Application Research of Medical Imaging Practical Teaching Based on Virtual Simulation Teaching Platform

Objective:To explore the application effect of virtual simulation teaching platform in the practical teaching of medical imaging.Methods:A total of 97 students majoring in medical imaging technology of class 2022 were selected and divided into two groups according to the random number method:control group(n=48)and observation group(n=49).The observation group was under the practical teaching mode based on the virtual simulation teaching platform,while the control group was under the traditional multimedia teaching mode.Questionnaire survey and teaching assessment were carried out after the teaching period,and the application effects of the two teaching modes were compared.Results:The reading and theoretical scores of the students in the observation group were significantly higher than those of the students in the control group(P<0.01);there were statistically significant differences in the results of the questionnaire survey(improved learning interest,improved language expression,improved ability to comprehensively analyze problems,and improved teamwork awareness)between the two groups of students(P<0.05);the students in the observation group were markedly more satisfied with the teaching content,teaching methods,and teaching quality than the students in the control group(P<0.05).Conclusion:The medical imaging practical teaching mode based on virtual simulation platform not only helps improve students’theoretical understanding and practical ability in medical imaging technology,but also improves students’learning interest,language expression ability,ability to comprehensively analyze problems,communication skills,teamwork awareness,and satisfaction with the teaching content,teaching methods,and teaching quality.Therefore,it has wide application value in medical specialty education.

Epileptic brain network mechanisms and neuroimaging techniques for the brain network

Epilepsy can be defined as a dysfunction of the brain network,and each type of epilepsy involves different brain-network changes that are implicated diffe rently in the control and propagation of interictal or ictal discharges.Gaining more detailed information on brain network alterations can help us to further understand the mechanisms of epilepsy and pave the way for brain network-based precise therapeutic approaches in clinical practice.An increasing number of advanced neuroimaging techniques and electrophysiological techniques such as diffusion tensor imaging-based fiber tra ctography,diffusion kurtosis imaging-based fiber tractography,fiber ball imagingbased tra ctography,electroencephalography,functional magnetic resonance imaging,magnetoencephalography,positron emission tomography,molecular imaging,and functional ultrasound imaging have been extensively used to delineate epileptic networks.In this review,we summarize the relevant neuroimaging and neuroelectrophysiological techniques for assessing structural and functional brain networks in patients with epilepsy,and extensively analyze the imaging mechanisms,advantages,limitations,and clinical application ranges of each technique.A greater focus on emerging advanced technologies,new data analysis software,a combination of multiple techniques,and the construction of personalized virtual epilepsy models can provide a theoretical basis to better understand the brain network mechanisms of epilepsy and make surgical decisions.

Semi-reference image quality metric for virtual view images in free-viewpoint television

A semi-reference image quality assessment metric based on similarity measurement for synthesizedvirtual viewpoint image (WI) in free-viewpoint television system (FTV) is proposed in this paper. Thekey point of the proposed metric is taking resemblant information between WI and its neighbor view imagesfor quality assessment to make our metric to be extended to multi-semi-reference image quality assessmenteasily. The proposed metric first extracts impact factors from image features, then combines animage synthesis technique and similarity functions, in which, disparity information are taken into accountfor registering the resemblant regions. Experiments are divided into three phases. Phase Ⅰ is to verify thevalidation of the proposed metric by taking impaired images and original reference into account. The experimentalresults show the agreement between evaluation scores and bio-characteristic of human visualsystem. Phase Ⅱ shows the accordance with Phase Ⅰ by taking neighbor view as reference. The proposedmetric can be taken as a full reference one to evaluate the image quality even though the original referenceis absent. Phase Ⅲ is then performed to evaluate the quality of ⅤⅥ. Evaluation scores in the experimentalresults are able to evaluate the quality of ⅤⅥ.

Characterization for elastic constants of fused deposition modelling-fabricated materials based on the virtual fields method and digital image correlation

