Objective:To explore the characteristics of portal vein thrombosis (PVT) formation in patients with hepatitis B cirrhosis and its effect on long-term prognosis.Methods:The clinical data of a cohort of patients with hepatitis B cirrhosis who visited Beijing Youan Hospital from May 2009 to August 2020 were retrospectively analyzed. Enhanced CT examination was used as the standard for diagnosing PVT and its classification. Patients with hepatitis B cirrhosis without PVT at baseline were selected as the research subjects. According to whether PVT was formed during the follow-up period, they were divided into the PVT and control groups including 99 and 168 patients in the PVT and control groups with a follow-up time of 52.0 (46.7, 57.3) months. The changes in baseline and endpoint clinical indicators of the two groups were compared. Kaplan-Meier survival curve, log-rank test, and Cox regression were used to analyze the effect of PVT on prognosis.Results:In the PVT group, 28.28% (28/99) of patients underwent splenectomy, and 74.75% (74/99) did not receive anticoagulation therapy. The main portal vein thrombosis, portal vein branch thrombosis, and thrombosis in both groups accounted for 34.34% (34/99), 23.23% (23/99), and 15.15% (15/99), respectively. The splenic vein or superior mesenteric vein accounted for 27.27% (27/99). PVT was stable in 63.27% (63/99), progressed in 31.31% (31/99), and relieved in 5.05% (5/99) during the follow-up period. The white blood cell, hemoglobin, and platelet counts were all decreased in the PVT group compared with the baseline ( P<0.05). The international normalized ratio (INR) [1.28 (1.14, 1.39) vs. 1.33 (1.19, 1.46), P=0.041] and spleen length [(163.84±30.68) mm vs. (177.26±32.61) mm, P<0.001] was increased compared with the baseline. The proportion of gastroesophageal variceal bleeding was higher in the PVT group than in the control group (57.0% vs. 28.7%, P<0.001), and the constituent ratio of hepatic encephalopathy was not statistically significantly different ( P>0.05). The proportion of patients with ascites in the control group decreased (63.1% vs. 41.7%, P<0.001), while the proportion of patients with ascites in the PVT group was not statistically significantly different ( P>0.05). The incidence of composite clinical endpoint events in the PVT and the control group was 21.21% (21/99) and 4.17% (7/168), respectively ( P＜0.05). The incidence of composite clinical endpoint events in PVT patients without anticoagulation and anticoagulation treatment was 25.68% (19/74) and 8.00% (2/25), respectively ( P=0.062). Cox regression analysis found that PVT formation was an independent risk factor for liver-related adverse events in patients with hepatitis B cirrhosis ( HR=9.36, 95% CI: 3.65～24.02, P=0.001). Conclusions:The presence of PVT in patients with hepatitis B cirrhosis is assoliated with worse prognosis. The formation of PVT is closely related to the increased risk of liver-related adverse prognosis in patients with hepatitis B cirrhosis.

Perineural invasion (PNI) in pancreatic cancer,as an important clinical pathological feature,not only participates in various biological processes such as development,growth,invasion,and metastasis of pancreatic cancer,but also is closely associated with poor prognosis in pancreatic cancer. This article systematically reviews the latest research advancements in the field of PNI in pancreatic cancer,providing a multidimensional analysis of its anatomical basis,cytokine regulatory networks,metabolic reprogramming mechanisms,vesicle-mediated molecular transport,immune-neural interactions,pain-inducing pathomechanism,quantitative assessment frameworks,experimental model construction,cutting-edge technological applications,and innovations in surgical strategies. In the surgical domain,precision techniques combining targeted nerve plexus resection with molecular-targeted probes have significantly improved the R0 resection rate,while surgical navigation strategies based on single-cell spatial transcriptomics offer novel insights for optimizing therapeutic paradigms. Future research should prioritize the discovery of PNI-specific molecular targets,multidimensional exploration of the neural-immune-metabolic axis,and addressing the challenges of integrating interdisciplinary technologies into clinical translation.

