64 results about "Post radiotherapy" patented technology

The invention discloses a tumor radiotherapy prognosis prediction simulation method and system based on big data and a medium, and relates to the technical field of tumor radiotherapy prognosis, and the method comprises the following steps: collecting basic physiological information of a tumor patient, and collecting a color image and a temperature image of skin of a radiotherapy part of the tumor patient; skin color feature extraction and skin temperature feature extraction are carried out to obtain skin color feature data and skin temperature feature data; a radiodermatitis prediction model is constructed; performing prediction simulation on the skin of the radiotherapy part of the tumor patient based on the radiodermatitis prediction model, and performing prediction simulation correction to obtain a radiodermatitis prediction result of the tumor patient; the method is used for solving the problem that when an existing tumor radiotherapy prognosis technology is used for predicting and simulating disease development, the risk and time of radiodermatitis of a tumor patient cannot be objectively and accurately predicted and simulated according to physiological characteristics of skin of the tumor patient after radiotherapy.

The invention belongs to the technical field of data processing, and particularly discloses a method and system for predicting the lifetime of a non-small cell lung cancer patient after radiotherapy, and the method comprises the steps: collecting multi-time-point imaging and hematology follow-up visit data of the patient after radiotherapy, building a longitudinal follow-up visit sequence, and mapping the longitudinal follow-up visit sequence to a unified time axis; determining a bimodal first-time significant improvement point through preset rule judgment, and constructing and standardizing an asynchronous index according to the bimodal first-time significant improvement point; then inputting a feature vector at a follow-up time point, encoding a bimodal sequence through a Transform time sequence encoder, and generating joint representation through cross-modal interaction; and finally, inputting the standardized asynchronous index, the joint representation and the clinical and radiotherapy characteristics into a DeepHit model, and outputting a patient survival distribution prediction result. According to the method, bimodal indexes can be accurately captured, time dislocation is improved, prediction accuracy and individualization degree are improved, and a reliable basis is provided for clinical prognosis evaluation.

The invention provides a method and system for analyzing lung cancer brain metastasis organoid cell subpopulation and functional characteristics, and the method comprises a series of steps: data quality control, batch effect removal, cell grouping, copy number variation inference, quasi-time sequence analysis, function enrichment analysis, and drug sensitivity analysis before and after radiotherapy. Single cell transcriptome sequencing data obtained after organoid culture is subjected to personalized analysis, heterogeneity of tumor cells and sensitivity of the tumor cells to drugs after radiotherapy are described, and the characteristics of all cell subgroups in the lung cancer brain metastasis organoid and the effect of the cell subgroups in the tumor microenvironment can be accurately analyzed; powerful support is provided for mechanism research and precise medicine of lung cancer brain metastasis.

The invention discloses a tumor radiotherapy rehabilitation nursing intervention system based on artificial intelligence, and relates to the technical field of tumor rehabilitation nursing. By integrating multi-dimensional data and combining clinical standards to output quantitative evaluation levels and key weak dimensions, rehabilitation weakness of a patient is accurately positioned, a targeted target is provided for the nursing intervention strategy generation module, a personalized scheme is generated, and pertinence and performability of intervention are ensured; policy execution data are captured in real time and a scheme is dynamically adjusted, so that the intervention process always adapts to the rehabilitation state change of a patient, and meanwhile, active management and control on high-risk groups are enhanced by periodically collecting core indexes and linking risk upgrading and priority intervention, so that the tumor radiotherapy rehabilitation nursing is changed from passive response to active pre-judgment, and the rehabilitation nursing efficiency is improved. And the overall quality of rehabilitation nursing after radiotherapy and the prognosis effect of a patient are optimized.

