Objective:To assess the prognostic impact of the thoracic aorta and aortic valve calcification volume (TAC, AVC) score based on CT measurementsin patients undergoing transcatheter aortic valve implantation (TAVI).Methods:We retrospectively analyzed 102 patients who underwent TAVI for severe aortic stenosis from March 2018 to April 2022 at Fuwai Central China Cardiovascular Hospital. The patients were stratified into low TAC and AVC group (TAC low, AVC low) and high TAC and AVC group (TAC high, AVC high) based on median TAC and AVC. The independent risk factors affecting the prognosis of TAVI patients were analyzed using univariate and multivariate Cox proportional risk regression, and the independent risk factors affecting the prognosis of TAVI were analyzed by survival curve. Results:A total of 102 patients were included with a median follow-up of 695 (602, 923) days, during which 9 (8.8%) all-cause deaths and 33 (32.4%) composite end-point events occurred. Univariate Cox risk regression analysis found that TAC was a risk factor for all-cause mortality events in TAVI patients ( P=0.039), TAC and AVC were risk factors for composite endpoint events in TAVI patients ( P=0.047, 0.035).TAC was an independent predictor of all-cause mortality after TAVI in multivariate analysis ( HR=8.971, 95% CI 1.121-71.790, P=0.039), and TAC and AVC were independent risk factors for composite endpoint events after TAVI ( HR=2.243, 95% CI 1.099-4.578, P=0.026; HR=2.346, 95% CI 1.146-4.804, P=0.020). Kaplan-Meier survival curves showed that high TAC and AVC scores increased the risk of end-point events ( P<0.05). Conclusion:CT-quantified TAC and AVC volume scores are independent prognostic markers in TAVI patients, with greater calcification burden portending poorer clinical outcomes.

The types and prognosis of thyroid diseases in children are different from those in adults. Since the screening of congenital hypothyroidism in newborns，many kinds of the thyroid diseases with genetic defects in thyroid hormone production or action have been diagnosed and treated in newborn and infancy period. However，autoimmune and tumor related thyroid diseases in children may have typical clinical manifestations and can be diagnosed during the growth and development. Thyroid function plays a role in the nervous system and growth development of children，therefore screening，early diagnosis，and treatment of thyroid diseases in children outside of the neonatal period are equally important. This article reviews the recent advance in the types，causes，pathogenesis，clinical manifestations，diagnosis，and treatment of common thyroid diseases in children，in order to enhance the awareness of childhood thyroid diseases in clinical physicians.

Objective:To achieve the conversion from dual-energy cone-beam CT (DECBCT) at the kilovolt (KV) level to projections at the megavolt (MV) level using an improved CycleGAN network, in order to provide a potential reference benchmark and real-time monitoring of in vivo doses delivered by exit beams for the safe implementation of advanced techniques such as online adaptive radiotherapy. Methods:Simulated patient data were generated using a 4D extended cardiac torso (XCAT) model, and projections were generated based on the geometric parameters of Varian′s onboard cone-beam CT. Furthermore, relative electron density (RED) images were derived from DECBCT images using an iterative dual-energy decomposition algorithm. The SE-CycleGAN and CycleGAN networks were trained to generate MV projection images using DECBCT projections and RED images, respectively. The performance of both methods was evaluated using metrics including structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), and root mean square error (RMSE).Results:SE-CycleGAN significantly outperformed CycleGAN in all evaluation metrics ( Z = -23.92, -26.17, -25.54, -26.80, -11.54, -11.21, P<0.05), particularly in learning global information. Besides, although both methods generated satisfactory MV projections, training using DECBCT projections as input yielded better effects than training using RED images. For all the 3 636 sets of projections in the test set, the SE-CycleGAN and CycleGAN networks using DECBCT projections as input respectively yielded SSIMs of 0.997 7±0.000 7 and 0.997 1±0.001 6, PSNRs of 39.625 0±4.684 4 and 36.272 2±5.566 3, and RMSEs of 0.004 1±0.002 7 and 0.006 3±0.0043, respectively. In contrast, the SE-CycleGAN and CycleGAN networks using RED projections as input respectively yielded SSIMs of 0.996 8±0.001 0 and 0.996 2±0.001 5, PSNRs of 38.548 7±3.637 4 and 36.007 3±4.437 8, and RMSEs of 0.004 3±0.002 2 and 0.006 1±0.0037, respectively. Conclusions:This study proposed a new method to establish reference benchmarks for in vivo dose monitoring based on DECBCT and deep learning technologies. This method is accurate and effective according to the preliminary validation using virtual simulation experiments.