Objective:To develop an artificial intelligence (AI)-guided intravitreal injection robot system to accurately detect the injection point on the ocular surface and guide the robotic arm to complete the intravitreal injection positioning task through 3D position calculation.Methods:The Dikablis subset of the TEyeD dataset was used.Training set, testing set, and validation set were constructed by using equal interval sampling strategy.The system read the ocular surface color RGB image with an RGBD camera, then used a PatchCrop-Transformer-based injection point detection algorithm to detect and locate key points such as the pupil, iris, and eyelid in the image.Next, it extracted the local 3D point cloud data near the injection point based on the depth information obtained by the camera.Through principal component analysis (PCA) of the local area point cloud data, the injection point and injection direction were determined.The key information was then passed to the robotic arm system.The end of the robotic arm adopted a remote center of motion (RCM) mechanism.After solving the forward and inverse kinematics, the joint movement path was obtained, and the robotic arm was controlled to move to 2 cm above the injection point.After confirmation by the doctor, the insertion, injection, and withdrawal operations were completed to ensure the stability and repeatability of the injection process.The mean square error (MSE) of key points localization and the success detection rate (SDR) within different pixel error ranges (2, 5, and 10 pixels) of the study method were compared with those of the NFDP, SLPT, and StarLoss methods, and the effects of random weight enhancement, fixed weight enhancement, and no enhancement methods on the MSE of key points localization were evaluated.The repeatability and absolute positioning accuracy of the robotic arm system were also evaluated.Results:After adding random weight enhancement, the model of this study outperformed the fixed weight enhancement and no enhancement methods in both MSE and SDR.The MSEs of the model proposed in this study for overall eye, pupil, and iris localization were 4.25, 2.41, and 1.54, respectively, which were lower than those of the NFDP, StarLoss, and SLPT methods.Within the error ranges of 5 and 10 pixels, the SDRs of the model proposed in this study were 72.09% and 92.68%, respectively, which were higher than those of the NFDP, StarLoss, and SLPT methods.The single-axis repeatability errors and absolute positioning errors of the robotic arm were within ±5 μm.Conclusions:The AI-guided intravitreal injection robot system integrates RGBD images to achieve automatic recognition of the ocular injection point and high-precision motion control through RCM mechanism design and corresponding kinematic solution methods.

Objective:To develop an artificial intelligence (AI)-guided intravitreal injection robot system to accurately detect the injection point on the ocular surface and guide the robotic arm to complete the intravitreal injection positioning task through 3D position calculation.Methods:The Dikablis subset of the TEyeD dataset was used.Training set, testing set, and validation set were constructed by using equal interval sampling strategy.The system read the ocular surface color RGB image with an RGBD camera, then used a PatchCrop-Transformer-based injection point detection algorithm to detect and locate key points such as the pupil, iris, and eyelid in the image.Next, it extracted the local 3D point cloud data near the injection point based on the depth information obtained by the camera.Through principal component analysis (PCA) of the local area point cloud data, the injection point and injection direction were determined.The key information was then passed to the robotic arm system.The end of the robotic arm adopted a remote center of motion (RCM) mechanism.After solving the forward and inverse kinematics, the joint movement path was obtained, and the robotic arm was controlled to move to 2 cm above the injection point.After confirmation by the doctor, the insertion, injection, and withdrawal operations were completed to ensure the stability and repeatability of the injection process.The mean square error (MSE) of key points localization and the success detection rate (SDR) within different pixel error ranges (2, 5, and 10 pixels) of the study method were compared with those of the NFDP, SLPT, and StarLoss methods, and the effects of random weight enhancement, fixed weight enhancement, and no enhancement methods on the MSE of key points localization were evaluated.The repeatability and absolute positioning accuracy of the robotic arm system were also evaluated.Results:After adding random weight enhancement, the model of this study outperformed the fixed weight enhancement and no enhancement methods in both MSE and SDR.The MSEs of the model proposed in this study for overall eye, pupil, and iris localization were 4.25, 2.41, and 1.54, respectively, which were lower than those of the NFDP, StarLoss, and SLPT methods.Within the error ranges of 5 and 10 pixels, the SDRs of the model proposed in this study were 72.09% and 92.68%, respectively, which were higher than those of the NFDP, StarLoss, and SLPT methods.The single-axis repeatability errors and absolute positioning errors of the robotic arm were within ±5 μm.Conclusions:The AI-guided intravitreal injection robot system integrates RGBD images to achieve automatic recognition of the ocular injection point and high-precision motion control through RCM mechanism design and corresponding kinematic solution methods.