Fused deposition modelling(FDM), a widely used rapid prototyping process, is a promising technique in manufacturing engineering. In this work, a method for characterizing elastic constants of FDM-fabricated materials is proposed. First of all, according to the manufacturing process of FDM, orthotropic constitutive model is used to describe the mechanical behavior. Then the virtual fields method(VFM) is applied to characterize all the mechanical parameters(Q, Q, Q, Q) using the full-field strain,which is measured by digital image correlation(DIC). Since the principal axis of the FDM-fabricated structure is sometimes unknown due to the complexity of the manufacturing process, a disk in diametrical compression is used as the load configuration so that the loading angle can be changed conveniently. To verify the feasibility of the proposed method, finite element method(FEM) simulation is conducted to obtain the strain field of the disk. The simulation results show that higher accuracy can be achieved when the loading angle is close to 30?. Finally, a disk fabricated by FDM was used for the experiment. By rotating the disk, several tests with different loading angles were conducted. To determine the position of the principal axis in each test, two groups of parameters(Q, Q, Q, Q) are calculated by two different groups of virtual fields. Then the corresponding loading angle can be determined by minimizing the deviation between two groups of the parameters. After that, the four constants(Q, Q, Q, Q) were determined from the test with an angle of 27?.

Adaptive Virtual Source Imaging Using the Sequence Intensity Factor:Simulation and Experimental Study

Virtual source(VS)imaging has been proposed to improve image resolution in medical ultrasound imaging.However,VS obtains a limited contrast due to the non-adaptive delay-and-sum(DAS)beamforming.To improve the image contrast and provide an enhanced resolution,adaptive weighting algorithms were applied in VS imaging.In this paper,we proposed an adjustable generalized coherence factor(aGCF)for the synthetic aperture sequential beamforming(SASB)ofVS imaging to improve image quality.The value of aGCF is adjusted by a sequence intensity factor(SIF)that is defined as the ratio between the effective low resolution scan lines(LRLs)intensity and total LRLs strength.The aGCF-weighted VS(aGCF-VS)images were compared with standard VS images and GCF-weighted VS(GCF-VS)images.Simulation and experimental results demonstrated that the contrast ratio(CR)and contrastto-noise ratio(CNR)of aGCF-VS are greatly improved,compared with standard VS imaging.And in comparison with GCF-VS,aGCF-VS can obtain better CNR and speckle signal-to-noise ratio(sSNR)whilemaintaining similar CR.Therefore,aGCF is suitable for VS imaging to improve contrast and preserve speckle pattern.

Significance of an Advanced Image-Based Virtual Monoenergetic Reconstruction of Dual Source Dual-Energy CT Data at Low keV Increases Image Quality for Portal Vein System of Pancreatic Cancer Patients

Purpose: To explore the significance of dual-source computed tomography (DECT) virtual monoenergetic reconstructions technology in improving image quality for portal vein system of pancreatic cancer patients. Materials and methods: 47 patients with clinically suspected pancreatic cancer (all confirmed by pathology) were collected. Routine plain scan was performed with Siemens Force dual-source dual-energy CT followed by 3 scans respectively carried out in arterial phase, portal phase and delayed phase. Traditional virtual monoenergetic reconstructions (Mono_E) and new generation of virtual monoenergetic reconstructions (Mono+) were respectively performed on portal vein images to obtain virtual single energy images including Mono_ E70 keV, Mono_E 55 keV and Mono+ 70 keV and Mono+ 55 keV. The signal-to-noise ratio (SNR) and noise of portal vein, normal pancreatic tissues and pancreatic lesions of 100 kV, Mono_E and Mono+ images were compared. In addition, the contrast noise ratio of portal vein and lesions as well as pancreatic tissues and lesions (CNR PV, CNRtumor) were also compared. At the same time, two imaging physicians with rich clinical experiences read the films and scored the images of each group by using the 5-point scoring method. Results: Mono+ 55 keV images including SNRpv, SNRpanc, SNRtumor, Noise, CNRpv, CNRtumor were statistically different from 100 KV images and Mono_E images (P < 0.05). As for the subjective score, Mono+ 55 keV image score also had the highest score, which had statistical significance (P < 0.05). The results showed that Mono+ 55 keV images had the best quality. Conclusion: The new generation of virtual Mono+ post-treatment can reduce image noise. Low energy Mono+ images can improve the contrast between pancreatic cancer lesions and portal of pancreatic cancer patients.

Can preoperative planning using IRIS™three-dimensional anatomical virtual models predict operative findings during robot-assisted partial nephrectomy?

