Objective To evaluate the characteristics, classification, treatment methods, and cl inical outcomes of the spoke heel injuries in children. Methods From June 2001 to June 2008, 289 children with bicycle or motorcycle spoke heel injuries were treated, including 179 males and 110 females aged 2-12 years old (average 3.9 years old). There were 179 cases of skin contusion and laceration (type I), 83 cases of skin and soft tissue defect with Achilles tendon exposure (type II), and 27 cases of wide skin and soft tissue defect with the Achilles tendon defect and rupture (type III). The defect size of the skin or the soft tissues ranged from 3 cm × 2 cm to 11 cm × 7 cm in type II and type III injury. The time between injury and hospital admission was 1-53 days (average 14.5 days). Child patients with type I injury were managed with dressing or suturing after debridement. For the child patients with type II injury, the wound was repaired with the regional fascia flap in 53 cases, the reverse sural neurocutaneous vascular flap in 19 cases, the reverse saphenous neurocutaneous vascular flap in 9 cases, and the lateral supramalleolar flap in 2 cases. For the child patients with type III injury, 6 cases underwent primary repair of the Achilles tendon followed by the transposition of the reverse sural neurocutaneous vascular flap, 3 cases received primary repair of the wound with the reverse sural neurocutaneous vascular flap and secondary reconstruction of the Achilles tendon with the upturned fascia strip or the ipsilateral il iotibial tract transplant, and 18 cases underwent primary repair of the wound and the Achilles tendon with the sl iding bi-pedicled gastrocnemius musculocutaneous flap. The flap size ranged from 4 cm × 2 cm to 30 cm × 12 cm. All the donor sites were closed bypartial suture and spl it-thickness skins graft. The lower l imbs were immobil ized with plaster spl ints after operation. Results All the flaps survived except for 1 case of type II suffering from distal flap venous crisis 3 days after operation and 6 cases of type III suffering from distal flap necrosis 3-5 days after operation. All those flaps survived after symptomatic treatment. All the skin grafts at the donor site survived uneventfully. All the wounds healed by first intention. All child patients were followed up for 15-820 days (average 42 days). Child patients with type I and type II injury had a full recovery of ankle functions. While 25 cases of type III injury had ankle dorsal extension degree loss (10-30°) and unilateral plantar flexion strength decrease 3 months after operationwithout influence on walking, and 2 cases recovered well. Conclusion Spoke heel injury in children has special mec hanisms of injury, and the choice of proper treatment method should be based on the types of injury.
Objective To introduce a modified Sakakibara classification system for a ruptured sinus of Valsalva aneurysm （RSVA），and suggest different surgical approaches for corresponding types of RSVA. Methods Clinical data of 159 patients undergoing surgical repair for RSVA in Fu Wai Hospital between February 2006 and January 2012 were retrospectively analyzed. There were 105 male and 54 female patients with their age of 2-71 （33.4±10.7） years. All these patients were divided into 5 types as a modified Sakakibara classification system. Type I: rupture into the right ventricle just beneath the pulmonary valve （n=66），including 84.8% patients with ventricular septal defect （VSD） and 53.8% patients with aortic valve insufficiency （AI）. TypeⅡ：rupture into or just beneath the crista supraventricularis of the right ventricle （n=17），including 88.2% patients with VSD and 23.5% patients with AI. Type Ⅲ：rupture into the right atrium （typeⅢ a，n=21） or the right ventricle （typeⅢv，n=6） near or at the tricuspid annulus，including 18.5% patients with VSD and 25.9% patients with AI. TypeⅣ：rupture into the right atrium （n=46），including 23.9% patients with AI but no patient with VSD. TypeⅤ：other rare conditions，such as rupture into the left atrium，left ventricle or pulmonary artery （n=3），including 100% patients with AI and 33.3% patients with VSD. Most RSVA originated in the right coronary sinus （n=122），and others originated in the noncoronary sinus （n=35） or left coronary sinus （n=2）. Results All the type V patients （100%） and 50% patients with typeⅢv received RSVA repair through aortotomy. In most patients of typeⅠ，II andⅣ，repair was achieved through the cardiac chamber of the fistula exit （71.2%，64.7% and 69.6% respectively）. Both routes of repair were used in 76.2% patients with typeⅢ a. The cardiopulmonary bypass time （92.4±37.8 minutes） and aortic cross-clamp time （61.2±30.7 minutes） was the shortest to repair typeⅣRSVA. There was no in-hospital death in this group. Two patients （type I andⅡrespectively） underwent reoperation during the early postoperative period because of restenosis of the right ventricular outflow tract. Most patients received reinforcement patch for RSVA repair （n=149），and only 10 patients received simple suture repair （including 5 patients with typeⅣ，4 patients with typeⅢ a and 1 patient with typeⅡ）. Aortic valve replacement was performed for 33 patients （66.7% of those with typeⅠ）. A total of 147 patients （92.5%） were followed up after discharge. Two patients （type I andⅢ a respectively） developed atrial fibrillation and received radiofrequency ablation treatment，1 patient （typeⅣ） underwent reoperation for residual shunt，and there was no late death during follow-up. Conclusion Modified Sakakibara classification system for RVSA provides a guidance to choose an appropriate surgical approach，and satisfactory clinical outcomes can be achieved for all types of RSVA.
