ObjectiveCandidate genes related to the regulation of litter size traits in English Springer Spaniel breeding bitches are explored, and the genetic mechanism underlying fertility in this breed is investigated, in order to provide reference molecular markers for genomic selection of high fecundity. MethodsWhole genome resequencing was performed on English Springer Spaniel breeding bitches that had given birth to at least 3 litters, and the bitches were divided into a high-litter-size group and a low-litter-size group according to the average litter size. Selection signal analysis was used to obtain the intersection of fixation index (F_st) and nucleotide diversity (Pi) signals as highly selected regions, and candidate genes were screened based on gene annotation and functional enrichment analysis. ResultsThe average litter size in the high-litter-size group (7.41±1.27) was significantly higher than that in the low-litter-size group (3.82±1.20) (P＜0.05), and the total number of live offspring in the high-litter-size group (7.06±1.10) was extremely significantly higher than that in the low-litter-size group (3.67±1.11) (P＜0.01). A total of 3 155 706 SNPs were detected in the two groups, 63.09% of which were located in intergenic regions, 33.96% in intronic regions, and 0.38％, 0.57％, and 0.09％ in exonic regions, 3' untranslated regions (UTRs), and 5'UTRs, respectively. Among the SNPs in exonic regions, 5 256 were nonsynonymous variants, accounting for 43.55%. A total of 1 752 differential genes were identified after annotation screening. Gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG) enrichment analyses identified 13 candidate genes that may affect reproductive performance and litter size traits, including WDR35, SMAD7, RPGR, RERGL, PGRMC2, LOC482182, GIMD1, COX7B2, COX16, BMPR2, BMP6, BICD1, and SLC9C1. Their functions mainly involve reproductive hormone regulation, embryonic development, GTPase activation, and oocyte apoptosis. ConclusionEnglish Springer Spaniel breeding bitches have undergone significant artificial selection for litter size traits. These 13 candidate genes play key roles in oocyte maturation and regulation during early pregnancy, providing a new molecular basis for elucidating the genetic mechanism of canine reproductive traits.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Purpose To investigate the changes in quadriceps femoris microcirculatory perfusion level after low-load blood flow restriction training and its relationship with muscle strength.Materials and Methods Twenty-five healthy subjects were prospectively recruited in the First Affiliated Hospital of Kunming Medical University from September to November 2022.A 200 mmHg pressure cuff was applied at the root of the left thigh for blood flow restriction,and the subjects completed regular knee extension training within 4 weeks.Before the first training session and within 24 hours after the last training session,all subjects underwent scanning with the 3.0T MRI intravoxel incoherent motion sequence and the multi-echo steady-state acquisition three-dimentional imaging sequence.After image post-processing,the quadriceps femoris cross-sectional area,perfusion fraction and pseudo-diffusion coefficient were obtained,and the peak torque was measured using an isokinetic dynamometer.The MRI and muscle strength test parameters before and after training were compared,and correlation analyses were performed between the change of peak torque and the change of perfusion fraction,cross-sectional area,and pseudo-diffusion coefficient respectively.Results After low-load blood flow restriction training,the cross-sectional area of the left quadriceps femoris in subjects increased(t=-4.515,P<0.05).Among its components,the cross-sectional area of the left rectus femoris,vastus intermedius and vastus lateralis all increased(t=-3.302,-2.877,-3.207,all P<0.05).The perfusion fraction value of the left quadriceps femoris increased(t=-5.447,P<0.05);the perfusion fraction values of the left rectus femoris,vastus intermedius,vastus lateralis and vastus medialis all increased(t=-5.723,-4.621,-3.767,-4.682,all P<0.05);the muscle strength of the left quadriceps femoris increased(t=-3.983,P<0.05).There was a highly positive correlation between change of perfusion fraction and peak torque of the left quadriceps femoris in subjects(r=0.708,P<0.05).Conclusion After low-load blood flow restriction training,the changes in quadriceps femoris muscle microperfusion quantified by intravoxel incoherent motion are related to muscle strength,which is helpful for formulating rehabilitation training strategies for young patients.