Objective To evaluate the predictive validity of IRIS™(Intuitive Surgical®,Sunnyvale,CA,USA)as a planning tool for robot-assisted partial nephrectomy(RAPN)by assessing the degree of overlap with intraoperative execution.Methods Thirty-one patients scheduled for RAPN by four experienced urologists were enrolled in a prospective study.Prior to surgery,urologists reviewed the IRIS™three-dimensional model on an iphone Operating System(iOS)app and completed a questionnaire outlining their surgical plan including surgical approach,and ischemia technique as well as confidence in executing this plan.Postoperatively,questionnaires assessing the procedural approach,clinical utility,efficiency,and effectiveness of IRIS™were completed.The degree of overlap between the preoperative and intraoperative questionnaires and between the planned approach and actual execution of the procedure was analyzed.Questionnaires were answered on a 5-point Likert scale and scores of 4 or greater were considered positive.Results Mean age was 65.1 years with a mean tumor size of 27.7 mm(interquartile range 17.5-44.0 mm).Hilar tumors consisted of 32.3%;48.4%of patients had R.E.N.A.L.nephrometry scores of 7-9.On preoperative questionnaires,the surgeons reported that in 67.7%cases they were confident that they can perform the procedure successfully,and on intraoperative questionnaires,the surgeons reported that in 96.8%cases IRIS™helped achieve good spatial sensation of the anatomy.There was a high degree of overlap between preoperative and intraoperative questionnaires for the surgical approach,interpreting anatomical details and clinical utility.When comparing plans for selective or off-clamp,the preoperative plan was executed in 90.0%of cases intraoperatively.Conclusion A high degree of overlap between the preoperative surgical approach and intraoperative RAPN execution was found using IRIS™.This is the first study to evaluate the predictive accuracy of IRIS™during RAPN by comparing preoperative plan and intraoperative execution.

A modeling method for virtual scene based on multi-view image sequence

Through the analysis and comparison of shortcomings and advantages of existing technologies on object modeling in 3D applications,we propose a new modeling method for virtual scene based on multi-view image sequence to model irregular objects efficiently in 3D application.In 3D scene,this method can get better visual effect by tracking the viewer's real-time perspective position and projecting the photos from different perspectives dynamically.The philosophy of design,the steps of development and some other relevant topics are discussed in details,and the validity of the algorithm is analyzed.The results demonstrate that this method represents more superiority on simulating irregular objects by applying it to the modeling of virtual museum.

Experiment Combined with Picture Archiving and Communication System in the Practical Teaching of Medical Imaging

Objective:To explore the application effect of virtual simulation experiment combined with picture archiving and communication system(PACS)in medical imaging practical teaching.Methods:97 students from the medical imaging class of 2022 were divided into two groups;the control group(n=48)was taught by the traditional teaching method,whereas the research group was taught by virtual simulation experiment combined with PACS(n=49).The teaching achievements and teaching effects of the two groups were compared to define the advantages of the two teaching modes.Results:Initially,there were no significant differences in the basic theory,image analysis,report writing,and differential diagnosis scores between the two groups of students(P>0.05);however,after 16 weeks of teaching,the scores of the research group were better than those of the control group(P<0.05);the pass rate of students in the study group(93.88%)was higher than that in the control group(81.25%);the scores of students in the research group in terms of clinical inquiry skills,X-ray/computed tomography/magnetic resonance imaging(X-ray/CT/MRI)operation skills,and doctor-patient communication skills were significantly higher than those in the control group(P<0.05).Conclusion:In medical imaging practical teaching,the application of virtual simulation experiment combined with PACS can effectively address several problems in the traditional teaching mode,including the single teaching method,the single teaching content,and the lack of innovation,and,at the same time,improve students’basic theoretical knowledge,X-ray/CT/MRI operation skills,consultation skills,and doctor-patient communication skills,thereby effectively improving the teaching quality and learning effect.

双能量CT非线性融合和噪声优化的虚拟单能量图像技术在喉鳞状细胞癌中的应用

目的:探讨双能量CT线性融合图像(linear blending imaging,LBI)、非线性融合图像(nonlinear blending image,NBI)和噪声优化的虚拟单能量图像(noise-optimized virtual monoenergetic image,VMI+)技术在喉鳞状细胞癌中的应用价值。方法:回顾性分析2019年6月至2022年3月61例经病理证实为喉鳞状细胞癌患者的双能量CT资料。双能量图像采用LBI[融合系数为1(80 kV)和0.6(M0.6)]、NBI和VMI+(40 keV、55 keV)技术重建。比较5组图像的客观图像质量[对比噪声比(contrast-tonoise ratio,CNR)、肿瘤CT值、噪声]和主观图像质量(肿瘤边界评分和整体图像质量评分)。结果:40 keV的CNR、肿瘤CT值和肿瘤边界评分均明显高于80 kV、M0.6、NBI和55 keV,差异均有统计学意义(均P<0.05)。NBI的整体图像质量评分明显高于80 kV、M0.6、40 keV和55 keV,差异均有统计学意义(均P<0.05)。NBI的噪声明显低于80 kV、40 keV和55 keV,差异均有统计学意义(均P<0.05)。结论:在喉鳞状细胞癌的双能量CT中,采用VMI+技术(40 keV)能提供更好的CNR、肿瘤CT值和肿瘤边界,采用NBI技术能提供更低的噪声和更好的整体图像质量。