Objective:To compare the efficacy of pars plana vitrectomy (PPV) combined with subretinal or intravitreal injection of Conbercept for the treatment of refractory diabetic macular edema (DME).Methods:A retrospective case control study. From June 2022 to March 2024, 32 eyes of 32 patients with refractory DME diagnosed at The Affiliated Eye Hospital of Nanchang University were included in the study. There were 17 male cases with 17 eyes and 15 female cases with 15 eyes. Age was (57.44±8.99) years old; The duration of diabetes was (12.72±6.11) years. All patients had received regular treatment with anti-vascular endothelial growth factor (VEGF) drugs or corticosteroid drugs for at least 5 times, and had undergone focal retinal laser photocoagulation or panretinal laser photocoagulation, the central macular thickness (CMT) persisted or decreased by less than 50 μm. All affected eyes underwent best-corrected visual acuity (BCVA), intraocular pressure, optical coherence tomography (OCT), microperimetry, and laboratory glycated hemoglobin (HbA1c) testing. BCVA was measured using a standard logarithmic visual acuity chart, and converted to the logarithm of the minimum angle of resolution (logMAR) for statistical analysis. CMT was measured using an OCT device. Microperimetry was performed using an MP-3 microperimeter, recording the mean sensitivity (MS) of the retina within a 12° range of the fovea. The affected eyes were treated with 23G PPV combined with internal limiting membrane peeling and either macular subretinal or intravitreal injection of Conbercept, and were divided into subretinal injection group and the intravitreal injection group, each consisting of 16 cases and 16 eyes. The same equipment and methods as before surgery were used for related examinations at 1, 3, and 6 months post-surgery. Changes in BCVA, CMT, and MS were observed and compared, as well as the number of additional anti-VEGF treatments required within 6 months after surgery. Intergroup comparisons were made using independent samples t tests, and repeated measures data were analyzed using repeated measures analysis of variance. Results:The age ( t=-0.271), gender composition ( χ2=0.001), duration of diabetes ( Z=-0.868), HbA1c ( t=-0.789), intraocular pressure ( t=1.689), logMAR BCVA ( t=1.393), CMT ( t=-0.613), MS ( Z=-0.132), and the number of anti-VEGF injections ( t=-0.752) between the subretinal injection group and the intravitreal injection group showed no statistically significant differences ( P>0.05). The within-subject effects comparison of BCVA, CMT, and MS at 1, 3, and 6 months post-surgery compared to pre-surgery for all affected eyes showed statistically significant differences ( F=8.060, 125.722, 39.054; P<0.05). The overall comparison of logMAR BCVA between the subretinal and intravitreal injection groups post-surgery showed no statistically significant difference ( F=0.662, P=0.422), however, comparisons of CMT ( F=4.540) and MS ( F=6.066) showed statistically significant differences ( P<0.05). At 1, 3, and 6 months post-surgery, comparisons of logMAR BCVA between the two groups showed no statistically significant differences ( t=-0.123, 0.239, 1.087; P>0.05), comparisons of CMT showed statistically significant differences ( t=-3.474, -4.832, -2.482; P<0.05), comparisons of MS showed statistically significant differences at 1 and 3 months ( t=-2.940, -2.545; P<0.05), but not at 6 months ( t=-1.527, P>0.05). At 6 months post-surgery, the number of additional intravitreal anti-VEGF injections required in the subretinal and intravitreal injection groups showed a statistically significant difference ( Z=-2.033, P=0.042). During the follow-up period and at the final follow-up, no complications such as injection site bleeding, retinal detachment, vitreous hemorrhage, macular hole, or retinal pigment epithelial tear or atrophy occurred in all affected eyes. Conclusion:Compared with intravitreal injection, subretinal injection of Conbercept for the treatment of refractory DME has more advantages in reducing macular edema and improving visual function in the macular area, and also reduces the number of postoperative anti-VEGF drug treatments.

