Xiang Qi, Changjun Yang, Wei Huang, Wei Han, Yujie Li
{"title":"Application of enhanced recovery after surgery in pediatric patients with obstructive sleep apnea-hypopnea syndrome.","authors":"Xiang Qi, Changjun Yang, Wei Huang, Wei Han, Yujie Li","doi":"10.1177/09287329251314265","DOIUrl":"https://doi.org/10.1177/09287329251314265","url":null,"abstract":"<p><strong>Background: </strong>Enhanced Recovery After Surgery (ERAS) has demonstrated effectiveness in accelerating recovery and reducing complications across surgical fields, with limited application in Ear-Nose-Throat surgeries. Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS), a prevalent condition affecting pediatric patients, calls for innovative management due to its impact on health and the need for surgical interventions like tonsillectomy.</p><p><strong>Objective: </strong>The present study aimed to investigate the efficacy of ERAS in pediatric patients with OSAHS.</p><p><strong>Methods: </strong>Review and analyze 1100 cases of pediatric patients with OSAHS who underwent plasma-coblation tonsillectomy and adenoidectomy using nasal endoscopy from June 2016 to June 2022 in our hospital. Among these cases, a total of 564 patients were managed according to ERAS theory, while 536 patients were treated with classical theory. The incidence of preoperative discomfort, postoperative pain, bleeding, and other complications between the two groups were compared.</p><p><strong>Results: </strong>ERAS group showed comparable preoperative-discomfort rates to the control (<i>P </i>= 0.799). However, ERAS patients exhibited significantly lower pain scores at 24-, 48-, and 72-h post-operation (<i>P </i>< 0.05). Mental state scores were similar between ERAS and control 4 h pre-surgery (<i>P </i>> 0.05), but notably lower in ERAS at 30 min pre-op and 6-, 12-, and 24-h post-operation (<i>P </i>< 0.05). ERAS had lower complication rates and intra/postoperative bleeding, quicker ambulation/oral intake, and shorter hospital stays than control (<i>P </i>< 0.05).</p><p><strong>Conclusion: </strong>ERAS management in patients with OSAHS resulted in notable reductions in postoperative pain and incidence of complications, along with improved postoperative recovery and shorter hospital stays.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251314265"},"PeriodicalIF":1.4,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143459996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vibha Tiwari, Divya Jain, Deepak Sharma, Mohamed M Hassan, Fayez Althobaiti, Akshay Varkale, Mahmoud Ahmad Al-Khasawneh, Ravi Kumar Tirandasu
{"title":"An efficient sparse code shrinkage technique for ECG denoising using empirical mode decomposition.","authors":"Vibha Tiwari, Divya Jain, Deepak Sharma, Mohamed M Hassan, Fayez Althobaiti, Akshay Varkale, Mahmoud Ahmad Al-Khasawneh, Ravi Kumar Tirandasu","doi":"10.1177/09287329241302749","DOIUrl":"https://doi.org/10.1177/09287329241302749","url":null,"abstract":"<p><p>Accurate denoising of Electrocardiogram (ECG) signals is essential for reliable cardiac diagnostics, but traditional methods often struggle with high-frequency noise and artifacts, leading to potential misinterpretations. It is often impeded by interference such as power line interference (PLI) and Gaussian noise. To address this challenge, we suggest a novel ECG denoising technique that combines empirical mode decomposition (EMD) with wavelet domain sparse code shrinking. Our approach first decomposes the noisy ECG signal into Intrinsic Mode Functions (IMFs) using EMD. These IMFs are then transformed into the wavelet domain, where a sparse code shrinking function is applied to effectively reduce both Gaussian noise and PLI while preserving the integrity of the original signal. The effectiveness of the technique is assessed on the MIT-BIH database, where it shows marked improvements in Signal-to-Noise Ratio (SNR), Mean Squared Error (MSE), and Percentage Root Mean Square Difference (PRD). The suggested approach demonstrates improved SNR and reduced MSE when compared to prior approaches, which suggests that the ECG signals are clearer and more precise. This method presents a rather effective approach to enhancing ECG analysis as it is important for diagnosis and interpretation. At 10 dB SNR, the suggested technique achieves an MSE of 0.005, which is much less than the 0.076 and 0.0025 MSEs obtained by EMD wavelet adaptive thresholding and soft thresholding correspondingly. This indicates that the proposed approach effectively eliminates noise while preserving significant signal characteristics, leading to an improved and less erroneous signal reconstruction. Furthermore, the proposed method outperformed conventional techniques and demonstrated improved noise reduction and signal clarity, achieving an SNR of 19.24 and a PRD of 20.38 at 10 dB SNR.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241302749"},"PeriodicalIF":1.4,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Usha Sree, Praveen Krishna, Dr Ch Mallikarjuna Rao, Lalitha Parameshwari