数字图像处理及应用虚拟仿真实验平台设计

针对数字图像处理及应用实验教学的需要,结合当下图像处理技术的热点应用,利用虚拟仿真技术、交互操作等信息化手段进行实验教学,设计并开发了数字图像处理及应用虚拟仿真实验教学平台。实验教学平台包含交通标志数字图像处理、图像分类、图像识别、视频处理、自动驾驶应用等5个虚拟仿真实验教学资源,共13个交互实验步骤。该平台特色显著、虚实结合,达到了良好的教学效果,为“新工科”背景下的虚拟仿真实验教学提供有益的参考。

基于虚拟现实的大视差图像网格优化拼接算法

图像亮度、局部区域信息强度影响图像清晰度,导致图像拼接效果不佳,为提升图像拼接效果,提出一种基于虚拟现实的大视差图像网格优化拼接算法。基于虚拟现实技术建立一个虚拟现实拼接环境,在此环境下开展图像拼接处理,对待拼接图像实施灰度化处理,增强图像局部区域信息强度;基于投影算法建立低密度的网格,并根据待拼接图像的匹配点分布结果建立网格矩阵,结合全局最佳相似变换矩阵实施矩阵加权叠加,对图像重叠区域展开失真校正;使用内容感知算法对图像重叠区域展开感知识别,找出其中的积累最小像素线,实施图像融合处理,通过融合结果完成大视差图像网格优化拼接。实验结果表明,使用该方法开展图像拼接时,图像拼接时间较短,均方根误差较低,拼接效果较好。

双低剂量技术在双能量头颈部CT血管成像中的应用

目的 探讨双低剂量扫描技术在双能量头颈部CTA扫描中的可行性。方法 前瞻性收集2021年1月~2021年5月间本院102名因头颈部血管疾病行头颈部CTA的患者纳入研究,随机分为CD、DLD两组,CD组行常规剂量扫描,DLD组行双低剂量扫描;分别对两组图像行MIP、VR、 MPR、 CPR、双能量去骨去钙化等后处理,用5分法对两组图像质量进行主观评价,选取颈总动脉起始部、颈内动脉起始部和大脑中动脉M1段测量血管的噪声、SNR、CNR,记录2组患者的x线剂量参数,包括CTDIvol(mGy)和DLP(mGy·cm),计算其有效剂量ED(mSv),亦计算2组患者的碘摄入量I(mg),对结果进行统计学分析。结果 CD组与DLD组的主观图像质量评分均≥3分,均能满足诊断的要求。2名医师对2组图像质量评价的一致性好(Kappa值分别为0.817、0.82 5)。2名医师对2组图像的主观质量评分的差异无统计学意义(Z=-0.572、-0.2 83,均P>0.05)。CD组与DLD组图像各层面血管CT值的差异均无统计学意义(t=-0.05、0.689、0.906,均P<0.05);颈内动脉起始部、大脑中动脉M1段层面血管噪声、SNR、CNR的差异均无统计学意义(t=-0.830~1.842,均P>0.05);颈总动脉起始部层面CD组噪声大于DLD组(t=2.855,P<0.05),SNR、CNR小于DLD组(t=-4.959、-5.041,均P<0.05)。DLD组患者C TDIvol、DLP及ED较CD组分别降低36.9%、35.3%、35.2%(t=186.138、37.753、37.753,均P<0.05)。DLD组患者碘摄入量较CD组降低57.1%(10.5g VS.245g)。结论 双低剂量双能量头颈部CTA扫描技术在不影响图像质量的前提下,降低了患者接受的辐射剂量和对比剂碘摄入量。

基于VR一体机的古生物三维虚拟复原软件系统设计

古生物化石复原对于古生物、古地理、古气候等研究具有重大意义,但存在模型复原制作难度大、工艺成本高等问题。本文基于VR一体机硬件平台,利用虚拟现实技术开发了古生物三维虚拟复原软件系统。通过建模软件3DMax联合ZBrush精雕复原实物模型,基于三维引擎Unity3D与SteamVR协同开发了还原度高的三维空间程序,打造了交互物体展示和场景漫游控制相结合的“沉浸式”拟真三维操作环境。经HTCVIVE VR一体机对软件系统测试结果显示,软件运行流畅,具有很强的通用性,模型导入方便,交互功能便于二次开发扩展。

