In order to improve the efficiency of protein spots detection, a fast detection method based on CUDA was proposed. Firstly, the parallel algorithms of the three most time-consuming parts in the protein spots detection algorithm: image preprocessing, coarse protein point detection and overlapping point segmentation were studied. Then, according to single instruction multiple threads executive model of CUDA to adopted data space strategy of separating two-dimensional (2D) images into blocks, various optimizing measures such as shared memory and 2D texture memory are adopted in this study. The results show that the operative efficiency of this method is obviously improved compared to CPU calculation. As the image size increased, this method makes more improvement in efficiency, such as for the image with the size of 2,048 x 2,048, the method of CPU needs 52,641 ms, but the GPU needs only 4,384 ms.
Algorithms ; Image Processing, Computer-Assisted ; Proteomics ; methods ; Software

There are no intuitive and unified standards for selecting features in existing protein gel image point matching method, for which an analysis method based on similarity map is proposed. Firstly, the definition and generation methods of similarity map were presented. Secondly, trait and merits of features such as coordinate similarity, shape-context similarity and morphology similarity were analyzed using similarity map method. Finally, comprehensive utilization of multi-features named product-method which has a better effect than mean-method was proposed based on the results. Many experiments using different 2-DE gel images were carried out to prove the validity of similarity map and product-method. The results showed that similarity map could be used for intuitional, effective analysis of matching performance and to guide the selection and comprehensive utilization of multi-features.

Objective To evaluate the value of PLT and its parameters combined with AFP, CA199, CA125 and CEA on the preoperative differential diagnosis of hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). Methods We analyzed retrospectively 274 patients with liver cancer who underwent surgery in the Second Hospital of Lanzhou University. They were divided into 229 cases in HCC group and 45 cases in ICC group according to postoperative pathological results. The differences of PLT, its parameters and tumor markers between the two groups were compared. ROC curve was used to evaluate the differential diagnosis effect on HCC and ICC by significantly different indicators in single and combined forms. The best scheme was verified in the patients with determined and undetermined preoperative diagnosis. Results Compared with HCC group, the levels of PLT, PCT, CA199 and CA125 in ICC group were higher (P < 0.05) and the level of AFP was lower (P < 0.05). The diagnostic analysis results of ROC curve showed that in single test, the AUC of AFP for HCC diagnosis was the largest (0.827). The AUC of the combined groups was higher than the single groups of tumor markers; the AUC of the PCT+AFP+CA199+CA125 group was the highest in all combination groups, and AUC was 0.891. The verification of the best combination group showed that the AUC was 0.924 in the preoperative determined diagnosis group and 0.854 in the undetermined diagnosis group. Conclusion Tumor markers in combination with PLT and PCT can increase the preoperative differential diagnosis efficacy of HCC and ICC. The combination of PCT, AFP, CA199 and CA125 before operation is helpful to further determine the diagnosis and plan the operation scheme.

Objective To report 1 case of iatrogenic botulinum poisoning misdiagnosed as myasthenia gravis,to discuss the clinical manifestation,distinguishing feature and prognosis of iatrogenic botulinum poisoning combined with literature.Methods We briefly introduced one patient with botulinum toxin poisoning misdiagnosed as myasthenia gravis.A 26-year old female was admitted in June 2017 in Gaochun People's Hospital of Nanjing,who received two injections of botulinum toxin 500 U for a short period of time due to cosmetic needs,then she suffered from fatigue,chest distress,eyelid ptosis and other symptoms.The patient was once misdiagnosed as myasthenia gravis,but the results of neostigmine test and repeated nerve stimulation examination were negative.After careful examination of the body (mandibular swelling) and repeated medical history requiring,the final diagnosis was clarified.After the treatment such as fluid infusion for 10 days,her discomforts were relieved.The literature was retrieved from "US National Library of Medicine National Institutes of Health (Pubmed) "," China National Knowledge Infrastructure (CNKI)" and "Wanfang Medicine Data China Information",a total of 17 articles were included in the analysis,including 30 effective cases.We analyzed the general characteristics,clinical manifestations and prognosis of botulinum toxin injection.Results Of the 30 cases,28 cases (96.7％) were female,2 cases (3.0％) were male,aged from 3 to 80 years old.Most of them were botulinum toxin type A,except 2 cases unknown.The clinical onset began from the injection day to 3 weeks after injection.The duration of the disease lasted from 10 days to 6 months.Most of the prognosis was good after treatment.Conclusion Careful attention should be paid to the serious reaction of botulinum toxin to ensure safe medication use.

