Back issue
Content of Original Research in our journal
Published in last 1 year | In last 2 years | In last 3 years | All
Please wait a minute...
For Selected: Toggle Thumbnails
Clinical Application of Ultrasound Tomography in Diagnosis of Musculoskeletal Diseases
Cong Wei, MD, Hui Zhang, PhD, Tao Ying, MD, Bing Hu, MD, Yini Chen, MD, Hongtao Li, MD, Qiude Zhang, PhD, Mingyue Ding, PhD, Jie Chen, MD, Ming Yuchi, PhD, Yuanyi Zheng, MD
Advanced Ultrasound in Diagnosis and Therapy    2024, 8 (1): 7-14.   DOI: 10.37015/AUDT.2024.230060
Abstract123)   HTML7)    PDF(pc) (1559KB)(153)       Save

Objective To evaluate the feasibility and capability of UT in detecting musculoskeletal system lesions in the limbs and to explore its image quality.

Materials and Methods The Institutional Review Board has approved this prospective single-center study. This study included participants with various musculoskeletal and neurologic disorders in the limbs who provided written consent from October 2022 to April 2023. In addition to other radiological examinations (X-rays, CT, or MRI) and conventional handheld ultrasound scans requested by clinicians based on the conditions, each participant also underwent UT scanning using our developed limb ultrasound imaging system during the same period. Four radiologists and ultrasound physicians with more than five years of experience in musculoskeletal diagnostics analyzed the two-dimensional and three-dimensional images of the examination area.

Results Overall, 50 participants were evaluated (mean age, 36 years ± 18 [SD]; 26 males). The conditions included musculoskeletal tumors (n = 10), postoperative follow-up of musculoskeletal tumors (n = 20), peripheral nerve disorders in the limbs (n = 10) and postoperative pain in orthopedic surgery (n = 10). In all UT images, the region of interest was completely displayed, and internal structures such as muscles and nerves were clearly visible. Compared to conventional ultrasound images, the reconstructed three-dimensional images intuitively displayed the relationship between the lesions and surrounding tissues. Furthermore, UT did not exhibit metal artifacts when observing soft tissues around metallic implants, providing more comprehensive soft tissue information and more intuitive stereoscopic images.

Conclusion Clinical results of the UT system have demonstrated its feasibility as an automated and standardized imaging technique for musculoskeletal imaging, providing a new imaging modality for the diagnosis of musculoskeletal diseases in the human body.

Table and Figures | Reference | Related Articles | Metrics
Diagnostic Utility of Superb Microvascular Imaging of ultrasound Examinations to Evaluate Hepatic Ischemia-reperfusion Injury
Guoying Zhang, MD, Ying Tang, BS, Mingyang Wang, MD, Weina Kong, MD
Advanced Ultrasound in Diagnosis and Therapy    2024, 8 (1): 15-21.   DOI: 10.37015/AUDT.2024.230010
Abstract58)   HTML3)    PDF(pc) (1210KB)(86)       Save

Objective To investigate the effectiveness of SMI in evaluating hepatic IRI and detecting its therapy response.

Methods Thirty rats were randomly divided into sham (n = 12), IRI (n = 12), and andrographolide pretreatment (n = 6) groups. SMI, pathological, and biochemical examinations were conducted for the sham and IRI groups at 4 (n = 6) and 24 h (n = 6) after reperfusion, respectively. Two ultrasonologists measured the vascular index (VI). The interobserver agreement was evaluated using the intraclass correlation coefficient (ICC). The rat liver parameters, including Suzuki's score, alanine aminotransferase (ALT), and aspartate aminotransferase (AST), were obtained at different time steps in each group. For the andrographolide pretreatment group, data were obtained at 24 h after reperfusion to further verify the advantage of VI. Parameters were analyzed for correlations and compared between each group at 4 and 24 h.

Results The ICC between two ultrasonologists who measured the VI was 0.912 (95%CI: 0.889-0.940). Suzuki's score and VI were negatively correlated (r = -0.504, P = 0.012). Compared with the sham group, the IRI group showed a significant decrease in the VI at 4 and 24 h after reperfusion [(24.78 ± 3.23) versus (20.22 ± 2.55); (22.67 ± 1.36) versus (19.27 ± 2.23), P < 0.05)]. The VI in the andrographolide pretreatment group was higher than that in the IRI group [(21.90 ± 1.47) versus (19.27 ± 2.23), P <0.05].

Conclusions The VI on SMI can be used as a noninvasive and sensitive index to evaluate hepatic IRI and detect its therapeutic response.