Objective:To propose a functional method for locating the shoulder joint center of rotation aimed at rapid estimation of the upper limb reachable domain envelope, thereby informing ergonomic design and task optimization.Methods:In March 2024, shoulder kinematics during gait were recorded from ten adults using a three-dimensional motion-capture system. Assuming the existence of a point near the glenohumeral joint that maintains a fixed spatial relationship to the humerus and the acromion, we estimated both static and dynamic centers of rotation. Localization accuracy was quantified by the standard deviation of distance residuals to upper-arm markers. Upper-limb joint angles and anthropometric parameters were modeled via regression; combined with maximal joint ranges of motion, these were used to infer the reachable domain envelope.Results:The static center of rotation was located approximately twenty-two millimeters medial to the acromial landmark in the coronal plane and thirty-seven millimeters inferior to it. The standard deviation of the residuals for the distances from the dynamic shoulder joint center of rotation to upper-arm markers averaged 1.02 mm, which was 47.42% lower than that of the static center of rotation and 66.56% lower than that of the acromion. Moreover, the trajectory of this dynamic center showed a strong correlation with upper-limb joint angles ( R2>0.7) . Conclusion:The proposed method enables rapid and accurate estimation of the upper limb reachable domain envelope to support ergonomic design and may help reduce the risk of work-related musculoskeletal disorders.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

Objective: To understand the distribution characteristics of high-risk populations for chronic obstructive pulmonary disease (COPD) among residents aged ≥40 years in Inner Mongolia Autonomous Region, so as to provide a basis for comprehensive prevention and control of COPD. Methods: A multi-stage stratified cluster random sampling method combined with probability proportional to size sampling was used to select residents aged ≥40 years from May to December 2019 in 4 monitoring sites in Inner Mongolia Autonomous Region for a questionnaire survey. Information on demographics, current or past smoking, severe respiratory infections in childhood, exposure to occupational harmful factors, exposure to indoor polluting fuels, chronic respiratory symptoms, personal history of chronic respiratory diseases, and family history of chronic respiratory diseases was collected. The distribution characteristics of high risk populations of COPD and high-risk factors were analyzed. Results: A total of 2 302 people were surveyed, including 1 234 males (53.61%) and 1 068 females (46.39%). The mean age was (57.87±8.67) years. A total of 2 114 people (91.83%) were exposed to at least one high-risk factor. The exposure rate of risk factors was 87.88%. There were significant differences in the exposure rates of risk factors among residents of different genders, ages, residence, and occupations (all P<0.05). The exposure rate was higher in males than in females, higher in the 50-60 years than in the 60-<70 years, higher in rural areas than in urban areas, and higher among those engaged in agriculture, forestry, animal husbandry, fishery, and water conservancy than among national enterprise clerks, professional and technical personnel, and retirees (all P<0.05). The prevalence of chronic respiratory symptoms was 14.73%. There were significant differences in the prevalence of chronic respiratory symptoms among residents of different residence and occupations (all P<0.05). The prevalence was higher in rural areas than in urban areas, and higher among those engaged in agriculture, forestry, animal husbandry, fishery, and water conservancy than among retirees (all P<0.05). The exposure rate of personal history of chronic respiratory diseases was 10.90%. There were significant differences in the exposure rate of personal history of chronic respiratory diseases among residents of different educational levels, residence, and occupations (all P<0.05). The exposure rate was higher among those with primary education or below and junior high school education than among those with high school education or above, higher in rural areas than in urban areas, and higher among those engaged in agriculture, forestry, animal husbandry, fishery, and water conservancy than among retirees (all P<0.05). The exposure rate of family history of chronic respiratory diseases was 22.85%. The exposure rate was higher in rural areas than in urban areas (P<0.05). Among residents exposed to risk factors, the exposure rate of current or past smoking was 38.84%, the exposure rate of severe respiratory infections in childhood was 2.13%, the exposure rate of occupational harmful factors was 44.27%, and the exposure rate of indoor polluting fuels was 60.12%. The exposure rates of current or past smoking and occupational harmful factors were higher in males and rural residents (all P<0.05). Conclusions The proportion of high-risk populations for COPD among residents aged ≥40 years in Inner Mongolia Autonomous Region is relatively high. It is recommended to strengthen health education for male residents, rural residents, and those engaged in agriculture, forestry, animal husbandry, fishery, and water conservancy, and to adopt comprehensive prevention and control strategies to reduce the exposure level of risk factors among residents.

