the relationship between the two data sets is transmitted by taking the attention map as a medium, so that the prediction accuracy of the lymph node metastasis histopathology image is improved.

The invention provides a cell separation technology, and particularly relates to a separation method of macrophage in a thyroid papillary carcinoma tissue. The separation method comprises the following separation steps of: placing the collected thyroid papillary carcinoma tissue into D-hanks liquid; flushing; removing D-hanks liquid and connective tissues; cutting the collected thyroid papillary carcinoma tissue into blocks; adding II type collagenase into the blocked tissue; performing digestion reaction for 1 to 3 hours at temperature of 35 to 40 DEG C; adding an 1640 culture medium containing 10% of fetal calf serum for stopping the digestion reaction; filtering; centrifuging; removing supernatant; resuspending and planking cell sap through the 1640 culture medium; transferring into a cell incubator containing 5% of CO2 for incubating; fully washing through PBS (Phosphate Buffer Solution); re-culturing the obtained anchorage-dependent cells; collecting the supernatant; and freezing and storing. According to the separation method, the separated macrophage is circular and can be tightly adhered to a petri dish and shows positive by staining by CD68; the positive rate reaches more than 95%, namely, the macrophage is separated successfully.

The invention relates to a thyroid myeloid cancer ultrasonic image identification method based on clinical prior knowledge guidance. Firstly, a thyroid nodule area is obtained by designing a cascade segmentation network, then a multi-branch classification network is designed, and according to clinical knowledge guidance of radiologists, important thyroid ultrasound image feature validity and calcification are added as prior knowledge to assist network classification. The method not only can distinguish benign and malignant nodules in the image, but also can accurately distinguish the malignant nodules into myeloid thyroid carcinoma and papillary thyroid carcinoma.

The invention discloses a colloidal gold chromatography test strip for rapidly detecting thyroid papillary carcinoma lymph node metastasis and a preparation method of the colloidal gold chromatography test strip. A sample pad, a combination pad, a nitrocellulose membrane and an absorption pad are sequentially overlapped at one end of a bottom plate from left to right; the binding pad is a polyester film sprayed with a Cyfra21-1/Braf V600E capture antibody-colloidal gold compound, the nitrocellulose film is coated with a detection line T and a quality control line C, an antibody in the detection line T is a Cyfra21-1/Braf V600E monoclonal antibody, and the quality control line C is goat anti-mouse IgG. The occurrence rate of false negative is reduced by improving the tissue utilization degree, the detection speed is increased through a chromatography test strip method, finally the purposes of reducing the missed diagnosis rate, relieving the disease burden of a patient and improving the working efficiency of thyroid surgery are achieved, and important clinical significance is achieved.

The invention provides an miRNA detection kit based on a sulfo-modified loop-mediated isothermal amplification method. The miRNA detection kit consists of a loop-mediated amplification reaction solution, an enzyme, a primer and probe mixed solution and a standard substance. Dumbbell-shaped DNA formed by connecting a base sulfo-modified linker probe Linker A/B in the presence of target miRNA is used as an amplicon and is combined with the same part of base sulfo-modified FIP/BIP primers to initiate LAMP exponential amplification; a sulfo-modified DNA structure can further enhance the amplification efficiency, the formed amplification product opens a signal probe-molecular beacon to generate a fluorescence signal, and the fluorescence signal of the target product is monitored by a real-timefluorescence quantitative PCR instrument, so that the target miRNA is detected, and the miRNA detection kit has the characteristics of strong stability, good specificity and high sensitivity. The miRNA detection kit can be used for detecting various miRNAs in serum of a papillary thyroid cancer patient, and can be used as a tumor marker for auxiliary diagnosis of papillary thyroid cancer.

The invention relates to a serum tRF marker used for PTC diagnosis. Secondly, the invention provides application of a reagent used for detecting an expression quantity of the tRF in the serum in preparation of a PTC diagnosis preparation. Finally, the invention provides a PTC diagnosis kit, the PTC diagnosis kit can measure the content of the tRF in the serum, and the nucleotide sequence of the serum marker is disclosed by SEQ ID NO.1. When a tRF molecule provided by the invention and a specific primer of the tRF molecule are taken as the diagnosis reagent, the diagnosis accuracy of the PTC can be further improved, help is provided for clinical doctors to quickly master the state of an illness of a patient and formulate a diagnosis and treatment scheme, and a foundation is laid for discovering a novel small molecule targeted medicine with a potential treatment value.