Objective To recognize the different phases of Korotkoff sounds through deep learning technology, so as to improve the accuracy of blood pressure measurement in different populations. Methods A classification model of the Korotkoff sounds phases was designed, which fused attention mechanism (Attention), residual network (ResNet) and bidirectional long short-term memory (BiLSTM). First, a single Korotkoff sound signal was extracted from the whole Korotkoff sounds signals beat by beat, and each Korotkoff sound signal was converted into a Mel spectrogram. Then, the local feature extraction of Mel spectrogram was processed by using the Attention mechanism and ResNet network, and BiLSTM network was used to deal with the temporal relations between features, and full-connection layer network was applied in reducing the dimension of features. Finally, the classification was completed by SoftMax function. The dataset used in this study was collected from 44 volunteers (24 females, 20 males with an average age of 36 years), and the model performance was verified using 10-fold cross-validation. Results The classification accuracy of the established model for the 5 types of Korotkoff sounds phases was 93.4%, which was higher than that of other models. Conclusion This study proves that the deep learning method can accurately classify Korotkoff sounds phases, which lays a strong technical foundation for the subsequent design of automatic blood pressure measurement methods based on the classification of the Korotkoff sounds phases.
Thoracolumbar fractures are common injuries. Accurate diagnosis and classification are of great significance for guiding treatment. Although there are many classification systems, they have not been universally accepted and used to guide clinical practice. Denis classification, load sharing classification, Magerl/AO classification, and Thoracolumbar Injury Classification and Severity Score have a great clinical influence, but they also have some shortcomings. Recently, some new classifications of thoracolumbar fractures have been proposed, and some of them have been updated and revised, which makes it easy to cause confusion, and puts forward new requirements on how to grasp and apply these classification systems. This article reviews the main and commonly used classification systems of thoracolumbar fractures, discusses the main viewpoints, advantages and disadvantages of each classification system, and looks ahead to the future research direction.
ObjectiveTo explore the effect of a new rehabilitation intervention model based on International Classification of Functioning, Disability and Healthy (ICF) concept in perioperative treatment on patients with adolescent idiopathic scoliosis (AIS).MethodsFrom June 2017 to January 2019, AIS patients with Cobb angle below 80° were randomly divided into experimental group and control group by the method of randomized block design. The patients in the control group received routine perioperative rehabilitation intervention, while the patients in the experimental group received rehabilitation mode intervention based on ICF concept. The therapeutic effect of the two groups including functional and activity dimensions was observed.ResultsA total of 40 patients were included, with 20 in each group. Two patients withdrew the control group. On the fourth day after surgery, the total score of Modified Barthel Index (50.55±8.87 vs. 18.99±5.63; t=13.264, P<0.001) and Scoliosis Research Society-22 (SRS-22) (3.68±0.13 vs. 3.27±0.11; t=10.355, P<0.001) in the experimental group were all better than those in the control group. In the SRS-22 scores, statistically significant differences in comparison of function (2.79±0.29 vs. 1.90±0.48; t=6.884, P<0.001), and self image (3.91±0.27 vs. 3.38±0.32; t=5.539, P<0.001) between the two groups were found. There was no statistically significant difference in pain indicators and muscle strength between the two groups in the two postoperative evaluations (P>0.05). ConclusionsThe treatment based on the concept of ICF can improve the daily living ability in the short term with the safe and acceptable premise. The concept of stimulating patient autonomy, improving patient independence, and promoting social treatment, may improve the overall state of the patients.
One hundred and thirty patients with uveitis in north-western zone of our country were analyzed based on anatomical classification and their causes. It was found that anterior uveitis was the commonest type in uveitis,accounting for 86.15% of total patients. Intermediate uveitis, pan-uveitis and posterior uveitis accounted repectively for 6.92%, 3.85%and3.08% of the total patients. Rheumatic arthritis was the most frequently accompanied systemic disease in patients with uveitis,showing a possibly causative link between them in their pathogenesis. （Chin J Ocul Fundus Dis,1994,10:156-158）
Objective To study the anatomy and variations of hepatic veins draining into inferior vena cava （IVC）， and to classify the surgical techniques of piggyback liver transplantation （PBLT） based on the view of hepatic veins anatomy with IQQA liver image analysis system so as to provide the important basis for the perioperative clinical decision making. Methods Two hundred and forty-eight cases of PBLT were preformed in the Zhongnan Hospital of Wuhan University and the 3rd Xiangya Hospital of Central South University from May 2000 to August 2007， the types of hepatic veins were summarized according to the anatomy of hepatic veins and short hepatic veins draining into IVC at the second and third hepatic hilars. Forty cases of PBLT were preformed in the Zhongnan Hospital of Wuhan University from March 2010 to April 2013， and the anatomy of hepatic veins was reviewed with IQQA liver image analysis system. The anatomy of hepatic veins and technological type of liver transplantation were recorded respectively. Results Of these 248 livers studied in our center， type Ⅰ（the left and middle hepatic vein joined as one trunk ） was found in 142 cases （57.25%）， type Ⅱ （the right and middle hepatic vein joined as one trunk） was 54 cases （21.77%）， type Ⅲ （three hepatic veins joined as one trunk） in 14 cases （5.64%）， type Ⅳ （the left， middle， and right hepatic veins were all unique）in 34 cases （13.71%）， and type Ⅴ （no hepatic veins but short hepatic veins） in 4 cases （1.61%）. The data of 40 cases of PBLT from IQQA liver image analysis system showed that type Ⅰwere found in 24 cases （60.00%）， type Ⅱin 9 cases（22.50%）， type Ⅲ in 2 cases （5.00%）， type Ⅳ in 4 cases （10.00%）， and type Ⅴ in 1 case （2.50%）， which were matched with hepatic vein classification standard of the author. Conclusions Studying the anatomy and variations of hepatic veins draining into IVC with IQQA liver image analysis system and classifying the surgical techniques of PBLT （type Ⅰ，Ⅱ，Ⅲ，andⅣA patients can be performed classical PBLT；Type ⅣB and Ⅴ patients can only be performed ameliorative PBLT） could provide an important basis for clinical preoperative decision.
