Chromatin three-dimensional genome structure plays a key role in cell function and gene regulation. Single-cell Hi-C techniques can capture genomic structure information at the cellular level, which provides an opportunity to study changes in genomic structure between different cell types. Recently, some excellent computational methods have been developed for single-cell Hi-C data analysis. In this paper, the available methods for single-cell Hi-C data analysis were first reviewed, including preprocessing of single-cell Hi-C data, multi-scale structure recognition based on single-cell Hi-C data, bulk-like Hi-C contact matrix generation based on single-cell Hi-C data sets, pseudo-time series analysis, and cell classification. Then the application of single-cell Hi-C data in cell differentiation and structural variation was described. Finally, the future development direction of single-cell Hi-C data analysis was also prospected.
ObjectiveTo investigate the quality of life (QoL) of patients with differentiated thyroid cancer (DTC) after surgery and analyze its relevant influencing factors. MethodsThe patients with DTC who underwent surgical resection in the First Affiliated Hospital of Zhengzhou University from December 1, 2021 to October 1, 2023 were investigated through the postoperative follow-up platform and follow-up management group. The postoperative QoL of DTC patients were evaluate using the Chinese version of the Thyroid Cancer Specific Quality of Life Questionnaire (THYCA-QoL) specific scale and the Chinese version of the European Organization for Research and Treatment of Cancer (EORTC) developed a quality of life questionnaire consisting of 30 items (QLQ-C30). The higher overall average score of THYCA-QoL scale, the more clinical symptoms of patients, namely the negative QoL. The higher the EORTC QLQ-C30 overall health status score, the better QoL. In addition, multiple linear regression was used to explore the risk factors affecting the postoperative specific QoL score of DTC patients. ResultsA total of 1 076 patients’ questionnaires were collected. The EORTC QLQ-C30 overall health status score of 1 076 patients was 67±22 and the THYCA-QoL overall score was 22±13. The results of multivariate linear regression analysis showed that the early postoperative period (<6 months), male, age, without postoperative lifetime medication and without postoperative iodine-131 radiotherapy had negative effects on the overall score of THYCA-QoL scale (P<0.05), meanwhile the early postoperative period (<6 months) or later (≥12 months), without postoperative lifetime medication and without postoperative iodine-131 radiotherapy had positive effects on the overall health status score of EORTC QLQ-C30 (P<0.05). ConclusionsEORTC QLQ-C30 combined with THYCA-QoL can evaluate not only the common symptoms of cancer, but also the specific symptoms of thyroid cancer after surgery. And understanding the factors affecting the QoL of patients with thyroid cancer after surgery could provide targeted and supportive treatment and nursing for discharged patients to improve the QoL of patients with thyroid cancer after surgery.
Objective To study the factors that affect the prognosis of status epilepticus (SE) and to improve the understanding of clinicians. Methods A retrospective analysis of 57 patients with SE witch from the General Hospital of Ningxia Medical University and Cardio-cerebrovascular Disease Hospital were carried out to collect their clinical data. The data were analyzed by SPSS 17.0 software. The prognosis of the patients was assessed by the Status epilepticus severity score (STESS) scale. Results A total of 57 patients were included, 53 cases improved, 4 cases were automatically discharged. Telephone follow-up showed that 4 cases of automatic discharge were dead. The mortality rate of SE was 7.02%. The most common cause of SE was acute cerebrovascular disease (17.54%), followed by intracranial infection (10.53%); The most common incidence were the occasional medication, self-medication, withdrawal (15.79%). Age, state of consciousness and concurrent infection were associated with prognosis (improvement/death) (P<0.05). STESS score of 0 to 2 points were 45 patients, all improved; score of 3 to 5 points were 12 patients, 8 patients improved, 4 patients died. There were significant differences in the prognosis between the two groups (P<0.05). Conclusions Age, state of consciousness, concurrent infection were related to prognosis, more than 65 years, the state of consciousness for the sleeping or coma had the poor prognosis. STESS scale can predict the prognosis of patients effectively.
