Myosteatosis is one of the common complications in patients with end-stage liver disease, which is significantly associated with poor outcomes after liver transplantation. Currently, diagnostic criteria of myosteatosis have not been established, and CT is the most commonly used for diagnosis. The pathogenesis of myosteatosis is multifactorial, and the pathophysiological mechanisms linking it to end-stage liver disease are not fully understood. An increasing number of scholars have recognized that the severity of myosteatosis is closely related to its clinical consequences, but there are no effective treatment options available. This article reviews the pathophysiological mechanisms and diagnostic methods of myosteatosis, and its impact on the prognosis of liver transplant recipients, and discusses current treatment strategies to provide references for the perioperative management of liver transplant recipients.

Environmental pollution is a significant public health challenge worldwide, and investigating the causal relationship between environmental exposure and population health outcomes is a key objective of environmental epidemiology research. In recent years, the complexity of environmental exposures has increasingly come to the forefront, making it challenging for observational studies that dominate environmental epidemiology to accurately estimate causal effects. Causal inference methods are particularly advantageous in controlling for confounding factors, thus holding great potential in environmental epidemiology research. Researchers can use appropriate causal inference methods to simulate the process of randomization, providing strong support for revealing the causal relationship between environmental exposure and health outcomes. However, there is a lack of reviews on the application of causal inference methods in environmental epidemiology studies in China. Therefore, this study introduced the basic principles of common causal inference statistical methods in environmental epidemiology, summarized the applicable conditions, advantages and disadvantages of various methods, and provided R software implementation codes for these methods, aiming to offer guidance for optimizing research design and practicing causal inference statistical methods.

Objective: To explore the application method and clinical efficacy of endoscopic and computerized navigation technology in maxillofacial foreign body removal surgery, and to provide a reference for the clinical application of this technology. Methods: This study, which was approved by the Medical Ethics Committee of the hospital, retrospectively analyzed the data of five patients with maxillofacial foreign bodies who were admitted to Sun Yat-sen Memorial Hospital, Sun Yat-sen University from January 2018 to December 2024. All patients underwent preoperative CT scanning. Intraoperatively, endoscopic and computer navigation techniques were used in combination or separately according to the location, size, and adjacency of the foreign body to important neurovascular vessels. The foreign body was precisely localized by endoscopic magnification and direct visualization, and the optimal surgical path was designed and verified under the real-time guidance of computerized navigation to accurately remove the foreign body. The type of foreign body, location, length and diameter, duration of surgery, length of incision, success rate of foreign body removal, postoperative complications, and follow-up were recorded and analyzed. Results: The foreign body was successfully removed in all five patients with a success rate of 100%. The intraoperative computerized navigation system was accurate in positioning, and the alignment stability was not significantly affected by mandibular movement; the endoscope provided good illumination and exposure of the operative field. All surgical incisions were small, and no serious complications, such as foreign body residue, important neurovascular injury, or infection, occurred after surgery. One month after the operation, the patients were followed up and recovered well. Conclusion The combination of endoscopy and computer navigation or separately assisted technology can provide a clear field and real-time positioning for maxillofacial foreign body removal, effectively avoiding important anatomical structures, thus realizing safe and complete foreign body removal with minimized trauma. This assistive technology significantly improves the accuracy and safety of the operation and has clinical promotion value.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

Objective To analyze the infection status and epidemic trends of soil-borne nematode infections in Yubei, Chongqing City, in 2010,2021, and 2022. Methods The local populations from four survey sites of four towns in 2010 and five sites of five towns in 2021 and 2022 were surveyed regarding their basic information using a unified form. Fecal samples of the participants were collected and tested for soil-borne nematode infections using the modified Kato-Katz thick smear method. Results In 2010, 2 049 participants were surveyed, followed by 1 000 participants in 2021 and 2022. The overall prevalence of parasitic infections declined significantly from 3.86% to 0.20%. In 2010, soil-transmitted nematode included hookworms(3.81%) and roundworms(0.29%). In 2021, the infection rates of roundworms and hookworms were 1.70% and 0.10% respectively. Notably, only Ascaris was identified in 2022(0.20%). The≥60 age group consistently exhibited the highest infection rates across all surveys, followed by the 40-59 age group. The infection rates of males in the three surveys were 3.31%,1.92%, and 0.20% respectively, and those of females were 4.37%, 1.46%, and 0.20% respectively. There was no statistically significant difference in the infection rates between males and females. Educational attainment was inversely associated with infection; in 2010, the highest prevalence was observed among those with primary education or below, whereas in 2021, illiterate or semi-literate individuals showed the highest susceptibility. The occupational distribution of infections in 2010 indicated that retirees (8.33%), farmers(4.86%), and homemakers or unemployed individuals(3.45%)were the most affected. However, in 2021 and 2022, farmers emerged as the predominant occupational group with soil-transmitted nematode infections. Conclusions The infection rate of soil-borne nematodes showed a decreasing trend in Yubei, and the infection species changed from hookworms in 2010 to Ascaris in 2022. Farmers, the elderly, and people with low education levels should continue to be the focus of preventive and control efforts.