Table and Figures | Reference | Related Articles | Metrics
Identification of Differently Expressed miRNAs and Genes between Benign Prostatic Hyperplasia and Prostate Cancer
Yuqing Huang, MD, Cui Lei, BS, Xinyu Zhao, PhD, Jing Xiao, PhD, Xian-Quan Shi, PhD
Advanced Ultrasound in Diagnosis and Therapy    2024, 8 (1): 22-28.   DOI: 10.37015/AUDT.2024.230044
Abstract48)   HTML3)    PDF(pc) (1216KB)(76)       Save

Objective MicroRNAs (miRNAs) play important roles in various diseases’ development and progression. The aim of this study is to identify the differently expressed miRNAs (DEmiRNAs) and differently expressed genes (DEGs) between BPH and PCa.

Methods Selecting BPH and PCa tissues from GEO database (GSE118038 as test dataset; GSE30994 as validation dataset), we identified DEmiRNAs and DEGs between BPH and PCa using GEO2R online tool and “Deseq2” R package. We applied random forest method to select hub DEmiRNAs, combining age and BMI, to establish a nomogram model for BPH detection. Finally, GO and KEGG enrichment analyses were conducted to explore the underlying mechanisms and pathways of DEmiRNAs in BPH.

Results We found 26 DEmiRNAs between BPH and PCa, of which 21 DEmiRNAs were up-regulated and 5 DEmiRNAs were down-regulated. Via forest random method, we selected miR-636, miR-324-3p, miR-210-3p and miR-3615 as hub DEmiRNAs in BPH. Combing these four hub DEmiRNAs, age and BMI, we established a nomogram model to distinguish BPH from PCa. Through “miRWalk” online tool, we targeted 499 hub DEGs between BPH and PCa, and found most of genes enriched in muscle system process, muscle contraction, contractile fiber, myofibril, actin binding, passive transmembrane transporter activity, focal adhesion, axon guidance.

Conclusion Our results suggested that miR-636, miR-324-3p, miR-210-3p and miR-3615 might the hub DEmiRNAs between BPH and PCa, which may play a crucial role to distinguish BPH from PCa.

Table and Figures | Reference | Related Articles | Metrics
A Non-Invasive Follicular Thyroid Cancer Risk Prediction System Based on Deep Hybrid Multi-feature Fusion Network
Yalin Wu, PhD, Qiaoli Ge, MM, Linyang Yan, PhD, Desheng Sun, MD
Advanced Ultrasound in Diagnosis and Therapy    2023, 7 (4): 373-380.   DOI: 10.37015/AUDT.2023.230023
Abstract128)   HTML15)    PDF(pc) (14856KB)(213)    PDF(mobile) (1038KB)(4)    Save

Objective A non-invasive assessment of the risk of benign and malignant follicular thyroid cancer is invaluable in the choice of treatment options. The extraction and fusion of multidimensional features from ultrasound images of follicular thyroid cancer is decisive in improving the accuracy of identifying benign and malignant thyroid cancer. This paper presents a non-invasive preoperative benign and malignant risk assessment system for follicular thyroid cancer, based on the proposed deep feature extraction and fusion of ultrasound images of follicular thyroid cancer.

Methods First, this study uses a convolution neural network (CNN) to obtain a global feature map of the image, and the fusion of global features cropped to local features to identify tumor images. Secondly, this tumour image is also extracted by googleNet and ResNet respectively to extract features and recognize the image. Finally, we employ an averaging algorithm to obtain the final recognition results.

Results The experimental results show that the method proposed in this study achieved 89.95% accuracy, 88.46% sensitivity, 91.30% specificity and an AUC value of 96.69% in the local dataset obtained from Peking University Shenzhen Hospital, all of which are far superior to other models.

Conclusion In this study, a non-invasive risk prediction system is proposed for ultrasound images of thyroid follicular tumours. We solve the problem of unbalanced sample distribution by means of an image enhancement algorithm. In order to obtain enough features to differentiate ultrasound images, a three-branched feature extraction network was designed in this study, and a balance of sensitivity and specificity is ensured by an averaging algorithm.