The invention discloses an X-ray thermoacoustic image reconstruction method based on self-supervised multi-view fusion, and relates to the technical field of medical imaging and radiotherapy dose monitoring. The method comprises the following steps: firstly, acquiring initial sound pressure distribution after radiotherapy simulation by utilizing a tissue HU value and related physical attributes, and simulating X-ray induced ultrasonic signals under different sampling conditions under a K-Wave platform so as to construct a diversified training data set, further, providing a multi-view fusion and artifact decoupling network model MFDRNet based on self-supervision, according to the model, sparse acoustic signals and image feature information can be extracted and fused at the same time, reconstructed global and local detail expressions are enhanced through a multi-scale attention mechanism, and separation of a real structure and artifact components is achieved by means of an artifact decoupling structure; in the training process, a self-supervision loss mechanism is adopted, and stable training can still be completed under the condition of lack of high-quality full-sampling labels.

The invention discloses a traditional Chinese medicine compound composition with an effect of preventing and treating radioactive injury as well as a preparation method and application thereof. The traditional Chinese medicine compound composition is prepared from 5-15 parts of American ginseng, 3-6 parts of sea-buckthorn and 10-30 parts of rhizoma polygonati. The composition is proportioned and optimized according to the theory of treatment based on syndrome differentiation, and the medicines are combined to achieve the effects of tonifying qi, activating blood and nourishing yin. Clinical experiment results show that the traditional Chinese medicine compound composition provided by the invention has a remarkable effect of preventing and treating radioactive injury, particularly has a remarkable curative effect in the aspects of improving oral mucositis, dry mouth, weakness, sleep disorder and the like after radiotherapy, and is safe in clinical medication.

The invention discloses a radiotherapy activated self-assembled polypeptide magnetic resonance contrast agent as well as a preparation method and application thereof. The magnetic resonance contrast agent is prepared by sequentially connecting a tumor targeting peptide module, a radiotherapy activation peptide module, an assembly peptide module and a contrast molecule fragment module through solid-phase synthesis. The magnetic resonance contrast agent can perform targeted recognition in tumor-bearing mice and penetrate tumor cells, and can perform self-assembly under the action of apoptosis protease generated by induction after radiotherapy to form nanofibers, so that the intracellular residence time is prolonged, T1 weighted magnetic resonance imaging signals are enhanced, and the imaging contrast ratio of tumor parts after radiotherapy is further improved. The magnetic resonance contrast agent provides higher accuracy and safety for tumor radiotherapy guided by magnetic resonance imaging, can be used as a novel molecular probe for monitoring the tumor radiotherapy process and effect in real time, and has a good clinical application prospect.

This invention discloses an artificial intelligence-based intervention system for tumor radiotherapy rehabilitation nursing, belonging to the field of tumor rehabilitation nursing technology. By integrating multi-dimensional data and combining clinical standard output quantitative assessment levels and key weakness dimensions, this invention accurately identifies patients' rehabilitation shortcomings, providing targeted objectives for the nursing intervention strategy generation module and generating personalized plans to ensure the intervention's relevance and feasibility. It captures strategy execution data in real time and dynamically adjusts the plan, ensuring the intervention process always adapts to changes in the patient's rehabilitation status. Simultaneously, by regularly collecting core indicators and linking risk escalation and priority intervention, it strengthens proactive management of high-risk groups, realizing a shift from passive response to proactive prediction in tumor radiotherapy rehabilitation nursing, thus optimizing the overall quality of post-radiotherapy rehabilitation nursing and patient prognosis.

The utility model relates to the technical field of rehabilitation training, in particular to a lower limb rehabilitation training device for radiotherapy nursing, which comprises a base and a mounting seat fixed above the base, a pedal training device is arranged on the outer side of the mounting seat to provide riding training for a patient, a backrest seat is arranged above the mounting seat, and the pedal training device is connected with the backrest seat. A supporting frame is arranged on the left side of the backrest seat, a handle is fixed to the upper portion of the supporting frame, a translation pushing mechanism is arranged on the right side of the backrest seat and provides training resistance for horizontal movement of the backrest seat, and a pedal is arranged on the right side of the supporting frame and provides lower limb bending training support for a patient. According to the lower limb rehabilitation training device for radiotherapy nursing, pedal training is provided for a patient through the pedal training device, bending and straightening training of legs of the patient can be achieved through cooperation of the pedal plate and the backrest seat, two different training modes are provided for the legs of the patient, training diversity is improved, and recovery of the patient after radiotherapy is facilitated.

