BACKGROUND:Previous research has demonstrated that preoperative hormone therapy relieved clinicaI and pathological stages of prostatic carcinoma patients,reduced positive ratio of incisaI margin:however,it did not increase disease-free surviva J rate.Worth of preoperative hormone therapy for prostatic carcinoma remains unclear.OBJECTIVE:To assess the role of preoperative hormone therapy in localised prostate cancer.METHODS:Articles were searched from PubMed,Embase.Cochrane Library(No.4,2009),Chinese biomedicaf literature database,Chinese Scientific Journals full_text database,and Chinese Journal full-text database(published before October,2009).Randomized controlled trials which were diagnosed as Iocalised prostate cancer using pathology and cytology were included The sex and nationality were not limited.and patients did not have severe heart and lung diseases Prostatic carcinoma which occurred Later or repeatedly was excluded.Otherwise.randomized controlled trails which were coincidence with the inclusion criteria were also included.Review Manager 5.0 published by Cochrane was used for stafistical analysis.Overall survival rate.disease-free survivaI rate,positive surgical margin rate,positive lymph node rate.and seminal vesicle invasion rate were evaluated.RESULTS AND CONCLUSlON:Six randomized controlled trials totaling 1 027 padicipants were included.The result of meta analysis showed that there was no significant difference in overall surviva J rate[RR=0.94,95%C,(0.86,1.02)],disease-free survival rate[RR=1.02,95%CI(0.89,1.17)],positive lymph node rate IRR=0.86,95%CI(0.47,1.57)],and seminal vesicle invasion rate[RR=1.09,95%CI(0.74,1.59)]between single prostatectomy and preoperative hormone therapy plus prostatectomy,while there was significant difference in positive surgical margin rate[RR=0.46,95%CI(0.32,0.66)]This suggested that preoperative hormonal therapy prior to prostatectomy did not improve survival rate,positive lymph nodes rate and seminaI vesicle invasion rate:however.there was a significant reduction in the positive surgicaI margin rate.

BACKGROUND: There are many in vitro selection method of sperm, and swim-up and density gradient centrifugation are commonly used. It remains unclear which method minimizes bad stimulation to the sperm and select sperm with high fertilization potential. OBJECTIVE: To evaluate the effectiveness of swim-up and gradient centrifugation preparation techniques on intrauterine insemination (IUI).METHODS: A computer-based online search of Cochrane Library, PubMed, EMBASE databases was performed, and some related journals were manually searched for related articles published between January 1966 and February 2009. The quality of included randomized controlled trials (RCT) and q-randomized trials (Q-RCT) was evaluated and Meta-analysis was conducted by the Cochrane Collaboration's software RevMan5.0. Experts.RESULTS AND CONCLUSION: A total of 6 studies were included, involving 4 RCTs and 2 Q-RCTs. A total of 486 patients (1 099 IUI cycles) were enrolled. The Meta-analysis indicated that there was no difference between swim-up and gradient centrifugation preparation techniques for the IUI in terms of cycle pregnancy rates [OR = 1.11, 95%CI(0.8,1.55)], miscarriage rates [OR = 0.31, 95%CI(0.09,1.04)], sperm count [the weight mean difference (WMD) =-0.89, 95%CI(-14.17,12.38)], sperm motility [WMD = -2.31, 95%CI(-7.27,2.65)]. There is insufficient evidence to confirm which is the best method in the two specific preparation techniques. The quality of study methods should be improved. And more measure parameters should be included when comparing it before or after treatment, such as sperm motility, sperm count, sperm function.

