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Deng H, Cao K, Ye X, Lu W, Chen W, Yuan Y, Zhou Y, Shu H. Multimodality high-frequency ultrasound in the evaluation of cervical malignant lymphoma before biopsy. Future Oncol 2024; 20:3279-3287. [PMID: 39563526 PMCID: PMC11633403 DOI: 10.1080/14796694.2024.2430168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 11/13/2024] [Indexed: 11/21/2024] Open
Abstract
OBJECTIVE To investigate the application value of multimodality ultrasound in the evaluation of lymphoma. METHODS The regression models were performed to determine whether there were differences in differentiating lymphoma from benign lymph nodes. Receiver operator curves were drawn to evaluate the diagnostic performance of three ultrasound modalities. RESULTS Multivariate analysis showed statistically significant differences in the long to short axes ratio, visibility of the hilum, Adler grade of blood flow, cortical echo, maximum elasticity, elastic color pattern, enhancement distribution, and Area. The combination of three modalities achieved a sensitivity of 95.6%, specificity of 87.5%, accuracy of 93.5%, positive predicted value of 97.0%, and negative predicted value of 82.4%. CONCLUSION Multimodal ultrasound can provide valuable differential diagnosis and improve the diagnostic performance.
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Affiliation(s)
- Hongyan Deng
- Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Kunpeng Cao
- Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xinhua Ye
- Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wenjuan Lu
- Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wenqin Chen
- Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ya Yuan
- Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yasu Zhou
- Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hua Shu
- Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Shen Y, He J, Liu M, Hu J, Wan Y, Zhang T, Ding J, Dong J, Fu X. Diagnostic value of contrast-enhanced ultrasound and shear-wave elastography for small breast nodules. PeerJ 2024; 12:e17677. [PMID: 38974410 PMCID: PMC11227273 DOI: 10.7717/peerj.17677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 06/12/2024] [Indexed: 07/09/2024] Open
Abstract
Background The study aims to evaluate the diagnostic efficacy of contrast-enhanced ultrasound (CEUS) and shear-wave elastography (SWE) in detecting small malignant breast nodules in an effort to inform further refinements of the Breast Imaging Reporting and Data System (BI-RADS) classification system. Methods This study retrospectively analyzed patients with breast nodules who underwent conventional ultrasound, CEUS, and SWE at Gongli Hospital from November 2015 to December 2019. The inclusion criteria were nodules ≤ 2 cm in diameter with pathological outcomes determined by biopsy, no prior treatments, and solid or predominantly solid nodules. The exclusion criteria included pregnancy or lactation and low-quality images. Imaging features were detailed and classified per BI-RADS. Diagnostic accuracy was assessed using receiver operating characteristic curves. Results The study included 302 patients with 305 breast nodules, 113 of which were malignant. The diagnostic accuracy was significantly improved by combining the BI-RADS classification with CEUS and SWE. The combined approach yielded a sensitivity of 88.5%, specificity of 87.0%, positive predictive value of 80.0%, negative predictive value of 92.8%, and accuracy of 87.5% with an area under the curve of 0.877. Notably, 55.8% of BI-RADS 4A nodules were downgraded to BI-RADS 3 and confirmed as benign after pathological examination, suggesting the potential to avoid unnecessary biopsies. Conclusion The integrated use of the BI-RADS classification, CEUS, and SWE enhances the accuracy of differentiating benign and malignant small breast nodule, potentially reducing the need for unnecessary biopsies.
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Affiliation(s)
- Yan Shen
- Department of Medical Ultrasound, Gongli Hospital, Shanghai, China
| | - Jie He
- Department of Medical Ultrasound, Gongli Hospital, Shanghai, China
| | - Miao Liu
- Department of Medical Ultrasound, Gongli Hospital, Shanghai, China
| | - Jiaojiao Hu
- Department of Medical Ultrasound, Gongli Hospital, Shanghai, China
| | - Yonglin Wan
- Department of Medical Ultrasound, Gongli Hospital, Shanghai, China
| | - Tingting Zhang
- Department of Medical Ultrasound, Gongli Hospital, Shanghai, China
| | - Jun Ding
- Department of Pathology, Gongli Hospital, Shanghai, China
| | - Jiangnan Dong
- Department of Surgery, Gongli Hospital, Shanghai, China
| | - Xiaohong Fu
- Department of Medical Ultrasound, Gongli Hospital, Shanghai, China
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Marukatat N, Parklug P, Issaragrisil S, Sumanasrethakul C. Shear wave elastography for solid breast masses evaluation: Quantitative measurement of mean elasticity value and elasticity ratio. Eur J Radiol Open 2024; 12:100573. [PMID: 38855720 PMCID: PMC11157203 DOI: 10.1016/j.ejro.2024.100573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 05/15/2024] [Accepted: 05/23/2024] [Indexed: 06/11/2024] Open
Abstract
Purpose Shear wave elastography (SWE), an ultrasonographic technique to measure the elasticity of mass lesions to evaluate breast mass. This study aimed to find out the cutoff values identifying breast malignancy using the mean elasticity (E-mean) and elasticity ratio (E-ratio) of breast masses. Methods This retrospective study included women underwent SWE and US-guided biopsy of breast masses. During conventional US, the SWE mode was also performed, determining elasticity measurements, E-mean and E-ratio. Histopathological reports were obtained to identify mass status. The optimal and alternative cutoff values for E-mean and E-ratio to determine malignancy were assessed by receiver operating characteristic (ROC) curve analysis and Youden's index score. Results Among 147 benign and 93 malignant masses, the median of E-means were 26.20 (IQR 15.70-56.60) and 141.60 (IQR 119.80-154.60) kPa and the median E-ratios were 3.11 (IQR 1.83-5.23) and 9.24 (IQR 6.76-12.44), respectively. Using Youden's index, the optimal cutoff values for E-mean and E-ratio were 90.35 and 5.89, with sensitivity of 87.1 % and 82.8 %, specificity of 89.1 % and 83.7 %, positive predictive value (PPV) of 83.5 % and 76.2 %, negative predictive value (NPV) of 91.6 % and 88.5 %, positive likelihood ratio (LR+) of 8.00 and 5.07, and negative likelihood ratio (LR-) of 0.14 and 0.21, respectively. Conclusion This study revealed that SWE is useful in predicting malignancy. With the optimal cutoff values of E-mean and E-ratio at 90.35 kPa and 5.89, the sensitivity was nearly 90 % with E-mean and slightly over 80 % with E-ratio, respectively. These findings could be used in conjunction with conventional US.