As a collective noun of incense and medicine, fragrant medicine has long been integrated into Chinese culture. It is not only a symbol of the cultural exchange between China and foreign countries in the middle ancient times, but also plays a very important role in medicine and other fields. Among them, Borneol can not only be used for medicinal purposes, but also for incense and fumigation, as well as food, tea, wine and other applications. This paper intends to sort out the medicinal properties, effects and other applications of Borneol recorded in ancient books of traditional Chinese herbs in the past dynasties, focusing on summarizing its medicinal properties, meridians, effects, compatibility and application characteristics. In addition, modern pharmacological action was included as a supplement, in order to provide reference for the clinical use of Borneol in medicinal aspects.

Objective: To investigate the ultrasound-assisted extraction process of Pogostemon cablin. Methods: Taking the extraction time (min), ethanol concentration (％), and liquid-solid ratio (mL · g-1) as influence factors, patchouli alcohol (PA) content as index, single-factor test was applied to the investigation of extraction-process of Pogostemon cablin. By ultrasonic-assisted extraction, the GC-FID was used to determine the PA content in extract. Results: The optimal extraction conditions were as follows: the ultrasonic time was 30 min, the ethanol concentration was 95％, and liquid-solid ratio was 20∶1 mL·g-1. Under this condition, the extraction rate and the content of PA were 32.75％, and0.15％ respectively. Conclusion: This extraction method is simple, but has higher extraction rate. It is suitable for the industrial production.

Objective: To explore the correlation between BMI and gut microbiota of college students in Inner Mongolia,and to provide a reference basis for revealing the relationship between intestinal flora and obesity. Methods: Totally 88 college students from Inner Mongolia Medical University were enrolled, Height and weight were measured,and the feces samples were collected. The bacterial metagenome was extracted from dry feces samples for the concentration detection in per gram of dry feces,expressed as μg/μL. Correlation between BMI and metagenomics concentration of gut microbiota was statistically analyzed. Meanwhile,the metagenomics concentration of gut microbiota in different BMI groups was compared with each other. Results: There was a negative correlation between BMI and the metagenomics concentration of gut microbiota(r=-0.27,P<0.05). Significant difference in the concentration of gut microflora was observed between the normal group and the obesity group,the normal group and the overweight/obesity group(F=3.62,P<0.05). Among the female volunteers,there were significant differences between normal group and overweight group,between normal group and obesity group(F=1.87,P<0.05). No significant differences in metagenomics concentration of gut microbiota were found in different BMI groups(F=0.60, P>0.05). Conclusion There is a correlation between BMI and gut microbiota of college students in Inner Mongolia，the concentration of gut microflora metagenome in overweight and obese people decreased significantly.

Objective:To investigate the value of nomogram based on intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) and MRI-derived radiomics for predicting recurrence after concurrent chemoradiotherapy (CCRT) in patients with locally advanced cervical cancer (LACC).Methods:Clinical data of 111 patients with ⅠB-ⅣA cervical cancer who underwent CCRT at Anhui Provincial Hospital from December 2014 to December 2019 and were continuously followed up were retrospectively analyzed. Pre-treatment IVIM-DWI parameters (ADC, D, D * and f) and pre- and post-treatment 3D texture parameters (from axial T 2WI) of the primary lesions were measured. Least absolute shrinkage and selection operator (LASSO) algorithm and multivariate logistic regression analysis were used to filter texture features and calculate radiomics score (Rad-score). A Cox regression model was used to analyze independent risk factors for recurrence after CCRT in patients with LACC and construct a nomogram. Results:External beam radiotherapy dose, f value , pre-treatment Rad-score and post-treatment Rad-score ( HR=0.204, 3.253, 2.544, 7.576) were the independent prognostic factors for recurrence after CCRT in cervical cancer patients and jointly formed the nomogram. The area under curve (AUC) of the nomogram for predicting 1-, 3- and 5-year disease-free survival (DFS) was 0.895, 0.888 and 0.916, with internal validation C-indexes of 0.859, 0.903 and 0.867, respectively. The decision curves analysis showed that the nomogram has a higher net clinical benefit compared to other models, and the clinical impact curves further visualized its predictive accuracy. Conclusions:The nomogam based on IVIM-DWI and radiomics has high clinical value in predicting recurrence after CCRT in patients with LACC, providing reference for prognostic assessment and individualized treatment of cervical cancer patients.