Objective To develop a three-compartment kinetic fatigue model for the isometric muscle endurance of the hip,knee,and ankle joints at 50％IPT(isometric peak torque),so as to provide a theoretical basis for simulation-based assessments and load evaluations in biomechanics and sports science.Methods The IPT of the hip,knee,and ankle joints was measured in 40 male university students.Isometric endurance tests were then performed on all three joints at 50％IPT until exhaustion.Electromyography data and endurance time(ET)of major lower limb muscles were collected concurrently.The differences between ETs predicted by models based on previously recommended F and R parameters and actual ETs were analyzed.Subsequently,experimental ETs were used in a grid search to optimize Fand R parameters,allowing for the development of an accurate three-compartment kinetic model.Results The ET of the hip and ankle joints was significantly longer than that of the knee joint(P＜0.001).Models using previously recommended Fand R parameters overestimated ET,with significantly higher predicted values than experimentally measured ET(P＜0.001),as well as elevated root mean squared error(RMSE)and mean relatvie error(MRE)values.The grid search successfully identified Fand R parameters for the three-compartment model in isometric endurance tests of lower limb joints,with no statistical difference between model-predicted ET and experimental ET(P＞0.05).Conclusions The developed model in this study can serve as an indirect measurement tool for evaluating load in similar activities.

Objective:To exploring the value of MR neuroimaging for quantitative assessment of the facial nerve and peripheral lymph nodes in patients with acute peripheral facial paralysis. Methods:Based on a prospective experimental design, 32 patients with idiopathic peripheral facial palsy were enrolled in the experiment. Based on MR neuroimaging technology, MR high-resolution thin-layer images of bilateral facial nerves were acquired. The diameters of different segments of the bilateral facial nerve were measured, including the labyrinthine segment, the geniculate ganglion, the horizontal segment, the vertical segment, the stem-mammary foramen segment, the trunk of the parotid segment, the temporal trunk, and the cervical trunk, as well as the quantitative indicators of peri-auricular and parotid lymph nodes（number, length and diameter of the largest lymph nodes）. Differences in quantitative indices of nerve diameter and peripheral lymph nodes between the paraplegic and healthy sides were compared using the paired t-test and Wilcoxon signed rank test. Results:The diameter of geniculate ganglion, mastoid foramen stem, parotid main trunk, temporal facial trunk, and cervical facial trunk were notably increased on the facial paralysis side compared to the contralateral side（P<0.05）. However, no significant differences were observed in the diameter of labyrinthine segment, horizontal segment, or vertical segment compared to the contralateral side. There were significantly more periauricular lymph nodes on the facial paralysis side than the contralateral side（P=0.001）. Conclusion:MR neuroimaging enables the quantitative assessment of structural changes in the facial nerve of patients with acute peripheral facial paralysis, demonstrating nerve enlargement in the geniculate ganglion, stylomastoid foramen segment, main trunk of the parotid segment, temporal facial trunk, and cervical facial trunk. Additionally, an increased number of periauricular lymph nodes is observed on the affected side. These findings may aid clinicians in assessing the efficacy of treatments and predict the prognosis of these patients.
Humans ; Facial Nerve/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Prospective Studies ; Female ; Male ; Neuroimaging/methods* ; Lymph Nodes/diagnostic imaging* ; Facial Paralysis/diagnostic imaging* ; Adult ; Middle Aged