The invention discloses application of a reagent for detecting exosome miR-15a-5p in preparation of a papillary thyroid carcinoma iodine resistance screening kit, and belongs to the field of cancer diagnosis. In the plasma exosome of a patient with iodine-resistant papillary thyroid carcinoma, the level of miR-15a-5p is obviously lower than that of a patient with non-iodine-resistant papillary thyroid carcinoma. According to the discovery, the reagent for detecting the exosome miR-15a-5p is used for preparing the papillary thyroid carcinoma iodine resistance screening kit and has a good application prospect.

The invention discloses fluorescence immunochromatographic test paper for rapidly detecting human thyroglobulin (Tg) so as to rapidly identify thyroid papillary carcinoma lymphonodi cervicales metastasis. According to the test paper, a double-antibody sandwich method and a fluorescence immunochromatography technology are adopted to detect human Tg; and antibodies are prepared through specific antigen epitope peptides. With the method adopted, human Tg in an object to be detected can be rapidly and accurately detected. The test paper has the advantages of simple, convenient and rapid operation, wide detection range, high specificity and high sensitivity.

The invention relates to a molecular marker for distinguishing papillary thyroid carcinoma from benign thyroid nodules. The molecular marker is an RNA sequence segment of GAS8-AS1, wherein the RNA segment is as shown in SEQ ID No. 2, and a coding DNA sequence of the RNA sequence segment is as shown in Seq ID No.1. The invention also relates to application of the RNA fragment in preparation of a detection reagent or kit for distinguishing papillary thyroid carcinoma from benign thyroid nodules.

The invention provides a tool and a system for testing papillary thyroid carcinoma. The tool comprises a processor and a storage medium, the storage medium performs data interaction with the processor, and is used for executing the following steps when a program stored in the storage medium is loaded by the processor: identifying lectin chip data of saliva of a patient to be diagnosed through a papillary thyroid carcinoma identification model, and determining whether the patient to be diagnosed is a papillary thyroid carcinoma patient. According to the tool for testing papillary thyroid carcinoma, saliva of a patient to be diagnosed is identified through the papillary thyroid carcinoma diagnosis module, whether a sample to be diagnosed is a papillary thyroid carcinoma sample or not is determined, and the tool has the advantages of being convenient to sample and high in sensitivity; and whether a subject suffers from papillary thyroid carcinoma or not can be quickly identified.

The invention discloses a risk assessment model for papillary cancer of a thyroid nodule patient, and the model is characterized in that the model comprises the steps: carrying out the risk factor analysis of PTC through Logistic regression, and selecting a specific index as an independent variable of the model; constructing a BP neural network model comprising three layers of feedforward neural network structures of an input layer, a hidden layer and an output layer, and training and predicting the BP neural network model by utilizing data information comprising the specific indexes; and comparing a prediction value output by the model with a real value, drawing an ROC curve to obtain an area AUC under the curve, evaluating the diagnosis performance of the model by using the AUC value, and the like, so that the model with the diagnosis performance reaching the standard is a target risk evaluation model. The risk assessment model can be used as a reference for a doctor to diagnose papillary thyroid carcinoma, and the accuracy of diagnosis of papillary thyroid carcinoma diseases is improved.

The invention discloses a kit for assisting in screening of familial papillary thyroid carcinoma, and belongs to the field of gene polymorphism detection kits. The kit mainly comprises a reagent for detecting the variant human CSTF3 gene, and the gene is the CSTF3 gene corresponding to the 33106691th base of the eleventh chromosome of the genome changed from G to A. The invention further discloses an application of the reagent for detecting the base variation in preparation of a reagent for assisting in screening of familial papillary thyroid carcinoma and a kit for assisting in screening of the familial papillary thyroid carcinoma. The kit disclosed by the invention can be used for assisting in diagnosis of thyroid cancer and has an excellent application prospect.

The invention discloses application of a reagent for detecting exosome miR-6879-5p in preparation of a thyroid cancer lymph node metastasis detection kit, and belongs to the field of cancer diagnosis. In the plasma exosome of a papillary thyroid carcinoma lymph node metastasis patient, the level of miR-6879-5p is obviously higher than that of a non-lymph node metastasis patient. According to the discovery, the reagent for detecting the exosome miR-6879-5p is used for preparing the thyroid cancer lymph node metastasis detection kit, whether a papillary thyroid cancer patient has lymph node metastasis or not can be accurately judged, and the kit has a good application prospect.

The invention belongs to the technical field of biological detection, and specifically discloses a circulating circular RNA marker for diagnosing invasive papillary thyroid carcinoma and its application. The biomarker for diagnosing invasive papillary thyroid carcinoma is circulating circular RNA, The circulating circular RNAs are circ_0058090 and circ_0014188. The biomarker of the invention has high sensitivity and specificity, can be effectively used in the diagnosis of invasive PTC, and can significantly improve the survival of patients.