Table and Figures | Reference | Related Articles | Metrics
Ultrasonographic Identification of Muscle Atrophy in Hamstring Muscles after Anterior Cruciate Ligament Repair among Soccer Players: A Case-control Study
Sebastián Eustaquio Martín Pérez, MSc, Raúl Hernández García, PT, Alberto Brito Lorenzo, PT, Carlos Daniel Sabater Cruz, PT, Mario Herrera Pérez, PhD, Fidel Rodríguez Hernández, PhD, Kristin Briem, PhD, Isidro Miguel Martín Pérez, MD
Advanced Ultrasound in Diagnosis and Therapy    2023, 7 (4): 381-389.   DOI: 10.37015/AUDT.2023.230036
Abstract348)   HTML105)    PDF(pc) (14949KB)(344)    PDF(mobile) (986KB)(114)    Save

Objectives To measure the CSA of the HST musculature measured with ultrasonography in soccer players undergoing ACLR and compare limb differences with healthy controls.

Methods A case-control study was performed with patients after anterior cruciate ligament repair (ACLR) and healthy controls in which cross-sectional areas (CSA) obtained using a model TE7 ultrasound machine (MINDRAY ®, USA) in B mode (4.2 to 13 MHz) with a multifrequency linear array transducer (L12-4S). Three CSA images were taken of the semitendinosus muscle (ST) and the long head of the biceps femoris (BFlh), at a distance of 30% and 70% of the ischial tuberosity insertion. Mean differences between groups were analyzed using SPSS v.20 (IBM®, USA), and statistical analyses were performed using non-parametric techniques to determine differences between groups (Student's t-test) and Cohen's correlation coefficient to quantify effect size.

Results 14 ACLR operated 17 ± 5.4 months ago and 12 healthy controls (W = 6; M = 20M; 24.5 ± 3.92 years; BMI = 25.1 ± 2.32 kg/m2) were recruited. There were differences between groups in CSA-ST70 (Post-ACLR = 1.43 ± 1.029 cm2 vs Control 2.65 ± 0.664 cm2, T Student = -3.68, 95% CI [-Inf, -0.648], P < 0. 001, ES = -1.418), but not in CSA-ST30 (Post-ACLR = 8.42 ± 1.596 cm2 vs Control 9.16 ± 0.945 cm2, T Student = -1.535; 95% CI [-Inf, -0.0793], P = 0. 068, ES = -0.5607), CSA-BFlh30 (Post-ACLR = 8.79 ± 1.47 cm2 vs Control 8.87 ± 2.312 cm2, T Student = -0.123; 95% CI [-Inf, 1.1049], P = 0.452, ES = -0. 049) or CSA-BFlh70 (Post-ACLR = 6.91 ± 1.011 cm2 vs Control 7.01 ± 1.453 cm2, T Student = -0.214; 95% CI [-Inf, 0.6795], P = 0.416, ES = -0.0783).

Conclusion Ultrasound measurement of the CSA can be an image marker to identify muscle weakness or atrophy that predicts functional loss early.

Table and Figures | Reference | Related Articles | Metrics
Evaluation of the Effect of Age on Median Nerve Cross-sectional Area: A Cross-sectional Study
Seyed Mansoor Rayegani, MD, Masume Bayat, MD
Advanced Ultrasound in Diagnosis and Therapy    2023, 7 (4): 390-393.   DOI: 10.37015/AUDT.2023.220047
Abstract67)   HTML11)    PDF(pc) (13958KB)(141)    PDF(mobile) (840KB)(2)    Save

Objective This cross-sectional study was designed considering disagreements on the normal range of Median Nerve Cross-Sectional Area (MNCSA) and its association with age.

Methods In this cross-sectional descriptive study, the upper limbs of 98 healthy subjects (46 men and 52 women) were assessed bilaterally by sonography, and MNCSA was measured at the distal wrist crease.

Results Mean MNCSA values for subjects older and younger than 40 were 11.25 mm2 and 10.21 mm2, respectively. The results showed that the MNCSA significantly increased after 40 years of age.

Conclusion According to the present study's findings, advances in age can increase the MNCSA and affect the diagnostic accuracy of MNCSA measurement in CTS diagnosis.

Table and Figures | Reference | Related Articles | Metrics
The Value of VTTQ Combined with B-mode US for Distinguishing Benign from Malignant Breast Masses by Comparing with SE: A Clinical Research
Lujing Li, MD, Zuofeng Xu, MD
Advanced Ultrasound in Diagnosis and Therapy    2023, 7 (4): 394-400.   DOI: 10.37015/AUDT.2023.220041
Abstract74)   HTML4)    PDF(pc) (14051KB)(69)    PDF(mobile) (881KB)(1)    Save

Objective The purpose of this study was to compare the diagnostic performance of virtual touch tissue quantification (VTTQ) combined with B-mode ultrasonograpgy (US), strain elastography (SE) combined with B-mode US and B-mode US alone in differentiating the properties of breast lesions.