{"title":"Early brain stroke detection using multilayer perceptron of convolutional neural network-based residual network.","authors":"Usha Sree, Praveen Krishna, Dr Ch Mallikarjuna Rao, Lalitha Parameshwari","doi":"10.1177/09287329241308465","DOIUrl":"10.1177/09287329241308465","url":null,"abstract":"<p><strong>Background: </strong>Stroke, medically known as the brain attack, refers to the stoppage or stoppage of blood from flowing into a particular region of the brain, or even from the breaking of a vessel, causing injury to and death of areas of the brain. It presents a medical emergency, with the potential of severe long-term neurological impairment, disability, and even death; thus, urgent detection and treatment are needed.</p><p><strong>Objective: </strong>The study aims to develop a novel Multilayer Perceptron of Convolutional Neural Network-based Residual Network (MLPCNNbRN) for early brain stroke detection, focusing on improving the accuracy and reliability of detecting subtle stroke patterns in medical images.</p><p><strong>Methods: </strong>The MLPCNNbRN provided resented in the context of residual connections within an architecture designed for deep network training in medical images. This allowed the overall model to learn complex relations very effectively. The system was implemented in the Python framework. Its performance was compared with other methods. The key metrics used in the evaluation were accuracy, precision, recall, and F-score.</p><p><strong>Results: </strong>The MLPCNNbRN model demonstrated superior performance compared to existing methods, achieving higher levels of accuracy in stroke detection. Specifically, the model improved overall accuracy, precision, recall, and F-score, showcasing its robustness in identifying subtle stroke patterns.</p><p><strong>Conclusion: </strong>The proposed MLPCNNbRN system enhances early brain stroke detection by extracting hierarchical features and residual network learning, offering a more accurate and reliable approach than previous methods. This system has the potential to aid medical professionals in timely diagnosis and treatment, ultimately improving patient outcomes.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241308465"},"PeriodicalIF":1.4,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pin Wang, Yanan Zuo, Chenglong Miao, Lu Xu, Yanwei Wang, Suyun Liu, Ru Xing, Bingyan Guo
{"title":"Stepwise ablation strategy in radiofrequency ablation improves acute and long-term outcomes of scar-related ventricular tachycardias.","authors":"Pin Wang, Yanan Zuo, Chenglong Miao, Lu Xu, Yanwei Wang, Suyun Liu, Ru Xing, Bingyan Guo","doi":"10.1177/09287329241307799","DOIUrl":"https://doi.org/10.1177/09287329241307799","url":null,"abstract":"<p><strong>Background: </strong>The optimal intervention procedures for scar-related ventricular tachycardia (VT) is still unclear.</p><p><strong>Objective: </strong>This study aimed to compare the acute and long-term outcomes of a stepwise ablation approach targeting critical sites identified through activation mapping during VT or pace mapping followed by substrate ablation with substrate modification alone in patients with scar-related VT.</p><p><strong>Methods: </strong>Data of 41 patients with scar-related VTs treated with stepwise ablation (Group 1, n = 29) or substrate modification alone during sinus rhythm (Group 2, n = 12) were retrospectively reviewed. The procedure acute success and long-term success during follow-up were compared.</p><p><strong>Results: </strong>There was no statistical difference between the two groups on basic characteristics. Group 1 demonstrated shorter ablation time (P = 0.02), longer VT-free survival rates at a median follow-up of 24.0 months (P = 0.02) and a lower VT recurrence rate (hazard ratio: 0.17, 95% confidence interval: [0.03, 0.93], P = 0.04) compared to Group 2. The acute success and ratio of ablation area to scar area were comparable between the two groups (P ≥ 0.05).</p><p><strong>Conclusion: </strong>The stepwise ablation strategy shows promise for improving acute and long-term outcomes and reducing the recurrence risk in patients with scar-related VT.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241307799"},"PeriodicalIF":1.4,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Soualihou Ngnamsie Njimbouom, Kwonwoo Lee, Jeong-Dong Kim