Objective:To evaluate the optimization effects of ciprofol-based intravenous anesthesia in elderly patients undergoing retroperitoneal laparoscopic radical nephrectomy.Methods:This study was a prospective randomized controlled study. Eighty elderly patients scheduled for elective retroperitoneal laparoscopic radical nephrectomy were randomized to receive either ciprofol-based (group C) or propofol-based intravenous anesthesia (P group), with 40 patients in each group. Anesthesia was induced by intravenous injection of ciprofol 0.4 mg/kg and maintained by intravenous infusion of ciprofol and remifentanil during operation in group C. In group P, anesthesia was induced by intravenous injection of propofol 1.5 mg/kg and maintained by intravenous infusion of propofol and remifentanil during operation. The onset time of sedative effect following anesthesia induction, hypotension and injection pain during induction and intraoperative hypotension were recorded.Results:Compared to P group, the incidence of hypotension and injection pain during induction was significantly decreased (28% vs 10%, 60% vs 18%, P<0.05); although the difference in the incidence of intraoperative hypotension was not statistically significant (25% vs 15%, P>0.05), the RR was 0.6; no significant change was found in the onset time of sedative effect following anesthesia induction in C group ( P>0.05). Conclusions:Compared to propofol-based intravenous anesthesia, ciprofol-based intravenous anesthesia has certain optimization effects in elderly patients undergoing retroperitoneal laparoscopic radical nephrectomy.

Purpose To investigate the changes in quadriceps femoris microcirculatory perfusion level after low-load blood flow restriction training and its relationship with muscle strength.Materials and Methods Twenty-five healthy subjects were prospectively recruited in the First Affiliated Hospital of Kunming Medical University from September to November 2022.A 200 mmHg pressure cuff was applied at the root of the left thigh for blood flow restriction,and the subjects completed regular knee extension training within 4 weeks.Before the first training session and within 24 hours after the last training session,all subjects underwent scanning with the 3.0T MRI intravoxel incoherent motion sequence and the multi-echo steady-state acquisition three-dimentional imaging sequence.After image post-processing,the quadriceps femoris cross-sectional area,perfusion fraction and pseudo-diffusion coefficient were obtained,and the peak torque was measured using an isokinetic dynamometer.The MRI and muscle strength test parameters before and after training were compared,and correlation analyses were performed between the change of peak torque and the change of perfusion fraction,cross-sectional area,and pseudo-diffusion coefficient respectively.Results After low-load blood flow restriction training,the cross-sectional area of the left quadriceps femoris in subjects increased(t=-4.515,P<0.05).Among its components,the cross-sectional area of the left rectus femoris,vastus intermedius and vastus lateralis all increased(t=-3.302,-2.877,-3.207,all P<0.05).The perfusion fraction value of the left quadriceps femoris increased(t=-5.447,P<0.05);the perfusion fraction values of the left rectus femoris,vastus intermedius,vastus lateralis and vastus medialis all increased(t=-5.723,-4.621,-3.767,-4.682,all P<0.05);the muscle strength of the left quadriceps femoris increased(t=-3.983,P<0.05).There was a highly positive correlation between change of perfusion fraction and peak torque of the left quadriceps femoris in subjects(r=0.708,P<0.05).Conclusion After low-load blood flow restriction training,the changes in quadriceps femoris muscle microperfusion quantified by intravoxel incoherent motion are related to muscle strength,which is helpful for formulating rehabilitation training strategies for young patients.

