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Guo J, Wang BH, He M, Fu P, Yao M, Jiang T. Contrast-enhanced ultrasonography for early prediction of response of neoadjuvant chemotherapy in breast cancer. Front Oncol 2022; 12:1026647. [PMID: 36531048 PMCID: PMC9753903 DOI: 10.3389/fonc.2022.1026647] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/18/2022] [Indexed: 07/29/2023] Open
Abstract
Neoadjuvant chemotherapy (NAC) is widely accepted as a primary treatment for inoperable or locally advanced breast cancer before definitive surgery. However, not all advanced breast cancers are sensitive to NAC. Contrast-enhanced ultrasonography (CEUS) has been considered to assess tumor response to NAC as it can effectively reflect the condition of blood perfusion and lesion size. Therefore, this study aimed to evaluate the diagnostic performance of CEUS to predict early response in different regions of interest in breast tumors under NAC treatment. This prospective study included 82 patients with advanced breast cancer. Parameters of TIC (time-intensive curve) between baseline and after the first cycle of NAC were calculated for the rate of relative change (Δ), including Δpeak, ΔTTP (time to peak), ΔRBV (regional blood volume), ΔRBF (regional blood flow) and ΔMTT (mean transit time). The responders and non-responders were distinguished by the Miller-Payne Grading (MPG) system and parameters from different regions of tumors were compared in these two groups. For ROI 1(the greatest enhancement area in the central region of the tumor), there were significant differences in Δpeak1, ΔRBV1 and ΔRBF1 between responders and non-responders. For ROI 2 (the greatest enhancement area on edge of the tumor), there were significant differences in Δpeak2 and ΔRBF2 between the groups. The Δpeak1 and ΔRBF2 showed good prediction (AUC 0.798-0.820, p ≤ 0.02) after the first cycle of NAC. When the cut-off value was 0.115, the ΔRBF2 had the highest diagnostic accuracy and the maximum NPV. Quantitative TIC parameters could be effectively used to evaluate early response to NAC in advanced breast cancer.
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Affiliation(s)
- Jiabao Guo
- Department of Ultrasound Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Bao-Hua Wang
- Department of Ultrasound Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Mengna He
- Department of Ultrasound Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Peifen Fu
- Department of Breast Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Minya Yao
- Department of Breast Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Tian’an Jiang
- Department of Ultrasound Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
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Han X, Yang H, Jin S, Sun Y, Zhang H, Shan M, Cheng W. Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging. Cancer Med 2022; 12:1389-1398. [PMID: 35822639 PMCID: PMC9883403 DOI: 10.1002/cam4.5019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/20/2022] [Accepted: 06/29/2022] [Indexed: 02/01/2023] Open
Abstract
This study aimed to evaluate the value of dynamic contrast-enhanced ultrasound (CEUS) combined with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting pathological complete response (pCR) in patients with breast cancer receiving neoadjuvant chemotherapy (NAC). Fifty-seven female patients with breast cancer (mean age, 50.46 years; range, 32-66 years) scheduled for NAC were recruited. CEUS and DCE-MRI were performed before and after NAC. Imaging features and their changes were compared with postoperative pathological results. After the clinical differences were balanced using propensity score matching, univariate and multiple logistic regression analyses were used to derive the characteristics independently associated with pCR. Receiver operating characteristic curve analysis was performed to assess diagnostic performance. After six to eight cycles of NAC, 24 (42.1%) patients achieved pCR, while 33 (57.9%) did not. Multivariate analysis showed that enhancement order on CEUS and DCE-MRI before NAC, reduction in diameter and enhancement shape on CEUS, maximum diameter on DCE-MRI, and the type of progressive dynamic contrast enhancement after NAC were independently associated with pCR after NAC. The area under the receiver operating characteristic curve for CEUS+DCE-MRI was 0.911 (95% confidence interval, 0.826-0.997), and the specificity and positive predictive values were 87.0% and 87.5%. CEUS and DCE-MRI have the potential for assessing the pathological response to NAC in patients with breast cancer; their combination showed the best diagnostic performance. CEUS+DCE-MRI has proved beneficial for comprehensive assessment and personalizing treatment strategies for patients with breast cancer.