Objective:To explore the characteristics of portal vein thrombosis (PVT) formation in patients with hepatitis B cirrhosis and its effect on long-term prognosis.Methods:The clinical data of a cohort of patients with hepatitis B cirrhosis who visited Beijing Youan Hospital from May 2009 to August 2020 were retrospectively analyzed. Enhanced CT examination was used as the standard for diagnosing PVT and its classification. Patients with hepatitis B cirrhosis without PVT at baseline were selected as the research subjects. According to whether PVT was formed during the follow-up period, they were divided into the PVT and control groups including 99 and 168 patients in the PVT and control groups with a follow-up time of 52.0 (46.7, 57.3) months. The changes in baseline and endpoint clinical indicators of the two groups were compared. Kaplan-Meier survival curve, log-rank test, and Cox regression were used to analyze the effect of PVT on prognosis.Results:In the PVT group, 28.28% (28/99) of patients underwent splenectomy, and 74.75% (74/99) did not receive anticoagulation therapy. The main portal vein thrombosis, portal vein branch thrombosis, and thrombosis in both groups accounted for 34.34% (34/99), 23.23% (23/99), and 15.15% (15/99), respectively. The splenic vein or superior mesenteric vein accounted for 27.27% (27/99). PVT was stable in 63.27% (63/99), progressed in 31.31% (31/99), and relieved in 5.05% (5/99) during the follow-up period. The white blood cell, hemoglobin, and platelet counts were all decreased in the PVT group compared with the baseline ( P<0.05). The international normalized ratio (INR) [1.28 (1.14, 1.39) vs. 1.33 (1.19, 1.46), P=0.041] and spleen length [(163.84±30.68) mm vs. (177.26±32.61) mm, P<0.001] was increased compared with the baseline. The proportion of gastroesophageal variceal bleeding was higher in the PVT group than in the control group (57.0% vs. 28.7%, P<0.001), and the constituent ratio of hepatic encephalopathy was not statistically significantly different ( P>0.05). The proportion of patients with ascites in the control group decreased (63.1% vs. 41.7%, P<0.001), while the proportion of patients with ascites in the PVT group was not statistically significantly different ( P>0.05). The incidence of composite clinical endpoint events in the PVT and the control group was 21.21% (21/99) and 4.17% (7/168), respectively ( P＜0.05). The incidence of composite clinical endpoint events in PVT patients without anticoagulation and anticoagulation treatment was 25.68% (19/74) and 8.00% (2/25), respectively ( P=0.062). Cox regression analysis found that PVT formation was an independent risk factor for liver-related adverse events in patients with hepatitis B cirrhosis ( HR=9.36, 95% CI: 3.65～24.02, P=0.001). Conclusions:The presence of PVT in patients with hepatitis B cirrhosis is assoliated with worse prognosis. The formation of PVT is closely related to the increased risk of liver-related adverse prognosis in patients with hepatitis B cirrhosis.

Perineural invasion (PNI) in pancreatic cancer,as an important clinical pathological feature,not only participates in various biological processes such as development,growth,invasion,and metastasis of pancreatic cancer,but also is closely associated with poor prognosis in pancreatic cancer. This article systematically reviews the latest research advancements in the field of PNI in pancreatic cancer,providing a multidimensional analysis of its anatomical basis,cytokine regulatory networks,metabolic reprogramming mechanisms,vesicle-mediated molecular transport,immune-neural interactions,pain-inducing pathomechanism,quantitative assessment frameworks,experimental model construction,cutting-edge technological applications,and innovations in surgical strategies. In the surgical domain,precision techniques combining targeted nerve plexus resection with molecular-targeted probes have significantly improved the R0 resection rate,while surgical navigation strategies based on single-cell spatial transcriptomics offer novel insights for optimizing therapeutic paradigms. Future research should prioritize the discovery of PNI-specific molecular targets,multidimensional exploration of the neural-immune-metabolic axis,and addressing the challenges of integrating interdisciplinary technologies into clinical translation.

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

Clinicians need to focus on various points in the diagnosis and treatment of insomnia.This article prescribed the treatment protocol based on the unique features,such as insomnia in the elderly,women experiencing specific physiologi-cal periods,children insomnia,insomnia in sleep-breathing disorder patients,insomnia in patients with chronic liver and kidney dysfunction.It pro-vides some reference for clinicians while they make decision on diagnosis,differentiation and treat-ment methods.

Breast cancer is the most common malignant tumor among women, and early diagnosis, coupled with optimized treatment strategies is crucial for improving the prognosis. In recent years, with the advancement of nanotechnology, manganese-based nanomaterials have shown potential in various aspects of early breast cancer diagnosis, drug delivery, and tumor treatment. Compared to other nanomaterials, manganese-based nanomaterials exhibit excellent biocompatibility and have become a significant focus in the research of breast cancer diagnosis and treatment.

The use of nitrification inhibitors has been suggested as a strategy to decrease cadmium(Cd)accumulation in crops.However,the most efficient nitrification inhibitor for mitigating crop Cd accumulation remains to be elucidated,and whether and how changes in soil microbial structure are involved in this process also remains unclear.To address these questions,this study applied three commercial nitrification inhibitors,namely,dicyandiamide(DCD),3,4-dimethylpyrazole phosphate(DMPP),and nitrapyrin(NP),to pakchoi.The results showed that both DCD and DMPP(but not NP)could efficiently decrease Cd concentrations in pakchoi in urea-and ammonium-fertilized soils.In addition,among the three tested nitrification inhibitors,DMPP was the most efficient in decreasing the Cd concentration in pakchoi.The nitrification inhibitors decreased pakchoi Cd concentrations by suppressing acidification-induced Cd availability and reshaping the soil microbial structure;the most effective nitrification inhibitor was DMPP.Ammonia oxidation generates the most protons during nitrification and is inhibited by nitrification inhibitors.Changes in environmental factors and predatory bacterial abundance caused by the nitrification inhibitors changed the soil microbial structure and increased the potential participants in plant Cd accumulation.In summary,our study identified DMPP as the most efficient nitrification inhibitor for mitigating crop Cd contamination and observed that the soil microbial structural changes caused by the nitrification inhibitors contributed to decreasing Cd concentration in pakchoi.