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Affiliation(s)
- N. Marukatat
- Department of Radiology, Faculty of Medicine, Vajira Hospital, Navamindradhiraj University, 681 Samsen Rd., Dusit, Bangkok 10300, Thailand
| | - P. Parklug
- Department of Radiology, Faculty of Medicine, Vajira Hospital, Navamindradhiraj University, 681 Samsen Rd., Dusit, Bangkok 10300, Thailand
| | - S. Issaragrisil
- Department of Radiology, Faculty of Medicine, Vajira Hospital, Navamindradhiraj University, 681 Samsen Rd., Dusit, Bangkok 10300, Thailand
| | - C. Sumanasrethakul
- Department of Urban Medicine, Faculty of Medicine, Vajira Hospital, Navamindradhiraj University, 681 Samsen Rd., Bangkok 10300, Thailand
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Saloux E, Garrec ML, Menet N, Dillon L, Simard C, Fraschini C, Manrique A. Cardiac 2-D Shear Wave Imaging Using a New Dedicated Clinical Ultrasound System: A Phantom Study. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:843-851. [PMID: 38471998 DOI: 10.1016/j.ultrasmedbio.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 01/18/2024] [Accepted: 02/09/2024] [Indexed: 03/14/2024]
Abstract
OBJECTIVE The purpose of this study was to assess cardiac shear wave imaging implemented in a new MACH 30 ultrasound machine (SuperSonic Imaging, Aix-en-Provence, France) and interfaced with a linear probe and a phased array probe, in comparison with a previously validated Aixplorer system connected to a linear probe (SuperSonic Imaging) using Elasticity QA phantoms (Models 039 and 049, CIRS Inc., Norfolk, VA, USA). METHODS Quantile-quantile plots were used for distribution agreement. The accuracy of stiffness measurement was assessed by the percentage error and the mean percentage error (MPE), and its homogeneity, by the standard deviation of the MPE. A p value <0.01 was considered to indicate statistical significance. RESULTS The accuracy of dedicated cardiac sequences for linear probes was similar for the two systems with an MPE of 8 ± 14% versus 20 ± 21% (p = not significant) with the SuperSonic MACH 30 and Aixplorer, respectively, and was influenced by target stiffness and location of the measurement in the field of view, but without drift over time. The optimal transthoracic cardiac probe workspace was located between 4 and 10 cm, with an MPE of 29.5 ± 25% compared with 93.3 ± 130% outside this area (p < 0.0001). In this area, stiffness below 20 kPa was significantly different from the reference (p < 0.0001). The sectorial probe revealed no MPE difference in any of the measurement areas, with no significant lateral or axial gradient. CONCLUSION The new Supersonic MACH 30 system upgraded with a sectorial probe and specific cardiac settings provided homogenous stiffness measurements, especially when operating at depths between 4 and 10 cm. These phantom results may be useful in designing future in vivo studies.
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Affiliation(s)
- Eric Saloux
- Centre Hospitalier, Universitaire de Caen Normandie, Caen, France; UR 4650 PSIR, Université de Caen Normandie, Caen, France.
| | | | - Nina Menet
- UR 4650 PSIR, Université de Caen Normandie, Caen, France
| | - Ludovic Dillon
- Centre Hospitalier, Universitaire de Caen Normandie, Caen, France
| | | | | | - Alain Manrique
- Centre Hospitalier, Universitaire de Caen Normandie, Caen, France; UR 4650 PSIR, Université de Caen Normandie, Caen, France
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Yi AJ, Yang WW, Cui XW, Dietrich CF, Wang B. The value of quantitative and a new qualitative color pattern shear wave elastography for the differentiation of ACR TI-RADS 4 or 5 category thyroid nodules measuring ≤10 mm. Front Endocrinol (Lausanne) 2024; 14:1275256. [PMID: 38260152 PMCID: PMC10800972 DOI: 10.3389/fendo.2023.1275256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 12/12/2023] [Indexed: 01/24/2024] Open
Abstract
Objective This study aims to evaluate the diagnostic performance of quantitative shear wave elastography (SWE) and a new qualitative color pattern SWE for the differentiation of benign and malignant American College of Radiology Thyroid Imaging, Reporting, and Data System (ACR TI-RADS) 4 or 5 category thyroid nodules measuring ≤10 mm. Materials and methods From May 2020 to July 2022, a total of 237 patients with 270 thyroid nodules were enrolled, and conventional ultrasound and SWE examinations were performed for each patient. Each ACR TI-RADS 4 or 5 category thyroid nodule measuring ≤10 mm was evaluated by quantitative SWE and a new qualitative color pattern SWE. The diagnostic performance of quantitative SWE parameters, the new qualitative color pattern SWE, and the combination of SWE with ACR TI-RADS, respectively, for the differentiation of benign and malignant ACR TI-RADS 4 or 5 category thyroid nodules measuring ≤10 mm was evaluated and compared. Results Among 270 thyroid nodules in 237 patients, 72 (26.67%) thyroid nodules were benign and 198 (73.33%) thyroid nodules were malignant. The qualitative color pattern SWE showed better diagnostic performance than the quantitative SWE parameters. When combining the qualitative color pattern SWE with ACR TI-RADS scores, with the optimal cutoff value of the total points ≥8, the thyroid nodules were considered malignant. The sensitivity, specificity, accuracy, and AUC were 89.90%, 56.94%, 81.11%, and 0.820 (95% CI: 0.768-0.864), respectively. Compared with using qualitative color pattern SWE alone, the combination of qualitative color pattern SWE and ACR TI-RADS had better diagnostic performance, which was significantly different (p < 0.05). Conclusion The combination of qualitative SWE color patterns and ACR TI-RADS had high sensitivity and accuracy, which might be a convenient and useful method to differentiate benign and malignant ACR TI-RADS 4 or 5 category thyroid nodules measuring ≤10 mm. It would be helpful for the management of thyroid nodules and improving prognosis.
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Affiliation(s)
- Ai-jiao Yi
- Department of medical ultrasound, Yueyang Central Hospital, Yueyang, China
| | - Wei-Wei Yang
- Department of medical ultrasound, Yueyang Central Hospital, Yueyang, China
| | - Xin-Wu Cui
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Christoph F. Dietrich
- Department Allgemeine Innere Medizin, Kliniken Hirslanden Beau Site, Salem und Permanence, Bern, Switzerland
| | - Bin Wang
- Department of medical ultrasound, Yueyang Central Hospital, Yueyang, China
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Ren T, Li X, Xiang Y, Zhang Y, Jiang M, Zhang C. The Diagnostic Significance of the BI-RADS Classification Combined With Automated Breast Volume Scanner and Shear Wave Elastography for Breast Lesions. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:1459-1469. [PMID: 36534583 DOI: 10.1002/jum.16154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 12/01/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
OBJECTIVE We herein compared the diagnostic accuracy of the BI-RADS, ABVS, SWE, and combined techniques for the classification of breast lesions. METHODS Breast lesions were appraised using the BI-RADS classification system as well as the combinations of BI-RADS plus ABVS (BI-RADS + ABVS) and BI-RADS plus SWE (BI-RADS + SWE), and both methods (BI-RADS + ABVS + SWE) by two specialties Medical Ultrasound physician. The Fisher's exact and χ2 tests were performed to compare the degree of malignancy for the various methods with a pathology ground truth. Receiver operating characteristic curves (ROC) were generated and the corresponding area under the curve (AUC) values were determined to test the diagnostic efficacy of the various methods and identify the optimal SWE cut-off indicative of malignancy. RESULTS The incidence of the retraction phenomenon on ABVS images of the malignant group was significantly higher (P < .001) than that of the benign group. The specificity, sensitivity, and positive and negative predictive values of the BI-RADS classification were 88.72, 79.38, 83.70, and 85.50%, respectively. BI-RADS plus SWE-Max exhibited enhanced specificity, sensitivity, and positive and negative predictive values of 88.72, 92.78, 85.70, and 94.40%, respectively. Similarly, when BI-RADS + ABVS was utilized, the sensitivity and negative predictive value increased to 95.88 and 96.40%, respectively. BI-RADS + ABVS + SWE possessed the highest overall sensitivity (96.91%), specificity (94.74%), and positive (93.10%) and negative (97.70%) predictive values from all four indices. CONCLUSION ABVS and SWE can reduce the subjectivity of BI-RADS. As a result, BI-RADS + ABVS + SWE resulted in the best diagnostic accuracy.
