Hypoxia is a common phenomenon in solid tumors. Resistance of hypoxic tumor cells to radiation is a significant reason of failure in the local control of tumors. The growth and metastasis of solid tumors rely on blood vessels. Antiangiogenic agents mainly target tumor blood vessels, and radiation therapy mainly targets tumor cells. Combination of antiangiogenic treatment and radiation exhibits synergistic effect, which improves the response of tumors to radiation therapy. The mechanisms of interaction between antiangiogenic agents and ionizing radiation are complex and involve interactions between tumor cells and tumor microenvironment, including tumor oxygenation, stroma, and vasculature. The original mechanism of antiangiogenesis is to induce ischemia and hypoxia in tumors, thereby, "starve" the tumors. However, recently, emerging data suggest that antiangiogenic agents could reduce the proportion of hypoxic cells through normalizing tumor vasculature, decreasing oxygen consumption, and other mechanisms. The use of antiangiogenic agents provides a new approach to overcome the hypoxia problem, and ultimately improves the efficacy of radiation therapy. In this review, we discuss tumor hypoxia, tumor angiogenesis and its regulation, mechanisms of antiangiogenic therapy combined with radiation therapy, and how antiangiogenic therapy overcomes tumor hypoxia.
Angiogenesis Inhibitors ; pharmacology ; therapeutic use ; Animals ; Antibodies, Monoclonal ; pharmacology ; therapeutic use ; Antibodies, Monoclonal, Humanized ; pharmacology ; therapeutic use ; Apoptosis ; drug effects ; Bevacizumab ; Cell Hypoxia ; drug effects ; Combined Modality Therapy ; Endostatins ; pharmacology ; therapeutic use ; Humans ; Neoplasms ; blood supply ; drug therapy ; metabolism ; radiotherapy ; Neovascularization, Pathologic ; drug therapy ; Oxygen Consumption ; drug effects ; radiation effects

The judgment of the type of arrhythmia is the key to the prevention and diagnosis of early cardiovascular disease. Therefore, electrocardiogram (ECG) analysis has been widely used as an important basis for doctors to diagnose. However, due to the large differences in ECG signal morphology among different patients and the unbalanced distribution of categories, the existing automatic detection algorithms for arrhythmias have certain difficulties in the identification process. This paper designs a variable scale fusion network model for automatic recognition of heart rhythm types. In this study, a variable-scale fusion network model was proposed for automatic identification of heart rhythm types. The improved ECG generation network (EGAN) module was used to solve the imbalance of ECG data, and the ECG signal was reproduced in two dimensions in the form of gray recurrence plot (GRP) and spectrogram. Combined with the branching structure of the model, the automatic classification of variable-length heart beats was realized. The results of the study were verified by the Massachusetts institute of technology and Beth Israel hospital (MIT-BIH) arrhythmia database, which distinguished eight heart rhythm types. The average accuracy rate reached 99.36%, and the sensitivity and specificity were 96.11% and 99.84%, respectively. In conclusion, it is expected that this method can be used for clinical auxiliary diagnosis and smart wearable devices in the future.
Algorithms ; Arrhythmias, Cardiac/diagnosis* ; Databases, Factual ; Electrocardiography/methods* ; Heart Rate ; Humans

BACKGROUNDTo detect the micrometastases status in peripheral blood and regional lymph nodes of lung cancer patients by reverse transcription-polymerase chain reaction (RT-PCR).

METHODSCK19 mRNA expression in peripheral blood and regional lymph nodes was detected in 78 patients with lung cancer, and 30 patients with pulmonary benign lesions and 10 healthy volunteers as controls by RT-PCR. Meanwhile, all lymph nodes were also examined by traditional pathological method.

RESULTSThe positive rate of CK19 mRNA expression was 38.5% in peripheral blood of lung cancer patients, and 6.7% in patients with pulmonary benign lesions (6.7%) (Chi-square=10.505,P=0.001). No positive CK19 mRNA expression was found in peripheral blood of 10 healthy volunteers. The positive rates of CK19 mRNA of lymph nodes were 36.9% and 0 in lung cancer patients and pulmonary benign disease patients respectively (Fisher's exact=0.014). In lung cancer group, the metastatic rate of lymph nodes was 17.9% by traditional pathological examination, which was much lower than that by RT-PCR (Chi-square=7.664, P=0.006).

CONCLUSIONSRT-PCR amplification of CK19 mRNA is an sensitive method to detect early haematogenous and regional lymph nodes dissemination of cancer cells for patients with lung cancer. This method may lead to an earlier diagnosis and treatment of patients with subclinical metastasis in circulation and regional lymph nodes.