Objective:To investigate the application value of augmented reality navigation combined with indocyanine green(ICG) fluorescence imaging technology in laparoscopic anatomical segment 8 liver resection.Methods:Clinical and pathological data from 8 patients with hepatocellular carcinoma located in segment 8 of the liver admitted to the First Department of Hepatobiliary Surgery,Zhujiang Hospital,Southern Medical University from October 2021 to October 2022 were collected restrospectively. Among them,there were 5 males and 3 females,aged between 40 and 72 years. During the operation,the self-developed laparoscopic augmented reality surgical navigation system was used to integrate the three-dimensional liver model with the laparoscopic scene,and ICG fluorescence imaging technology was used to guide the anatomical liver resection of segment 8. The predicted liver resection volume and actual liver resection volume,related surgical indicators and postoperative complications were analyzed.Results:Among the 8 patients, 4 underwent laparoscopic anatomical segment 8 liver resection,1 underwent laparoscopic anatomical ventral subsegment of segment 8 liver resection,2 underwent laparoscopic anatomical ventral subsegment combined with medial subsegment of segment 8 liver resection, and 1 underwent laparoscopic anatomical dorsal subsegment of segment 8 liver resection. All operations were completed under the guidance of augmented reality navigation combined with ICG fluorescence imaging,without conversion to open surgery. The operation time was (276.3±54.8)minutes(range:200 to 360 minutes). Intraoperative blood loss was (75.0±35.4)ml(range:50 to 150 ml). No blood transfusion was performed during the operation. The length of postoperative hospital stay was (7.6±0.8)days(range:7 to 9 days). There were no deaths or postoperative complications such as bleeding or biliary fistula during the perioperative period.Conclusion:Augmented reality navigation combined with ICG fluorescence imaging technology can guide the implementation of laparoscopic anatomical segment 8 liver resection.

Objective:To investigate the application value of augmented reality navigation combined with indocyanine green(ICG) fluorescence imaging technology in laparoscopic anatomical segment 8 liver resection.Methods:Clinical and pathological data from 8 patients with hepatocellular carcinoma located in segment 8 of the liver admitted to the First Department of Hepatobiliary Surgery,Zhujiang Hospital,Southern Medical University from October 2021 to October 2022 were collected restrospectively. Among them,there were 5 males and 3 females,aged between 40 and 72 years. During the operation,the self-developed laparoscopic augmented reality surgical navigation system was used to integrate the three-dimensional liver model with the laparoscopic scene,and ICG fluorescence imaging technology was used to guide the anatomical liver resection of segment 8. The predicted liver resection volume and actual liver resection volume,related surgical indicators and postoperative complications were analyzed.Results:Among the 8 patients, 4 underwent laparoscopic anatomical segment 8 liver resection,1 underwent laparoscopic anatomical ventral subsegment of segment 8 liver resection,2 underwent laparoscopic anatomical ventral subsegment combined with medial subsegment of segment 8 liver resection, and 1 underwent laparoscopic anatomical dorsal subsegment of segment 8 liver resection. All operations were completed under the guidance of augmented reality navigation combined with ICG fluorescence imaging,without conversion to open surgery. The operation time was (276.3±54.8)minutes(range:200 to 360 minutes). Intraoperative blood loss was (75.0±35.4)ml(range:50 to 150 ml). No blood transfusion was performed during the operation. The length of postoperative hospital stay was (7.6±0.8)days(range:7 to 9 days). There were no deaths or postoperative complications such as bleeding or biliary fistula during the perioperative period.Conclusion:Augmented reality navigation combined with ICG fluorescence imaging technology can guide the implementation of laparoscopic anatomical segment 8 liver resection.