Methods A retrospective database was queried for 283 healthy subjects and 100 consecutive patients with 130 breast lesions. All the cases were examined by B-mode US, VTTQ and SE. Histological diagnosis was used as the reference standard. The area under the receiver operating curve (AUC) values of each data set was compared.

Results Twenty-two lesions were determined as malignant and 108 as benign. The best cutoff point of VTTQ was 7.82 m/s. The AUC of B-mode US combined with VTTQ or SE was greater than that of B-mode US alone (0.913 or 0.918 vs. 0.797) (P = 0.007 and 0.012).

Conclusion Both VTTQ and SE could give help to B-mode US in distinguishing benign from malignant breast lesions about elastography values. There was no difference between them.

Table and Figures | Reference | Related Articles | Metrics
Point of Care Ultrasound Training in Military Medical Student Curriculum
Bradley Havins, MD, Michael Nguyen, MS, Ryan Becker, MS, Chusila Lee, MS, Siri Magadi, MS, Choi Heesun, DO
Advanced Ultrasound in Diagnosis and Therapy    2023, 7 (4): 401-404.   DOI: 10.37015/AUDT.2023.230003
Abstract80)   HTML4)    PDF(pc) (13819KB)(138)    PDF(mobile) (786KB)(0)    Save

Objective VaveHealth is a company that developed an app-based POCUS (Point of Care Ultrasound) education platform. Our objective is to provide educators with insights into novel approaches to medical education by comparing the platform to PowerPoint-based education, the standard and current technique used to instruct medical students in the United States.

Methods We used a non-inferiority study to assess if the app-based platform was not less efficacious than the current standard of PowerPoint-based education. Thirty-three military medical students were provided with app-based or PowerPoint-based education for instructions on performing a focused assessment with sonography for trauma (FAST exam). Physicians evaluated each image and assigned a score from 1-5. The final scores were the average of all views. In addition, a two-sample t-test of the final scores and each view of the FAST was used to measure whether the VaveHealth platform was non-inferior to a PowerPoint-based model.

Results Overall, the VaveHealth group had lower average scores on each view and a lower average total score. There was no statistically significant difference in overall scores (VaveHealth = 7.65, PowerPoint = 9.04, P = 0.07). Subgroup analysis showed no statistically significant difference in student performance in the views of the splenorenal recess (VaveHealth score = 1.60, PowerPoint score = 1.65, P = 0.42), hepatorenal recess (VaveHealth score = 2.45, PowerPoint score = 3.00, P = 0.11), and suprapubic (VaveHealth score = 2.10, PowerPoint score = 2.46, P = 0.23) regions. In the subxiphoid region, students in the VaveHealth had a statistically significantly lower average score (VaveHealth score = 1.70, PowerPoint score = 2.08, P = 0.04).

Conclusion VaveHealth education is not a viable alternative to traditional PowerPoint education for POCUS training based on the lower raw scores and statistically significantly lower scores on one of the views of the FAST exam.

Table and Figures | Reference | Related Articles | Metrics
Ultrasound-Guided Attenuation Parameter May Replace B-mode Ultrasound in Diagnosing Nonalcoholic Fatty Liver Disease
Bo Jiang, MD, Yiman Du, MD, Xiang Fei, MD, Jianing Zhu, MD, Lianhua Zhu, MD, Qiuyang Li, MD, Yukun Luo, MD, PhD
Advanced Ultrasound in Diagnosis and Therapy    2023, 7 (3): 260-266.   DOI: 10.37015/AUDT.2023.220037
Abstract121)   HTML12)    PDF(pc) (11847KB)(71)    PDF(mobile) (1107KB)(3)    Save