The present invention discloses a method, system, device and storage medium for processing radiomics data of recurrent nasopharyngeal carcinoma. The radiomics data processing method comprises: obtaining MRI image data of patients with recurrent nasopharyngeal carcinoma; extracting image data for analysis, segmenting lesions, extracting image features, screening radiomics key features; inputting radiomics key features into the random forest model obtained through training to predict the risk of nasopharyngeal necrosis. The present invention provides accurate guidance for the prediction of the risk of nasopharyngeal necrosis and the formulation of treatment plans for patients with recurrent nasopharyngeal carcinoma, so that a part of patients with high risk of nasopharyngeal necrosis can avoid adverse outcomes after re-radiotherapy, and promote individualized and accurate diagnosis and treatment of recurrent nasopharyngeal carcinoma.

The invention discloses a nano-vesicle composition for inhibiting tumor metastasis after radiotherapy, which is characterized in that the nano-vesicle is an engineered bacterial outer membrane vesicle (OS-D), and the composition also comprises a pH responsive phospholipid modification component and a small interfering RNA (siRNA) capable of silencing CCDC25 gene expression; the siRNA is used for inhibiting formation of neutrophil Extracellular Traps (NETs) induced by radiotherapy and tumor cell migration and metastasis mediated by the NETs by blocking the interaction between the NETs and tumor cells, so that the effect of inhibiting tumor metastasis after radiotherapy is realized. The nano-vesicle composition provided by the invention can specifically block tumor metastasis mediated by neutrophil extracellular traps in a tumor microenvironment so as to enhance the effect of tumor postoperative radiotherapy and chemotherapy and effectively inhibit tumor metastasis and relapse.

This paper proposes a tumor-associated fibroblast-targeted nanosystem, consisting of PLGA nanoparticles co-encapsulating anti-fibrotic and anti-aging drugs as the core, and a 4T1 cell membrane expressing a specific FAP chimeric antigen receptor as the biomimetic shell. The present invention constructs FAP-CAR-4T1 cells by embedding FAP scFv onto 4T1 cells. FAP-CAR-CM@PLGA NPs co-encapsulate anti-fibrotic and anti-aging drugs, enabling FAP-CAR-CM@PLGA-AB NPs to target CAFs and SC CAFs, improving radiotherapy resistance and achieving a dual clearance effect while simultaneously relieving the tumor's immunosuppressive microenvironment, effectively reducing breast cancer recurrence after radiotherapy.

This application provides a method and system for predicting tumor radiotherapy response based on multi-instance learning. The method includes: constructing a radiotherapy image dataset; extracting and combining multi-dimensional features from the radiotherapy image dataset to obtain an embedded representation of the multi-dimensional features; the multi-dimensional features include two-dimensional convolutional features and three-dimensional convolutional features; constructing a Transformer-based multi-instance learning model; iteratively training the multi-instance learning model using the embedded representation of the multi-dimensional features as model input to obtain a trained multi-instance learning model; using the trained multi-instance learning model to predict the patient's mid-term radiotherapy response, and analyzing and evaluating the model prediction process using interpretable analysis, and evaluating the model prediction results for the patient's tumor region. The method provided in this application can predict the response after tumor radiotherapy, thereby intelligently assisting doctors in making precise radiotherapy decisions for patients and reducing the risk and harm to patient prognosis.