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Affiliation(s)
- Tiantian Ren
- Department of Medical Ultrasound, Ma'anshan People's Hospital, Ma'anshan, China
| | - Xiaoran Li
- Department of Radiology, Nanjing Gaochun People's Hospital, Nanjing, China
| | - Yu Xiang
- Department of Medical Ultrasound, Ma'anshan People's Hospital, Ma'anshan, China
| | - Yuanyuan Zhang
- Department of Medical Ultrasound, Ma'anshan People's Hospital, Ma'anshan, China
| | - Mingfei Jiang
- Department of diagnostics, School of Clinical Medicine, Wannan Medical College, Wuhu, China
| | - Chaoxue Zhang
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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Quantitative Assessment of Breast-Tumor Stiffness Using Shear-Wave Elastography Histograms. Diagnostics (Basel) 2022; 12:diagnostics12123140. [PMID: 36553148 PMCID: PMC9777730 DOI: 10.3390/diagnostics12123140] [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: 10/31/2022] [Revised: 12/08/2022] [Accepted: 12/11/2022] [Indexed: 12/15/2022] Open
Abstract
Purpose: Shear-wave elastography (SWE) measures tissue elasticity using ultrasound waves. This study proposes a histogram-based SWE analysis to improve breast malignancy detection. Methods: N = 22/32 (patients/tumors) benign and n = 51/64 malignant breast tumors with histological ground truth. Colored SWE heatmaps were adjusted to a 0−180 kPa scale. Normalized, 250-binned RGB histograms were used as image descriptors based on skewness and area under curve (AUC). The histogram method was compared to conventional SWE metrics, such as (1) the qualitative 5-point scale classification and (2) average stiffness (SWEavg)/maximal tumor stiffness (SWEmax) within the tumor B-mode boundaries. Results: The SWEavg and SWEmax did not discriminate malignant lesions in this database, p > 0.05, rank sum test. RGB histograms, however, differed between malignant and benign tumors, p < 0.001, Kolmogorov−Smirnoff test. The AUC analysis of histograms revealed the reduction of soft-tissue components as a significant SWE biomarker (p = 0.03, rank sum). The diagnostic accuracy of the suggested method is still low (Se = 0.30 for Se = 0.90) and a subject for improvement in future studies. Conclusions: Histogram-based SWE quantitation improved the diagnostic accuracy for malignancy compared to conventional average SWE metrics. The sensitivity is a subject for improvement in future studies.
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Ventura C, Baldassarre S, Cerimele F, Pepi L, Marconi E, Ercolani P, Floridi C, Argalia G, Goteri G, Giovagnoni A. 2D shear wave elastography in evaluation of prognostic factors in breast cancer. Radiol Med 2022; 127:1221-1227. [DOI: 10.1007/s11547-022-01559-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 09/12/2022] [Indexed: 10/14/2022]
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Bartolotta TV, Orlando AAM, Dimarco M, Zarcaro C, Ferraro F, Cirino A, Matranga D, Vieni S, Cabibi D. Diagnostic performance of 2D-shear wave elastography in the diagnosis of breast cancer: a clinical appraisal of cutoff values. Radiol Med 2022; 127:1209-1220. [DOI: 10.1007/s11547-022-01546-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/17/2022] [Indexed: 11/29/2022]
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Value of shear wave elastography during second-look breast ultrasonography for suspicious lesions on magnetic resonance imaging. J Med Ultrason (2001) 2022; 49:719-730. [DOI: 10.1007/s10396-022-01253-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 07/26/2022] [Indexed: 11/26/2022]
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Zhang YX, Xue JP, Li HZ, Miao JW, Kang CS. Clinical Value of Shear Wave Elastography Color Scores in Classifying Thyroid Nodules. Int J Gen Med 2021; 14:8007-8018. [PMID: 34785943 PMCID: PMC8590981 DOI: 10.2147/ijgm.s331406] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 10/19/2021] [Indexed: 11/23/2022] Open
Abstract
Objective To evaluate the clinical value of qualitative shear wave elastography (SWE) color in the differential diagnosis of benign and malignant thyroid nodules. Methods From January 2017 to July 2018, 241 patients with 261 thyroid nodules, who underwent conventional ultrasonography and SWE examination before surgical resection, were enrolled. The nodules were also evaluated by histopathologic analyses. The SWE color characteristics that could differentiate malignant and benign thyroid nodules were selected and scored based on the malignancy rate. The diagnostic performances were evaluated by receiver operating characteristic (ROC) curves analysis. Results Among the 261 thyroid nodules, 58 were benign, and 203 were malignant. Malignancy was associated with orange or red as the color of maximum hardness inside a nodule, green as the primary color, with a “stiff rim,” inhomogeneous internal color, and inhomogeneous color between the nodules and its surrounding areas. The SWE color scores for benign thyroid nodules were mainly 0 and 1, while 4 and 5 were for malignant thyroid nodules. The area under the ROC curve (AUC) of the SWE color score ≥3 for the diagnosis of malignant thyroid nodules was 0.828 (95% CI: 0.764, 0.891) with a sensitivity of 82.8%, a specificity of 82.8%, and an accuracy of 83.1%. Additionally, conventional ultrasound combined with SWE color scores had a higher diagnostic performance than conventional ultrasound (AUC 0.820 vs AUC 0.796, P = 0.04). Conclusion The SWE color scores might be a convenient and effective method to assist in differentiating thyroid nodules.
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Affiliation(s)
- Yan-Xia Zhang
- Department of Ultrasonography, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, 030032, People's Republic of China
| | - Ji-Ping Xue
- Department of Ultrasonography, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, 030032, People's Republic of China
| | - Hui-Zhan Li
- Department of Ultrasonography, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, 030032, People's Republic of China
| | - Jun-Wang Miao
- Department of Ultrasonography, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, 030032, People's Republic of China
| | - Chun-Song Kang
- Department of Ultrasonography, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, 030032, People's Republic of China
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Park SY, Kang BJ. Combination of shear-wave elastography with ultrasonography for detection of breast cancer and reduction of unnecessary biopsies: a systematic review and meta-analysis. Ultrasonography 2020; 40:318-332. [PMID: 33652513 PMCID: PMC8217803 DOI: 10.14366/usg.20058] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 12/24/2020] [Indexed: 12/21/2022] Open
Abstract
Purpose This study was undertaken to compare the diagnostic performance and biopsy reduction rate of combined shear-wave elastography (SWE) and B-mode ultrasonography (US) versus B-mode US alone for breast lesions and to determine the most discriminatory parameter in SWE. Methods A systematic review and meta-analysis were conducted. The resources for the study were obtained from MEDLINE, Embase, Cochrane Library, and KoreaMed on August 17, 2018. The quality of the articles was evaluated using the Scottish Intercollegiate Guidelines Network (SIGN) tool. Results Twenty-five articles with 5,147 breast lesions were selected. The meta-analysis showed pooled sensitivities of 0.94 and 0.97 (P=0.087), pooled specificities of 0.85 and 0.61 (P=0.009), and area under the receiver operating characteristic curve (AUC) of 0.96 and 0.96 (P=0.095) for combined SWE and B-mode US versus B-mode US alone. When SWE was combined with B-mode US, the Breast Imaging Reporting and Data System category changed from 4 to 3 in 71.3% of the tests, decreasing the frequency of unnecessary biopsies by 41.1%. All four parameters of SWE (the color grade of lesion stiffness, maximum elasticity, mean elasticity, and color grade of lesion stiffness/homogeneity of the lesion) improved the specificity when they were added to B-mode US. The AUC for each SWE parameter was 0.99, 0.96, 0.96, and 0.93, respectively. Conclusion Adding SWE to B-mode US not only provides additional diagnostic information for differentiating between benign and malignant breast lesions, but also decreases the likelihood of unnecessary biopsies.
