Role of Plain Abdominal X-Ray in the Differential Diagnosis of Common Acute Abdominal Conditions in Children at Olabisi Onabanjo University Teaching Hospital, Sagamu, Ogun State, Nigeria

Background: The plain abdominal x-ray is one of the commonly requested investigations in the children emergency room, paediatric surgical ward and neonatal wards. The short interval required to carry out this investigative procedure and obtain results makes it the first imaging modality used to unravel the different causes of acute abdominal conditions in children. The safety of abdominal x-ray in children makes it attractive for use in paediatric surgical practice as part of routine work-up for undifferentiated acute abdominal conditions and also to diagnose specific causes of acute abdomen in children. Setting: Olabisi Onabanjo University Teaching Hospital, Sagamu, Ogun State. Objectives: Evaluation of the role of plain abdominal x-ray in diagnosing common acute abdominal conditions in children. Materials and method: Patients admitted to the children emergency room, paediatric surgical wards, children’s ward and neonatal ward who had plain abdominal x-ray as part of their diagnostic work-up were included in the study. They were studied prospectively between March 2011 and April 2021. Results: Three Hundred and Ninety-nine patients who had plain abdominal x-rays as part of their diagnostic work-up were studied. Males were 240 while females were 159, a male to female ratio of 1.5:1. The patients were aged between 1 day to 16 years. Differential diagnoses made with plain abdominal x-ray were intestinal obstruction in 298, perforated viscus 69 patients, intra-abdominal masses 13 patients and location of intra-abdominal foreign body 14. Intestinal obstruction cases in which plain abdominal x-ray played a role in their diagnosis and management included the following: intussusception 66, neonatal sepsis 60, malrotation 48, intestinal atresia 42, anorectal malformation 32, hirschsprung’s disease in 30 cases, pyloric stenosis 24, obstructed hernia 22, post-operative adhesions 16 and intestinal helminthiasis 12. Perforated viscus accounted for 69 indications. Out of these indications, perforated gut in intussusception 19, perforated typhoid ileitis was responsible in 13 cases, gut perforation in blunt abdominal trauma 8, perforation in strangulated hernia 11 cases, perforated gut in malrotation 7, ceacal perforation in hirschsprugs disease 6 and colonic perforation in necrotizing enterocolitis 5 cases. Conclusion: Plain abdominal x-ray remains a role to play in the differential diagnosis and management of common paediatric acute abdominal conditions.

Computer-Aided Diagnosis for Tuberculosis Classification with Water Strider Optimization Algorithm

Computer-aided diagnosis(CAD)models exploit artificial intelligence(AI)for chest X-ray(CXR)examination to identify the presence of tuberculosis(TB)and can improve the feasibility and performance of CXR for TB screening and triage.At the same time,CXR interpretation is a time-consuming and subjective process.Furthermore,high resemblance among the radiological patterns of TB and other lung diseases can result in misdiagnosis.Therefore,computer-aided diagnosis(CAD)models using machine learning(ML)and deep learning(DL)can be designed for screening TB accurately.With this motivation,this article develops a Water Strider Optimization with Deep Transfer Learning Enabled Tuberculosis Classification(WSODTL-TBC)model on Chest X-rays(CXR).The presented WSODTL-TBC model aims to detect and classify TB on CXR images.Primarily,the WSODTL-TBC model undergoes image filtering techniques to discard the noise content and U-Net-based image segmentation.Besides,a pre-trained residual network with a two-dimensional convolutional neural network(2D-CNN)model is applied to extract feature vectors.In addition,the WSO algorithm with long short-term memory(LSTM)model was employed for identifying and classifying TB,where the WSO algorithm is applied as a hyperparameter optimizer of the LSTM methodology,showing the novelty of the work.The performance validation of the presented WSODTL-TBC model is carried out on the benchmark dataset,and the outcomes were investigated in many aspects.The experimental development pointed out the betterment of the WSODTL-TBC model over existing algorithms.

