Analgesia ; Child ; China ; Conscious Sedation ; Critical Care ; Humans ; Intensive Care Units, Pediatric

We present a case of a 53-year-old woman who developed multifocal insufficiency fractures associated with adefovir dipivoxil (ADV) induced osteomalacia, including recurring metatarsal insufficiency fractures and a subtrochanteric femoral insufficiency fracture requiring surgical fixation. She had received low-dose ADV treatment for 59 months for chronic hepatitis B viral infection at the time of presentation with subtrochanteric fracture. Imaging evidence of multifocal insufficiency fractures and metabolic disease on background of hypophosphatemia is attributed to hypophosphatemic osteomalacia from adefovir-induced renal proximal tubular dysfunction. Radiologists and clinicians should be aware of the possibility of insufficiency fractures in patients receiving ADV therapy to avoid delayed diagnosis and progression of high-risk proximal femoral fractures.
Osteomalacia

Objective To observe the effect of artemether in the control of prevalence and acute infection of Schistosoma japonicum in humans in high endemic areas. Methods During the transmission season (May-October), the residents in the pilot village took artemether with a 15- day interval to prevent the infection of S. japonicum. Results By the end of the transmission season, the egg positive rate was 0.83% and no acute case occurred in the artemether group, while 15.01% and 3 acute cases were observed in the placebo group. Conclusions Oral administration of artemether at a 15-day interval shows an effective protection from infection of S. japonicum, with a protection rate of 94.47% in residents of a high endemic area and it also shows marked effect to prevent acute schistosomiasis.

Ziel: Evaluation der Effektivit?t verschiedener Methodiken der TACE im tierexperimentellen Modell des hepatozellul?ren Karzinoms. Material und Methoden: Bei m?nnlichen ACI-Ratten (n=58) erfolgte die Implantation eines soliden Morris Hepatom 3924A (1 mm3) subkapsul?r in den Leberlappen. 12—14 Tage nach Implantation wurden die Tumorvolumina kernspintomographisch bestimmt. Nach Laparotomie und retrograder Katheterisierung der Arteria gastroduodenalis wurden anschlieend unterschiedliche Therapieprotokolle der TACE angewendet: (A) Mitomycin C (n=4), (B) Degradiere St?rke Mikrosph?ren (DSM) (n=4), (C) Mitomycin C+DSM (n=4), (D) Mitomycin C + Ligatur (n=5), (E) Mitomycin C+Lipiodol (n=5), (F) Mitomycin C+Lipiodol+Ligatur (n=4), (G) Mitomycin C+DSM+Ligatur (n=4), (H) Mitomycin C+Poly-Laktide-co-Glykolide (PLcG) (n=4), (I) DSM + Ligatur (n=4), (J) Lipiodol + Ligatur (n=4), (K) Ligatur (n=4), (L) Lipiodol (n=5), (M) 0,9% NaCl (Kontrollgruppe, n=7). Zur Effektivit?tsbeurteilung der verschiedenen Methodiken erfolgte 12—14 Tage nach Therapie eine erneute kernspintomographische Volumenbestimmung der Tumoren. Ergebnisse: Im Vergleich zur Kontrollgruppe zeigten Gruppe D, E, F, G, H und J eine statistisch signifikant (P<0.05) geringere Tumorvolumenzunahme, w?hrend Gruppe A, B, C, I, K, L keine statistisch signifikanten Unterschiede hinsichtlich der Tumorvolumenzunahme zeigten. Schlufolgerung: Die Effektivit?t der TACE im tierexperimentellen Modell des hepatozellul?ren Karzinoms wird nur bei kombinierter Applikation von Zytostatikum und Carrier/Ligatur signifikant erhoht. Die alleinige Applikation des Zytostatikums/der Carrier/Ligatur hatte keinen signifikanten Effekt bezuglich der Effektivit?t.