{"title":"MANSHIP: Mobile-based assistive notification service for hearing-impaired people using a hybrid deep learning model.","authors":"Soualihou Ngnamsie Njimbouom, Kwonwoo Lee, Jeong-Dong Kim","doi":"10.1177/09287329241309702","DOIUrl":"https://doi.org/10.1177/09287329241309702","url":null,"abstract":"<p><p>Hearing impairment, often caused by noise-induced trauma, significantly affects sound perception, communication, and cognitive abilities while increasing the risk of secondary accidents-individuals with hearing impairment are twice as likely to experience accidents as those with normal hearing. According to a 2023 WHO report, approximately 432 million adults and 34 million children globally are affected by hearing loss. While Assistive Listening Devices are commonly recommended, they are inadequate for individuals with total hearing loss. Therefore, alternatives are necessary to enhance safety and reduce accident risks. The present study introduces a hybrid deep learning model combining Very Deep Convolutional Networks (VGG16) and Residual Networks (ResNet-50) for efficient sound wave analysis and classification. Trained and validated on a comprehensive urban sound dataset, the model achieved a remarkable accuracy of 97.14%, surpassing existing state-of-the-art solutions. Furthermore, a mobile-based assistive notification system, MANSHIP, was developed to detect environmental sounds and alert individuals with profound or total hearing loss to potential hazards. MANSHIP addresses critical safety challenges and demonstrates the potential to improve the quality of life for those with severe hearing impairments by fostering safer environments and reducing caregiver dependency.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241309702"},"PeriodicalIF":1.4,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jun Wang, Danlei Huang, Zhiyang Ye, Weizong Weng, Guangze Wang, Haoyuan Liu, Jianming Huang
{"title":"Treatment of recurrent shoulder dislocation by arthroscopic subscapularis augmentation using the long head of the Biceps tendon.","authors":"Jun Wang, Danlei Huang, Zhiyang Ye, Weizong Weng, Guangze Wang, Haoyuan Liu, Jianming Huang","doi":"10.1177/09287329241302741","DOIUrl":"https://doi.org/10.1177/09287329241302741","url":null,"abstract":"<p><strong>Background: </strong>Recurrent anterior shoulder dislocation is a common shoulder problem, usually caused by a force from the front when the shoulder joint is abducted and externally rotated. In the present study, we investigated the effect of arthroscopic subscapularis augmentation using the long head of the biceps tendon on shoulder motion after restoring anterior stability of the joint in patients with 13.5-20% of scapular glenoid defects.</p><p><strong>Methods: </strong>Fifty patients admitted to our department with recurrent anterior shoulder dislocation between April 2017 and July 2021 were retrospectively analyzed. The patients were divided into two groups (groups A and B, n = 25 each) with comparable age, sex, hand dominance, and articular glenoid bone loss. Patients in group A were treated with arthroscopic Bankart repair and subscapularis augmentation, whereas those in group B underwent arthroscopic long head of the biceps transposition and subscapularis augmentation. All patients in both groups were followed up for more than 1 year, with a mean follow-up period of 20.1 ± 0.7 months (range, 13-28 months). The primary outcomes were changes in the visual analog scale score, Rowe classification, and Constant-Murley shoulder outcome score.</p><p><strong>Results: </strong>None of the patients in either group had experienced recurrent dislocation at 1-year follow-up. The visual analog scale scores decreased, and the Rowe and Constant-Murley scores improved significantly compared to the preoperative scores. Significant differences were observed in the forward flexion, abduction, and internal rotation angles of the shoulder joint in both groups at 1-year follow-up compared to baseline. The postoperative forward flexion (<i>P </i>= 0.143), abduction (<i>P </i>= 0.778), and internal rotation angles (<i>P </i>= 0.609) did not differ significantly between the two groups. At 1-year follow-up, the loss of angles of external rotation at the side and external rotation at 90° abduction in group B exhibited significantly less angular loss than group A.