ObjectiveTo evaluate the diagnostic value of cone-beam computed tomography （CBCT） arthrography for temporomandibular joint disc perforation. MethodsA retrospective analysis was conducted on patients who were clinically diagnosed with temporomandibular joint osteoarthrosis （TMJOA） and underwent CBCT arthrography and open surgery between December 2013 and January 2023. The diagnostic results of CBCT arthrography were compared with the gold standard of open surgical exploration to determine the number of true and false positive and negative cases， thereby evaluating the overall accuracy of CBCT arthrography in diagnosing disc perforation. ResultsA total of 90 patients （106 joints） met the inclusion criteria of this study， including 10 males with an average age of 36.4 years and 80 females with an average age of 42.6 years. Among them， 74 joints exhibited unilateral lesions （82.22%）， and 16 joints exhibited bilateral lesions （17.78%）. Among these， 94 joints （88.68%） showed good contrast medium visualization， while 12 joints （11.32%） showed poor contrast medium visualization. CBCT arthrography clearly diagnosed disc perforation in 75 joints （70.75%）， and surgical exploration confirmed perforation in 75 joints. In 5 cases， poor contrast medium visualization was observed， and the imaging diagnosis suggested possible perforation， with surgical exploration confirming perforation in 5 cases； the true positive rate of imaging diagnosis was 100%. CBCT arthrography clearly diagnosed the absence of disc perforation in 19 joints （17.92%）， and surgical exploration confirmed the absence of perforation in 19 joints， with a true negative rate of 73.08%. In 7 cases， poor contrast medium visualization was observed， and the imaging results did not report disc perforation， but surgical exploration revealed perforation in 7 cases， with a false negative rate of 26.92%. ConclusionsCBCT arthrography demonstrates high diagnostic accuracy for temporomandibular joint disc perforation and may provide reliable imaging evidence for clinical decision-making.

ObjectiveTo evaluate the diagnostic value of droplet digital PCR （ddPCR） for detecting Candida infections in critically ill patients.MethodsA ddPCR assay for Candida detection was established and optimized， including design of primers and probes， optimization of PCR reaction， and validation of analytical specificity and cutoff threshold. Clinical specimens were analyzed by ddPCR and fungal culture in parallel to assess clinical performance and reliability.ResultsThe ddPCR assay demonstrated high analytical specificity for Candida detection. The sensitivity and specificity of ddPCR for detecting Candida in clinical samples were 0.583 （95%CI： 0.433， 0.721） and 0.962 （95%CI： 0.924， 0. 982）. The ddPCR detection results were consistent with the fungal culture results （Kappa=0.604， P<0.05）. The total assay time for ddPCR was approximately 7 hours， substantially shorter than conventional fungal culture.ConclusionThe ddPCR assay provides reliable and rapid detection of Candida in critically ill patients with markedly reduced turnaround time compared with conventional culture. Given its high specificity and operational efficiency， the ddPCR-based method holds significant potential for clinical implementation as a complementary diagnostic tool.