Non-rigid registration plays an important role in medical image analysis. U-Net has been proven to be a hot research topic in medical image analysis and is widely used in medical image registration. However, existing registration models based on U-Net and its variants lack sufficient learning ability when dealing with complex deformations, and do not fully utilize multi-scale contextual information, resulting insufficient registration accuracy. To address this issue, a non-rigid registration algorithm for X-ray images based on deformable convolution and multi-scale feature focusing module was proposed. First, it used residual deformable convolution to replace the standard convolution of the original U-Net to enhance the expression ability of registration network for image geometric deformations. Then, stride convolution was used to replace the pooling operation of the downsampling operation to alleviate feature loss caused by continuous pooling. In addition, a multi-scale feature focusing module was introduced to the bridging layer in the encoding and decoding structure to improve the network model’s ability of integrating global contextual information. Theoretical analysis and experimental results both showed that the proposed registration algorithm could focus on multi-scale contextual information, handle medical images with complex deformations, and improve the registration accuracy. It is suitable for non-rigid registration of chest X-ray images.
Objective To evaluate the subjective outcomes of sleepiness behavior and mood status applying continuous positive airway pressure（CPAP） in adults of elderly and middle-aged with obstructive sleep apnea syndrome（OSAS）. Methods Nine randomized controlled trails comparing nocturnal CPAP with inactive control appliances in adults with OSAS with the use of computerized search in related medical databases（MEDLINE，EMBASE，CBMdisk，etc） were included.The quality of literature was reviewed，and all data were extracted by two reviewers independently.Meta analysis was conducted used RevMan 4.2 software.Results 9 RCT involving 665 patients of elderly and middle-aged met the inclusion criteria.Meta analysis indicated that the score of Epworth sleepiness scale（ESS） and general health questionnaire-28（GHQ-28） declined significantly after CPAP treatment on effectiveness with WMD（random） －2.94，95 %CI －4.68 to －1.20，or WMD（fixed） －2.26，95 %CI －3.79 to －0.72，Plt;0.01.Nevertheless，hospital anxiety and depression scale（HADS） was not significantly different between CPAP and control with WMD（random） －0.89，95%CI －1.98 to 0.20，Pgt;0.05.Conclusion Current clinical evidence suggested that CPAP was effective in improving day-time subjective outcomes of sleepiness behavior and general mental health status in OSAS patients of elderly and middle-aged，although evidence of improving emotion disorder of anxiety and depression was not confirmed.
Objective To study the characteristics of pulmonary impact injury under closure and open states of glottis. Methods One hundred and eight rabbits were randomly divided into two groups (54 each group). Open state of glottis group(open group): impact injuries with opened glottis; closure state of glottis group (closed group): impact injuries with closed glottis. Parameters were set up with various combinations of driven pressures and compress percentage and the model of rabbit blunt chest trauma were established. Pathological changes were examined and abbreviated injury scale (AIS), water containing and mortality were recorded. Results Two and four rabbits died in open group and closed group respectively under the condition of 30% for compress percentage and 8 250 mmHg for driven pressures. In most cases, AIS values of closed group were significantly higher than that of open group (Plt;0.05). AIS values were positively related to driven pressures and compress percentage (r=0.9313, 0.7847; Plt;0.01, 0.01). Quantities of contained water in lung of closed group were significantly higher than that of open group(t=2.28,Plt;0.01). Conclusion The severity of injury, the increased mortality and earlier occurrence of traumatic acute lung injury were the characteristics of pulmonary impact injury under the closure states of glottis.
To aim directly at the individualized character and tendency about clinical assessment of Traditional Chinese Medicine (TCM), we draw off a new pathway which is evidence-based goal attainment scale(EBGAS) in the text. i.e., we will develop clinical individualized assessment method of TCM on account of GAS by the approach of evidence based medicine.