The invention belongs to the technical field of tumor radiotherapy assistance, and particularly relates to a tumor radiotherapy assistance device which comprises a radiotherapy bed, a translation plate and positioning holes. According to the invention, the radiotherapy bed is assembled at the side end of the external radiotherapy equipment through the positioning hole and the bolt body structure at the side end. The translation plate slides through a motor and a ball screw which are arranged in the radiotherapy bed, and conveys the patient to a radiotherapy area. After the patient finishes radiotherapy, if the patient is weak and inconvenient to walk, the patient can sit on the first cushion of the cart under the support of the medical staff. Afterwards, transferring is carried out through traction of medical staff. In the process, an operator only needs to pull the trigger plate with two hands, the spring bolt can be separated from the clamping groove under the supporting of the supporting shaft, and then unlocking is completed. When the cart is used for transporting and transferring a patient, due to the fact that the first cushion leaves, the second cushion needs to be pulled out from the inside of the radiotherapy bed, and the gap of the radiotherapy bed is filled up by the second cushion under the support of the spring bolt, so that a complete bed surface is formed.

The invention provides a tumor-associated fibroblast targeting nano adjuvant as well as a preparation method and application thereof, and belongs to the field of nano drugs. The nano adjuvant (named as PF9PEI and alpha PC NPs) provided by the invention is coupled with PEI25K modified by 3-perfluorobutyl-1, 2-epoxypropane by utilizing a PD-L2 targeting peptide nrirgenyryh, so that an efficient gene vector (PF9PEI) is formed, and is used for loading an alpha PD-L1-P2A-CD86 plasmid. According to the nano adjuvant, CAFs can be reprogrammed into engineered antigen presentation CAFs by expressing a costimulatory molecule CD86, so that T cell immunity of breast cancer specificity is activated, and T cell failure is retarded at the same time. Besides, the engineered CAFs generated by the nano adjuvant generate alphaPD-L1 locally, so that the immune escape mechanism of breast cancer cells is effectively blocked, and the immune surveillance function of T cells is recovered. After radiotherapy, by using the nano adjuvant for treatment, the generation of central memory T cells is promoted, the progress of the same solid tumor is inhibited, the tumor metastasis is eliminated, and the tumor recurrence is inhibited.

The utility model relates to oral cavity exercise equipment technical field especially nasopharyngeal carcinoma post -radiotherapy oral cavity support exercise device, its technical scheme includes support ring, still includes upper denture and lower denture, is located in the one side of support ring and sets up oppositely up and down, is located in the upper denture and lower denture middle part air bag, the utility model discloses the cooperation of support ring, air bag, measuring mechanism, broadcast mechanism etc. structure, when using device, through the inflation nozzle through gas pipe to air bag inflation, can adjust the upper denture and lower denture opening amplitude, adapts to different oral cavity state, promotes the comfort degree, when the upper denture and lower denture movement, drive first slide rod, second slide rod and pointer slide on the oval measuring ring, the intuitive display opening amplitude, sliding adjustment slider set target value, when first slide rod triggers contact sensor, voice prompter will feedback further situation, let the user clear grasp progress, strengthen the persistence power, avoid the midway abandonment.

The utility model discloses a skin protection device after breast radiotherapy, which comprises a first suspender and a second suspender, protective covers are connected outside the front surfaces of the first suspender and the second suspender through zippers, and an adjusting mechanism is arranged on one side of the first suspender; the adjusting mechanism comprises an adjusting shell fixedly installed on one side of the first suspender, an adjusting opening is formed in the outer wall of one side of the adjusting shell, the inner wall of the bottom of the adjusting shell is rotationally connected with a rotating shaft through a bearing, and the distance between the two protection covers can be adjusted through rotation of the rotating shaft. The protective covers of the first suspender garment and the second suspender garment can accurately protect the breast part through the rotation operation of the rotating shaft in the adjusting shell, the effectiveness of the device can be protected through fine adjustment, extra pressure or friction on a wound can be avoided, and the good protection effect on a breast cancer patient is achieved.