Objective:To evaluate the optimization effects of ciprofol-based intravenous anesthesia in elderly patients undergoing retroperitoneal laparoscopic radical nephrectomy.Methods:This study was a prospective randomized controlled study. Eighty elderly patients scheduled for elective retroperitoneal laparoscopic radical nephrectomy were randomized to receive either ciprofol-based (group C) or propofol-based intravenous anesthesia (P group), with 40 patients in each group. Anesthesia was induced by intravenous injection of ciprofol 0.4 mg/kg and maintained by intravenous infusion of ciprofol and remifentanil during operation in group C. In group P, anesthesia was induced by intravenous injection of propofol 1.5 mg/kg and maintained by intravenous infusion of propofol and remifentanil during operation. The onset time of sedative effect following anesthesia induction, hypotension and injection pain during induction and intraoperative hypotension were recorded.Results:Compared to P group, the incidence of hypotension and injection pain during induction was significantly decreased (28% vs 10%, 60% vs 18%, P<0.05); although the difference in the incidence of intraoperative hypotension was not statistically significant (25% vs 15%, P>0.05), the RR was 0.6; no significant change was found in the onset time of sedative effect following anesthesia induction in C group ( P>0.05). Conclusions:Compared to propofol-based intravenous anesthesia, ciprofol-based intravenous anesthesia has certain optimization effects in elderly patients undergoing retroperitoneal laparoscopic radical nephrectomy.

From December 2022 to January 2023, 4 lung transplant recipients (3 males and 1 female, aged 52-60 years, all received transplantation less than 1 year) were hospitalized in the Department of Thoracic Surgery of the First Affiliated Hospital of Xi'an Jiaotong University due to COVID-19 after surgery. The clinical manifestations were mostly characterized by elevated body temperature accompanied by shortness of breath, and indicators such as heart rate, oxygen saturation, and oxygenation index could reflect the severity of the condition. The therapy was timely adjusted to immunosuppressive drugs, upgraded oxygen therapy, anti-bacterial and anti-fungal therapy, prone ventilation, general treatment, and anticoagulant therapy, depending on the situation. Finally, 3 patients were cured and discharged from hospital, and 1 died.

Objective To explore the feasibility of electrical impedance tomography(EIT)for real-time and accurate monitoring of respiration during HP anti-G movements and the key parameters of pulmonary ventilation.Methods Twelve healthy male students in our university were enrolled in September 2023 and subjected in this study.HP anti-G movements were performed 3 times each for 30 s in the anti-G physiological training apparatus,during which EIT and ophthalmic horizontal arterial pressure were measured to analyze the relationship of the global and local parameters of pulmonary ventilation,including inspiratory volume(IV),expiratory uniform(EU),expiratory speed(ES),center of ventilation(COV)and right-to-left lung ventilation ratio(RtoL)with anti-G ability of anti-G straining maneuver(AGSM).Results The average eye horizontal systolic blood pressure(SBP)at the eye level was 148.82±22.75 mmHg during HP anti-G movements,which was significantly higher than that during quiet breathing(PJ)(95.17±8.51 mmHg,P＜0.001).From the global pulmonary ventilation,the participants had significantly increased IV during HP anti-G movements(P＜0.001).According the d value(mean increase of eye horizontal SBP=SBPHP-SBPPJ),the subjects were divided into 3 groups,with the d value of＞60,30～60 and＜30 mmHg,respectively.The inspiratory volume ratio(IVHP/IVPJ)was the highest in the＞60 mmHg group and the smallest in the＜30 mmHg group(P＜0.01).The subjects had significantly decreased EU and more evenly expiration(P＜0.05),but no change was seen in the expiratory uniformity ratio(EUHP/EUPJ)among the 3 groups.ES was obviously faster during HP anti-G movements(P＜0.001),and the expiratory speed ratio(ESHP/ESPJ)had no significant difference among the 3 groups.The inspiratory time and expiratory time were 0.77±0.32 and 1.59±0.21 s,respectively,and both of them were notably shorter during HP anti-G movements(P＜0.001,P＜0.01).From the local pulmonary ventilation,COV during HP anti-G movements was significantly smaller than that during PJ(P＜0.001),and the ventilation center deviated to the ventral side,and RtoL was decreased and the ventilation distribution deviated to the left lung(P＜0.05).Conclusion EIT can perform real-time imaging of pulmonary global and local ventilation during HP anti-G movements,and it has a great application prospect in AGSM training and monitoring.