Cerebral small vessel disease (CSVD) is an important cause of stroke and cognitive impairment, with complex pathogenesis and limited therapeutic options. Although monogenic hereditary CSVD has a low incidence, its well-defined causative genes provide a unique " natural model" for revealing the core molecular pathways of CSVD. Based on previous studys, this article systematically sorts out the newly identified pathogenic genes of monogenic CSVD, such as NIT1, MAP3K6 and ARHGEF15, and precisely identifies core pathophysiological processes including vascular smooth muscle cell dysfunction and extracellular matrix homeostasis imbalance. Furthermore, it reviews the latest advances in genome-wide association studies (GWAS) on sporadic CSVD and its imaging markers, and confirms an overlap in their genetic architectures. Finally, this article discusses the research strategy of integrating multi-omics data such as transcriptomics and proteomics to deeply analyze the biological mechanisms of risk variants, and summarizes the clinical translational value of genetic research in the precision diagnosis, risk stratification, drug target mining and drug repositioning of CSVD.

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.

Objective To investigate the application effect of three-dimensional CT-assisted pedicle measurement in elderly patients undergoing percutaneous vertebroplasty(PVP).Methods A total of 80 osteoporotic patients with L1 vertebral compression fracture who were treated in People's Hospital of Qujiang District in Shaoguan from March 2021 to March 2023 were selected as the study subjects.Three-dimensional CT-assisted pedicle measurement was performed before surgery,including L1 axial effective angle,axial effective pedicle transverse,oblique sagittal effective angle,oblique sagittal effective longitudinal diameter,and pedicle transverse diameter,and their differences between different genders were analyzed.Four patients with an effective pedicle diameter of less than 3 mm were included into the bilateral group,and the rest of the patients were divided into the unilateral group(received unilateral-approach PVP)and the bilateral group(received bilateral-approach PVP)according to the random number table method.The perioperative conditions of patients in the two groups were collected.The follow-up was performed for six months after surgery,and the visual analogue scale(VAS)score and Oswestry dysfunction index(ODI)score of patients between the two groups were compared before surgery,1 month after surgery and 6 months after surgery.X-ray examinations were performed before and after surgery to evaluate the recovery of Cobb angle and cement leakage.Results No significant difference was observed in axial universal effective angle or universal oblique sagittal effective angles between genders(P>0.05).The male patients showed greater axial lateral effective angle,axial lateral effective pedicle transverse,axial universal effective pedicle transverse,lateral oblique sagittal effective angle,lateral oblique sagittal effective longitudinal diameter,universal oblique sagittal effective longitudinal diameter,and pedicle transverse as compared to female patients,with statistically significant differences(P<0.05).The intraoperative fluoroscopy times and bone cement injection volume of patients in the unilateral group were less/lower than those in the bilateral group,with statistically significant differences(P<0.05).There was no significant difference in the operation time of patients between the two groups(P>0.05).During the follow-up period,3 patients were lost to follow-up in the unilateral group and 4 patients in the bilateral group.One patient in the unilateral group had cement leakage.There were no significant differences in the VAS scores,ODI scores before surgery and 1 month after surgery or Cobb angles before and after surgery between the two groups(P>0.05).The VAS and ODI scores of patients in the unilateral group 6 months after surgery were significantly higher than those in the bilateral group,with statistically significant differences(P<0.05).Conclusion In the treatment of osteoporotic vertebral compression fractures,three-dimensional CT-assisted pedicle measurement before PVP can help to achieve accurate puncture,and improve the safety and effectiveness of the surgery.