Objective To explore the risk factors and countermeasures of the perfusionist-related near-miss event (NME) in cardiopulmonary bypass (CPB). Methods The clinical data of the patients who underwent cardiac surgery in the Department of Cardiovascular Surgery, Nanfang Hospital, Southern Medical University from March 2020 to July 2021 were retrospectively analyzed. According to whether NME occurred during the operation, the patients were divided into an NME group and a non-NME group. The clinical data of the two groups were compared, and the risk factors for NME were analyzed. Results A total of 702 patients were enrolled, including 424 males and 278 females with a median age of 56.0 years. There were 125 patients in the NME group and 577 patients in the non-NME group. The occurrence rate of NME was 17.81%. Univariate analysis showed that there were statistical differences between the two groups in the gender, body surface area, CPB time, European system for cardiac operative risk evaluation score, emergency surgery, type of surgery, night CPB initiation, modified ultrafiltration use, multi-device control, average operation time, et al. (all P<0.05). The above variables were dimensionality reduction processed by least absolute shrinkage and selection operator regression, and the λ of minimum mean square error of 10-fold cross validation was 0.014. The variables of the corresponding model were selected as follows: multi-device control, night CPB initiation, minimum hematocrit, modified ultrafiltration use, CPB time. The results of multivariate logistic regression showed that night CPB initiation [OR=9.658, 95%CI (4.735. 19.701), P<0.01] and CPB time [OR=1.003, 95%CI (1.001, 1.006), P=0.014] were independent risk factors for NME. Conclusion Night CPB initiation and CPB time are independent risk factors for NME during CPB, which should be recognized and early warned in clinical work.

OBJECTIVE: To investigate the value of CT-based radiomics and clinical data in predicting the efficacy of non-vascularized bone grafting (NVBG) in hip preservation, and to construct a visual, quantifiable, and effective method for decision-making of hip preservation. METHODS: Between June 2009 and June 2019, 153 patients (182 hips) with osteonecrosis of the femoral head (ONFH) who underwent NVBG for hip preservation were included, and the training and testing sets were divided in a 7∶3 ratio to define hip preservation success or failure according to the 3-year postoperative follow-up. The radiomic features of the region of interest in the CT images were extracted, and the radiomics-scores were calculated by the linear weighting and coefficients of the radiomic features after dimensionality reduction. The clinical predictors were screened using univariate and multivariate Cox regression analysis. The radiomics model, clinical model, and clinical-radiomics (C-R) model were constructed respectively. Their predictive performance for the efficacy of hip preservation was compared in the training and testing sets, with evaluation indexes including area under the curve, C-Index, sensitivity, specificity, and calibration curve, etc. The best model was visualised using nomogram, and its clinical utility was assessed by decision curves. RESULTS: At the 3-year postoperative follow-up, the cumulative survival rate of hip preservation was 70.33%. Continued exposure to risk factors postoperative and Japanese Investigation Committee (JIC) staging were clinical predictors of the efficacy of hip preservation, and 13 radiomic features derived from least absolute shrinkage and selection operator downscaling were used to calculate Rad-scores. The C-R model outperformed both the clinical and radiomics models in predicting the efficacy of hip preservation 1, 2, 3 years postoperative in both the training and testing sets ( P<0.05), with good agreement between the predicted and observed values. A nomogram constructed based on the C-R model showed that patients with lower Rad-scores, no further postoperative exposure to risk factors, and B or C1 types of JIC staging had a higher probability of femoral survival at 1, 2, 3 years postoperatively. The decision curve analysis showed that the C-R model had a higher total net benefit than both the clinical and radiomics models with a single predictor, and it could bring more net benefit to patients within a larger probability threshold. CONCLUSION The prediction model and nomogram constructed by CT-based radiomics combined with clinical data is a visual, quantifiable, and effective method for decision-making of hip preservation, which can predict the efficacy of NVBG before surgery and has a high value of clinical application.
Humans ; Bone Transplantation ; Femur Head/surgery* ; Femur ; Osteonecrosis ; Tomography, X-Ray Computed ; Retrospective Studies

Mitral regurgitation is the most common heart valvular disease at present. In the past, mitral regurgitation was mainly treated by surgical mitral valve repair or replacement. However, with the progress of transcatheter interventional techniques and instruments in recent years, transcatheter mitral valve interventional therapy has gradually shown its advantages and benefited patients. The purpose of this article is to review the progress of transcatheter mitral valve intervention in this year, and to provide prospects for the future of transcatheter mitral valve treatment.

OBJECTIVETo analyze the rare alleles of D13S325 locus which fell in the size range of D12S391 locus with the STRtyper-10G kit.

METHODSGenotyping results of cases with suspected rare alleles of D13S325 were verified with Sinofiler(TM) kit and a singleplex amplification system. The rare alleles were separated and sequenced.