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Affiliation(s)
- Sun-Young Park
- Devision of New Health Technology Assessment, National Evidence-Based Healthcare Collaborating Agency, Seoul, Korea
| | - Bong Joo Kang
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Vairavan R, Abdullah O, Retnasamy PB, Sauli Z, Shahimin MM, Retnasamy V. A Brief Review on Breast Carcinoma and Deliberation on Current Non Invasive Imaging Techniques for Detection. Curr Med Imaging 2020; 15:85-121. [PMID: 31975658 DOI: 10.2174/1573405613666170912115617] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 08/27/2017] [Accepted: 08/29/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND Breast carcinoma is a life threatening disease that accounts for 25.1% of all carcinoma among women worldwide. Early detection of the disease enhances the chance for survival. DISCUSSION This paper presents comprehensive report on breast carcinoma disease and its modalities available for detection and diagnosis, as it delves into the screening and detection modalities with special focus placed on the non-invasive techniques and its recent advancement work done, as well as a proposal on a novel method for the application of early breast carcinoma detection. CONCLUSION This paper aims to serve as a foundation guidance for the reader to attain bird's eye understanding on breast carcinoma disease and its current non-invasive modalities.
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Affiliation(s)
- Rajendaran Vairavan
- School of Microelectronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
| | - Othman Abdullah
- Hospital Sultan Abdul Halim, 08000 Sg. Petani, Kedah, Malaysia
| | | | - Zaliman Sauli
- School of Microelectronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
| | - Mukhzeer Mohamad Shahimin
- Department of Electrical and Electronic Engineering, Faculty of Engineering, National Defence University of Malaysia (UPNM), Kem Sungai Besi, 57000 Kuala Lumpur, Malaysia
| | - Vithyacharan Retnasamy
- School of Microelectronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
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Luo J, Chen J, Sun Y, Xu F, Wu L, Huang P. A retrospective study of reducing unnecessary thyroid biopsy for American College of Radiology Thyroid Imaging Reporting and Data Systems 4 assessment through applying shear wave elastography. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2020; 64:349-355. [PMID: 32725061 PMCID: PMC10522092 DOI: 10.20945/2359-3997000000267] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Accepted: 01/11/2020] [Indexed: 11/23/2022]
Abstract
Objective The purpose of the study is to quantitatively assess shear-wave elastography (SWE) value in American College of Radiology Thyroid Imaging Reporting and Data Systems (ACR TI-RADS) 4. Materials and methods One hundred and fifty-two ACR TI-RADS 4 thyroid nodules undergoing SWE were included in the study. The mean (EMean), minimum (EMin) and maximum (EMax) of SWE elasticity were measured. Results The areas under the receiver operating characteristic (ROC) curves for SWE EMean, EMin and EMax in detecting benign and malignant nodules were 0.95, 0.83 and 0.84, respectively. Cut-off value of EMean ≤ 23.30 kPa is able to downgrade the lesion category to ACR TI-RADS 3 and cut-off value of EMean ≥ 52.14 kPa is able to upgrade the lesion category to ACR TI-RADS 5. Conclusions The EMean of SWE will probably identify nodules that have a high potential for benignity in ACR TI-RADS 4. It may help identify and select benign nodules while reducing unnecessary biopsy of benign thyroid nodules.
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Affiliation(s)
- Jieli Luo
- Second Affiliated HospitalZhejiang UniversitySchool of MedicineChina Department of Ultrasound, the Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China
| | - Jianshe Chen
- Second Affiliated HospitalZhejiang UniversitySchool of MedicineChina Department of Ultrasound, the Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China
| | - Yang Sun
- Second Affiliated HospitalZhejiang UniversitySchool of MedicineChina Department of Ultrasound, the Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China
| | - Fangting Xu
- Second Affiliated HospitalZhejiang UniversitySchool of MedicineChina Department of Ultrasound, the Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China
| | - Lilu Wu
- Second Affiliated HospitalZhejiang UniversitySchool of MedicineChina Department of Ultrasound, the Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China
| | - Pintong Huang
- Second Affiliated HospitalZhejiang UniversitySchool of MedicineChina Department of Ultrasound, the Second Affiliated Hospital of Zhejiang University School of Medicine , Hangzhou, China
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Kim H, Lee J, Kang BJ, Kim SH. What shear wave elastography parameter best differentiates breast cancer and predicts its histologic aggressiveness? Ultrasonography 2020; 40:265-273. [PMID: 32660207 PMCID: PMC7994732 DOI: 10.14366/usg.20007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 06/15/2020] [Indexed: 01/09/2023] Open
Abstract
Purpose This study aimed to identify useful shear wave elastography (SWE) parameters for differentiating breast cancer and predicting associated immunohistochemical factors and subtypes. Methods From November 2018 to February 2019, a total of 211 breast lesions from 190 patients who underwent conventional breast ultrasonography and SWE were included. The Breast Imaging Reporting and Data System categories and qualitative and quantitative SWE parameters for each lesion were obtained. Pathologic results including immunohistochemical factors were evaluated. The diagnostic performance of each parameter and its correlation with histological characteristics, immunohistochemical factors, and subtypes of breast cancer were analyzed using analysis of variance, the independent t test, the Fisher exact test, logistic regression analysis, and the DeLong method. Results Among 211 breast lesions, 82 were malignant, and 129 were benign. Of the SWE parameters, Emax showed the highest area under the curve (AUC) for differentiating malignant from benign lesions (AUC, 0.891; cut-off>50.85). Poor tumor differentiation and progesterone receptor-negativity were correlated with higher SDmean and Emax (P<0.05). Ki-67-positive breast cancer showed higher SDmean and a heterogeneous color distribution (P<0.05). Ki-67 and cytokeratin 5/6-positive breast cancers showed higher Emax/Efat ratios (P<0.05). Luminal B, human epidermal growth factor receptor 2-enriched, and triple-negative (non-basal) subtypes showed somewhat higher SDmean values than the luminal A and triple-negative (basal) subtypes (P=0.028). Conclusion Emax is a reliable parameter for differentiating malignancies from benign breast lesions. In addition, high stiffness and SDmean values in tumors measured on SWE could be used to predict poorly differentiated, progesterone receptor-negative, or Ki-67-positive breast cancer.