Comparing upper gastrointestinal X-ray and endoscopy for gastric cancer diagnosis in Korea

AIM:To compare the cost and accuracy of upper gastrointestinal(GI)X-ray and upper endoscopy for diagnosis of gastric cancer using data from the 2002-2004 Korean National Cancer Screening Program(NCSP). METHODS:The study population included 1 503 646 participants in the 2002-2004 stomach cancer screening program who underwent upper GI X-ray or endoscopy.The accuracy of screening was defined as the probability of detecting gastric cancer.We calculated the probability by merging data from the NCSP and the Korea Central Cancer Registry.We estimated the direct costs of the medical examination and the tests for up- per GI X-ray,upper endoscopy,and biopsy. RESULTS:The probability of detecting gastric cancervia upper endoscopy was 2.9-fold higher than via upper GI X-ray.The unit costs of screening using upper GI X-ray and upper endoscopy were$32.67 and$34.89, respectively.In 2008,the estimated cost of identifying one case of gastric cancer was$53094.64 using upper GI X-ray and$16 900.43 using upper endoscopy.The cost to detect one case of gastric cancer was the same for upper GI X-ray and upper endoscopy at a cost ratio of 1:3.7. CONCLUSION:Upper endoscopy is slightly more costly to perform,but the cost to detect one case of gastric cancer is lower.

A Comprehensive Investigation of Machine Learning Feature Extraction and ClassificationMethods for Automated Diagnosis of COVID-19 Based on X-ray Images

The quick spread of the CoronavirusDisease(COVID-19)infection around the world considered a real danger for global health.The biological structure and symptoms of COVID-19 are similar to other viral chest maladies,which makes it challenging and a big issue to improve approaches for efficient identification of COVID-19 disease.In this study,an automatic prediction of COVID-19 identification is proposed to automatically discriminate between healthy and COVID-19 infected subjects in X-ray images using two successful moderns are traditional machine learning methods(e.g.,artificial neural network(ANN),support vector machine(SVM),linear kernel and radial basis function(RBF),k-nearest neighbor(k-NN),Decision Tree(DT),andCN2 rule inducer techniques)and deep learningmodels(e.g.,MobileNets V2,ResNet50,GoogleNet,DarkNet andXception).A largeX-ray dataset has been created and developed,namely the COVID-19 vs.Normal(400 healthy cases,and 400 COVID cases).To the best of our knowledge,it is currently the largest publicly accessible COVID-19 dataset with the largest number of X-ray images of confirmed COVID-19 infection cases.Based on the results obtained from the experiments,it can be concluded that all the models performed well,deep learning models had achieved the optimum accuracy of 98.8%in ResNet50 model.In comparison,in traditional machine learning techniques, the SVM demonstrated the best result for an accuracy of 95% and RBFaccuracy 94% for the prediction of coronavirus disease 2019.

Exploratory Application of X-ray Photography in the Diagnosis of Poultry Fatty Liver

[Objectives]This study was conducted to explore the application value of X ray in the diagnosis of poultry fatty liver.[Methods]Serum biochemical tests were performed on laying hens with suspected fatty liver.The X-ray liver images of the left lateral position were observed.And the liver traits were observed by anatomy.[Results]The increase in liver space occupying lesion observed by X-ray photography was consistent with the increase in liver volume observed by anatomy.The biochemical test showed slight liver function abnormalities.[Conclusions]X-ray examination can be used for the auxiliary diagnosis of poultry fatty liver.

X-ray DIAGNOSIS OF EXTRASKELETAL (SOFT TISSUE) CHONDROSARCOMA (A REPORT OF 8 CASES)

Eight cases of surgically and pathologically verified extraskeletal (soft tissue) chondrosarcoma were analyzed with regard to clinical and X-ray features. The cardinal clinical aspects of this series are: presence of a local soft tissue mass; gradual enlargement of the mass accompanied by increasing pain. The X-ray signs were summarized as follows: formation of a soft tissue mass; various forms of calcifications concentrated in the central area of the tumor; in some instances, presence of a saucer-like defect on the cortical surface of neighbouring bone and periosteal proliferation with mound-like new bone on both sides as well as bending deformity of the affected bone. The incidence and sites of predilection, the main X-ray findings, radiological diagnosis and differential diagnosis of the tumor were discussed. The Roentgen features of synovial chondrosarcoma of the knee joint were especially analyzed.

X-ray DIAGNOSIS OF JUXTACORTICAL CHONDROSARCOMA (A REPORT OF 16 CASES)

The clinical and radiologic features of 16 cases of surgically and pathologically proved juxtacortical chondrosarcoma were analyzed. The main radiograp-hic findings include: (1) A saucerlike or scalloped defect confined to the outer surface of cortex dut to tumor erosion; (2) Localized cortical proliferation and sclerosis; (3) Soft tissue mass and various forms of calcification within the tumor; but without a bony or calcified shell around the tumor mass and (4) sunray and/or laminated periosteal reaction. The origin of this tumor, its histopathology and classification were discussed. A preliminary investigation on the radiated periosteal reaction and its pathological basis was performed.