Objective:To investigate the value of nomograms based on clinical parameters, apparent diffusion coefficient (ADC) and MRI-derived radiomics in predicting survival of patients with locally advanced cervical cancer (LACC) after concurrent chemoradiotherapy (CCRT).Methods:Clinical data of 423 patients with IB-IVA cervical cancer treated with CCRT at Anhui Provincial Hospital Affiliated to Anhui Medical University from March 2014 to March 2020 were retrospectively analyzed and randomly divided into the training and validation groups at a ratio of 2∶1 using the simple randomization method. The values of ADC min, ADC mean, ADC max and 3D texture parameters of diffusion weighted imaging (DWI), T 2WI, T 2WI-fat suppression of pre-treatment primary lesions in all patients were measured. The least absolute shrinkage and selection operator (LASSO) algorithm and logistic regression analysis were used to screen the texture features and calculate radiomics score (Rad-score). Cox regression analysis was employed to construct nomogram models for predicting overall survival (OS) and cancer-specific survival (CS) of patients with LACC after CCRT, which were subject to internal and external validation. Results:Squamous cell carcinoma antigen (SCC-Ag), external beam radiotherapy dose, ADCmin and Rad-score were the independent prognostic factors for OS and CS of LACC patients after CCRT and constituted predictive models for OS and CS. The area under the receiver operating characteristic (ROC) curve (AUC) of two models in predicting 1-year, 3-year, 5-year OS and CS was 0.906, 0.917, 0.916 and 0.911, 0.918, 0.920, with internally validated consistency indexes (C-indexes) of 0.897 and 0.900. Then, models were brought into the validation group for external validation with AUC of 0.986, 0.942, 0.932 and 0.986, 0.933, 0.926 in predicting 1-year, 3-year, 5-year OS and CS.Conclusion:The nomograms based on clinical parameters, ADC values and MRI-derived radiomics are of high clinical value in predicting OS and CS of patients with LACC after CCRT, which can be used as prognostic markers for patients with cervical cancer to certain extent.

Objective:To investigate the value of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) parameters combined with T 2WI texture analysis of primary lesions of rectal adenocarcinoma in preoperative prediction of lymph node metastasis with short diameter ≤9 mm. Methods:Retrospective analysis was performed on 115 cases of rectal adenocarcinoma confirmed by surgical pathology in Affiliated Provincial Hospital of Anhui Medical University from June 2015 to October 2020. All patients underwent total mesorectal resection and received conventional rectal MRI and IVIM-DWI scan before surgery. According to the pathological results of lymph node, the patients were divided into lymph node metastatic group ( n=44) and non-metastatic group ( n=71). IVIM-DWI parameters of primary rectal adenocarcinoma were measured including apparent diffusion coefficient (ADC), diffusion coefficient (D), pseudo diffusion coefficient (D *) and perfusion fraction (f). The region of interest (ROI) of the whole lesion of rectal adenocarcinoma was delineated on axial T 2WI; then the ROIs were imported into GE Analysis Kit software to extract 3D texture feature. The differences of IVIM-DWI parameters and texture feature parameters were compared between two groups using independent sample t test or Mann-Whitney U test. The optimal texture feature parameters with independent predictive function were screened by multivariate logistic regression. Then the texture feature model and combined model based IVIM-DWI and texture feature parameters were established. The receiver operating characteristic (ROC) curves were used to evaluate the performances of IVIM-DWI, texture feature parameters, texture feature model and combined model in predicting lymph node metastasis in patients with rectal adenocarcinoma. The area under the ROC curve (AUC) were compared with DeLong test. Results:Among all the IVIM-DWI parameters, the D * and f values of primary rectal adenocarcinoma were significantly different between the lymph node metastasis group and the non-lymph node metastasis group ( Z=3.39, P=0.001, Z=-3.06, P=0.002); no statistical significance was found in the ADC and D values between two groups (both P>0.05). A total of 828 texture feature parameters were obtained based on T 2WI of primary lesion of rectal adenocarcinoma, among which 3 optimal texture feature parameters were selected, including firstorder_Skewness, shape_Sphericity and glcm_Idn. The ROC curve results showed that the AUC of D * and f were 0.689 and 0.670, respectively. The AUC of 3 texture feature parameters were 0.651, 0.628, 0.631, respectively. The AUC of texture feature model and the combined model were 0.775 and 0.803. The AUC of combined model was larger than D *, f and the three texture feature parameters (all P<0.05). Conclusion:IVIM-DWI parameters combined with T 2WI texture feature parameters in primary lesion of rectal adenocarcinoma show good diagnostic efficacy in preoperative prediction of lymph node metastasis with short diameter≤9 mm.