Electrocardiogram (ECG) signal is an important basis for the diagnosis of arrhythmia and myocardial infarction. In order to further improve the classification effect of arrhythmia and myocardial infarction, an ECG classification algorithm based on Convolutional vision Transformer (CvT) and multimodal image fusion was proposed. Through Gramian summation angular field (GASF), Gramian difference angular field (GADF) and recurrence plot (RP), the one-dimensional ECG signal was converted into three different modes of two-dimensional images, and fused into a multimodal fusion image containing more features. The CvT-13 model could take into account local and global information when processing the fused image, thus effectively improving the classification performance. On the MIT-BIH arrhythmia dataset and the PTB myocardial infarction dataset, the algorithm achieved a combined accuracy of 99.9% for the classification of five arrhythmias and 99.8% for the classification of myocardial infarction. The experiments show that the high-precision computer-assisted intelligent classification method is superior and can effectively improve the diagnostic efficiency of arrhythmia as well as myocardial infarction and other cardiac diseases.
Alzheimer’s disease (AD) is an irreversible neurodegenerative disorder that damages patients’ memory and cognitive abilities. Therefore, the diagnosis of AD holds significant importance. The interactions between regions of interest (ROIs) in the brain often involve multiple areas collaborating in a nonlinear manner. Leveraging these nonlinear higher-order interaction features to their fullest potential contributes to enhancing the accuracy of AD diagnosis. To address this, a framework combining nonlinear higher-order feature extraction and three-dimensional (3D) hypergraph neural networks is proposed for computer-assisted diagnosis of AD. First, a support vector machine regression model based on the radial basis function kernel was trained on ROI data to obtain a base estimator. Then, a recursive feature elimination algorithm based on the base estimator was applied to extract nonlinear higher-order features from functional magnetic resonance imaging (fMRI) data. These features were subsequently constructed into a hypergraph, leveraging the complex interactions captured in the data. Finally, a four-dimensional (4D) spatiotemporal hypergraph convolutional neural network model was constructed based on the fMRI data for classification. Experimental results on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database demonstrated that the proposed framework outperformed the Hyper Graph Convolutional Network (HyperGCN) framework by 8% and traditional two-dimensional (2D) linear feature extraction methods by 12% in the AD/normal control (NC) classification task. In conclusion, this framework demonstrates an improvement in AD classification compared to mainstream deep learning methods, providing valuable evidence for computer-assisted diagnosis of AD.
Purpose To analyse the maculopathy in 597 eyes of 317 cases with diabetic retinopathy,and to explore the classification and visual prognosis. Methods Using fluorescein angiography to examine the extend of capillary leakage and foveal avascular zone as well as the extent of the capillary closure in macular area. Results ①Diabetic maculopathy was divided into 5 types,among 597 eyes,no leakage type 154 eyes (25.8%),focal edema type 188 eyes(31.5%),diffuse edema type (including cystoid edema)231 eyes(40.0%),ischemic type 12 eyes(2.0%) and proli ferative type was 4 eyes(0.7%).② There is close relationship between the classification and visual prognosis.such as when visual acuity was ge;0.5,no leakage type was 99.4%, focal edema type was 83.0%,diffuse edema type was 28.4%,ischemic type was 8.4%,and proliferative type was 0.5%.the visual acuity of cystoid edema was worse than diffuse edema only 20.3%.③The stage and visual prognosis:The higher the stage the worse the visual prognosis.if visual acuityge;0.5, 1 stage in 96.2% eyes,2 stage in 84.8%,3 stage in 53.2%,4 stage in 37.2%,5 stage in 12.5%. Conclusion Diabetic maculopathy is the main cause of visual impairment in diabetic retinopathy. Different type has different visual prognosis.macular edema and cystoid edema are the main factors to decrease visual acuity and could be treated by focal and grid laser photocoagulation to prevent visual loss. (Chin J Ocul Fundus Dis,2000,16:144-146)