Detecting Tuberculosis from Vietnamese X-Ray Imaging Using Transfer Learning Approach

Deep learning created a sharp rise in the development of autonomous image recognition systems,especially in the case of the medical field.Among lung problems,tuberculosis,caused by a bacterium called Mycobacterium tuberculosis,is a dangerous disease because of its infection and damage.When an infected person coughs or sneezes,tiny droplets can bring pathogens to others through inhaling.Tuberculosis mainly damages the lungs,but it also affects any part of the body.Moreover,during the period of the COVID-19(coronavirus disease 2019)pandemic,the access to tuberculosis diagnosis and treatment has become more difficult,so early and simple detection of tuberculosis has been more and more important.In our study,we focused on tuberculosis diagnosis by using the chestX-ray image,the essential input for the radiologist’s profession,and researched the effectiveness of the transfer learning approach in the case study of Vietnamese chest X-ray images.We proposed four strategies to clarify our hypothesis in different ways of applying transfer learning and different training set types.We also prepared a Vietnamese X-ray image dataset with the support of the VRPACS team to provide the basis for training and testing deep learning models.Our experiments were carried out by applying three different architectures,Alexnet,Resnet,and Densenet,on international,Vietnamese,and combined X-ray image datasets.After training,all models were verified on a pure Vietnamese X-rays set.The results show that transfer learning is suitable in the case study of Vietnamese chest X-ray images with high evaluating metrics in terms of AUC(Area under the Receiver Operating Characteristic Curve),sensitivity,specificity,and accuracy.In the best strategy,most of the scores were more than 0.93,and all AUCs were more than 0.98.

Prenatal Diagnosis of Proximal Femoral Focal Deficiency Combining Ultrasound and Computer Tomography

Four cases of proximal femoral focal deficiency (PFFD) in an otherwise healthy infant are described. Antenatal diagnosis was made at 27, 23, 23 and 18 weeks of gestation by routine ultrasound (US) examination. Computer Tomography (CT) was performed after 30 weeks of gestation and confirmed the images obtained by US. The diagnosis was confirmed after delivery. These cases illustrate the importance of combining US and CT to improve accuracy of prenatal diagnosis of skeletal disorders.

Differential diagnosis of diabetes mellitus secondary to treatment with immune checkpoint inhibitors

In the past few years,immunotherapy has been integrated as part of routine cancer care.Agents targeting immune checkpoints have been proven to be effective against multiple types of cancer,including head and neck cancer and melanoma[1,2],and they continue to make headway in the treatment of other types of cancer[3,4].

Ultrafast two-dimensional x-ray imager with temporal fiducial pulses for laser-produced plasmas

It is challenging to make an ultrafast diagnosis of the temporal evolution of small and short-lived plasma in two dimensions. To overcome this difficulty, we have developed a well-timed diagnostic utilizing an x-ray streak camera equipped with a row of multi-pinhole arrays. By processing multiple sets of one-dimensional streaked image data acquired from various pinholes, we are capable of reconstructing high-resolution two-dimensional images with a temporal resolution of 38 ps and a spatial resolution of 18 μm. The temporal fiducial pulses accessed from external sources can advance the precise timing and accurately determine the arrival time of the laser. Moreover, it can correct the nonlinear sweeping speed of the streak camera. The effectiveness of this diagnostic has been successfully verified at the Shenguang-II laser facility,providing an indispensable tool for observing complex physical phenomena, such as the implosion process of laser-fusion experiments.

Role of contrast-enhanced serial/spot abdominal X-rays in perioperative follow-up of patients undergoing abdominal surgery:An observational clinical study