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Affiliation(s)
- Xue Han
- Department of UltrasoundHarbin Medical University Cancer HospitalHarbinChina
| | - Huajing Yang
- Department of UltrasoundHarbin Medical University Cancer HospitalHarbinChina
| | - Shiyang Jin
- Department of Breast SurgeryHarbin Medical University Cancer HospitalHarbinChina
| | - Yunfeng Sun
- Imaging CenterHarbin Medical University Cancer HospitalHarbinChina
| | - Hongxia Zhang
- Imaging CenterHarbin Medical University Cancer HospitalHarbinChina
| | - Ming Shan
- Department of Breast SurgeryHarbin Medical University Cancer HospitalHarbinChina
| | - Wen Cheng
- Department of UltrasoundHarbin Medical University Cancer HospitalHarbinChina
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Wang J, Chu Y, Wang B, Jiang T. A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer. Cancer Manag Res 2021; 13:7885-7895. [PMID: 34703310 PMCID: PMC8523361 DOI: 10.2147/cmar.s331665] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/29/2021] [Indexed: 12/21/2022] Open
Abstract
The incidence and mortality rate of breast cancer (BC) in women currently ranks first worldwide, and neoadjuvant chemotherapy (NAC) is widely used in patients with BC. A variety of imaging assessment methods have been used to predict and evaluate the response to NAC. Ultrasound (US) has many advantages, such as being inexpensive and offering a convenient modality for follow-up detection without radiation emission. Although conventional grayscale US is typically used to predict the response to NAC, this approach is limited in its ability to distinguish viable tumor tissue from fibrotic scar tissue. Contrast-enhanced ultrasound (CEUS) combined with a time-intensity curve (TIC) not only provides information on blood perfusion but also reveals a variety of quantitative parameters; elastography has the potential capacity to predict NAC efficiency by evaluating tissue stiffness. Both CEUS and elastography can greatly improve the accuracy of predicting NAC responses. Other US techniques, including three-dimensional (3D) techniques, quantitative ultrasound (QUS) and US-guided near-infrared (NIR) diffuse optical tomography (DOT) systems, also have advantages in assessing NAC response. This paper reviews the different US technologies used for predicting NAC response in BC patients based on the previous literature.
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Affiliation(s)
- Jing Wang
- Department of Ultrasound, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310003, People's Republic of China
| | - Yanhua Chu
- Department of Ultrasound, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310003, People's Republic of China
| | - Baohua Wang
- Department of Ultrasound, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310003, People's Republic of China
| | - Tianan Jiang
- Department of Ultrasound, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310003, People's Republic of China
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Boca (Bene) I, Dudea SM, Ciurea AI. Contrast-Enhanced Ultrasonography in the Diagnosis and Treatment Modulation of Breast Cancer. J Pers Med 2021; 11:jpm11020081. [PMID: 33573122 PMCID: PMC7912589 DOI: 10.3390/jpm11020081] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 01/23/2021] [Accepted: 01/28/2021] [Indexed: 12/22/2022] Open
Abstract
The aim of this paper is to highlight the role of contrast-enhanced ultrasound in breast cancer in terms of diagnosis, staging and follow-up of the post-treatment response. Contrast-enhanced ultrasound (CEUS) is successfully used to diagnose multiple pathologies and has also clinical relevance in breast cancer. CEUS has high accuracy in differentiating benign from malignant lesions by analyzing the enhancement characteristics and calculating the time-intensity curve’s quantitative parameters. It also has a significant role in axillary staging, especially when the lymph nodes are not suspicious on clinical examination and have a normal appearance on gray-scale ultrasound. The most significant clinical impact consists of predicting the response to neoadjuvant chemotherapy, which offers the possibility of adjusting the therapy by dynamically evaluating the patient. CEUS is a high-performance, feasible, non-irradiating, accessible, easy-to-implement imaging method and has proven to be a valuable addition to breast ultrasound.
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Pan KH, Jian L, Chen WJ, Nikzad AA, Kong FQ, Bin X, Wang YL, Chen M. Diagnostic Performance of Contrast-Enhanced Ultrasound in Renal Cancer: A Meta-Analysis. Front Oncol 2020; 10:586949. [PMID: 33312952 PMCID: PMC7703431 DOI: 10.3389/fonc.2020.586949] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 10/20/2020] [Indexed: 12/11/2022] Open
Abstract
Background Contrast-enhanced ultrasound (CEUS) is an examination mode for detecting blood vessels in tissues, and it has been gradually used in the diagnosis of kidney cancer in recent years. This study explores the value of contrast-enhanced ultrasound in the clinical diagnosis of renal cancer, and provides an accurate and effective method for clinical diagnosis of renal cancer. Methods CEUS and RCC were selected as the keywords. Searching the PubMed and Embase from 2007 to 2020, the original data were abstracted and performed heterogeneity test with the Meta-Disc software. The weighted sensitivity, specificity, positive likelihood ratio and negative likelihood ratio were calculated, as well as the summary receiver operating characteristic (SROC) curve. Further estimated the diagnostic value of CEUS in the research of renal cancer by calculating the area under the curve (AUC). The quality of evidence in researches was evaluated by QUADAS items. Meta-disc, Review Manager 5.3, and STATA 13 were used. Results A total of 20 studies were adopted for Meta-analysis. The weighted sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 0.97, 0.86, 6.8, 0.04 and 171, respectively; and AUC was 0.97. The results showed that there was high heterogeneity. Conclusion CEUS technology has a good diagnostic value for RCC.