The invention relates to the technical field of medical treatment, and particularly discloses a radiation pneumonitis prediction model based on computed tomography, which comprises the following steps of: defining an intra-pulmonary region receiving radiation dose of more than 20Gy and 30Gy on a CT image (CT1) as V20 and V30 as a region of interest, extracting radiomics characteristics and dosiomics characteristics in the region of interest, and calculating the radiation pneumonitis in the region of interest according to the radiomics characteristics and the dosiomics characteristics; the method comprises the following steps: selecting patients subjected to 40Gy-50Gy radiotherapy and subjected to a field contraction plan CT image (CT2) from the patients, extracting radiomics characteristics of regions of interest V20 and V30 in the field contraction plan CT image (CT2), obtaining delta-radiomics characteristics by using delta-RF = RFCT2-RFCT1, evaluating the performance of a model by using an area under an ROC curve, calculating a confidence interval by using statistics and a bootstrap method, and calculating the reliability of the model according to the confidence interval. The significant difference of ROC curve areas of different models is detected by using Delon detection, and the pneumonia is predicted by constructing the models in a manner of combining three omics, namely radiomics, dosiomics and delta-radiomics.

The invention relates to spray for treating radioactive dry mouth of nasopharynx cancer patients after radiotherapy as well as a preparation method and application of the spray, and belongs to the technical field of biological medicines. The fusion protein comprises a lamin recombinant protein, an FGF8 recombinant protein and an Eda recombinant protein which are mutually fused and connected, the fusion protein is high in purity and relatively small in molecular weight after being purified in multiple steps, the fusion protein has the function of promoting salivary gland somatic cell regeneration in vitro, and the effect of the fusion protein is better than that of the fusion protein obtained from the lamin recombinant protein, the FGF8 full-length protein and the Eda full-length protein. The spray for treating radioactive xerostomia after radiotherapy of nasopharynx cancer patients is prepared from the fusion protein LFE, has the functions of promoting salivary gland cell regeneration and salivary secretion in vivo, has a treatment effect on radioactive xerostomia, and can be widely applied clinically.

The invention relates to a drug molecule with a tumor treatment effect, a nano prodrug system and a preparation method and application of the drug molecule and the nano prodrug system, a CA4-DNBS structure is constructed by introducing a DNBS group into a CA4 molecule, and SO2 and CA4 can be released under the condition of high expression of GSH in tumor cells. Furthermore, near-infrared fluorescent dye ICG is introduced to form nanoparticles, so that the water solubility and biocompatibility of the prodrug are improved, and premature release of SO2 is inhibited. After entering tumor cells, the nano prodrug responsively releases SO2 under the action of GSH and consumes GSH in the cells, so that the sensitivity to chemotherapy and radiotherapy is enhanced. After intravenous injection, the nano system can improve the enrichment and release efficiency of the drug at the tumor site by virtue of a passive targeting effect. After the medicine is matched with radiotherapy, tumor growth can be remarkably inhibited through multiple synergistic effects of gas therapy, chemotherapy and radiotherapy.

The present application relates to the field of biomedical technology, and in particular to an application of a molecular marker combination in radiation pneumonitis; the application includes: using the molecular marker combination as a biomarker for radiation pneumonitis, the molecular marker combination including CXC chemokine ligand 16 and / or CC chemokine ligand 24; by performing cytokine chip detection and screening on peripheral blood specimens of multiple lung cancer patients undergoing chest radiotherapy after radiotherapy, it was found that patients with high expression of CXC chemokine ligand 16 and CC chemokine ligand 24 early after radiotherapy have a higher risk of developing radiation pneumonitis in the future, and therefore the expression levels of CXC chemokine ligand 16 and CC chemokine ligand 24 can be used to make early predictions of the occurrence of radiation pneumonitis, and therefore the above-mentioned molecular marker combination may become an early prediction tool for radiation pneumonitis in clinical practice.

