Clinical significance of the deep learning algorithm based on contrast-enhanced CT in the differential diagnosis of gastric gastrointestinal stromal tumors with a diameter ≤ 5 cm / 中华胃肠外科杂志

Objective: Contrast-enhanced CT is an important method of preoperative diagnosis and evaluation for the malignant potential of gastric submucosal tumor (SMT). It has a high diagnostic accuracy rate in differentiating gastric gastrointestinal stromal tumor (GIST) with a diameter greater than 5 cm from gastric benign SMT. This study aimed to use deep learning algorithms to establish a diagnosis model (GISTNet) based on contrast-enhanced CT and evaluate its diagnostic value in distinguishing gastric GIST with a diameter ≤ 5 cm and other gastric SMT before surgery. Methods: A diagnostic test study was carried out. Clinicopathological data of 181 patients undergoing resection with postoperative pathological diagnosis of gastric SMT with a diameter ≤ 5 cm at Department of Gastrointestinal Surgery of Renji Hospital from September 2016 to April 2021 were retrospectively collected. After excluding 13 patients without preoperative CT or with poor CT imaging quality, a total of 168 patients were enrolled in this study, of whom, 107 were GIST while 61 were benign SMT (non-GIST), including 27 leiomyomas, 24 schwannomas, 6 heterotopic pancreas and 4 lipomas. Inclusion criteria were as follows: (1) gastric SMT was diagnosed by contrast-enhanced CT before surgery; (2) preoperative gastroscopic examination and biopsy showed no abnormal cells; (3) complete clinical and pathological data. Exclusion criteria were as follows: (1) patients received anti-tumor therapy before surgery; (2) without preoperative CT or with poor CT imaging quality due to any reason; (3) except GIST, other gastric malignant tumors were pathologically diagnosed after surgery. Based on the hold-out method, 148 patients were randomly selected as the training set and 20 patients as the test set of the GISTNet diagnosis model. After the GISTNet model was established, 5 indicators were used for evaluation in the test set, including sensitivity, specificity, positive predictive value, negative predictive value and the area under the receiver operating curve (AUC). Then GISTNet diagnosis model was compared with the GIST-risk scoring model based on traditional CT features. Besides, in order to compare the accuracy of the GISTNet diagnosis model and the imaging doctors in the diagnosis of gastric SMT imaging, 3 radiologists with 3, 9 and 19 years of work experience, respectively, blinded to clinical and pathological information, tested and judged the samples. The accuracy rate between the three doctors and the GISTNet model was compared. Results: The GISTNet model yielded an AUC of 0.900 (95% CI: 0.827-0.973) in the test set. When the threshold value was 0.345, the sensitivity specificity, positive and negative predictive values of the GISTNet diagnosis model was 100%, 67%, 75% and 100%, respectively. The accuracy rate of the GISTNet diagnosis model was better than that of the GIST-risk model and the manual readings from two radiologists with 3 years and 9 years of work experience (83% vs. 75%, 60%, 65%), and was close to the manual reading of the radiologist with 19 years of work experience (83% vs. 80%). Conclusion: The deep learning algorithm based on contrast-enhanced CT has favorable and reliable diagnostic accuracy in distinguishing gastric GIST with a diameter ≤ 5 cm and other gastric SMT before operation.

Endodontic-periodontal combined therapy for type Ⅲ dens invaginatus in maxillary lateral incisor: a case report / 华西口腔医学杂志

We report a clinical case of type Ⅲ dens invaginatus with endodontic-periodontal lesion in a maxillary lateral incisor. The palatal radicular anomaly predisposed the tooth to periodontal lesions. The caries along the palatal groove caused tooth pulp necrosis and periapical lesions. By means of microscopic root canal therapy, apical surgery, and guided periodontal tissue regeneration, the apical and periodontal infection were controlled, and the affected tooth was retained.