Objective To observe the serumlevel of neuron-specific enolase( NSE) in patients with pulmonary encephalopathy and its changes after treatment with mechanical ventilation. Methods Twentyone patients with pulmonary encephalopathy were enrolled. Glasgow coma scale( GCS) , serumNSE level, and arterial blood gas were evaluated at three time-points: before mechanical ventilation, after 12 hours mechanical ventilation, and the moment of consciousness. Results 18 patients recovered consciousness, and 3 patients remained in persistent coma and died. GCS and arterial blood gas improved obviously after 12 hours mechanical ventilation. Meanwhile, the serumNSE concentration decreased significantly after 12 hours mechanical ventilation [ ( 24. 54 ±6. 65) μg/L] and at the moment of consciousness [ ( 14. 19 ±2. 91) μg/L] compared with before mechanical ventilation( P lt; 0. 05, P lt; 0. 01) . Conclusion Dynamic measurment of serumNSE may be a useful biomarker for assessing the severity of cerebral injury and predicting prognosis.
[Abstract]Automatic and accurate segmentation of lung parenchyma is essential for assisted diagnosis of lung cancer. In recent years, researchers in the field of deep learning have proposed a number of improved lung parenchyma segmentation methods based on U-Net. However, the existing segmentation methods ignore the complementary fusion of semantic information in the feature map between different layers and fail to distinguish the importance of different spaces and channels in the feature map. To solve this problem, this paper proposes the double scale parallel attention (DSPA) network (DSPA-Net) architecture, and introduces the DSPA module and the atrous spatial pyramid pooling (ASPP) module in the “encoder-decoder” structure. Among them, the DSPA module aggregates the semantic information of feature maps of different levels while obtaining accurate space and channel information of feature map with the help of cooperative attention (CA). The ASPP module uses multiple parallel convolution kernels with different void rates to obtain feature maps containing multi-scale information under different receptive fields. The two modules address multi-scale information processing in feature maps of different levels and in feature maps of the same level, respectively. We conducted experimental verification on the Kaggle competition dataset. The experimental results prove that the network architecture has obvious advantages compared with the current mainstream segmentation network. The values of dice similarity coefficient (DSC) and intersection on union (IoU) reached 0.972 ± 0.002 and 0.945 ± 0.004, respectively. This paper achieves automatic and accurate segmentation of lung parenchyma and provides a reference for the application of attentional mechanisms and multi-scale information in the field of lung parenchyma segmentation.
Objective To evaluate proton MR spectroscopy (1H-MRS) for detection of the motor cortex and adjacent brain in amyotrophic lateralsclerosis (ALS) patients with apparent upper motor neuron involvement after olfactory ensheathing cells(OECs) transplantation. Methods From December 2004 to February 2005, 7 patients with clinically definite ALS who could safely undergo MRS were admitted into the perspective study. The neurological status, ALS functional rating scale (ALSFRS), EMG, and 1H-MRS taken before and 2 weeks after operationswere carefully analyzed. The NAA/Cr and Cho/Cr ratios were measured in the cerebral peduncle,genu and posterior limb of the internal capsule, corona radiata and precentral gyrus. Results The ALSFRS in 2 cases mproved obviously whose ALSFRS increased from 30 to 33 and from 29 to 34 respectively. And 5 cases remained stable 2 weeks after OECs transplantation. Statistical analyses for all seven cases showed both theNAA/Cr and Cho/Cr ratios decreased, but in the two cases with ALSFRS improvement the NAA/Cr increased in the certain anatomic position which confirmed the neurological and EMG findings. Conclusion The proton MR spectroscopy is a suitablenoninvasive measure for ALS evaluation. The preliminary study suggests that twoof the seven ALS cases improved apparently shortterm after OECs transplantation. More patients are required for the clinical study and longer followup duration is needed for future research.