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Affiliation(s)
- Hyunjin Kim
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeongmin Lee
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Bong Joo Kang
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sung Hun Kim
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Zhu Y, Jia XH, Zhou W, Zhan WW, Zhou JQ. Qualitative Evaluation of Virtual Touch Imaging Quantification: A Simple and Useful Method in the Diagnosis of Breast Lesions. Cancer Manag Res 2020; 12:2037-2045. [PMID: 32256111 PMCID: PMC7090171 DOI: 10.2147/cmar.s241815] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 02/21/2020] [Indexed: 12/31/2022] Open
Abstract
Objective To test the value of qualitative virtual touch imaging quantification (VTIQ) features in differentiating benign from malignant breast lesions. Methods From November 2016 to August 2017, 230 lesions were subjected to conventional US and virtual touch imaging quantification before biopsy. The maximum shear wave velocity (SWVmax) was measured using a standardized method. Qualitative VTIQ features, including the “stiff rim” sign and color pattern classification, were assessed according to a binary classification. The sensitivity, specificity and area under the receiver operating curve (AUC) of Breast Imaging Reporting and Data System (BI-RADS), SWVmax, qualitative VTIQ features, and combined data were compared. Results Among the 230 breast lesions, 150 were benign and 80 were malignant. Compared to the benign lesions, the malignant ones had higher SWVmax values and were more likely to show the “stiff rim” sign and VTIQ pattern 2 (P <0.001 for all). The AUC value was 0.885 for the qualitative VTIQ combination (the presence of the “stiff rim” sign and/or the display of VTIQ pattern 2), similar to that for SWVmax (P=0.472). BI-RADS combined with the qualitative VTIQ combination and with SWVmax yielded similar results, including significantly higher AUC values (P = 0.018 and 0.014, respectively), significantly higher specificities (P<0.001 for both), and nonsignificantly decreased sensitivities (P = 0.249 for both) compared to BI-RADS alone. Conclusion The dual-category classification of qualitative VTIQ features according to the presence of the “stiff rim” sign and/or the classification of VTIQ pattern 2 is a simple and useful method that may be representative of quantitative VTIQ parameters in the evaluation of breast masses.
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Affiliation(s)
- Ying Zhu
- Department of Ultrasound, Shanghai Ruijin Hospital Affiliated to Medical School of Shanghai Jiaotong University, Shanghai, People's Republic of China
| | - Xiao-Hong Jia
- Department of Ultrasound, Shanghai Ruijin Hospital Affiliated to Medical School of Shanghai Jiaotong University, Shanghai, People's Republic of China
| | - Wei Zhou
- Department of Ultrasound, Shanghai Ruijin Hospital Affiliated to Medical School of Shanghai Jiaotong University, Shanghai, People's Republic of China
| | - Wei-Wei Zhan
- Department of Ultrasound, Shanghai Ruijin Hospital Affiliated to Medical School of Shanghai Jiaotong University, Shanghai, People's Republic of China
| | - Jian-Qiao Zhou
- Department of Ultrasound, Shanghai Ruijin Hospital Affiliated to Medical School of Shanghai Jiaotong University, Shanghai, People's Republic of China
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Cornford E, Vinnicombe SJ. Commentary on: evidence for avoiding the biopsy of typical fibroadenomas in women aged 25-29 years. Clin Radiol 2019; 74:682-683. [PMID: 31109714 DOI: 10.1016/j.crad.2019.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 04/09/2019] [Indexed: 11/18/2022]
Affiliation(s)
- E Cornford
- Thirlestaine Breast Centre, Gloucestershire Hospitals NHS Foundation Trust, GL53 7AP, UK.
| | - S J Vinnicombe
- Thirlestaine Breast Centre, Gloucestershire Hospitals NHS Foundation Trust, GL53 7AP, UK
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18
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Huang R, Jiang L, Xu Y, Gong Y, Ran H, Wang Z, Sun Y. Comparative Diagnostic Accuracy of Contrast-Enhanced Ultrasound and Shear Wave Elastography in Differentiating Benign and Malignant Lesions: A Network Meta-Analysis. Front Oncol 2019; 9:102. [PMID: 30891425 PMCID: PMC6412152 DOI: 10.3389/fonc.2019.00102] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 02/04/2019] [Indexed: 12/12/2022] Open
Abstract
Background: We performed a network meta-analysis to compare the diagnostic accuracy of contrast-enhanced ultrasound (CEUS) and shear wave elastography (SWE) in differentiating benign and malignant lesions in different body sites. Methods: A computerized literature search of Medline, Embase, SCOPUS, and Web of Science was performed using relevant keywords. Following data extraction, we calculated sensitivity, specificity, positive likelihood ratio (LR), negative LR, and diagnostic odds ratio (DOR) for CEUS, and SWE compared to histopathology as a reference standard. Statistical analyses were conducted by MetaDiSc (version 1.4) and R software (version 3.4.3). Results: One hundred and fourteen studies (15,926 patients) were pooled in the final analyses. Network meta-analysis showed that CEUS had significantly higher DOR than SWE (DOR = 27.14, 95%CI [2.30, 51.97]) in breast cancer detection. However, there were no significant differences between CEUS and SWE in hepatic (DOR = −6.67, 95%CI [−15.08, 1.74]) and thyroid cancer detection (DOR = 3.79, 95%CI [−3.10, 10.68]). Interestingly, ranking analysis showed that CEUS achieved higher DOR in detecting breast and thyroid cancer, while SWE achieved higher DOR in detecting hepatic cancer. The overall DOR for CEUS in detecting renal cancer was 53.44, 95%CI [29.89, 95.56] with an AUROC of 0.95, while the overall DOR for SWE in detecting prostate cancer was 25.35, 95%CI [7.15, 89.89] with an AUROC of 0.89. Conclusion: Both diagnostic tests showed relatively high sensitivity and specificity in detecting malignant tumors in different organs. Network meta-analysis showed that CEUS had higher diagnostic accuracy than SWE in detecting breast and thyroid cancer, while SWE had higher accuracy in detecting hepatic cancer. However, the results were not statistically significant in hepatic and thyroid malignancies. Further head-to-head comparisons are needed to confirm the optimal imaging technique to differentiate each cancer type.
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Affiliation(s)
- Rongzhong Huang
- The First People's Hospital of Yunnan Province, Kunming, China
| | - Lihong Jiang
- The First People's Hospital of Yunnan Province, Kunming, China
| | - Yu Xu
- Chuangxu Institute of Life Science, Chongqing, China
| | - Yuping Gong
- Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Haitao Ran
- Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhigang Wang
- Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Sun
- Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Lin X, Chang C, Wu C, Chen Q, Peng Y, Luo B, Tang L, Li J, Zheng J, Zhou R, Cui G, Li A, Wang X, Qian L, Zhang J, Wen C, Gay J, Zhang H, Li A, Chen Y. Confirmed value of shear wave elastography for ultrasound characterization of breast masses using a conservative approach in Chinese women: a large-size prospective multicenter trial. Cancer Manag Res 2018; 10:4447-4458. [PMID: 30349377 PMCID: PMC6187919 DOI: 10.2147/cmar.s174690] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Purpose This study aimed to investigate the value of shear wave elastography (SWE) for characterization of breast masses in a Chinese population. Patients and methods Two thousand two hundred seventy-three women consented to be prospectively enrolled for the characterization of breast masses with ultrasound and SWE. Breast masses were known from symptoms, palpability, and/or previous imaging screening with mammography and/or ultrasound. Correlation of SWE qualitative and quantitative features with malignancy risk and impact on diagnostic performance of combining SWE features were assessed, and the Breast Imaging Reporting and Data System (BI-RADS) scoring was calculated using histopathology as reference. Results Data of 2,262 masses (median size: 13 mm; range: 1.3-50) from 2,262 patients (median age: 43 years; range: 18-91) were investigated, of which 752 (33.3%) were malignant. Sensitivity and specificity of BI-RADS diagnosis were 97.5% (733/752) and 54.8% (827/1,510), respectively. By logistic regression, the combination of maximum elasticity (E max) measurements with BI-RADS assessments increased the area under the receiver operating characteristic curve from 0.908 (95% CI: 0.896-0.920) to 0.954 (95% CI: 0.944-0.962). Using E max of 30 kPa or lower to selectively downgrade BI-RADS 4a masses to follow-up, and E max of 160 kPa or higher to selectively upgrade BI-RADS 3 lesions to biopsy, specificity significantly increased from 54.8% (827/1,510) to 66.1% (998/1,510) (P<0.001) while sensitivity decreased nonsignificantly from 97.5% (733/752) to 96.9% (729/752) (P=0.2891). Positive predictive value for biopsy recommendation increased from 51.7% (733/1,417) to 58.7% (729/1,241) (P<0.001). Conclusion Adding SWE maximum stiffness to BI-RADS 3 and BI-RADS 4a breast masses in a Chinese population increased significantly the specificity of breast ultrasonography, without significant change in sensitivity.