Objective: To compare the diagnostic sensitivity and consistency of ultrasound-guided attenuation parameter (UGAP) with B-mode ultrasound in nonalcoholic fatty liver disease (NAFLD) patients, and explored their correlation with clinical indicators.
Methods: Patients suspected of NAFLD from July to November 2021 were enrolled in this prospective study. After performing the B-mode ultrasound and UGAP examination, all patients were divided into four groups according to the grade of NAFLD obtained by two modalities, respectively. The diagnostic agreement of the two modalities were evaluated, and the diagnostic sensitivity was compared by the McNemar test. The correlation between clinical indicators and the attenuation coefficient (AC) of UGAP was analyzed by linear regression.
Results: The intraclass correlation coefficient of UGAP was 0.958 (95%CI: 0.943,0.970), while the kappa value of B-mode ultrasound grading was 0.799 (95%CI: 0.686, 0.912). The diagnostic sensitivity of UGAP was higher than that of B-mode ultrasound (99.0% vs. 32%, P < 0.001). BMI and TG can be distinguished in different grades of NAFLD diagnosed by B-mode ultrasound, while BMI, ALT, HDL, and Apo A can be distinguished in different grades of NAFLD diagnosed by UGAP. BMI (r = 0.502, P < 0.001), ALT (r = 0. 396, P < 0.001), TG (r = 0.418, P < 0.001), HDL (r = -0. 359, P < 0.001) and Apo A (r = -0.228, P = 0.020) were linearly correlated with the AC value of UGAP.
Conclusions: Compared with the B-mode ultrasound, UGAP had a higher sensitivity and consistency in diagnosing NAFLD, and correlated well with some laboratory indicators, which may be more valuable in screening and diagnosis of NAFLD.

Table and Figures | Reference | Related Articles | Metrics
Localization of Nonpalpable Breast Lumps by Ultrasound Local Coordinates and Skin Inking: A Randomized Controlled Trial
Leila Bayani, MD, Donya Goodarzi, BS, Reza Mardani, MD, Bita Eslami, PhD, Sadaf Alipour, MD
Advanced Ultrasound in Diagnosis and Therapy    2023, 7 (3): 267-271.   DOI: 10.37015/AUDT.2023.220033
Abstract120)   HTML6)    PDF(pc) (11705KB)(69)    PDF(mobile) (764KB)(3)    Save

Background and Purpose: Surgery of ultrasound-detected non-palpable breast lesions should be guided by ultrasound. Commonly radiologists localize the lesion under ultrasound preoperatively, which necessitates the availability of a localization device and may involve a substantial cost. We performed a study to prospectively assess the feasibility of ultrasound-guided localization without any special device.
Methods: Women with non-palpable benign breast masses were assigned to the “guide wire insertion” (GWI) or the “local coordinates and skin inking” (LOCSI) groups. In both groups, the tumor was marked as a shadow on the skin by the radiologist under ultrasound. In the GWI group, a guidewire was inserted, and in the LOCSI group, the local coordinates of the lesion relative to the skin and the nipple as well as its clockwise placement were reported.
Results: Overall, 29 cases were included in the study, 11 in the GWI and 18 in the LOCSI groups. In all cases, the specimen was correctly excised. The weights of the resected specimens were significantly higher with GWI; LOCSI prevented excessive tissue extraction. Clinicians reported LOCSI as “very easy” more frequently, and surgery took less time.
Conclusions: Overall, our study showed that LOCSI was feasible and can be a suitable method in areas with limited resources. We propose similar studies with a larger sample size, inclusion of malignant cases for margin assessment, and estimation of the cost-effectiveness of the technique.

Table and Figures | Reference | Related Articles | Metrics
Lung Nodule Classification in CT Images Using Improved DenseNet
Xiuping Men, PhD, Vladimir Y. Mariano, PhD, Aihua Duan, PhD, Xiaoyan Shi, PhD
Advanced Ultrasound in Diagnosis and Therapy    2023, 7 (3): 272-278.   DOI: 10.37015/AUDT.2022.220018
Abstract135)   HTML3)    PDF(pc) (831KB)(103)    PDF(mobile) (1277KB)(1)    Save

Objective: Computed tomography (CT) imaging of the chest is an effective diagnostic tool assisting physicians in making a diagnosis. This study aimed to propose a new convolutional neural network for classifying the lung nodules of the patient through chest CT scan data to determine whether the patient has related disease genes.
Methods: We proposed a DenseNet-based neural network structure that uses multi-scale convolutional kernels to obtain features of different receptive fields, which are fed into a DenseNet containing four improved DenseBlocks, followed by a classification module to obtain the model output, i.e., whether a lung nodule contains a cancer gene. We conducted classification experiments on a CT scan dataset containing 465 training samples and 117 test samples.
Results: The results showed that DenseNet was better than ResNet in terms of classification, whereas ResNet was better than VGG, which was consistent with the findings of previous studies. However, because these models were more complex, they suffered from overfitting problems. Among all of the models used in this paper, our proposed network achieved the best results in terms of accuracy, F1 score, and sensitivity without an over fitting. The accuracy was 72.0%, sensitivity was 78%, and F1 score was 68%.
Conclusion: The proposed DenseNet neural network can improve and assist medical imaging diagnostic physicians in the initial diagnosis of lung nodules.

