scholarly journals MATrix LABoratory Algorithm in Ultrasound Image-Guided General Drug Anesthesia along with Lumbar and Sacral Plexus Block in Hip Replacement under

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Nana Wang ◽  
Lingyang Chen ◽  
Hongzhu Wang ◽  
Yibing Wang ◽  
Binhao Ruan

Objective. The study aimed to explore the application of ultrasound image-guided general drug anesthesia combined with lumbar and sacral plexus block based on MATrix LABoratory (MATLAB) algorithm in hip arthroplasty and to study its clinical effect. Methods. The classic geodesic active contour (GAC) algorithm and the improved fuzzy clustering level set algorithm were used to segment ultrasound images of waist plexus, and then their segmentation effects were compared. Both algorithms are from the MATrix LABoratory (MATLAB) platform. A total of 60 patients undergoing hip arthroplasty were selected and randomly enrolled into control and experimental groups. The control group accepted general drug anesthesia, and the experimental group accepted ultrasound-guided lumbar and sacral plexus block combined with general anesthesia. The mean arterial pressure and heart rate at t0 (before anesthesia), t1 (before ventilation), t2 (when the skin was incised), t3 (when the prosthesis was implanted), t4 (when the incision was closed), and t5 (at the end of ventilation) were observed, and the intraoperative sufentanil dosage and 24 h analgesic dosage, the incidence of postoperative delirium, and the incidence of cognitive dysfunction were recorded. Results. The improved fuzzy clustering level set algorithm was better than the GAC model algorithm in image segmentation and running time. In contrast with the control group, the average arterial pressure and heart rate of the experimental group at the four time points of t1, t2, t3, and t5 were obviously reduced ( P  < 0.05). In contrast with the control group, the amount of sufentanil and analgesics in the experimental group was obviously reduced ( P  < 0.05), and the incidence of postoperative cognitive dysfunction and delirium was obviously reduced ( P  < 0.05). Conclusion. The improved fuzzy clustering level set algorithm is superior to the GAC model in image segmentation and running time. Under its guidance, the lumbar and sacral plexus block combined with general anesthesia has a good clinical effect in hip arthroplasty, which is better than simple general anesthesia.

2000 ◽  
Vol 93 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Robert D. Stevens ◽  
Elisabeth Van Gessel ◽  
Nicolas Flory ◽  
Roxane Fournier ◽  
Zdravko Gamulin

Background The usefulness of peripheral nerve blockade in the anesthetic management of hip surgery has not been clearly established. Because sensory afferents from the hip include several branches of the lumbar plexus, the authors hypothesized that a lumbar plexus block could reduce pain from a major hip procedure. Methods In a double-blind prospective trial, 60 patients undergoing total hip arthroplasty were randomized to receive general anesthesia with (plexus group, n = 30) or without (control group, n = 30) a posterior lumbar plexus block. The block was performed after induction using a nerve stimulator, and 0.4 ml/kg bupivacaine, 0.5%, with epinephrine was injected. General anesthesia was standardized, and supplemental fentanyl was administered per hemodynamic guidelines. Postoperative pain and patient-controlled intravenous morphine use were serially assessed for 48 h. Results The proportion of patients receiving supplemental fentanyl intraoperatively was more than 3 times greater in the control group (20 of 30 vs. 6 of 29, P = 0.001). In the postanesthesia care unit, a greater than fourfold reduction in pain scores was observed in the plexus group (visual analogue scale [VAS] pain score at arrival 1.3 +/- 2 vs. 5.6 +/- 3, P &lt; 0.001), and "rescue" morphine boluses (administered if VAS &gt; 3) were administered 10 times less frequently (in 2 of 28 vs. in 22 of 29 patients, P &lt; 0.0001). Pain scores and morphine consumption remained significantly lower in the plexus group until 6 h after randomization (VAS at 6 h, 1.4 +/- 1.3 vs. 2.4 +/- 1.4, P = 0.007; cumulative morphine at 6 h, 5.6 +/- 4.7 vs. 12.6 +/- 7.5 mg, P &lt; 0.0001). Operative and postoperative (48 h) blood loss was modestly decreased in the treated group. Epidural-like distribution of anesthesia occurred in 3 of 28 plexus group patients, but no other side-effects were noted. Conclusions Posterior lumbar plexus block provides effective analgesia for total hip arthroplasty, reducing intra- and postoperative opioid requirements. Moreover, blood loss during and after the procedure is diminished. Epidural anesthetic distribution should be anticipated in a minority of cases.


2021 ◽  
Vol 11 (09) ◽  
pp. 259-268
Author(s):  
Perales Caldera Eduardo ◽  
González Lumbreras Aniza Surinam ◽  
Uribe Campo Giselle Andrea ◽  
Fernández Soto José Rodrigo ◽  
Medina de la Rosa Edoardo ◽  
...  