The invention discloses an image enhancement-based mouth opening difficulty degree evaluation system for a head and neck radiotherapy patient. The system comprises an image acquisition module, a mouth opening image enhancement module, a mouth opening image segmentation module and a mouth opening difficulty degree evaluation module. The invention belongs to the field of image processing, and particularly relates to a head and neck radiotherapy patient mouth opening difficulty degree evaluation system based on image enhancement, and the scheme adopts a sensitivity weight-based sampling strategy to alleviate the problem of influence of class imbalance on subsequent evaluation; a local attenuation compensation item is introduced, and correction is carried out based on a multi-scale degradation feature extraction unit and an adaptive modulation parameter generation unit; on the basis of construction of region penalty loss and introduction of boundary numerical value supervision loss of boundary distance weighting, global and local information is considered, and the method adapts to characteristics of edge blur and different local forms generally existing in patient images after radiotherapy; and thus, the mouth opening difficulty degree evaluation effect of the subsequent head and neck radiotherapy patient is improved.

A DVV curve generation method, device, equipment and readable storage medium, including obtaining a planned radiation dose corresponding to a target risk organ, generating multiple target radiation doses based on a dose gradient coefficient and the planned radiation dose; performing feature extraction on a pre-radiotherapy CT image and a risk organ dose image corresponding to the target radiation dose to generate a first deformation field; performing feature extraction on a pre-radiotherapy CT image and a non-risk organ dose image corresponding to the target radiation dose to generate a second deformation field; generating a target deformation field after fusing the first deformation field and the second deformation field, performing spatial transformation on a pre-radiotherapy target risk organ mask corresponding to the target radiation dose based on the target deformation field to output a post-radiotherapy target risk organ mask; determining a target atrophy amount based on the post-radiotherapy and pre-radiotherapy target risk organ masks; generating a DVV curve based on the correspondence between the target atrophy amount and the dose gradient coefficient, so as to objectively and accurately obtain the correspondence between the dose and the risk organ atrophy.

The utility model relates to the technical field of rehabilitation devices, in particular to a rehabilitation device used in the rehabilitation period after tumor radiotherapy, which comprises a base, a breathing tube is mounted at the upper end of the base, a placing mechanism for placing the breathing tube is arranged at the bottom of the base, and the placing mechanism comprises a fixed block, a spring, a movable block and a placing groove. The fixed block is arranged at the bottom of the base, the two springs are fixedly connected to the two ends of the fixed block, the movable block is fixedly connected to the ends of the two springs, the containing groove is formed in the upper surface of the movable block and used for containing a breathing tube, and the face, away from the springs, of the movable block is fixedly connected with a pull ring. The fixing block and the spring are used for supporting and fixing the moving block, and the placing groove in the moving block is used for placing the breathing tube, so that the breathing tube is prevented from being in direct contact with the placing surface where the base is placed, the mouthpiece part is effectively protected, pollution caused by contact with the external environment is avoided, and the health of a patient is guaranteed.

The invention discloses a precise administration prompting system for a fibroblast growth factor product after radiotherapy. The system comprises a hand-held terminal which is used for collecting a time sequence image sequence, a multi-view image and individual metabolism characteristic parameters of a skin wound after radiotherapy; the control module is used for carrying out feature extraction on the time sequence image sequence according to a deep convolutional neural network based on transfer learning and outputting wound feature parameters; the wound feature parameters comprise erythema area, epidermis exfoliation rate and percolate coverage rate; wound topological structure parameters are obtained according to the multi-view image and the wound characteristic parameters; acquiring a radiotherapy period parameter corresponding to the skin wound; according to the wound feature parameters, the wound topological structure parameters, the radiotherapy period parameters and the individual metabolism feature parameters, preset administration scheme information of the fibroblast growth factor product is generated, and the administration scheme information comprises an administration time window, an administration dosage and an administration interval; and the control module sends the administration scheme information to the handheld terminal.

The invention belongs to the field of new application of medicines, and particularly relates to application of Sivelestat in preparation of cancer radiotherapy adjuvant medicines. According to the invention, Sivelestat which has been used for acute respiratory distress syndrome is creatively applied to tumor radiotherapy, and the Sivelestat inhibits the activity of neutrophil elastase and effectively blocks the formation of a neutrophil outer trapping net induced by radiotherapy, so that the invasion of tumor cells and the abnormal generation of blood vessels are inhibited, and an immunosuppression microenvironment is established. The application not only maintains the local killing effect of radiotherapy on primary tumors, but also cuts off the key path from radiotherapy to NETs to metastasis from the mechanism, and significantly reduces the risk of tumor recurrence and distant metastasis after radiotherapy. The traditional Chinese medicine composition has the transformation advantage of new use of old medicines, is clear in clinical safety, and is suitable for adjuvant therapy of various solid tumors.

