1.Quality standard improvement of Compound Isodon Rernifolia (D.Don) Kudo Tablets
Liuchun WU ; Zilong QIN ; Qiuxiang JIANG
Chinese Traditional Patent Medicine 1992;0(07):-
AIM: HPLC-ELSD method was established to investigate the content of oleanolic acid and ursolic acid in Compound Isodon Rernifolia(D.Don) Kudo Tablets. METHODS: The determination of oleanolic acid and ursolic acid was conducted by HPLC-ELSD using a Agilent Eclipse XDB-C_(18)(4.6 mm?250 mm,5 ?m) column;The mobile phase consisted of methanol-0.5% ammonium acetate solution(82∶18).The flow rate was 1.0 mL/min.The column temperature was set at 30 ?C.The drift tube temperature was set at 85 ?C.The gas flow rate was 2.0 L/min. RESULTS: The linear ranges of oleanolic acid and ursolic acid were 0.45-2.69 ?g(r=0.999 9) and 0.63-3.75 ?g(r=0.999 3),respectively.The average recoveries of oleanolic acid and ursolic acid were(100.3%)(RSD=1.32%) and 100.6%(RSD=1.66%),respectively. CONCLUSION: The method is simple,accurate,and specific which is better than the original one.
3. Diagnostic performance of contrast-enhanced spectral mammography in suspected breast lesions based on histological results
Chanjuan WEN ; Weimin XU ; Hui ZENG ; Zilong HE ; Jiefang WU ; Zeyuan XU ; Sina WANG ; Genggeng QIN ; Weiguo CHEN
Chinese Journal of Radiology 2019;53(9):737-741
Objective:
To assess the diagnostic performance of contrast-enhanced spectral mammography (CESM) in suspected breast lesions.
Methods:
A total of 97 patients with suspected breast cancer identified by clinical examination or screening underwent two-views CESM examination on the basis of digital breast tomosynthesis (DBT) combined with full-field digital mammography (FFDM), and they were finally confirmed by biopsy or pathology. Three senior radiologists analyzed images, including lesion visibility, lesion characteristics, enhancement type, degree of enhancement, BIRDS classification, etc. Finally, based on the pathology, we compared the CESM+DBT+FFDM and DBT+FFDM two models according to sensitivity, specificity and ROC for diagnostic performance.
Results:
There were a total of 120 lesions. Eighty-nine lesions were malignant, 31 benign; CESM was not enhanced in 2 cases, mild enhancement was performed in 22 cases, moderately intensive in 15 cases, highly intensive in 81 cases, and 2 cases were not enhanced; mass-enhanced in 96 cases, including ring-enhanced in 12 cases, 22 cases of non-mass type. The sensitivities of the combination of CESM and not combination of CESM were 91.0% and 80.9%, respectively, and the specificities were 93.5% and 87.1%, respectively. The area under the ROC curve of combination of CESM was higher than the without combination of CESM (0.923 and 0.900,
4.A feasibility study of building up deep learning classification model based on breast digital breast tomosynthesis image texture feature extraction of the simple mass lesions
Zilong HE ; Wenbing LYU ; Genggeng QIN ; Xin LIAO ; Weimin XU ; Chanjuan WEN ; Hui ZENG ; Weiguo CHEN
Chinese Journal of Radiology 2018;52(9):668-672
Objective To evaluate the diagnostic performance of digital breast tomosynthesis (DBT) breast X-ray photography image texture characteristics based deep learning classification model on differentiating malignant masses. Methods Retrospectively collected 132 cases with simplex breast lesions (89 benign lesions and 43 malignant lesions) which were confirmed by pathology and DBT during January 2016 to December 2016 in Nanfang Hospital. DBT was performed before biopsy and surgery. Image of cranio-caudal view (CC) and medio-lateral oblique (MLO) were captured. The lesion area was segmented to acquire ROI by ITK-SNAP software. Then the processed images were input into MATLAB R2015b to establish a feature model for extracting texture features. The characteristics with high correlation was analyzed from Fisher score and one sample t test. We built up support vector machine (SVM) classification model based on extracted texture and added neural network model (CNN) for deep learning classification model. We randomly assigned collected cases into training group and validation group. The diagnosis of benign and malignant lesions were served as the reference. The efficiency was evaluated by ROC classification model. Result We extracted 82 texture characteristics from 132 images of leisure (132 images of CC and 132 images of MLO) by establishing deep learning classification model of breast lesions. We randomly chose and combined characteristics from 15 texture characteristics with statistical significance, then differentiated benign and malignant by SVM classification model. After 50 iterations on each combination of characteristics, the average diagnostic efficacy was compared to obtained the one with higher efficacy. Nine of CC and 8 of MLO was selected. The result showed that the sensitivity, specificity, accuracy and area under curve (AUC) of the model to differentiate simplex breast lesions for CC were 0.68, 0.77, 0.74 and 0.74, for MLO were 0.71, 0.71, 0.71 and 0.76. Conclusions MLO has better diagnostic performance for the diagnosis than CC. The deep learning classification model on breast lesions which was built upon DBT image texture characteristics on MLO could differentiate malignant masses effectively.