2018 ◽  
Vol 46 (8) ◽  
pp. 3124-3130 ◽  
Author(s):  
Han Joon Kim ◽  
Su In Park ◽  
Sang Yun Cho ◽  
Min Jae Cho

Objective Insertion of a nasogastric tube (NGT) in patients who have been intubated with an endotracheal tube while under general anesthesia can cause difficulties and lead to complications, including hemorrhage. A visualization-aided modality was recently used to facilitate NGT insertion. Some studies have focused on the role of modified Magill forceps, which have angles similar to those of the GlideScope blade (Verathon, Bothell, WA, USA). Methods Seventy patients were divided into a control group (Group C) and an experimental group (GlideScope and modified Magill forceps, Group M). Results The total NGT insertion time was significantly shorter in Group M than C (71.3 ± 22.6 vs. 96.7 ± 57.5 s; mean difference, –25.3 s; 95% confidence interval [CI], 20.8–71.5). There were also significantly fewer mean insertion attempts in Group M than C (1.0 ± 0.0 vs. 2.11 ± 0.93). The success rate for the first attempt in Group C was 37.1%, while that in Group M was 100% (relative risk, 2.7; 95% CI, 1.7–4.1). Conclusion The use of the GlideScope with modified Magill forceps for insertion of an NGT in patients who are already intubated and under general anesthesia will shorten the insertion time and improve the success rate.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yuehong Zhou

This study was to explore the application of deep learning neural network (DLNN) algorithms to identify and optimize the ultrasound image so as to analyze the effect and value in diagnosis of fetal central nervous system malformation (CNSM). 63 pregnant women who were gated in the hospital were suspected of being fetal CNSM and were selected as the research objects. The ultrasound images were reserved in duplicate, and one group was defined as the control group without any processing, and images in the experimental group were processed with the convolutional neural network (CNN) algorithm to identify and optimize. The ultrasound examination results and the pathological test results before, during, and after the pregnancy were observed and compared. The results showed that the test results in the experimental group were closer to the postpartum ultrasound and the results of the pathological result, but the results in both groups showed no statistical difference in contrast to the postpartum results in terms of similarity ( P > 0.05 ). In the same pregnancy stage, the ultrasound examination results of the experimental group were higher than those in the control group, and the contrast was statistically significant ( P < 0.05 ); in the different pregnancy stages, the ultrasound examination results in the second trimester were more close to the postpartum examination results, showing statistically obvious difference ( P < 0.05 ). In conclusion, ultrasonic image based on deep learning was higher in CNSM inspection; and ultrasonic technology had to be improved for the examination in different pregnancy stages, and the accuracy of the examination results is improved. However, the amount of data in this study was too small, so the representative was not high enough, which would be improved.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yufang Li ◽  
Manyun Bai ◽  
Xin Wang ◽  
Di Wu ◽  
Qian Zhao

This study aimed to provide a quantitative evaluation of the lung gas content in orthopedic surgery patients under different anesthesia using ultrasound images based on the artificial bee colony algorithm. The ultrasound image features based on an artificial bee colony algorithm were applied to analyze segmentation images to investigate the influence of different anesthesia methods on the lung air content of patients undergoing orthopedic surgery and the clinical features of such patients. They were also adopted for the anesthesia in orthopedic surgery to assist clinicians in the diagnosis of diseases. 160 orthopedic surgery patients who were hospitalized were treated with different anesthesia methods. The first group (traditional general anesthesia group) received general anesthesia and traditional ultrasound; the second group (ABC general anesthesia group) was used for ultrasound image analysis based on the artificial bee colony algorithm; the third group (traditional sclerosis group) was anesthetized with combined sclerosis block; ultrasound images of patients from the fourth group (ABC sclerosis group) were analyzed based on the artificial bee colony algorithm. Analysis was conducted at three time points. The LUS score of the traditional sclerosis group and ABC sclerosis group was hugely higher than the score of the traditional general anesthesia group and ABC general anesthesia group at T2 time, with statistical significance ( P < 0.005 ). At time point T3, the score of the traditional sclerosis group rose greatly compared with the general anesthesia group, and that of the ABC group was generally higher than that of the traditional ultrasound group ( P < 0.005 ). When the threshold value was 4, the fitness value of ABC algorithm was 2680.4461, and the fitness value of the control group was 1736.815. The difference between the two groups was 943.6311 ( P < 0.05 ). The operation time of ABC algorithm was 1.83, while that of the control group was 1.05, and the difference between the two groups was 0.78 ( P < 0.05 ). In conclusion, the feature analysis of ultrasonic images based on the artificial bee colony algorithm could effectively improve the accuracy of ultrasonic images and the accuracy of focus recognition. It can promote medical efficiency and accurately identify the lung air content of patients in future clinical case measurement and auxiliary treatment of fracture, which has great application potential in improving surgical anesthesia effect.