</p><p><strong>Conclusion: </strong>Arthroscopic subscapularis augmentation using the long head of the biceps transposition technique was effective at restoring anterior stability in patients with 13.5-20% scapular glenoid defects. It was more effective at restoring the external rotational function of the shoulder joint than arthroscopic Bankart repair and subscapularis augmentation.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241302741"},"PeriodicalIF":1.4,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Virtual reality-induced motion sickness under autonomous vehicle driving conditions: EEG-based recognition and ANOVA analysis of various driving modes.","authors":"Shuyu Shao, Yang Zhang, Hongjue Wang, Xiaoli Fan","doi":"10.1177/09287329241308093","DOIUrl":"https://doi.org/10.1177/09287329241308093","url":null,"abstract":"<p><p>Motion sickness induced by autonomous driving technology poses a new challenge to the emerging sustainable transportation systems. This study investigates the association between motion sickness in autonomous driving and electroencephalogram (EEG) signals under three laboratory-based simulated scenarios: manual driving, resting, and autonomous driving. EEG data were recorded from participants in each mode, alongside the collection of motion sickness symptoms through questionnaires. Data analysis and exploration were conducted to explore the relationship between autonomous driving-induced motion sickness and EEG signals. The results indicate a significantly higher probability of motion sickness among passengers in autonomous driving mode than in manual one. Across different driving modes, a correlation was observed between the amplitude and latency of N200 and P300 event-related potentials (ERPs) in the Go/Nogo paradigm, reflecting response inhibition and the occurrence of motion sickness. Temporal analysis of EEG signals revealed significant differences in the Kolmogorov complexity values at Cz, Fz, and Pz channels, suggesting the potential use of EEG-based detection of motion sickness. Frequency domain analysis indicated increased activity in alpha and gamma waves and decreased activity in beta waves following the onset of motion sickness during autonomous driving. Distinct changes were observed in the electrocortical topography of N200 and P300 components in autonomous driving through event-related potential waveforms and topographic maps. These findings provide new insights into the neural mechanisms of motion sickness in autonomous driving and offer guidance for future intervention methods and improvements in the design of autonomous driving systems, thereby promoting their sustainability and safety.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241308093"},"PeriodicalIF":1.4,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahsan Humayun, Bin Liu, Mustafain Rehman, Zhipeng Zou, Luning Xu
{"title":"A method framework of cruciate ligaments segmentation and reconstruction from MRI images.","authors":"Ahsan Humayun, Bin Liu, Mustafain Rehman, Zhipeng Zou, Luning Xu","doi":"10.1177/09287329241306201","DOIUrl":"https://doi.org/10.1177/09287329241306201","url":null,"abstract":"<p><p>Segmenting anterior and posterior cruciate ligaments (ACL/PCL) presents challenges in medical imaging due to diverse characteristics, including size, shape, and intensity. Our study uses superpixel-based spectral clustering for knee cruciate ligament segmentation in 2D DICOM slices, renowned for generating high-quality clusters. The proposed method addresses the challenges by (i) identifying the ligamentous region (ROI) through superpixel-based computation, (ii) extracting features (intensity-based, shape-based, geometric complexity, and Scale-Invariant Feature Transform) from the ROI, and (iii) segmenting knee ligament tissues using spectral clustering on the extracted features. Superpixel-based spectral clustering addresses the challenge of constructing a dense similarity matrix and significantly reduces the computational burden. Furthermore, 3D visualization of ligament structures is performed using the Visualization Toolkit (VTK). We evaluated our proposed approach on a dataset of knee MRI slices, assessing the results via the dice score, average surface distance (ASD), and root mean squared error (RMSE) metrics. Our method achieved an average dice score of 0.912 for ACL segmentation and 0.896 for PCL segmentation, outperforming other clustering methods. These scores showed an enhancement of 10.7% and 14.9% in segmentation accuracy for the ACL and PCL, respectively. Furthermore, reduced error margins were demonstrated with the mean ASD values of 1.60 and 1.78 and the mean RMSE values of 1.76 and 1.86 for ACL and PCL, respectively. These results show the effectiveness of the proposed method for cruciate ligament segmentation and its potential for increasing the segmentation accuracy and speed, offering significant advantages over manual segmentation by reducing time and expertise.