BACKGROUND Many imaging methods such as ultrasonography,computed tomography(CT),magnetic resonance imaging,and endoscopy are used to identify the problems or complications that occur in the perioperative period and to determine the appropriate therapeutic approach.Specialists at surgical clinics and intensive care units sometimes need diagnostic procedures that can give quick results or reveal unexpected results.In particular,rapid on-site evaluation of patients followed under intensive care conditions has several advantages.AIM To determine the problems developing in patients in the perioperative period by contrast-enhanced abdominal X-ray(CE-AXR),revealing their current status or defining the effectiveness of CE-AXR.METHODS The files of the patients who underwent hepatopancreatobiliary or upper gastrointestinal surgery,whose CE-AXR film was taken,were reviewed retrospectively.Abdominal X-ray radiographs taken after ingestion of a watersoluble contrast agent(iohexol,300 mg,50 cc vial)and its application in a drain,nasogastric tube,or stent were evaluated.The contribution of the data obtained in patients who underwent CE-AXR to the diagnosis,follow-up,and treatment processes and the effectiveness of the application were investigated.RESULTS CE-AXR was applied to 131 patients in our clinic,most of whom underwent hepatopancreatobiliary or upper gastrointestinal surgery.It was determined that the data obtained from CE-AXR films taken in 98(74.8%)of the patients contributed to the diagnosis,treatment,and follow-up expectations and positively affected the clinical processes.CONCLUSION CE-AXR is a simple procedure that can be applied anywhere,especially in intensive care patients and at bedside,with a portable X-ray device.The simplicity of the procedure,less radiation exposure for the patients,less time wastage,reduction in the CT and endoscopy procedure burden and costs,quick results,rapid assessment of the situation,and enabling the monitoring of processes with repetitive procedures are important advantages.X-rays taken will be useful in terms of being a reference value during the follow-up period of the patient and determining the situation in medicolegal processes.

视频脑电图与常规脑电图诊断癫痫的早期效能比较

目的比较视频脑电图(VEEG)与常规脑电图(REEG)诊断癫痫的早期效能。方法回顾性分析2019年5月至2023年5月长春市中心医院收治的104例拟诊癫痫患者的临床资料,所有患者均进行VEEG与REEG监测,比较VEEG与REEG监测效果、检出情况及分型、定位诊断。以病史、临床表现及其他辅助检查结果为金标准,比较VEEG与REEG诊断癫痫的早期效能。结果VEEG监测到的痫样放电率、临床发作率均高于REEG,差异有统计学意义(P<0.05)。VEEG癫痫、非癫痫发作检出率均高于REEG,暂不诊断癫痫检出率低于REEG,差异有统计学意义(P<0.05)。41例癫痫患者中,强直阵挛性发作8例,肌阵挛发作7例,复杂部分性发作8例,全面性发作5例,单纯部分性发作6例,失神发作7例;睡眠期出现异常放电24例,清醒期出现异常放电7例,睡眠期和清醒期均出现异常放电10例;明确痫样放电部位32例,包括颞区发作8例,额区发作7例,额颞区发作6例,中央区发作4例,枕区发作4例,颞枕后区发作3例。根据病史、临床表现以及其他辅助检查结果诊断,104例拟诊癫痫患者中,确诊癫痫患者58例,非癫痫患者46例,VEEG早期诊断癫痫的准确度、灵敏度、特异度、阳性预测值、阴性预测值均高于REEG,差异有统计学意义(P<0.05)。结论VEEG可提高痫样放电和临床发作检出率,还能用于癫痫分型和痫灶定位,在癫痫早期诊断中具有较高准确度,值得临床应用推广。

高分辨率CT用于肺部小结节良恶性鉴别诊断的效果分析

目的分析高分辨率CT对肺部小结节良恶性的鉴别诊断效果。方法选取2021年2月至2023年4月我院收治的肺部小结节患者96例,均予以常规CT及高分辨率CT检查,评估图像质量,以最终手术病理结果为依据,分别进行两种检查方法与手术病理结果的一致性分析,比较两种检查方式的诊断效能。结果高分辨率CT图像质量优良率显著高于常规CT(P<0.05)。96例患者经手术病理检查确诊为肺癌阳性70例,阴性26例;高分辨率CT与手术病理诊断结果的一致性较好(κ=0.906,P<0.001);常规CT与手术病理诊断结果的一致性一般(κ=0.729,P<0.001)。高分辨率CT的灵敏度、特异度、准确率分别为97.14%、92.31%、95.83%,显著高于常规CT的80.00%、50.00%、71.88%(P<0.05)。结论与常规CT相比,高分辨率CT在肺部小结节良恶性鉴别诊断中的图像质量更佳,诊断效能更好,值得临床应用。