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Affiliation(s)
- Ke-Hao Pan
- Affiliated Zhongda Hospital of Southeast University, Southeast University, Nanjing, China
| | - Li Jian
- Department of Urology, Jinhu People's Hospital, Jinghua, China
| | - Wei-Jun Chen
- Department of Urology, JinTan People's Hospital, Changzhou, China
| | - Abdul Aziz Nikzad
- Department of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China
| | - Fang Q Kong
- Department of Nosocomial Infection, Affiliated Zhongda Hospital of Southeast University, Nanjing, China
| | - Xu Bin
- Affiliated Zhongda Hospital of Southeast University, Southeast University, Nanjing, China
| | - Ya-Li Wang
- Affiliated Zhongda Hospital of Southeast University, Southeast University, Nanjing, China
| | - Ming Chen
- Affiliated Zhongda Hospital of Southeast University, Southeast University, Nanjing, China
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Garza A, Elsherif SB, Faria SC, Sagebiel T, Sun J, Ma J, Bhosale PR. Staging MRI of uterine malignant mixed Müllerian tumors versus endometrial carcinomas with emphasis on dynamic enhancement characteristics. Abdom Radiol (NY) 2020; 45:1141-1154. [PMID: 31190089 DOI: 10.1007/s00261-019-02096-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
PURPOSE To determine whether staging pelvic magnetic resonance imaging (MRI) can distinguish malignant mixed Müllerian tumor (MMMT) from EC. METHODS Thirty-seven treatment-naïve patients with histologically proven uterine MMMT and 42 treatment-naïve patients with EC, treated at our institution, were included in our retrospective study. Staging pelvic MRI scans were reviewed for tumor size, prolapse through cervical os, and other features. Time-intensity curves for tumor and surrounding myometrium regions of interest were generated, and positive enhancement integral (PEI), maximum slope of increase (MSI), and signal enhancement ratio (SER) were measured. The Fisher's exact test or Wilcoxon rank-sum test was used to compare characteristics between disease groups. Multivariate and univariate logistic regression models were used to distinguish MMMT from EC. Receiver operating characteristic analysis and the area under the curve (AUC) were used to evaluate prediction ability. RESULTS MMMTs were larger than ECs with higher rate of tumor prolapse and more heterogeneous tumor enhancement compared to ECs. During the late phase of contrast enhancement, 100% of ECs, but only 84% of MMMTs, had lower signal intensity than the myometrium. Threshold PEI ratio ≥ 0.67 predict MMMT with 76% sensitivity, 84%, specificity and 0.83 AUC. Threshold SER ≤ 125 predict MMMT with 90% sensitivity, 50% specificity, and 0.72 AUC. CONCLUSION MMMTs may show more frequent tumor prolapse, more heterogeneous enhancement, delayed iso- or hyper-enhancement, higher PEI ratios, and lower tumor SERs compared with EC. MRI can be used as a biomarker to distinguish MMMT from EC based on the enhancement pattern.
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Affiliation(s)
- Alheli Garza
- Radiology Associates of North Texas, Dallas, TX, USA
| | - Sherif B Elsherif
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA.
| | - Silvana C Faria
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Tara Sagebiel
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Jia Sun
- The Department of Biostatistics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Jingfei Ma
- The Department of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Priya R Bhosale
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
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Zhang F, Li R, Li G, Jin L, Shi Q, Du L. Value of Contrast-Enhanced Ultrasound in the Diagnosis of Renal Cancer and in Comparison With Contrast-Enhanced Computed Tomography: A Meta-analysis. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2019; 38:903-914. [PMID: 30203542 DOI: 10.1002/jum.14769] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 06/20/2018] [Indexed: 06/08/2023]
Abstract
OBJECTIVES The purpose of this meta-analysis was to assess the diagnostic accuracy of contrast-enhanced ultrasound (CEUS) in renal cancer and to compare it with contrast-enhanced computed tomography (CECT). METHODS A systematic search was performed to recruit eligible original studies published until December 2017. Two reviewers independently extracted data. A meta-analysis was performed, and the pooled sensitivity, specificity, positive and negative likelihood ratios, positive and negative predictive values, diagnostic odds ratio, summary receiver operating characteristic curve, and area under the curve were calculated. The extent and potential sources of heterogeneity were further explored. Moreover, a head-to-head comparison was also performed to compare the diagnostic value between CEUS and CECT in renal cancer. RESULTS Twenty-two studies were included in this meta-analysis. The summary sensitivity and specificity of CEUS for detecting renal cancer were 0.96 (95% confidence interval [CI], 0.94-0.97) and 0.82 (95% CI, 0.74-0.88), respectively. The summary diagnostic odds ratio was 102.04 (95% CI, 49.55-210.13). The area under the summary receiver operating characteristic curve was 0.97 (95% CI, 0.95-0.98). In the head-to-head comparison, CEUS showed higher diagnostic sensitivity than CECT (0.94 versus 0.85) for renal cancer, whereas the specificities were comparable between CEUS and CECT (0.77 versus 0.75). CONCLUSIONS Contrast-enhanced US has high sensitivity and moderate specificity in the differential diagnosis of renal cancer. The diagnostic sensitivity of CEUS in renal cancer was higher than that of CECT, suggesting that CEUS could be used as a preferred diagnostic tool for renal cancer.