Evaluation by damped least-square algorithm on target identification ability of intracranial focal bidirectional electrical impedance perturbation / 医疗卫生装备

Objective To evaluate the effect of damped least-square algorithm on the identification of focal bidirectional electrical impedance perturbation in the intracranial area, and to analyze the influence of this kind of perturbation on the reconstruction quality of electrical impedance tomography. Methods Focal bidirectional electrical impedance perturbation was built based on the three-dimensional model and damped least-square algorithm was introduced into imaging. The position error and resolution were used to evaluate the imaging performance.Results When the focal electrical impedance perturbation existed,the target whose conductivity varied greatly or volume was large was more likely to be identified in the images while the target with smaller volume or variable conductivity presented in the reconstruction image was not obvious. It's pointed out that it may cause reconstruction images in some cases could not truly reflect the location and change information of the object of primary cerebral hemorrhage.At the same time,it affected the reconstruction precision,causing the position error and resolution with large fluctuation. Conclusion In reconstruction algorithm linearity correct matrix introduced for bidirectional electrical impedance perturbation contributes to enhancing the recognition of bidirectional perturbation, so that the characterization of the electrical impedance imaging can be augmented for clinical intracerebral hemorrhage.

Preliminary study of determination of Shougong in Jinlong Capsules based on fluorescence quantitative PCR method / 中国中药杂志

A pair of species-specific primer (GZG1/GZG2) based on COⅠ sequence regions for identification of Gekko chinensis were designed. A fluorescent quantitative PCR method was established to identify and quantify G. chinensis from Jinlong Capsules Formula. A standard curve for quantitative analysis of G. chinensis was established (the standard curve equation: y=-3.012 7x+34.501, y is Ct value, x is lg N, N is the copies of COⅠ fragment from G. chinensis). Samples included G. chinensis appeared amplification, while falsify group (not included G. chinensis) and negative control did not have amplification products. The copy number of COⅠ region of G. chinensis was respectively 11.511×10⁶, 6.416×10⁶, 2.553×10⁶ copies/μL in all quality goods, quality goods-adulterants 1:1, quality goods-adulterants 1:4. The results accorded with proportion of adding amount roughly. This study can provide a new strategy for quality control of Chinese patent medicine containing animal drug ingredients.

Data mining technique of TCM diagnosis and treatment / 医疗卫生装备

The requirements of TCM diagnosis and treatment techniques were analyzed for data mining,and their characteristics were also explored.The application,key technologies and development prospect of data mining were summarized when used for TCM diagnosis and treatment.The involvement of data mining in TCM diagnosis and treatment decreased the cost while increased the efficiency.The futural prospect of data mining applied to TCM diagnosis and treatment was pointed out,and references were provided for the development of TCM diagnosis and treatment.

Development of SYBR Green I real-time RT-PCR for the detection of Ebola virus / 病毒学报

In order to establish a rapid and accurate method for the detection of Ebola virus (EBOV), the primers used in SYBR Green I real-time RT-PCR were designed based on the EBOV NP gene sequences published in GenBank. The SYBR Green I real-time RT-PCR was established and optimized for the detection of EBOV. The EBOV RNA that was transcribed in vitro was used as a template. The sensitivity of this method was found to reach 1.0 x 10(2) copies/microL and the detection range was 10(2) - 10(10). No cross reaction with RNA samples from Marburg virus, Dengue virus, Xinjiang hemorrhagic fever virus, Japanese encephalitis virus, Influenza virus (H1N1 and H3N2) and Porcine reproductive and respiratory syndrome virus E genomic RNA was found. The method would be useful for the detection and monitoring of EBOV in China.

meta-analysis of treatment methods for acute ankle sprain

To conduct a Meta analysis with 12 related published studies to compare the effect of operative and conventional treatment for acute ankle sprain. A systematic research on the published paper was conducted for randomized controlled trial studies. Three data bases were searched, including Pubmed, EMbase and ISI web of Knowledge, and we compared the efficacy of two treatment methods, operative treatment and functional treatment, for acute ruptures of lateral ankle. A total of 15 related RCT studies were included in our study. RevMan software was taken to analyze the data. The 15 studies involved 1413 mostly young adults, 665 of them received surgical treatment, while 748 received conventional treatment. The results showed surgical treatment is more beneficial as compared to conventional treatment in terms of ankle activity and instability, with the OR[95%CI] of 5.15 [1.06-25.03] and 1.72 [1.31-2.26], respectively. However, the surgical treatment was accompanied with great risk of complication, including DVT, tenderness of scar, sensory loss and wound infection or necrosis. Surgical treatment is better than the conventional treatment alone, especially for the outcome of the ankle activity and instability. Further high quality randomized controlled trials are required.