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Affiliation(s)
- Xi Lin
- State Key Laboratory of Oncology in Southern China, Department of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou 510060, P. R. China
| | - Cai Chang
- Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai 200032, P. R. China, .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P. R. China,
| | - Changjun Wu
- Department of Ultrasound, First Affiliated Hospital of Harbin Medical University, Harbin 150001, P. R. China
| | - Qin Chen
- Department of Ultrasound, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, P. R. China
| | - Yulan Peng
- Department of Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, P. R. China
| | - Baoming Luo
- Department of Ultrasound, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510235, P. R. China
| | - Lina Tang
- Department of Ultrasound, Fujian Provincial Cancer Hospital, Fuzhou 350014, P. R. China
| | - Jing Li
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang 110004, P. R. China
| | - Jihui Zheng
- Department of Ultrasound, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, P. R. China
| | - Ruhai Zhou
- Department of Ultrasound, Yinzhou Hospital Affiliated to Medical School of Ningbo University, Ningbo 315040, P. R. China
| | - Guanghe Cui
- Department of Ultrasound, Binzhou Medical University Hospital, Binzhou 256603, P. R. China
| | - Ao Li
- Department of Ultrasound, Jiangsu Province Hospital, Nanjing 210029, P. R. China
| | - Xuemei Wang
- Department of Ultrasound, The First Hospital of China Medical University, Shenyang 110001, P. R. China
| | - Linxue Qian
- Department of Ultrasound, Beijing Friendship Hospital of Capital Medical University, Beijing 100050, P. R. China
| | - Jianxing Zhang
- Department of Ultrasound, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, P. R. China
| | - Chaoyang Wen
- Department of Ultrasound, First Affiliated Hospital of PLA General Hospital, Beijing 100037, P. R. China
| | - Joel Gay
- Supersonic Imagine, Aix-en-Provence, France
| | | | - Anhua Li
- State Key Laboratory of Oncology in Southern China, Department of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou 510060, P. R. China
| | - Yaling Chen
- Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai 200032, P. R. China, .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P. R. China,
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Hari S, Paul SB, Vidyasagar R, Dhamija E, Adarsh AD, Thulkar S, Mathur S, Sreenivas V, Sharma S, Srivastava A, Seenu V, Prashad R. Breast mass characterization using shear wave elastography and ultrasound. Diagn Interv Imaging 2018; 99:699-707. [PMID: 30006125 DOI: 10.1016/j.diii.2018.06.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 06/08/2018] [Accepted: 06/12/2018] [Indexed: 01/27/2023]
Abstract
PURPOSE To evaluate the role of SWE in characterizing breast masses and ascertain whether additional use of SWE to ultrasound for evaluating BI-RADS 3 and 4a masses could help reduce long-term follow-up and unnecessary biopsies of these suspicious breast masses. MATERIALS AND METHODS This prospective, cross-sectional study was performed between June 2013 and November 2014. All enrolled patients underwent clinical breast examination, ultrasound, SWE and ultrasound-guided core biopsy of the breast mass. Breast Imaging Reporting and Data System (BI-RAD) categories were assigned to breast masses. For qualitative and quantitative variables of SWE, cut-off values for differentiation between benign and malignant breast masses were estimated. Modified BIRADS' (up/downgrading of BIRADS category) was done for BI-RADS 3/4a masses by combining individual SWE parameters and ultrasound findings. Sensitivity, specificity, positive and negative predictive value of modified BI-RADS' and ultrasound BI-RADS were compared. RESULTS A total of 119 women (mean age, 42.3±13.6 [SD] years; range: 13-87 years) with a single breast mass each were enrolled. Histopathologically, 57/119 (48%) breast masses were benign and 62 (52%) were malignant. On ultrasound, 42 breast masses were BI-RADS3 and 77 were BI-RADS 4 (4a, n=10; 4b, n=24; 4c, n=43) leading to 96.8% sensitivity and 70.2% specificity. On SWE, benign breast masses were oval/round, homogenous/reasonably homogenous, blue/green with lower elasticity values and malignant breast masses were irregular, inhomogeneous, red/orange with high elasticity values. On modified BI-RADS' using E-color and E-mean/E-max, specificity improved to 78.9% and 75.4% respectively. CONCLUSION Addition of SWE to ultrasound improves characterization of BI-RADS 3 and 4a masses. E-max, E-mean and E-color are the most useful SWE parameters to differentiate between malignant and benign breast masses.
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Affiliation(s)
- S Hari
- Department of Radiology, All India Institute of Medical Sciences, 110029 New Delhi, India
| | - S B Paul
- Department of Radiology, All India Institute of Medical Sciences, 110029 New Delhi, India.