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Affiliation(s)
- Fan Zhang
- Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rui Li
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Gang Li
- Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lifang Jin
- Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiusheng Shi
- Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lianfang Du
- Department of Ultrasound, Shanghai First People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Li J, Guo L, Yin L, Fang H, Ye W, Zhao B, Liu Y, Xu T. Can different regions of interest influence the diagnosis of benign and malignant breast lesions using quantitative parameters of contrast-enhanced sonography? Eur J Radiol 2018; 108:1-6. [PMID: 30396640 DOI: 10.1016/j.ejrad.2018.09.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 08/18/2018] [Accepted: 09/04/2018] [Indexed: 11/18/2022]
Abstract
OBJECTIVES To evaluate the diagnostic utility of quantitative parameters which generated in different regions of interests (ROIs) of benign and malignant breast lesions using contrast-enhanced sonography(CEUS). MATERIALS AND METHODS 130 patients were evaluated with contrast harmonic imaging after the injection of a bolus dose of 4.8 ml SonoVue (Bracco Sp A, Milan, Italy). Quantitative analyses using the TIC were performed in two types of ROI (manually tracing the whole lesions and using 3-mm rectangular sampling frames to depict local lesions).Wash in slope (WIS), rise time (RT), time to peak (TTP),peak intensity (PI),strengthening intensity (SI),wash out slope(WOS) and mean transit time(MTT) were investigated in each ROI, SI includes the strengthening intensity of the lesion itself(SIs) and its strengthening intensity relative to the reference area(SIr). RESULTS Pathologic analysis showed 52 benign and 78 malignant lesions. There were significant differences in the quantitative parameters obtained by the two ROI types (P < 0.05). There were significant differences between benign and malignant lesions in the WIS-e(P < 0.05), TTP-e(P < 0.05), and SIr-e (P < 0.05) for the manual ROI. Significant differences were found between benign and malignant lesions in the WIS-l(P < 0.05), TTP-l(P < 0.05), PI-l(P < 0.05), SIs-l(P < 0.05), and SIr-l (P < 0.05) for the 3-mm ROI. The regression equation obtained by ROI-e was P = 1/[1 + e-(2.65-0.184TTP-e)]. The regression equation obtained by ROI-l was P = 1/[1 + e-(2.472+0.024SIr-l-0.279TTP-l)]. There was statistically significant difference in the diagnostic efficacy between the two ROI types (P < 0.05). CONCLUSIONS CEUS quantitative analysis has a certain value in the diagnosis of benign and malignant breast lesions. The ROI type which depicts local lesions can better reflect the hemodynamic characteristics of the lesions.
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Affiliation(s)
- Jing Li
- Department of Ultrasonics, Affiliated Zhongshan Hospital of Dalian University, No. 6, Jiefang Street, Zhongshan District, Dalian, China; Dalian University, Dalian, China.
| | - Liping Guo
- Department of Ultrasonics, Affiliated Zhongshan Hospital of Dalian University, No. 6, Jiefang Street, Zhongshan District, Dalian, China.
| | - Li Yin
- Department of Ultrasonics, Affiliated Zhongshan Hospital of Dalian University, No. 6, Jiefang Street, Zhongshan District, Dalian, China.
| | - Hong Fang
- Department of Breast Surgery, Affiliated Zhongshan Hospital of Dalian University, No. 6, Jiefang Street, Zhongshan District, Dalian, China.
| | - Wenxiu Ye
- Department of Ultrasonics, Affiliated Zhongshan Hospital of Dalian University, No. 6, Jiefang Street, Zhongshan District, Dalian, China; Dalian University, Dalian, China.
| | - Bingyu Zhao
- Department of Ultrasonics, Affiliated Zhongshan Hospital of Dalian University, No. 6, Jiefang Street, Zhongshan District, Dalian, China.
| | - Yue Liu
- Department of Ultrasonics, Affiliated Zhongshan Hospital of Dalian University, No. 6, Jiefang Street, Zhongshan District, Dalian, China.
| | - Tong Xu
- Department of Ultrasonics, Affiliated Zhongshan Hospital of Dalian University, No. 6, Jiefang Street, Zhongshan District, Dalian, China; Dalian University, Dalian, China.
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