Objective To observe the value of advanced patient motion correction(APMC)technology for improving imaging quality of low-dose pediatric chest CT.Methods Ninety-six children who received low-dose chest CT scan were retrospectively enrolled.CT images were reconstructed using full reconstruction technique(FULL)or APMC for both lung window and mediastinal window.Then the imaging qualities were subjectively evaluated according to image clarity,degree of motion artifacts,sharpness of structural edges and overall quality.The indexes of objective evaluation of imaging quality included the mean CT values of unit density pixel within ROI on lung window and mediastinal window,the standard deviation of CT values(SDCT)representing image noise,as well as signal-to-noise ratio(SNR).Sobel operator edge detection was performed on images,recording the mean gray level(G)and the standard deviation of gray value in Sobel(SDsobel)within ROI.Comparisons were made between FULL reconstruction and corrected images with APMC reconstruction in terms of subjective and objective evaluations,as well as parameters obtained from Sobel output images.Results Compared to FULL reconstruction,APMC corrected images showed reduced motion artifacts,improved edge structure sharpness and enhanced overall image quality(all P＜0.05),while there was no significant difference of image clarity(P＞0.05).Meanwhile,with APMC reconstructions,the mean CT values,SDCT on lung window and SDCT on mediastinal window increased(all P＜0.05),but there was no significant difference for the mean CT values on mediastinal window(P＞0.05),and SNR on both lung window and mediastinal window decreased(both P＜0.05).Besides,for Sobel output images,compared to FULL reconstruction,APMC reconstruction had increased G and SDsobel on both lung window and mediastinal window(all P＜0.05).Conclusion APMC technology applicated in low-dose chest CT scan of children could effectively reduce motion artifacts,improve edge clarity and imaging quality,hence enhance diagnostic sensitivity.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Objective Based on the SWOT analysis method,the temporary medical order dispensing service model of pharmacy intravenous admixture service(PIVAS)of M Hospital was constructed and its implementation effect was evaluated,so as to provide reference for other medical institutions to carry out PIVAS temporary dispensing services.Methods SWOT analysis was used to analyze the advantages,disadvantages,opportunities and threats of PIVAS in M Hospital,and targeted operation strategies and practices were proposed.The safety of intravenous medication,the level of pharmacy service and the cost-effectiveness of the department were used to evaluate the implementation effect of PIVAS temporary medical order dispensing service.Results After the operation strategy of PIVAS temporary medical order dispensing service was constructed and implemented based on SWOT analysis,the time of a single medical order for PIVAS labeling in M Hospital was significantly decreased from(7.19±0.06)s/bag to(6.06±0.09)s/bag(P＜0.05);and the number of errors was significantly reduced from(32.50±2.54)pieces/quarter to(19.75±0.59)pieces/quarter(P＜0.05);The qualified rate of temporary prescription increased from(60.52±1.17)％to(90.63±1.72)％(P＜0.05);The qualified rate of finished infusion delivery time increased from(80.63±1.66)％to(90.80±2.98)％(P＜0.05);The satisfaction rate of PIVAS service in the ward increased from 50％to 90％(P＜0.05);the cost of blending decreased from(3.50±0.05)yuan/bag to(3.00±0.12)yuan/bag(P＜0.05).Conclusion The operation strategy of PIVAS temporary medical order dispensing service of M Hospital based on SWOT analysis gives full play to its own advantages,provides more comprehensive and high-quality services for clinicians and patients,ensures the safety and timeliness of patients' medication,and improves the economic efficiency of the department,which is worthy of reference and promotion.