RESULTSFive families were detected with rare alleles of the D13S325 locus, which were misread as allele 20 of D12S391 locus. The alleles were named as 5.1 based on DNA sequences and have a frequency of 0.156 × 10(-2).

CONCLUSIONAs the rare allele 5.1 of D13S325 locus with the STRtyper-10G kit is prone to be mistyped, attention should be paid in the paternity testing, personal identification and DNA database search.

Animals ; Caenorhabditis elegans ; metabolism ; radiation effects ; Caenorhabditis elegans Proteins ; genetics ; metabolism ; Light ; Lysine ; analogs & derivatives ; genetics ; metabolism ; Promoter Regions, Genetic ; Protein Transport ; RNA, Transfer ; genetics ; metabolism ; Tumor Necrosis Factor Ligand Superfamily Member 14 ; metabolism

OBJECTIVE: To evaluate effectiveness of proximal femur bionic nail (PFBN) in treatment of intertrochanteric fractures in the elderly compared to the proximal femoral nail antirotation (PFNA). METHODS: A retrospective analysis was made on 48 geriatric patients with intertrochanteric fractures, who met the selection criteria and were admitted between January 2020 and December 2022. Among them, 24 cases were treated with PFBN fixation after fracture reduction (PFBN group), and 24 cases were treated with PFNA fixation (PFNA group). There was no significant difference in baseline data such as age, gender, cause of injury, side and type of fracture, time from injury to operation, and preoperative mobility score, American Society of Anesthesiologists (ASA) score, Alzheimer's disease degree scoring, self-care ability score, osteoporosis degree (T value), and combined medical diseases between the two groups ( P>0.05). The operation time, intraoperative blood loss, number of blood transfusions, transfusion volume, length of hospital stay, occurrence of complications, weight-bearing time after operation, and postoperative visual analogue scale (VAS) score, walking ability score, mobility score, self-care ability score were recorded and compared between the two groups. And the radiographic assessment of fracture reduction quality and postoperative stability, and fracture healing time were recorded. RESULTS: The operations in both groups were successfully completed. All patients were followed up 6-15 months with an average time of 9.8 months in PFBN group and 9.6 months in PFNA group. The operation time was significantly longer in PFBN group than in PFNA group ( P<0.05), but there was no significant difference in intraoperative blood loss, number of blood transfusions, transfusion volume, length of hospital stay, change in activity ability score, and change in self-care ability score between the two groups ( P>0.05). The weight-bearing time after operation was significantly shorter in PFBN group than in PFNA group ( P<0.05), and the postoperative VAS score and walking ability score were significantly better in PFBN group than in PFNA group ( P<0.05). Radiographic assessment showed no significant difference in fracture reduction scores and postoperative stability scores between the two groups ( P>0.05). All fractures healed and there was no significant difference in fracture healing time between the two groups ( P>0.05). The incidence of complications was significantly lower in PFBN group (16.7%, 4/24) than in PFNA group (45.8%, 11/24) ( P<0.05). CONCLUSION Compared with PFNA, PFBN in the treatment of elderly intertrochanteric fractures can effectively relieve postoperative pain, shorten bed time, reduce the risk of complications, and facilitate the recovery of patients' hip joint function and walking ability.
Humans ; Aged ; Retrospective Studies ; Fracture Fixation, Intramedullary ; Bionics ; Blood Loss, Surgical ; Treatment Outcome ; Bone Nails ; Hip Fractures/surgery* ; Femur

The automatic recognition technology of muscle fatigue has widespread application in the field of kinesiology and rehabilitation medicine. In this paper, we used surface electromyography (sEMG) to study the recognition of leg muscle fatigue during circuit resistance training. The purpose of this study was to solve the problem that the sEMG signals have a lot of noise interference and the recognition accuracy of the existing muscle fatigue recognition model is not high enough. First, we proposed an improved wavelet threshold function denoising algorithm to denoise the sEMG signal. Then, we build a muscle fatigue state recognition model based on long short-term memory (LSTM), and used the Holdout method to evaluate the performance of the model. Finally, the denoising effect of the improved wavelet threshold function denoising method proposed in this paper was compared with the denoising effect of the traditional wavelet threshold denoising method. We compared the performance of the proposed muscle fatigue recognition model with that of particle swarm optimization support vector machine (PSO-SVM) and convolutional neural network (CNN). The results showed that the new wavelet threshold function had better denoising performance than hard and soft threshold functions. The accuracy of LSTM network model in identifying muscle fatigue was 4.89% and 2.47% higher than that of PSO-SVM and CNN, respectively. The sEMG signal denoising method and muscle fatigue recognition model proposed in this paper have important implications for monitoring muscle fatigue during rehabilitation training and exercise.
Electromyography ; Memory, Short-Term ; Muscle Fatigue ; Neural Networks, Computer ; Recognition, Psychology