| | - R Vidyasagar
- Department of Radiology, All India Institute of Medical Sciences, 110029 New Delhi, India
| | - E Dhamija
- Department of Radiology, All India Institute of Medical Sciences, 110029 New Delhi, India
| | - A D Adarsh
- Department of Radiology, All India Institute of Medical Sciences, 110029 New Delhi, India
| | - S Thulkar
- Department of Radiology, All India Institute of Medical Sciences, 110029 New Delhi, India
| | - S Mathur
- Departments of Pathology, All India Institute of Medical Sciences, 110029 New Delhi, India
| | - V Sreenivas
- Departments of Biostatistics, All India Institute of Medical Sciences, 110029 New Delhi, India
| | - S Sharma
- Department of Radiology, All India Institute of Medical Sciences, 110029 New Delhi, India
| | - A Srivastava
- Departments of Surgery, All India Institute of Medical Sciences, 110029 New Delhi, India
| | - V Seenu
- Departments of Surgery, All India Institute of Medical Sciences, 110029 New Delhi, India
| | - R Prashad
- Departments of Surgery, All India Institute of Medical Sciences, 110029 New Delhi, India
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Diagnostic performances of shear-wave elastography and B-mode ultrasound to differentiate benign and malignant breast lesions: the emphasis on the cutoff value of qualitative and quantitative parameters. Clin Imaging 2018; 50:302-307. [DOI: 10.1016/j.clinimag.2018.05.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 04/13/2018] [Accepted: 05/01/2018] [Indexed: 12/30/2022]
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22
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Sohn YM, Seo M. Breast lesions diagnosed by ultrasound-guided core needle biopsy: Can shearwave elastography predict histologic upgrade after surgery or vaccuum assisted excision? Clin Imaging 2018. [PMID: 29524785 DOI: 10.1016/j.clinimag.2018.03.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
PURPOSE To compare breast stiffness based on shear-wave elastography (SWE) quantitative parameters with histopathologic results diagnosed by ultrasound (US)-guided core needle biopsy (CNB) to determine their association with upgrade rates after surgical excision or follow-up US as well as clinico-radiologic differences between upgrade and non-upgrade groups. MATERIALS AND METHODS This retrospective study enrolled 225 breast lesions from 225 patients, including 159 benign lesions, 38 high risk lesions and 28 ductal carcinoma in situ (DCIS) diagnosed by US-guided CNB. Quantitative SWE parameters of breast lesions were measured before CNB and compared according to histopathologic results (benign, high risk and DCIS) and lesion size (<20 mm and >20 mm). Clinico-radiologic and pathologic factors were compared between upgrade and non-upgrade groups after surgical excision or follow-up US. RESULTS After surgical excision or follow-up US after more than one year, 29 lesions were upgraded for an overall upgrade rate of 12.9% (29/225). There were significant differences between upgrade and non-upgrade groups in age, mammographic category, US category, and sonographic features, including shape, margin, orientation, imaging-histologic correlation and E ratio. Patients with lesion upgrade were much older and had lesions characterized by significantly higher mammographic and US category (>4b), irregular shape, nonparallel orientation, microlobulated or angular margin, calcification in a mass, larger size on US (>20 mm) and greater imaging-histologic discordance. Multivariate analysis showed only mean and minimum elasticity values displayed a borderline association with histologic underestimation. CONCLUSION Upgrade of breast lesions diagnosed by US-guided CNB can be predicted using Emean and Emin among quantitative SWE parameters.
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Affiliation(s)
- Yu-Mee Sohn
- Department of Radiology, Kyung Hee University Hospital, College of Medicine, Kyung Hee University, Seoul, South Korea.
| | - Mirinae Seo
- Department of Radiology, Kyung Hee University Hospital, College of Medicine, Kyung Hee University, Seoul, South Korea
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Trama F, Riccardo F, Ruffo A, Celentano G, Romeo G, Russo A. Elastosonographic Changes in Patients with Peyronie's Disease, before and after Treatment with a Compound Based on <i>Ecklonia bicyclis</i>, <i>Tribulus terrestris</i>, and Water-Soluble Chitosan. ACTA ACUST UNITED AC 2018. [DOI: 10.4236/oju.2018.83009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Choi HY, Sohn YM, Seo M. Comparison of 3D and 2D shear-wave elastography for differentiating benign and malignant breast masses: focus on the diagnostic performance. Clin Radiol 2017; 72:878-886. [PMID: 28526455 DOI: 10.1016/j.crad.2017.04.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2016] [Revised: 03/23/2017] [Accepted: 04/10/2017] [Indexed: 12/13/2022]
Abstract
AIM To evaluate the diagnostic performance of three-dimensional (3D) image shear-wave elastography (SWE) for differentiating benign from malignant breast masses compared to two-dimensional (2D) SWE and B-mode ultrasound (US). MATERIALS AND METHODS This study consisted of 205 breast lesions from 199 patients who underwent B-mode US and SWE before biopsy from January 2014 to March 2016. Quantitative elasticity values (maximum and mean elasticity, Emax and Emean) obtained from 2D and 3D SWE (axial, sagittal, and coronal images) were reviewed retrospectively, in addition to the histopathological findings including immunohistochemistry profiles (luminal A, luminal B, human epidermal growth factor receptor 2 (HER2)-enriched, and triple-negative breast cancer) in cases of malignancy. Histopathological findings were regarded as the reference standard. The diagnostic performance of each data set was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC) analysis to compare sensitivity and specificity. RESULTS Among 205 lesions, 105 (51.22%) were malignant and 100 (48.78%) were benign. Compared to benign masses, malignant masses had higher values of Emax and Emean on both 2D and 3D SWE, the differences of which were statistically significant (p<0.001). The AUCs of 2D, 3D axial, and sagittal SWE were significantly higher than that of 3D coronal SWE (p<0.05). In addition, the sensitivities of axial, sagittal, and coronal 3D SWE were all higher than that of 2D SWE for Emean (81.9%, 87.6%, and 89.5% versus 70.5%, respectively, p<0.05). Conversely, the specificity of 2D and 3D axial SWE was higher than that of 3D sagittal and coronal SWE (Emax, 84%, 83% versus 76%, 73%; Emean, 85%, 81% versus 68%, 50%, respectively, p<0.05). We also assessed changes in Breast Imaging-Reporting and Data System (BI-RADS) category 3 and category 4a lesions by adding each of the parameters for 2D and 3D SWE in B-mode US. The specificity, PPV, and accuracy of combined 2D or combined 3D SWE with B-mode US was statistically higher than that of B-mode US alone for differentiating benign and malignant lesions (p<0.05). CONCLUSIONS Among SWE images, 2D SWE, and 3D SWE axial and sagittal images exhibited superior diagnostic performance compared to 3D coronal images. Addition of 3D SWE images to B-mode US improved the diagnostic performance for distinguishing benign from malignant masses.
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Affiliation(s)
- H Y Choi
- Department of Radiology, Kyung Hee University Hospital, College of Medicine, Kyung Hee University, Seoul, South Korea
| | - Y-M Sohn
- Department of Radiology, Kyung Hee University Hospital, College of Medicine, Kyung Hee University, Seoul, South Korea.
| | - M Seo
- Department of Radiology, Kyung Hee University Hospital, College of Medicine, Kyung Hee University, Seoul, South Korea
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Hong S, Woo OH, Shin HS, Hwang SY, Cho KR, Seo BK. Reproducibility and diagnostic performance of shear wave elastography in evaluating breast solid mass. Clin Imaging 2017; 44:42-45. [PMID: 28402836 DOI: 10.1016/j.clinimag.2017.03.022] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Revised: 03/13/2017] [Accepted: 03/29/2017] [Indexed: 01/27/2023]
Abstract
Shear wave elastography (SWE) was performed independently by two radiologists in 264 solid breast masses. The images were reviewed for color overlay pattern (COP) classification by the two radiologists, double blinded to any information. The interobserver agreement of the COP was almost perfect (κ=0.908) and high in Emax (ICC=0.89). The AUC value of the COP (0.954) was significantly higher than that of Emax (0.915) (p=0.002) but not significantly different from that of Emax combined with COP (0.957) (p=0.098). The SWE color overlay pattern and Emax of breast masses were highly reproducible. The COP had better diagnostic ability than Emax, suggesting that COP may be a more reliable parameter for solid breast mass evaluation.