基于虚拟样本伪标签生成的高光谱图像分类

半监督高光谱图像分类的精度一般随着标记像素数的增加而提高.然而,标签样本的获得费时费力,且依赖于专家知识.针对这个问题,提出了一种通过少量标签样本生成具有伪标签的虚拟样本新方法.基于数学中的凸集理论,所提出的方法利用少量的训练样本可以生成任意多的带有伪标签的虚拟样本,有效地扩大了训练样本集,明显改善了半监督分类器的分类结果.为了验证所提方法的有效性,在Indian Pines和Pavia University两个常用的实际高光谱数据集上进行了广泛测试.实验结果表明,利用所提出的方法在分类具有少量标签样本的高光谱图像时,3个评价分类结果的指标值均有明显提升.

基于BOPPPS教学模式下的虚拟现实技术在医学影像诊断教学中的运用研究

目的探讨基于BOPPPS教学模式下的虚拟现实技术在医学影像诊断教学中的运用及教学效果。方法60名临床医学专业实习学生被随机分为两组,每组30名。研究组采用基于BOPPPS教学模式下运用虚拟技术进行教学,对照组采用多媒体幻灯片的传统教学方法进行教学,比较两组学员的出科考核成绩、满意度等情况。结果研究组出科理论成绩、读片分析成绩、总成绩均高于对照组,差异均有统计学意义(t分别=7.50、16.14、16.55,P均<0.05)。研究组学生在巩固影像学基础知识、阅片思维能力提高、理论与临床同步、增强自我学习能力、对带教老师的满意度等方面的满意度及总满意度均高于对照组,差异均有统计学意义(t分别=14.64、11.40、11.53、11.16、10.52、29.45,P均<0.05)。结论基于BOPPPS教学模式下的虚拟现实技术可提高教学质量和教学效果,为医学影像教学提供了新的教学模式。

“虚拟IP+场景力”:知音文化传播和武汉城市发展策略——基于四川眉山数字代言人“苏小妹”的启示

数字技术的发展推动了城市信息化应用水平的提高,智慧城市建设应运而生,纷纷推出独具地方特色的数字代言人进行城市宣传,为城市的智慧化构建助力。在民国时期就被誉为“东方芝加哥”的武汉,其地理、经济、政治、文化水平都处于全国前列,在智慧化城市发展的浪潮中,需要积极结合自身情况探索出独树一帜的智慧城市发展路径。武汉市可依托源远流长的知音文化,将深厚的文化内涵融入数字形象代言人的打造中,通过沉浸式场景提升市民文化体验,形成“城市文化+虚拟IP+场景力”的城市文化空间,充分借助新技术、新载体,传播武汉传统文化,促进武汉城市发展。

3种方法单独及联合诊断甲状腺微小结节的价值比较

目的 比较二维高频超声、声脉冲辐射力成像(ARFI)-声触诊组织定量(VTQ)技术及应变弹性成像3种方法单独及联合诊断甲状腺微小结节良恶性的价值。方法 回顾性分析2021年6月—2023年6月在陕西省宝鸡市人民医院就诊的99例(107个甲状腺微小实性结节)结节直径≤10.0 mm患者的临床资料,均采用二维高频超声、ARF-VTQ技术及应变弹性成像进行检查,获得超声资料评分及数据,以穿刺活检和手术病理结果为诊断“金标准”,比较3种超声检查方法单独及联合应用对甲状腺微小结节的诊断效能。结果 62例患者(共68个结节)选择FNAB,37例患者(共39个结节)选择手术。107个甲状腺微小结节中,诊断为恶性微小结节45个,良性微小结节62个。恶性微小结节与良性微小结节相比,结节内回声(等回声和高回声、极低回声和低回声)、边界、微钙化、纵横比>1及血供情况和供血动脉阻力指数(RI)比较,差异均有统计学意义(P<0.05)。二维高频超声诊断甲状腺微小结节C-TIRADS积分临界值≥2分(C-TIRADS 4b)时,诊断灵敏度为73.33%,特异度为79.03%,曲线下面积[AUC(95%CI)]为0.762(95%CI:0.670~0.839);ARFI-VTQ技术中,107个甲状腺微小结节SWV测值为0.52~7.55 m/s,平均(2.62±0.61)m/s,其中24个实性结节多次出现×.××m/s,最后测值以7.55 m/s记录。恶性微小结节SWV均值为(5.24±2.23) m/s,高于良性微小结节的(2.11±0.70) m/s,差异有统计学意义(t=10.258,P<0.05);当SWV临界值为3.19 m/s时,诊断灵敏度为77.78%,特异度为80.65%,AUC(95%CI)为0.792(95%CI:0.703~0.865);应变弹性成像检查中,当评分临界值≥3分时,诊断的灵敏度为75.56%,特异度为77.42%,AUC(95%CI)为0.765(95%CI:0.673~0.841)。三者联合应用诊断的阳性微小结节为44个,阴性微小结节63个,诊断灵敏度为93.33%,特异度为96.77%,AUC(95%CI)为0.951(95%CI:0.891~0.983)。三者联合诊断效能与二维高频超声检查、ARFI-VTQ、应变弹性成像单独检测比较,差异均有统计学意义(Z=4.861、4.393、4.842,P<0.05)。结论 二维高频超声联合ARFI-VTQ技术及应变弹性成像可提高甲状腺微小结节良恶性的诊断准确性。