Objective To observe the value of advanced patient motion correction(APMC)technology for improving imaging quality of low-dose pediatric chest CT.Methods Ninety-six children who received low-dose chest CT scan were retrospectively enrolled.CT images were reconstructed using full reconstruction technique(FULL)or APMC for both lung window and mediastinal window.Then the imaging qualities were subjectively evaluated according to image clarity,degree of motion artifacts,sharpness of structural edges and overall quality.The indexes of objective evaluation of imaging quality included the mean CT values of unit density pixel within ROI on lung window and mediastinal window,the standard deviation of CT values(SDCT)representing image noise,as well as signal-to-noise ratio(SNR).Sobel operator edge detection was performed on images,recording the mean gray level(G)and the standard deviation of gray value in Sobel(SDsobel)within ROI.Comparisons were made between FULL reconstruction and corrected images with APMC reconstruction in terms of subjective and objective evaluations,as well as parameters obtained from Sobel output images.Results Compared to FULL reconstruction,APMC corrected images showed reduced motion artifacts,improved edge structure sharpness and enhanced overall image quality(all P＜0.05),while there was no significant difference of image clarity(P＞0.05).Meanwhile,with APMC reconstructions,the mean CT values,SDCT on lung window and SDCT on mediastinal window increased(all P＜0.05),but there was no significant difference for the mean CT values on mediastinal window(P＞0.05),and SNR on both lung window and mediastinal window decreased(both P＜0.05).Besides,for Sobel output images,compared to FULL reconstruction,APMC reconstruction had increased G and SDsobel on both lung window and mediastinal window(all P＜0.05).Conclusion APMC technology applicated in low-dose chest CT scan of children could effectively reduce motion artifacts,improve edge clarity and imaging quality,hence enhance diagnostic sensitivity.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Objective:Bidirectional causal associations of 41 cytokines with atopic dermatitis(AD)were explored based on a Mendelian randomization(MR)approach.Methods:Pooled data from genome wide association study(GWAS)of 41 cytokines and AD were utilized for instrumental variable(IV)screening,and single nucleotide polymorphism(SNP)affecting the results of MR analyses was excluded by the MR-PRESSO outlier test as well as by the MR Steiger filtering method.Two-sample bidirectional MR analyses were performed using inverse variance weighting(IVW),MR-Egger regression,and weighted median methods(WM).MR-Egger intercept term test and Cochran's Q test were performed to test the pleiotropy and heterogeneity of IV,and MR results were visu-alized by scatterplots,funnel plots,and leave-one-out plots.Results:Forward MR analysis showed that MIG(IVW:OR=0.89;95%CI:0.81～0.97;P=0.006)reduced the risk of AD development.In contrast,IL-5(IVW:OR=1.17;95%CI:1.01～1.36;P=0.042)and IL-18(MR Egger:OR=1.17;95%CI:1.03～1.33;P=0.030)increased the risk of AD development.Inverse MR analysis showed a potential causal association between AD and increased MIG(IVW:Beta=0.10;95%CI:0.02～0.17;P=0.014).None of the sensitivity analyses indicated pleiotropy and heterogeneity of the included IV.Conclusion:MIG may be an important marker in the progression of AD with a potential bidirectional causal association with risk of morbidity.IL-5 and IL-18 have a potential positive causal association for AD.

Objective To observe the origin and course of the obturator artery(OA),so as to provide anatomical reference for reducing hemorrhage during pelvic surgery and pubic fracture fixation.Methods A total of 65 human hemi-pelvises specimens with intact structure were dissected to observe the origin,course and other variations of OA.Measure the length of the inner section of OA basin and the outer diameter at the origin,etc.Results OA originated from the internal iliac artery in 57 cases(87.7%),including 3 cases(4.6%)of the superior gluteal artery,5 cases(7.7%)of the inferior gluteal artery,3 cases(4.6%)of the external iliac artery and 5 cases(7.7%)of the inferior epigastric artery.OA participated in the formation of the arterial trunk in 3 cases(4.6%).The length of the pelvic segment of the OA in male and female was(50.87±15.41)mm and(51.71±14.19)mm,respectively,with no statistically significant difference between them(P>0.05).The outer diameters at the origin of the OA in male and female were(2.79±1.05)mm and(2.35±0.86)mm,and there was no statistically significant difference between them(P>0.05).Conclusion OA mainly originated from the anterior trunk of the internal iliac artery,with a few OA originated from the branches of the posterior trunk or the inferior epigastric artery,or participated in the formation of the arterial trunk.In pelvic surgery involving OA area,attention should be paid to the length of its pelvic segment and the outer diameter at the origin of OA,so as to better locate and protect blood vessels during surgery.