Ziel: Evaluation der Effektivit?t verschiedener Methodiken der TACE im tierexperimentellen Modell des hepatozellul?ren Karzinoms. Material und Methoden: Bei m?nnlichen ACI-Ratten (n=58) erfolgte die Implantation eines soliden Morris Hepatom 3924A (1 mm3) subkapsul?r in den Leberlappen. 12—14 Tage nach Implantation wurden die Tumorvolumina kernspintomographisch bestimmt. Nach Laparotomie und retrograder Katheterisierung der Arteria gastroduodenalis wurden anschlieend unterschiedliche Therapieprotokolle der TACE angewendet: (A) Mitomycin C (n=4), (B) Degradiere St?rke Mikrosph?ren (DSM) (n=4), (C) Mitomycin C+DSM (n=4), (D) Mitomycin C + Ligatur (n=5), (E) Mitomycin C+Lipiodol (n=5), (F) Mitomycin C+Lipiodol+Ligatur (n=4), (G) Mitomycin C+DSM+Ligatur (n=4), (H) Mitomycin C+Poly-Laktide-co-Glykolide (PLcG) (n=4), (I) DSM + Ligatur (n=4), (J) Lipiodol + Ligatur (n=4), (K) Ligatur (n=4), (L) Lipiodol (n=5), (M) 0,9% NaCl (Kontrollgruppe, n=7). Zur Effektivit?tsbeurteilung der verschiedenen Methodiken erfolgte 12—14 Tage nach Therapie eine erneute kernspintomographische Volumenbestimmung der Tumoren. Ergebnisse: Im Vergleich zur Kontrollgruppe zeigten Gruppe D, E, F, G, H und J eine statistisch signifikant (P<0.05) geringere Tumorvolumenzunahme, w?hrend Gruppe A, B, C, I, K, L keine statistisch signifikanten Unterschiede hinsichtlich der Tumorvolumenzunahme zeigten. Schlufolgerung: Die Effektivit?t der TACE im tierexperimentellen Modell des hepatozellul?ren Karzinoms wird nur bei kombinierter Applikation von Zytostatikum und Carrier/Ligatur signifikant erhoht. Die alleinige Applikation des Zytostatikums/der Carrier/Ligatur hatte keinen signifikanten Effekt bezuglich der Effektivit?t.

There are two modes to display panoramic movies in virtual reality (VR) environment: non-stereoscopic mode (2D) and stereoscopic mode (3D). It has not been fully studied whether there are differences in the activation effect between these two continuous display modes on emotional arousal and what characteristics of the related neural activity are. In this paper, we designed a cognitive psychology experiment in order to compare the effects of VR-2D and VR-3D on emotional arousal by analyzing synchronously collected scalp electroencephalogram signals. We used support vector machine (SVM) to verify the neurophysiological differences between the two modes in VR environment. The results showed that compared with VR-2D films, VR-3D films evoked significantly higher electroencephalogram (EEG) power (mainly reflected in α and β activities). The significantly improved β wave power in VR-3D mode showed that 3D vision brought more intense cortical activity, which might lead to higher arousal. At the same time, the more intense α activity in the occipital region of the brain also suggested that VR-3D films might cause higher visual fatigue. By the means of neurocinematics, this paper demonstrates that EEG activity can well reflect the effects of different vision modes on the characteristics of the viewers' neural activities. The current study provides theoretical support not only for the future exploration of the image language under the VR perspective, but for future VR film shooting methods and human emotion research.
Arousal ; Electroencephalography ; Emotions/physiology* ; Humans ; Motion Pictures ; Virtual Reality

The surgical installation accuracy of the components in unicompartmental knee arthroplasty (UKA) is an important factor affecting the joint function and the implant life. Taking the ratio of the medial-lateral position of the femoral component relative to the tibial insert (a/A) as a parameter, and considering nine installation conditions of the femoral component, this study established the musculoskeletal multibody dynamics models of UKA to simulate the patients' walking gait, and investigated the influences of the medial-lateral installation positions of the femoral component in UKA on the contact force, joint motion and ligament force of the knee joint. The results showed that, with the increase of a/A ratio, the medial contact force of the UKA implant was decreased and the lateral contact force of the cartilage was increased; the varus rotation, external rotation and posterior translation of the knee joint were increased; and the anterior cruciate ligament force, posterior cruciate ligament force and medial collateral ligament force were decreased. The medial-lateral installation positions of the femoral component in UKA had little effect on knee flexion-extension movement and lateral collateral ligament force. When the a/A ratio was less than or equalled to 0.375, the femoral component collided with the tibia. In order to prevent the overload on the medial implant and lateral cartilage, the excessive ligament force, and the collision between the femoral component and the tibia, it is suggested that the a/A ratio should be controlled within the range of 0.427-0.688 when the femoral component is installed in UKA. This study provides a reference for the accurate installation of the femoral component in UKA.
Humans ; Arthroplasty, Replacement, Knee ; Knee Joint/surgery* ; Knee Prosthesis ; Gait ; Rotation