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Affiliation(s)
- Sun Hong
- Department of Diagnostic Radiology, Korea University Guro Hospital, 148, Gurodong-ro, Gurogu, Seoul 152-703, Republic of Korea
| | - Ok Hee Woo
- Department of Diagnostic Radiology, Korea University Guro Hospital, 148, Gurodong-ro, Gurogu, Seoul 152-703, Republic of Korea.
| | - Hye Seon Shin
- Department of Diagnostic Radiology, Korea University Guro Hospital, 148, Gurodong-ro, Gurogu, Seoul 152-703, Republic of Korea
| | - Soon-Young Hwang
- Biostatistical Consulting Lab, Medical Science Research Center, College of Medicine, Korea University, Inchon-ro 73, Seongbuk-gu, 136-705 Seoul, Republic of Korea
| | - Kyu Ran Cho
- Department of Diagnostic Radiology, Korea University Anam Hospital, Inchon-ro 73, Seongbuk-gu 136-705, Seoul 136-750, Republic of Korea
| | - Bo Kyoung Seo
- Department of Radiology, Korea University Ansan Hospital, Jeokgeum-ro 123, Danwon-gu, Gyeonggi-do 425-707, Republic of Korea
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Cong R, Li J, Guo S. A new qualitative pattern classification of shear wave elastograghy for solid breast mass evaluation. Eur J Radiol 2017; 87:111-119. [DOI: 10.1016/j.ejrad.2016.12.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 11/13/2016] [Accepted: 12/19/2016] [Indexed: 12/21/2022]
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Tian J, Liu Q, Wang X, Xing P, Yang Z, Wu C. Application of 3D and 2D quantitative shear wave elastography (SWE) to differentiate between benign and malignant breast masses. Sci Rep 2017; 7:41216. [PMID: 28106134 PMCID: PMC5247720 DOI: 10.1038/srep41216] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Accepted: 12/16/2016] [Indexed: 01/03/2023] Open
Abstract
As breast cancer tissues are stiffer than normal tissues, shear wave elastography (SWE) can locally quantify tissue stiffness and provide histological information. Moreover, tissue stiffness can be observed on three-dimensional (3D) colour-coded elasticity maps. Our objective was to evaluate the diagnostic performances of quantitative features in differentiating breast masses by two-dimensional (2D) and 3D SWE. Two hundred ten consecutive women with 210 breast masses were examined with B-mode ultrasound (US) and SWE. Quantitative features of 3D and 2D SWE were assessed, including elastic modulus standard deviation (ESDE) measured on SWE mode images and ESDU measured on B-mode images, as well as maximum elasticity (Emax). Adding quantitative features to B-mode US improved the diagnostic performance (p < 0.05) and reduced false-positive biopsies (p < 0.0001). The area under the receiver operating characteristic curve (AUC) of 3D SWE was similar to that of 2D SWE for ESDE (p = 0.026) and ESDU (p = 0.159) but inferior to that of 2D SWE for Emax (p = 0.002). Compared with ESDU, ESDE showed a higher AUC on 2D (p = 0.0038) and 3D SWE (p = 0.0057). Our study indicates that quantitative features of 3D and 2D SWE can significantly improve the diagnostic performance of B-mode US, especially 3D SWE ESDE, which shows considerable clinical value.
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Affiliation(s)
- Jie Tian
- Ultrasound Department, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Qianqi Liu
- Ultrasound Department, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xi Wang
- Ultrasound Department, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ping Xing
- Ultrasound Department, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhuowen Yang
- Endocrinology Department, the First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Changjun Wu
- Ultrasound Department, the First Affiliated Hospital of Harbin Medical University, Harbin, China
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Diagnostic Value of ARFI (Acoustic Radiation Force Impulse) in Differentiating Benign From Malignant Breast Lesions. Acad Radiol 2017; 24:45-52. [PMID: 27765598 DOI: 10.1016/j.acra.2016.09.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 09/05/2016] [Accepted: 09/14/2016] [Indexed: 01/06/2023]
Abstract
RATIONALE AND OBJECTIVES The aim of this study was to correlate acoustic radiation force impulse (ARFI) imaging velocities with the pathology results and to evaluate the ability of ARFI in distinguishing benign from malignant breast lesions. MATERIALS AND METHODS B-mode ultrasonography (US) and ARFI were performed in patients with previously diagnosed and selected breast lesions for biopsy. Shear wave velocity (SWV) was measured inside lesions and in the surrounding parenchyma (m/s). SWV measurements as well as lesion-to-parenchyma ratio (LPR) were compared between benign and malignant lesions, and receiver operating characteristic (ROC) curves were plotted. Two blinded readers independently classified the lesions as benign or malignant in two separate reading sessions, one using B-mode US alone and the other using a combined set of B-mode US and ARFI. RESULTS Eighty-one patients with a total of 92 breast lesions were included (57 benign and 35 malignant nodules). SWV inside lesions were significantly higher for malignant neoplasms compared to benign (medians of 9.1 m/s vs 3.5 m/s; P < 0.001). LPR was also significantly higher for malignant lesions (3.0 vs 1.4; P < 0.001). Parenchyma SWV had no differences between groups (P = 0.071). ROC curves showed a significant discriminative power for lesion SWV (area under the curve [AUC] = 0.980; P < 0.001) and LPR (AUC = 0.954; P < 0.001). For lesion measures, a cutoff of 6.593 m/s was obtained, with sensitivity and specificity of 88.6% and 96.5%, respectively. CONCLUSIONS ARFI provides quantitative elasticity measurements, adding valuable complementary information to B-mode ultrasound, that can potentially help in breast lesion characterization and assisting the decision for biopsy recommendations.
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A. Elmoneam G, Almolla RM, Ahmed AF, Ahmad Al Ekrashy M. Supersonic shear waves quantitative elastography and kinetic magnetic resonance dynamic curve in discriminating BI-RADS 4 breast masses: A comparative study. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2016. [DOI: 10.1016/j.ejrnm.2016.08.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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Lee SE, Moon JE, Rho YH, Kim EK, Yoon JH. Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis. Ultrasonography 2016; 36:153-159. [PMID: 27764908 PMCID: PMC5381849 DOI: 10.14366/usg.16033] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 09/24/2016] [Accepted: 09/24/2016] [Indexed: 12/21/2022] Open
Abstract
Purpose The aim of this study was to evaluate and compare the diagnostic performance of grayscale ultrasonography (US), US elastography, and US computer-aided diagnosis (US-CAD) in the differential diagnosis of breast masses. Methods A total of 193 breast masses in 175 consecutive women (mean age, 46.4 years) from June to August 2015 were included. US and elastography images were obtained and recorded. A US-CAD system was applied to the grayscale sonograms, which were automatically analyzed and visualized in order to generate a final assessment. The final assessments of breast masses were based on the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) categories, while elasticity scores were assigned using a 5-point scoring system. The diagnostic performance of grayscale US, elastography, and US-CAD was calculated and compared. Results Of the 193 breast masses, 120 (62.2%) were benign and 73 (37.8%) were malignant. Breast masses had significantly higher rates of malignancy in BI-RADS categories 4c and 5, elastography patterns 4 and 5, and when the US-CAD assessment was possibly malignant (all P<0.001). Elastography had higher specificity (40.8%, P=0.042) than grayscale US. US-CAD showed the highest specificity (67.5%), positive predictive value (PPV) (61.4%), accuracy (74.1%), and area under the curve (AUC) (0.762, all P<0.05) among the three diagnostic tools. Conclusion US-CAD had higher values for specificity, PPV, accuracy, and AUC than grayscale US or elastography. Computer-based analysis based on the morphologic features of US may be very useful in improving the diagnostic performance of breast US.
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Affiliation(s)
- Si Eun Lee
- Department of Radiology, Severance Hospital and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Ji Eun Moon
- Department of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea
| | - Yun Ho Rho
- Department of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea
| | - Eun-Kyung Kim
- Department of Radiology, Severance Hospital and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Jung Hyun Yoon
- Department of Radiology, Severance Hospital and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
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