ObjectiveTo explore the effects of electroacupuncture at governor vessel or Jiaji acupoints on the activation of lumbar spinal cord neurons and the recovery of motor function in paralyzed hind limbs in rats with complete transection of spinal cord injury. MethodsTwenty adult female SD rats were selected. Among them， 15 rats underwent the complete transection of the 10th thoracic spinal cord and were randomly divided into the Control group， the electroacupuncture at governor vessel acupoints （GV） group and the electroacupuncture at Jiaji acupoints （JJ） group， with 5 rats in each group. The other 5 rats served as the Normal group. Electroacupuncture treatment was initiated 3 days after surgery in the GV and JJ groups and performed every other day. Basso-Beatti-Bresnahan （BBB） behavioral score was evaluated weekly. Eight weeks after the operation， cortical motor evoked potential （CMEP） detection was performed， followed by perfusion fixation， tissue harvest， frozen sectioning， and immunofluorescence staining experiments. Results① Both electroacupuncture treatments activated the expression of the excitatory marker c-Fos in L1 spinal cord neurons. The c-Fos⁺ activated neurons were mainly distributed in lamina Ⅳ， Ⅴ and Ⅶ of the L1 spinal cord， while no c-Fos⁺ neuron was observed in the Normal group and the Control group. The percentages of c-Fos⁺ neurons activated by electroacupuncture in the GV group and the JJ group were （10.23±0.15） % and （10.77±1.12） %， respectively， and there was no significant difference between the two electroacupuncture groups. ② vGluT1⁺ proprioceptive afferent nerve fibers were mainly distributed in the dorsal horn and lamina Ⅶ of intermediate zone of L1 spinal cord gray matter. In the dorsal horn of L1 spinal cord， the relative fluorescence intensity of vGluT1⁺ nerve fibers in the GV group and the JJ group were greater than that in the Control group， and that in the JJ group was greater than that in the GV group. In the lamina Ⅶ in intermediate zone of L1 spinal cord， where the central pattern generator （CPG） for hindlimb rhythmic movement is located， the relative fluorescence intensity of vGluT1⁺ nerve fibers in the GV group and the JJ group were significantly higher than that in the Control group， and the JJ group was also higher than the GV group； The lamina Ⅶ neurons innervated by vGluT1⁺ axon terminals were activated to express the excitatory marker c-Fos in the GV group and the JJ group. ③ The immunofluorescence staining results of acetylcholinesterase （ChAT） in the ventral horn of L4 spinal cord of each group showed that the number of surviving ChAT⁺ motor neurons in the GV group （19.1±3.4， P=0.000 2） and JJ group （19.0±2.9， P=0.000 2） were higher than that in the Control group （9.9±1.9）. ④ The quantitative analysis of the vGluT2⁺ excitatory axonal terminals， vGAT⁺ inhibitory axonal terminals， and the ratio of vGluT2⁺/vGAT⁺ axonal terminals ［reflecting the excitation/inhibition （E/I） balance of motor neurons］ innervating ChAT⁺ motor neurons in the ventral horn of the L4 spinal cord revealed that all three indices were significantly higher in the GV and JJ groups than in the Control group. Moreover， the E/I ratio of motor neurons in the two electroacupuncture groups gradually reached the same level as normal and showed no statistical difference from the Normal group. ⑤ The electrophysiological and behavioral detection results showed that compared with the Control group， the latencies of CMEP in the GV group and the JJ group shortened， while their amplitudes increased. The BBB score of paralyzed hindlimbs showed that after 8 weeks of treatment， the scores of both the GV group （4.25±1.26， P=0.023 4） and the JJ group （4.75±0.96， P=0.000 2） were higher than those of the Control group （1.80±1.30）， but there was no statistical difference between the two electroacupuncture groups. ConclusionElectroacupuncture at GV or JJ acupoints may promote the afferent of vGluT1⁺ proprioceptive nerve fibers into the spinal cord， indicating the possibility to activate CPG neurons in lamina Ⅶ of L1 spinal cord； facilitate the survival of motor neurons in the L4 spinal cord and restore their excitatory/inhibitory balance， improving the motor function of the paralyzed hindlimbs in rats.

ObjectiveTo evaluate the diagnostic value of cone-beam computed tomography （CBCT） arthrography for temporomandibular joint disc perforation. MethodsA retrospective analysis was conducted on patients who were clinically diagnosed with temporomandibular joint osteoarthrosis （TMJOA） and underwent CBCT arthrography and open surgery between December 2013 and January 2023. The diagnostic results of CBCT arthrography were compared with the gold standard of open surgical exploration to determine the number of true and false positive and negative cases， thereby evaluating the overall accuracy of CBCT arthrography in diagnosing disc perforation. ResultsA total of 90 patients （106 joints） met the inclusion criteria of this study， including 10 males with an average age of 36.4 years and 80 females with an average age of 42.6 years. Among them， 74 joints exhibited unilateral lesions （82.22%）， and 16 joints exhibited bilateral lesions （17.78%）. Among these， 94 joints （88.68%） showed good contrast medium visualization， while 12 joints （11.32%） showed poor contrast medium visualization. CBCT arthrography clearly diagnosed disc perforation in 75 joints （70.75%）， and surgical exploration confirmed perforation in 75 joints. In 5 cases， poor contrast medium visualization was observed， and the imaging diagnosis suggested possible perforation， with surgical exploration confirming perforation in 5 cases； the true positive rate of imaging diagnosis was 100%. CBCT arthrography clearly diagnosed the absence of disc perforation in 19 joints （17.92%）， and surgical exploration confirmed the absence of perforation in 19 joints， with a true negative rate of 73.08%. In 7 cases， poor contrast medium visualization was observed， and the imaging results did not report disc perforation， but surgical exploration revealed perforation in 7 cases， with a false negative rate of 26.92%. ConclusionsCBCT arthrography demonstrates high diagnostic accuracy for temporomandibular joint disc perforation and may provide reliable imaging evidence for clinical decision-making.