血常规参数在鉴别诊断儿童传染性单核细胞增多症与急性化脓性扁桃体炎中的价值

目的探究儿童传染性单核细胞增多症(IM)与急性化脓性扁桃体炎(AST)使用血常规参数鉴别诊断的价值。方法选取郑州大学附属儿童医院38例IM患儿作为实验组研究对象,另外选取38例AST患儿作为对照组研究对象。选取时间为2021年1月至2022年1月。对比两组血常规参数,主要包括炎性血清因子指标[白细胞(WBC)、中性粒细胞/淋巴细胞比值(NLR)、单核细胞/淋巴细胞比值(MLR)、血小板/淋巴细胞比值(PLR)]、血清淋巴细胞参数[淋巴细胞复杂程度(L-X)、淋巴细胞荧光强度(L-Y)、淋巴细胞大小(LZ)]与血清中性粒细胞参数[中性粒细胞复杂程度(N-X)、中性粒细胞荧光强度(N-Y)、中性粒细胞大小(N-Z)]。结果两组WBC检测水平对比差异无统计学意义(P>0.05),实验组NLR、MLR、PLR检测水平低于对照组,差异有统计学意义(P<0.05);两组L-X检测水平对比差异无统计学意义(P>0.05),实验组检测L-Y、LZ水平高于对照组,差异有统计学意义(P<0.05);两组N-Z检测水平对比差异无统计学意义(P>0.05),实验组检测N-X、N-Y水平低于对照组,差异有统计学意义(P<0.05)。结论临床可通过血常规参数NLR、MLR、PLR、L-Y、LZ、N-X、N-Y给予IM、AST辅助鉴别诊断,值得应用。

脑脊液联合血常规检测在多发性脑胶质瘤与原发性中枢神经系统淋巴瘤鉴别诊断中的临床价值

目的探讨脑脊液(CSF)和血常规多项指标联合检测对多发性脑胶质瘤(MCG)与原发性中枢神经系统淋巴瘤(PCNSL)鉴别诊断的临床价值。方法回顾性分析首都医科大学附属天坛医院2017年11月至2023年3月收治的62例MCG患者和56例PCNSL患者临床资料、CSF及血常规检测指标,并分析有意义指标单独及联合应用鉴别诊断MCG与PCNSL的临床价值。结果MCG组CSF细胞总数、CSF白细胞数、CSF蛋白(CSF:pro)、乳酸、血常规中性粒细胞计数、中性粒细胞%水平显著高于PCNSL组(P<0.05);PCNSL组CSF糖(CSF:Glu)、CSF氯(CSF:cl)、血常规淋巴细胞计数、嗜酸性粒细胞、淋巴细胞%、嗜酸性粒细胞%水平显著高于MCG组(P<0.05)。CSF细胞总数、CSF白细胞、CSF:pro、乳酸、血常规中性粒细胞计数、中性粒细胞%鉴别诊断MCG和PCNSL的AUC为:0.900、0.899、0.797、0.867、0.828、0.772;灵敏度为:72.4%、77.6%、63.8%、67.2%、72.4%、82.8%;特异度为:97.1%、100.0%、88.2%、91.2%、88.2%、64.7%。此外,CSF细胞总数、CSF白细胞、CSF:pro、血常规中性粒细胞计数和中性粒细胞%指标联合检测鉴别诊断MCG和PCNSL的AUC为0.919,敏感度和特异度为77.6%和100.0%。结论脑脊液学指标CSF细胞总数、CSF白细胞、CSF:pro及血常规指标中性粒细胞计数和中性粒细胞%联合检测鉴别诊断MCG和PCNSL具有较高的临床应用价值。