Objective:To investigate the application value of major anatomical structure recognition model of minimally invasive liver resection based on deep learning.Methods:The retrospective and descriptive study was conducted. The 31 surgical videos of laparoscopic left lateral sectionectomy performed in Zhujiang Hospital of Southern Medical University from January 2019 to April 2023 were collected. Video clips containing the surgical procedure of left lateral lobe liver pedicle and left hepatic vein were screened by 2 liver surgeons. After quality control, screening and frame extraction, the major anatomical structures on the images of these clips were annotated. After pre-processing, these images were transported to the DeepLab v3+neural network framework for model training. Observation indicators: (1) video annotation and classification; (2) results of arti-ficial intelligence anatomical recognition model testing. Measurement data with normal distribution were represented as Mean± SD, and count data were described as absolute numbers. Results:(1) Video annotation and classification. A total of 4 130 frames of images were annotated in the 31 surgical videos, including 2 083 frames of annotated images for the left lateral lobe liver pedicle, 1 578 frames of annotated images for the left hepatic vein and 469 frames of annotated images for both the left lateral lobe liver pedicle and left hepatic vein. (2) Results of artificial intelligence anatomical recognition model testing. In four application scenarios (clean scene, bloodstain scene, partially obstruction by instrument scene, and small exposed area scene), the model was able to successfully recognize the left lateral lobe liver pedicle and left hepatic vein, with a recognition speed for anatomical markers >13 frames/s. When performing anatomical recognition on images with only the left lateral lobe liver pedicle, the Dice coefficient, intersection over union, accuracy, sensitivity and specificity of the model were 0.710±0.110, 0.560±0.120, 0.980±0.010, 0.640±0.030, and 0.980±0.010, respectively. The above indicators of the model were 0.670±0.180, 0.530±0.200, 0.980±0.010, 0.600±0.040, and 0.990±0.010 when performing anatomical recognition on images with only the left hepatic vein, and 0.580±0.180, 0.430±0.190, 0.980±0.010, 0.580±0.020, and 0.990±0.010 when per-forming anatomical recognition on images with both the left lateral lobe liver pedicle and left hepatic vein.Conclusion:The major anatomical structure recognition model of minimally invasive liver resection based on deep learning can be applied in identifying liver pedicle and hepatic vein.

As one of the key enzymes in cell metabolism, the activity of citrate synthase 3 (CS3) regulates the substance and energy metabolism of organisms. The protein members of CS3 family were identified from the whole genome of apple, and bioinformatics analysis was performed and expression patterns were analyzed to provide a theoretical basis for studying the potential function of CS3 gene in apple. BLASTp was used to identify members of the apple CS3 family based on the GDR database, and the basic information of CS3 protein sequence, subcellular localization, domain composition, phylogenetic relationship and chromosome localization were analyzed by Pfam, SMART, MEGA5.0, clustalx.exe, ExPASy Proteomics Server, MEGAX, SOPMA, MEME, WoLF PSORT and other software. The tissue expression and inducible expression characteristics of 6 CS3 genes in apple were determined by acid content and real-time fluorescence quantitative polymerase chain reaction (qRT-PCR). Apple CS3 gene family contains 6 members, and these CS3 proteins contain 473-608 amino acid residues, with isoelectric point distribution between 7.21 and 8.82. Subcellular localization results showed that CS3 protein was located in mitochondria and chloroplasts, respectively. Phylogenetic analysis divided them into 3 categories, and the number of genes in each subfamily was 2. Chromosome localization analysis showed that CS3 gene was distributed on different chromosomes of apple. The secondary structure of protein is mainly α-helix, followed by random curling, and the proportion of β-angle is the smallest. The 6 members were all expressed in different apple tissues. The overall expression trend from high to low was the highest relative expression content of MdCS3.4, followed by MdCS3.6, and the relative expression level of other members was in the order of MdCS3.3 > MdCS3.2 > MdCS3.1 > MdCS3.5. qRT-PCR results showed that MdCS3.1 and MdCS3.3 genes had the highest relative expression in the pulp of 'Chengji No. 1' with low acid content, and MdCS3.2 and MdCS3.3 genes in the pulp of 'Asda' with higher acid content had the highest relative expression. Therefore, in this study, the relative expression of CS3 gene in apple cultivars with different acid content in different apple varieties was detected, and its role in apple fruit acid synthesis was analyzed. The experimental results showed that the relative expression of CS3 gene in different apple varieties was different, which provided a reference for the subsequent study of the quality formation mechanism of apple.
Citric Acid ; Malus/genetics* ; Citrate (si)-Synthase ; Phylogeny ; Citrates