[ Abstract]Automatic and accurate segmentation of lung parenchyma is essential for assisted diagnosis of lung cancer. In recent years, researchers in the field of deep learning have proposed a number of improved lung parenchyma segmentation methods based on U-Net. However, the existing segmentation methods ignore the complementary fusion of semantic information in the feature map between different layers and fail to distinguish the importance of different spaces and channels in the feature map. To solve this problem, this paper proposes the double scale parallel attention (DSPA) network (DSPA-Net) architecture, and introduces the DSPA module and the atrous spatial pyramid pooling (ASPP) module in the "encoder-decoder" structure. Among them, the DSPA module aggregates the semantic information of feature maps of different levels while obtaining accurate space and channel information of feature map with the help of cooperative attention (CA). The ASPP module uses multiple parallel convolution kernels with different void rates to obtain feature maps containing multi-scale information under different receptive fields. The two modules address multi-scale information processing in feature maps of different levels and in feature maps of the same level, respectively. We conducted experimental verification on the Kaggle competition dataset. The experimental results prove that the network architecture has obvious advantages compared with the current mainstream segmentation network. The values of dice similarity coefficient (DSC) and intersection on union (IoU) reached 0.972 ± 0.002 and 0.945 ± 0.004, respectively. This paper achieves automatic and accurate segmentation of lung parenchyma and provides a reference for the application of attentional mechanisms and multi-scale information in the field of lung parenchyma segmentation.
Algorithms ; Image Processing, Computer-Assisted/methods* ; Lung/diagnostic imaging* ; Neural Networks, Computer ; Tomography, X-Ray Computed/methods*

Medical image segmentation based on deep learning has become a powerful tool in the field of medical image processing. Due to the special nature of medical images, image segmentation algorithms based on deep learning face problems such as sample imbalance, edge blur, false positive, false negative, etc. In view of these problems, researchers mostly improve the network structure, but rarely improve from the unstructured aspect. The loss function is an important part of the segmentation method based on deep learning. The improvement of the loss function can improve the segmentation effect of the network from the root, and the loss function is independent of the network structure, which can be used in various network models and segmentation tasks in plug and play. Starting from the difficulties in medical image segmentation, this paper first introduces the loss function and improvement strategies to solve the problems of sample imbalance, edge blur, false positive and false negative. Then the difficulties encountered in the improvement of the current loss function are analyzed. Finally, the future research directions are prospected. This paper provides a reference for the reasonable selection, improvement or innovation of loss function, and guides the direction for the follow-up research of loss function.
Algorithms ; Image Processing, Computer-Assisted

Computer-aided diagnosis (CAD) systems play a very important role in modern medical diagnosis and treatment systems, but their performance is limited by training samples. However, the training samples are affected by factors such as imaging cost, labeling cost and involving patient privacy, resulting in insufficient diversity of training images and difficulty in data obtaining. Therefore, how to efficiently and cost-effectively augment existing medical image datasets has become a research hotspot. In this paper, the research progress on medical image dataset expansion methods is reviewed based on relevant literatures at home and abroad. First, the expansion methods based on geometric transformation and generative adversarial networks are compared and analyzed, and then improvement of the augmentation methods based on generative adversarial networks are emphasized. Finally, some urgent problems in the field of medical image dataset expansion are discussed and the future development trend is prospected.
Humans ; Diagnosis, Computer-Assisted ; Diagnostic Imaging ; Datasets as Topic