Author(s):  
Yoonhee Seok ◽  
Eunyoung E. Suh ◽  
Soo-Young Yu ◽  
JeongYun Park ◽  
Hyunjin Park ◽  
...  

This study presents an anticipatory integrated education program for nausea, vomiting, and dizziness prevention (anti-NVD education program) for patients undergoing abdominal surgery under general anesthesia. The anti-NVD education program for nephrectomy patients consisted of the following: the causes of postoperative nausea, vomiting, and dizziness; effective deep breathing and how to use an inspirometer; postoperative nausea and vomiting; effective methods of patient-controlled analgesia; and the stepwise standing up method to prevent dizziness. A study was conducted among 79 adults (experimental group: n = 40, control group: n = 39). The degree of nausea and dizziness was measured using a numerical rating scale (NRS), and vomiting and the frequency of antiemetic use were measured in terms of the number of patients. The experimental group, which received the anti-NVD education, showed remarkably lower levels of nausea (p = 0.013) and dizziness (p < 0.001) than the control group. The frequency of antiemetic use 48 hours after surgery was significantly lower in the experimental group (p = 0.03). This study proved the efficacy of the anti-NVD education program for reducing postoperative nausea and dizziness. This program can be used as a noninvasive nursing intervention to prevent nausea, vomiting, and dizziness among patients undergoing abdominal surgery.


2020 ◽  
Vol 3;23 (6;3) ◽  
pp. 237-244
Author(s):  
Emiliano Petrucci

Background: The mechanisms of persistent postoperative pain (PPP) with neuropathic features after carotid endarterectomy (CEA) are multifaceted and are incompletely understood. Objectives: The aim of this research was to assess whether the ultrasound-guided (USG) intermediate cervical plexus block (ICPB) could provide better control of PPP and neuropathic disturbances (NPDs) after CEA than the USG superficial cervical plexus block (SCPB). Study Design: Prospective, randomized, controlled, clinical trial. Setting: This clinical trial was conducted at the SS Filippo and Nicola Academic Hospital of Avezzano (L’Aquila, Italy). Methods: Patients who were scheduled for primary CEA were chosen. In the experimental group, the USG-ICPB was performed unilaterally, at the level of the third cervical vertebra. The needle was inserted into the deep lamina of the deep fascia of the neck, between the posterior border of the middle scalene muscle and the anterior border of the posterior scalene muscle. Three milliliters saline solution was injected into the opening of the deep lamina, and 20 mL 0.375% levobupivacaine was injected. In the control group, the anesthetic target was located at the inferior border of the sternocleidomastoid muscle at the level of the third cervical vertebra. The needle was superficially inserted below the skin, and 2 to 3 mL saline solution was injected into the opening of the superficial lamina of the deep fascia of the neck. A total of 20 mL 0.375% isobaric levobupivacaine was subsequently injected. The primary outcome measure was the proportion of patients with PPP on movement and at rest 3 months after surgery. The secondary outcome measures were NPD assessment scores using the von Frey hair test and the Lindblom test, opioid and pregabalin consumption. Adverse effects were also recorded. Results: A total of 98 consecutive patients were enrolled and randomized to receive either a USGSCPB (control group, n = 49) or a USG-ICPB (experimental group, n = 49). The sensory blockade was longer in the experimental group. Three months after surgery, the proportions of patients with PPP on movement were significantly different between the experimental and control groups (33%, 95% confidence intervals [CI], 20%-47% vs. 71%, 95% CI, 57%-83%; P < 0.001), whereas there were no differences in the proportions of patients with pain at rest between groups (31%, 95% CI, 18%-45% vs. 49%, 95% CI, 34%-64%; P = 0.063). The proportions of patients with NPDs were not different between the groups, whereas the sizes of the areas of interest (cm2 ) were significantly different. Limitations: A limitation of this study is that we assessed NPDs for only 3 months using the von Frey hair test and the Lindblom test without additional instrumental techniques. Additionally, there are many risk factors for NPDs after CEA. For this reason, another limitation of this research is that we neglected to consider the relationship between the choice of anesthetic block and the presence of these risk factors.Conclusions: The USG-ICPB provided long-lasting analgesia during the postoperative period and might mitigate the development of NPDs, thereby decreasing the analgesic drug requirement. Key words: Carotid endarterectomy, intermediate cervical plexus block, myofascial planes of neck, neuropathic disturbances, persistent postoperative pain, superficial cervical plexus blocks, ultrasound guidance, vascular disease