Table and Figures | Reference | Related Articles | Metrics
Comparison of Sonographic Quantitative Assessment of Splenomegaly in Thalassemia Patients Receiving Whole Blood and Packed Red Cell Transfusions
Muhammad Arif Afridi, MS , Raham Bacha, PhD , Nadeem Ullah, BS , Syed Muhammad Yousaf Farooq, PhD , Malik Mairaj Khalid, BS , Imran Khan, BS , Ashfaq Ahmad, Mujahid Sher, PhD
Advanced Ultrasound in Diagnosis and Therapy    2023, 7 (3): 279-284.   DOI: 10.37015/AUDT.2023.220039
Abstract125)   HTML4)    PDF(pc) (11762KB)(36)    PDF(mobile) (812KB)(2)    Save

Objective: An observational cross-sectional study to assess sonographic splenomegaly quantitatively in thalassemia patients grouped with respect to transfusion given whole blood vs packed red cells.
Methods: A study was conducted among 330 patients equally divided into two groups, undergoing an abdominal ultrasound examination with a transducer frequency ranging from 3-5 MHz during the period December 2021 to August 2022. An independent t-test was applied to compare the splenic volume in thalassemia patients given whole blood transfusions versus packed red cells transfusions, and Cohen's d was used to indicate the standardized difference between two ultrasound splenic volume means.
Results: The mean splenic volume of the patients who received whole blood cells was 320.62 ± 219.05 cm3, which is greater than the patients who received packed red cells, whose mean was 60.72 ± 58.72 cm3, The splenomegaly was quantitatively assessed in six age groups ranging from 1 to 3 years, 4 to 6 years, 7 to 9 years, 10 to 12 years, 13 to 15 years, and 16-18 years and mean splenic volume in each age group was compared to those receiving whole blood or packed red cells transfusion. there is a statistically significant difference between both transfusion receiving groups, having a larger Cohen’s d size effect of 1.62.
Conclusion: Ultrasound is a reliable imaging modality for assessing splenic volume and linear parameters of the spleen with greater splenomegaly in thalassemia patients with whole blood transfusions than those with packed red cells when quantitatively assessed according to relevant age groups. Thalassemia patients should be transfused packed red cells to delay splenomegaly, that should be assessed sonographically.

Table and Figures | Reference | Related Articles | Metrics
Rapid Screening of Carotid Plaque in Cloud Handheld Ultrasound System Based on 5G and AI Technology
Wenjun Zhang, MD, Mi Zhou, PhD, Qingguo Meng, MD, Lin Zhang, MS, Xin Liu, MS, Paul Liu, PhD, Dong Liu, PhD
Advanced Ultrasound in Diagnosis and Therapy    2023, 7 (2): 152-157.   DOI: 10.37015/AUDT.2023.230018
Abstract255)   HTML14)    PDF(pc) (11411KB)(138)       Save

Objective: To evaluate the real-time accuracy of cloud handheld ultrasound system using AI technology in screening carotid plaque.

Methods: 2627 ultrasound images of the carotid artery are collected using the cloud handheld system. Bounding boxes of carotid plaques are labeled by qualified sonographers, and the dataset is trained using a lightweight YOLOv3 model. An additional and separate 390 images are collected and tested using the evaluation metrics average recall (AR), average precision (AP), and frames per second (FPS) for quantifying classification performance and time consumption.

Results: We use a plaque grading definition with a thickness of 1.2-1.5 mm defined as small plaque, 1.5-3 mm as medium plaque, and more than 3 mm thick as large plaque. Our model achieves APIoU=0.50 with 96.5%, with APlarge is 79.9%, APmedium is 90.7%, APsmall is 93.5%; ARIoU=0.50 is 64.5%, where ARlarge is 60.6%, ARmedium is 58.3%, ARsmall is 70.8%, and FPS is 33.3.

Conclusion: We establish a framework for data set construction, model selection, training, and testing of carotid ultrasound images and verify the effectiveness of real-time AI technology in the automatic detection of carotid artery plaque.

Table and Figures | Reference | Related Articles | Metrics
  First page | Prev page | Next page | Last page Page 1 of 1, 13 records  

Open Access, Peer-reviewed

ISSN 2576-2516 (Online)

ISSN 2576-2508 (Print)

Indexed/Tracked/Covered By:

AnnouncementMore
Top 10 DownloadsMore
Top 10 ClicksMore
DownloadMore
LinksMore