塞曼效应实验之虚拟仿真与电脑辅助对比分析

塞曼效应实验通过测量汞绿光在磁场中分裂谱线的波长差计算电子的荷质比。电脑辅助版塞曼效应实验利用CCD图像采集卡将法布里-珀罗标准具等倾干涉图像采集到电脑,再利用塞曼效应实验分析软件对图像进行处理,测出光分裂的谱线波长差,计算出电子荷质比。虚拟仿真型塞曼效应实验则是利用科大奥锐提供的虚拟仿真实验系统,从实验仪器的摆放、调试到测量及数据处理,实现对塞曼效应实验的全程模拟仿真。电脑辅助版塞曼效应实验克服了过去手工测量的诸多缺陷,但并没有解决所有不足,还带来一些新问题。塞曼效应虚拟仿真实验几乎解决了传统塞曼效应实验所遇到的所有问题,只要必要的步骤操作到位,就可以得到理想的实验结果。通过研究分析,深刻认识到两种实验方式相互不能完全替代,但可以作为有益补充。

乳腺癌患者HER2、CA153表达与声触诊组织成像定量技术参数的相关性分析

目的:分析乳腺癌患者人表皮生长因子受体2(HER2)、糖类抗原153(CA153)表达与声触诊组织成像定量(VTIQ)技术参数的相关性。方法:选取2018年5月至2020年5月合肥市第三人民医院收治的80例女性乳腺癌患者,其中世界卫生组织(WHO)分期Ⅰ期14例、Ⅱ期22例、Ⅲ期31例、Ⅳ期13例;另选取同时间段收治的53例女性乳腺良性疾病患者为对照。所有患者先行常规超声检查,随后进入超声VTIQ成像模式获得剪切波速度(SWV)均值参数;采用免疫组织化学法检测乳腺组织中HER2表达,采用罗氏E411电化学发光免疫分析仪检测血清CA153水平;采用Pearson法分析乳腺癌患者血清CA153水平与SWV均值的相关性。结果:与良性患者比较,乳腺癌患者VTIQ技术参数SWV均值、血清CA153水平及HRR2阳性表达率均显著升高,差异有统计学意义(F=39.107,78.353,P<0.05);与乳腺癌Ⅰ+Ⅱ期患者比较,乳腺癌Ⅲ、Ⅳ期患者VTIQ技术参数SWV均值、血清CA153水平、HRR2阳性表达率均显著升高,差异有统计学意义(t=2.685、3.556、8.326、10.455,P<0.05);与乳腺癌Ⅲ期比较,乳腺癌Ⅳ期患者VTIQ技术参数SWV均值、血清CA153水平、HRR2阳性表达率均显著升高,差异有统计学意义(t=4.632、8.659,P<0.05)。与HER2阴性表达乳腺癌患者SWV均值比较,HER2阳性表达乳腺癌患者SWV均值升高,差异有统计学意义(χ^(2)=59.751,P<0.05)。乳腺癌患者血清CA153水平与SWV均值呈正相关(r=0.501,P<0.05)。结论:乳腺癌患者VTIQ参数SWV均值与乳腺癌患者生物标志物HER2、CA153表达水平密切相关。