5.Clinical utility of electromagnetic navigation bronchoscopy-guided microwave ablation in patients with inoperable high-risk pulmonary nodules
Jie LIU ; Yong ZHANG ; Maosong YE ; Zilong LIU ; Qin HU ; Xin ZHANG ; Chun LI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2021;28(11):1315-1321
Objective To explore the clinical utility and safety of electromagnetic navigation bronchoscopy (ENB)-guided microwave ablation (MWA) in the patients with inoperable high-risk pulmonary nodules. Methods Clinical data of patients who were diagnosed with inoperable pulmonary nodules highly suspected as malignant tumors and treated with ENB-guided MWA in Zhongshan Hospital, Fudan University from December 2019 to September 2020 were retrospectively collected and analyzed to evaluate the efficacy and safety of the procedure. There were 6 males and 3 females aged 72.0 (59.5-77.0) years. Results Totally ENB-guided MWA was performed in 9 patients with 12 lesions. All patients suffered from at least one chronic comorbidity. The inoperable reasons included poor pulmonary function (55.6%), comorbidities of other organs which made the surgery intolerable (33.3%), multiple lesions in different lobes or segments (22.2%), personal wills (22.2%) and advanced in age (11.1%). The median diameter of nodules was 13.5 (9.5-22.0) mm and the median distance from the edge of nodules to pleura was 5.3 (1.8-16.3) mm. Bronchoscope maneuver to the targeted lesions was manipulated according to navigation pathway under visual and X-ray guidance and confirmed with radial ultrasound probe. Rapid on-site evaluation also helped with primary pathological confirmation of biopsy specimen. Among all the lesions, 4 adenocarcinoma, 1 non-small cell lung cancer-not otherwise specified and 2 inflammatory lesions were reported in postoperative pathological diagnosis, while no malignant cells were found in 5 specimens. The ablation success rate was 83.3% (10/12). For the two off-targeted lesions, percutaneous ablations were performed as salvage treatment subsequently. The median hospitalization time was 3.0 (2.0-3.0) days and no short-term complications were reported in these patients. Conclusion ENB-guided MWA is a safe and effective procedure for patients with high-risk pulmonary nodules when thoracic surgery cannot be tolerated.
6.Augmented renal clearance in Chinese intensive care unit patients after traumatic brain injury: a cross-sectional study.
Zilong DANG ; Hong GUO ; Bin LI ; Maohua ZHEN ; Jian LIU ; Yuhui WEI ; Hongyan QIN ; Zhimin DOU ; Lei ZHANG ; Lei ZHU ; Yongqiang CAO ; Fengjiao LI ; Xinan WU
Chinese Medical Journal 2022;135(6):750-752
7.Progression in the treatment of female stress urinary incontinence with underactive bladder
Zilong LIANG ; Yifan SONG ; Haofeng PANG ; Jizong LYU ; Guanyu WU ; Yongxiang SHAO ; Lingchen KONG ; Baolin ZHUANG ; Weijun QIN ; Fei LIU
Journal of Modern Urology 2024;29(2):183-186
Stress urinary incontinence (SUI) and underactive bladder (UAB) are common types of lower urinary tract dysfunction in women.As the treatment mechanisms of the two conditions are contradictory, the treatment of SUI patients complicated with UAB remains a difficult clinical problem.In order to improve the treatment rate of such patients and promote research, this paper reviews the latest domestic and overseas diagnostic criteria of UAB, summarizes the treatment experience of conventional midurethral sling (tension-free vaginal tape or outside-in transobturator tape) and adjustable sling procedures (transobturator adjustable tape or Remeex system) combined with medication or intermittent catheterization, and the application prospects of cutting-edge technologies such as stem cell injection, cytokine therapy and gene therapy, so as to provide reference for clinicians and researchers.