磁共振常规序列联合DWI序列用于肛瘘术前诊断准确性分析

目的 探讨磁共振(MRI)常规序列联合弥散加权成像(DWI)序列用于肛瘘术前诊断准确性分析。方法 选取本院2020年5月到2022年8月肛瘘患者78例,所有患者均接受MRI常规及DWI序列扫描,对比MRI-DWI、常规序列扫描对外口、内口、主瘘管、分支瘘管、脓腔检出率及肛瘘Parks分型准确率,通过受试者工作曲线(ROC)评估表观扩散系数(ADC值)对病灶活动度的评估价值。结果 手术病理证实的78例肛瘘患者中,分别检出外口192个、内口88个、主瘘管78个、分支瘘管156个、脓腔60个,MRI-DWI对外口、内口、主瘘管、分支瘘管、脓腔的检出率分别为86.98%、89.77%、 87.18%、80.13%、81.67%高于单纯MRI常规序到78.13%、73.86%、71.79%、67.31%、63.33%(P<0.05);78例肛瘘患者parks分型包括Ⅰ型30、Ⅱ型25例、Ⅲ型14例、Ⅳ型9例;MRI-DWI对肛瘘parks分型Ⅰ型、Ⅱ型、Ⅲ型、Ⅳ型的诊断与病理结果的一致性Kappa值分别为0.833、0.769、0.788、0.820,均>0.75,二者一致性均较好,MRI-DWI对肛瘘prks分型Ⅰ型、Ⅱ型、Ⅲ型、Ⅳ型诊断准确率分别为92.31%、87.74%、93.59%、96.15%均高于单纯MRI常规序列诊断准确率7.654%、74.36%、79.49%、88.46%,总体准确率为85.90%高于MRI常规序列58.97%(P<0.05);78例患者肛瘘病灶活动度包括活动期29例,缓解期49例,缓解期患者ADC值高于活动期患者(P<0.05);ROC曲线分析显示ADC值评价肛瘘病变活动性曲线下面积0.908,灵敏度82.80%,特异度85.70%。结论 MRI-DWI诊断肛瘘有较高应用价值,Parks分型准确,对疾病活动度的评估价值较高,可准确检测出肛瘘内口、外口、主瘘管、分支瘘管和脓腔等。

常规尿液检验与生化检验在糖尿病中的诊断价值

目的 探讨常规尿液检验与生化检验在糖尿病中的诊断价值。方法 选取2021年10月—2022年10月南平市妇幼保健院收治的疑似糖尿病患者100例为研究对象,以查体、症状观察、糖耐量试验结果和指南为诊断金标准,对比常规尿液检验与生化检验在糖尿病诊断中的诊断价值。结果 金标准确诊糖尿病80例,非糖尿病20例。生化检验诊断准确度、灵敏度均高于常规尿液检验,差异有统计学意义(P均<0.05)。结论 相对于常规尿液检验,糖尿病采取生化检验诊断,技术准确度、灵敏度更高,是确诊此类慢性病的有效方案。

尿常规检验中尿干化学法联合尿沉渣法诊断尿路感染的价值

目的研究疑似尿路感染患者尿常规检验中应用尿干化学法联合尿沉渣法的诊断价值。方法回顾性选取山东省聊城市妇幼保健院于2020年4月—2023年9月收治的75例疑似尿路感染患者的临床资料,所有研究对象均实施尿干化学法和尿沉渣法检验,并以尿液细菌培养结果为诊断金标准,对比尿干化学法、尿沉渣法单独及联合检验的诊断效能。结果金标准结果显示,75例疑似尿路感染患者中,阳性71例,阴性4例;尿干化学法检出阳性62例,阴性13例,其灵敏度、特异度、准确度分别为84.50%、50.00%、82.67%;尿沉渣法检出阳性65例,阴性10例,其灵敏度、特异度、准确度分别为90.14%、75.00%、89.33%;尿干化学法联合尿沉渣法检出的阳性73例,阴性2例,其灵敏度、特异度、准确度分别为98.59、25.00%、94.67%。与单一方法诊断结果相比,尿干化学法联合尿沉渣法联合诊断的灵敏度、准确度均较高,但特异度较低,差异有统计学意义(P均<0.05)。结论在疑似泌尿系统感染患者中,采用尿干化学法联合尿沉渣法检验进行尿常规检查,可以更好地了解患者的病情,同时可以把尿常规作为判断泌尿系统感染重要指标,从而为以后的治疗提供更加可靠的依据。

动态心电图与常规心电图诊断冠心病的应用对比分析

目的 对比分析动态心电图与常规心电图诊断冠心病的应用价值。方法 选取2021年8月—2022年7月在本院治疗的1000例冠心病患者为研究对象,全部进行常规与动态心电图检查,以冠状动脉造影检查作为金标准,对比分析常规心电图检查与动态心电图检查对冠心病的诊断效果,并对比两种检查方法的心电图指标。结果 以冠状动脉造影检查作为金标准,动态心电图检查对冠心病诊断的灵敏度、特异度、准确性、阳性和阴性预计值高于常规心电图,差异均存在统计学意义(P<0.05)。动态心电图检查对窦房阻滞、房室阻滞、短阵性房颤、窦性心动过缓、期前收缩、缺血性ST-T改变的检出率高于常规心电图检查,差异均存在统计学意义(P<0.05)。结论 动态心电图相比于常规心电图用于冠心病诊断的价值更高,可提升对冠心病的临床诊断准确性。