2020 ◽  
Vol 6 (2) ◽  
pp. 88-96
Author(s):  
Maulana Sigit Purwa H ◽  
Lasim Muzammil

This research is intended to investigate how significant the effectiveness of AVE in which YouTube as the platform adopted being compared to the use of another media, i.e. Audio-Picture Series Exposure towards learners’ speaking skill. In order to achieve the purposes of the study, this study entails subjects taken from the population of SMK Budi Mulya Pakisaji by selecting 20 samples and 18 samples for control and experimental group respectively in which the former group was taught using Audio-Picture Series Exposure, while the latter one using AVE (YouTube). The researcher provided similar treatment and topic during the implementation of each exposure. The results show that both groups proved major improvement. Despite the performance improvement, since the result of independent sample t-test was 0.379, it attests that the difference between the groups was insignificant as the result was higher than the significance level set at .05. Such insignificance was apparently posed by some probable factors such as how the control group provide the same effective impact during the lesson, and also caused by the probable limitation as for adopting the availability of apt videos attributed to the selected topic which culminated in over reusing the similar contents. All in all, this study is expected to be contributive and propitious for the teachers and learners as for delivering insights of determining the use of the most suitable media for learning activity. It is also hoped that further research could present more detailed and provide more reliably advantageous findings.


2016 ◽  
Vol 6 ◽  
pp. 38 ◽  
Author(s):  
Eli Tumba Tshibwabwa ◽  
Jenifer Cannon ◽  
James Rice ◽  
Michael G Kawooya ◽  
Reza Sanii ◽  
...  

Objectives:The aim is to provide students in the preclinical with ultrasound image interpretation skills. Research question: Are students in smaller groups with access to a combination of lectures and hands-on patient contact most likely to have better ultrasound image interpretation skills, than students in larger groups with only interactive didactic lectures?Methodology:First-year students at the preclinical Program of the College of Medicine, participated in two 2-h introductory interactive ultrasound sessions. The study comprised two cohorts: 2012/2013 students, who were offered large group teaching (LGT) sessions (control group), and 2013/2014 students, who received the intervention in small group learning problem-based learning (PBL) sessions (experimental group). The overall learning objectives were identical for both groups. The success of the module was evaluated using pre- and post-tests as well as students’ feedback.Results:The students in the experimental group showed significantly higher scores in interpretations of images than those in the control group. The experimental group showed achievement of learning outcomes along with higher levels of satisfaction with the module compared to the latter.Conclusion:Posttest knowledge of the basics of ultrasound improved significantly over the pretest in the experimental group. In addition, students’ overall satisfaction of the ultrasound module was shown to be higher for the PBL compared to the LGT groups. Small groups in an interactive and PBL setting along with opportunities for hands-on practice and simultaneous visualization of findings on a high definition screen should enhance preclinical student learning of the basics of ultrasound. Despite the potential of ultrasound as a clinical, teaching and learning tool for students in the preclinical years, standardized recommendations have yet to be created regarding its integration into the curricula within academic institutions and clinical medicine. The interactive and PBL is here to stay at the college of medicine. Further research would be carried out to see if this trend persists in the upcoming vertical system-based curriculum of the college of medicine.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Peng Bian ◽  
Xiyu Zhang ◽  
Ruihong Liu ◽  
Huijie Li ◽  
Qingqing Zhang ◽  
...  

The neural network algorithm of deep learning was applied to optimize and improve color Doppler ultrasound images, which was used for the research on elderly patients with chronic heart failure (CHF) complicated with sarcopenia, so as to analyze the effect of the deep-learning-based color Doppler ultrasound image on the diagnosis of CHF. 259 patients were selected randomly in this study, who were admitted to hospital from October 2017 to March 2020 and were diagnosed with sarcopenia. Then, all of them underwent cardiac ultrasound examination and were divided into two groups according to whether deep learning technology was used for image processing or not. A group of routine unprocessed images was set as the control group, and the images processed by deep learning were set as the experimental group. The results of color Doppler images before and after processing were analyzed and compared; that is, the processed images of the experimental group were clearer and had higher resolution than the unprocessed images of the control group, with the peak signal-to-noise ratio (PSNR) = 20 and structural similarity index measure (SSIM) = 0.09; the similarity between the final diagnosis results and the examination results of the experimental group (93.5%) was higher than that of the control group (87.0%), and the comparison was statistically significant ( P < 0.05 ); among all the patients diagnosed with sarcopenia, 88.9% were also eventually diagnosed with CHF and only a small part of them were diagnosed with other diseases, with statistical significance ( P < 0.05 ). In conclusion, deep learning technology had certain application value in processing color Doppler ultrasound images. Although there was no obvious difference between the color Doppler ultrasound images before and after processing, they could all make a better diagnosis. Moreover, the research results showed the correlation between CHF and sarcopenia.


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