The expansion tool comprises a probe rod and an endoscope controller, the probe rod is formed by coaxially fixing a rod head, a rod body and a rod tail, a through cavity is formed in the probe rod in the axial direction, and outer supporting plates with hollowed-out openings and a channel expansion assembly are arranged on the circumferential face of the rod body in a circumferential array mode; the rod tail adjusting and expanding button drives a supporting rod A and a supporting rod B of the channel expanding assembly to be linked through a core ring and a movable rod, so that an outer supporting plate expands the vagina or retracts and resets; the endoscope controller insertion rod can be inserted into the expansion adjusting button insertion hole, vaginal wall images are collected through the camera, visual observation is achieved, and meanwhile flushing fluid is conveyed through the water outlet. The dilation-observation-flushing integrated operation is achieved, the dilation amplitude can be flexibly adjusted according to the vagina size and the injury degree of a patient, the patient can use the dilator independently at home through simple guidance, and the dilator is suitable for nursing of vaginal wall injury after radiotherapy and postpartum / postoperative.

The utility model discloses a post-radiotherapy exercise structure for a head and neck tumor patient, and relates to the technical field of neck exercise structures. The fixing device comprises a supporting shell, the inner wall of the supporting shell is rotationally connected with a rotating shell, the fixing device further comprises an installation mechanism, then the two sliding shells slide to drive a fixing plate to slide on the inner wall of the supporting shell to increase the distance between the fixing plate and two connecting plates, the rotating range of the rotating shell can be adjusted and limited, and then the rotating range can be adjusted according to the requirement of a patient; then first rotary knobs are reversely rotated, the two first rotary knobs drive two first threaded rods to rotate and enter a cylindrical groove to limit the rotating area of a connecting plate and a rotating shell, rotation angle adjustment and limitation can be conducted through the operation, and the risk that a patient is injured due to excessive rotation in the exercise process can be reduced; meanwhile, the angle can be adjusted according to the specific requirements of the patients, and it is ensured that each patient can obtain a proper neck exercise angle.

Methods of predicting treatment benefit for reducing risk of recurrence for breast cancer is provided. In some embodiments, a method can include providing a breast tissue sample from a subject with invasive, hormone receptor (HR)-positive, HER2-negative breast cancer; analyzing the breast tissue sample for a biosignature comprising at least the biomarkers GLUT1 and Ki67 or at least the biomarkers PR and FOXA1, where the analyzed biosignature predicts the benefit from a breast cancer treatment with adjuvant therapy (e.g., radiotherapy followed by endocrine therapy) to reduce the risk of breast cancer recurrence in the subject. In some embodiments, the method includes administering the breast cancer treatment with adjuvant therapy to the subject.

The invention provides a tumor radiotherapy rehabilitation data monitoring method and system, and relates to the technical field of medical data analysis. The method comprises the following steps: after first review after tumor radiotherapy treatment, acquiring first review data, an image reference risk coefficient and tumor monitoring condition reference feature information; after second review after tumor radiotherapy treatment, obtaining second review data, an image comparison risk coefficient and tumor monitoring condition comparison feature information; and determining whether further examination is needed, and if so, determining the type of the further examination according to the tumor monitoring condition reference feature information and the tumor monitoring condition comparison feature information. According to the invention, after radiotherapy, the reference information and the comparison information can be respectively obtained after first reexamination and second reexamination, and whether further examination needs to be carried out is determined, so that the probability of missing detection is reduced, a proper examination scheme can be selected, and the possibility of extra injury to a patient or overhigh examination cost caused by excessive examination is reduced.