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241306201"},"PeriodicalIF":1.4,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Glut-1 exerts anti-tumor activity in glioma by regulating AKT / mTOR signaling pathway.","authors":"Zhimei Li, Guofeng Zhang","doi":"10.1177/09287329241304910","DOIUrl":"https://doi.org/10.1177/09287329241304910","url":null,"abstract":"<p><strong>Objective: </strong>Glioma is a common tumor in neurosurgery. Glut-1 is the main carrier of glucose uptake by cells and can provide energy through the glycolytic pathway. However, the role and related mechanisms of Glut-1 in glioma have not yet been elucidated.</p><p><strong>Methods: </strong>Real time PCR and Western blot were done to assess Glut-1 level in glioma tumor tissues and adjacent tissues. Glioma U87 cells were separated into control group; Glut-1 negative control (NC group); and Glut-1 siRNA group followed by analysis of Glut-1 expression, cell proliferation by MTT assay, cell invasion, cell apoptosis and cycle by flow cytometry and AKT / mTOR signaling proteins level by Western blot.</p><p><strong>Results: </strong>Glut-1 expression was significantly increased in the tissues of glioma patients (P < 0.05) compared to adjacent tissues and its level was related to tumor size, pathological grade and survival. Down-regulating the expression of Glut-1 can significantly inhibit tumor cell proliferation and invasion, increase apoptosis and induce G0 phase of cell cycle arrest, and inhibit the expression of AKT / mTOR signaling proteins phosphorylation (P < 0.05).</p><p><strong>Conclusions: </strong>Glut-1 level in glioma tissues is significantly increased, which is related to the pathological features. Down-regulating Glut-1 can inhibit glioma by regulating the AKT / mTOR signaling pathway.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241304910"},"PeriodicalIF":1.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Technological advancements in right heart acoustic angiography for predicting patent foramen ovale and its correlation with AIS: A retrospective study.","authors":"Haidong Qin, Xipiao Qin, Xianzhi Jiang","doi":"10.1177/09287329241307809","DOIUrl":"https://doi.org/10.1177/09287329241307809","url":null,"abstract":"<p><strong>Background: </strong>Acute ischemic stroke (AIS) is a leading cause of disability and mortality worldwide, often resulting from embolic events. Patent foramen ovale (PFO), a common congenital heart defect, has been identified as a potential source of emboli in AIS patients, especially in cases of cryptogenic stroke where no other etiology is found.</p><p><strong>Objective: </strong>This study aimed to investigate the relationship between AIS and PFO, and to explore the diagnostic value of right heart acoustic angiography for PFO.</p><p><strong>Methods: </strong>A study included 148 AIS and 111 non-AIS patients with suspected PFO, using transesophageal echocardiography (TEE) as the diagnostic gold standard. Sensitivity, specificity, and accuracy of right heart acoustic angiography for PFO diagnosis were evaluated. ROC and Spearman correlation analyses assessed diagnostic value and the association between AIS and PFO.</p><p><strong>Results: </strong>PFO was detected in 79 AIS patients and 20 non-AIS patients, with a higher detection rate in the AIS group (<i>P </i>< 0.05). Right heart acoustic angiography showed a diagnostic accuracy of 95.37% for PFO, with a sensitivity of 95.37% and a specificity of 97.78%. The AUC value of the ROC curve for right heart acoustic imaging was 0.975, indicating high diagnostic efficacy for PFO. PFO was positively correlated with AIS (r = 0.318, <i>P </i>< 0.001).</p><p><strong>Conclusion: </strong>PFO is commonly detected in AIS patients and is positively correlated with AIS. Right heart acoustic imaging has high diagnostic efficacy for PFO and can be a valuable diagnostic tool for patients with PFO.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329241307809"},"PeriodicalIF":1.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}