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Rosen DP, Nayak R, Wang Y, Gendin D, Larson NB, Fazzio RT, Oberai AA, Hall TJ, Barbone PE, Alizad A, Fatemi M. A Force-Matched Approach to Large-Strain Nonlinearity in Elasticity Imaging for Breast Lesion Characterization. IEEE Trans Biomed Eng 2024; 71:367-374. [PMID: 37590110 PMCID: PMC10843664 DOI: 10.1109/tbme.2023.3305986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
OBJECTIVE Ultrasound elasticity imaging is a class of ultrasound techniques with applications that include the detection of malignancy in breast lesions. Although elasticity imaging traditionally assumes linear elasticity, the large strain elastic response of soft tissue is known to be nonlinear. This study evaluates the nonlinear response of breast lesions for the characterization of malignancy using force measurement and force-controlled compression during ultrasound imaging. METHODS 54 patients were recruited for this study. A custom force-instrumented compression device was used to apply a controlled force during ultrasound imaging. Motion tracking derived strain was averaged over lesion or background ROIs and matched with compression force. The resulting force-matched strain was used for subsequent analysis and curve fitting. RESULTS Greater median differences between malignant and benign lesions were observed at higher compressional forces (p-value < 0.05 for compressional forces of 2-6N). Of three candidate functions, a power law function produced the best fit to the force-matched strain. A statistically significant difference in the scaling parameter of the power function between malignant and benign lesions was observed (p-value = 0.025). CONCLUSIONS We observed a greater separation in average lesion strain between malignant and benign lesions at large compression forces and demonstrated the characterization of this nonlinear effect using a power law model. Using this model, we were able to differentiate between malignant and benign breast lesions. SIGNIFICANCE With further development, the proposed method to utilize the nonlinear elastic response of breast tissue has the potential for improving non-invasive lesion characterization for potential malignancy.
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Barbagianni MS, Gouletsou PG. Modern Imaging Techniques in the Study and Disease Diagnosis of the Mammary Glands of Animals. Vet Sci 2023; 10:vetsci10020083. [PMID: 36851387 PMCID: PMC9965774 DOI: 10.3390/vetsci10020083] [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: 12/07/2022] [Revised: 01/12/2023] [Accepted: 01/20/2023] [Indexed: 01/25/2023] Open
Abstract
The study of the structure and function of the animals' mammary glands is of key importance, as it reveals pathological processes at their onset, thus contributing to their immediate treatment. The most frequently studied mammary diseases are mastitis in cows and ewes and mammary tumours in dogs and cats. Various imaging techniques such as computed tomography, positron emission tomography, magnetic resonance imaging, and ultrasonographic techniques (Doppler, contrast-enchanced, three-dimensional and elastography) are available and can be applied in research or clinical practice in order to evaluate possible abnormalities in mammary glands, as well as to assist in the differential diagnosis. In this review, the above imaging technologies are described, and the perspectives of each method are highlighted. It is inferred that ultrasonographic modalities are the most frequently used imaging techniques for the diagnosis of clinical or subclinical mastitis and treatment guidance on a farm. In companion animals, a combination of imaging techniques should be applied for a more accurate diagnosis of mammary tumours. In any case, the confirmation of the diagnosis is provided by laboratory techniques.
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Wang A, Zhong J, Wang S, Wang H, Tao L, Wei H, Chen X, Zhou X, Sun J. Different precompression does not reduce the diagnostic value of virtual touch tissue imaging and quantification (VTIQ) in breast lesions, especially for the ratio of the shear wave velocity between lesions and surrounding tissues. Eur J Radiol 2022; 151:110284. [PMID: 35390603 DOI: 10.1016/j.ejrad.2022.110284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 03/13/2022] [Accepted: 03/28/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To investigate the accuracy of virtual touch tissue imaging and quantification (VTIQ) in the diagnosis of benign and malignant breast lesions under four different precompression levels. The shear wave velocity (SWV) ratios of lesion to surrounding tissue were also added for diagnosis. METHODS 167 female patients with breast lesions were included in this single center prospective study. VTIQ was performed under four different precompression levels. The SWV of the lesion, surrounding fat, and gland tissue were measured at the same depth as much as feasible 7 times. The breast lesions studied were all histopathologically confirmed. The VTIQ parameters were compared between precompression levels. The area under the receiver operating characteristic curve (AUC) was calculated to evaluate the diagnostic performance of each parameter of the VTIQ. RESULTS The VTIQ parameters of the malignant lesions were significantly higher than those of benign lesions in all precompression levels (P < 0.001). SWV of the lesion, fat, and gland tissue increased significantly with increasing precompression. The VTIQ parameters had great diagnostic performance for breast lesions in all precompression levels (AUC = 0.765-0.911). There was no significant difference between the precompression levels of the lesion-to-fat SWV ratio and the lesion-to-gland SWV ratio in benign and malignant lesions, and the cut-off coefficients of variation were 7.42% and 8.55%, respectively. CONCLUSIONS Precompression can increase the stiffness of breast lesions, fat and gland tissues, but does not reduce diagnostic value of VTIQ parameters in the breast. Under different precompression levels, the diagnosis of breast lesions by the ratio of the SWV of the lesion to the surrounding tissues is more stable.
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Affiliation(s)
- Achen Wang
- In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, NanGang District, Harbin 150086, China
| | - Jingwen Zhong
- In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, NanGang District, Harbin 150086, China
| | - Shuhan Wang
- In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, NanGang District, Harbin 150086, China
| | - Hongbo Wang
- In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, NanGang District, Harbin 150086, China
| | - Lin Tao
- In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, NanGang District, Harbin 150086, China
| | - Hong Wei
- In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, NanGang District, Harbin 150086, China
| | - Xi Chen
- In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, NanGang District, Harbin 150086, China
| | - Xianli Zhou
- In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, NanGang District, Harbin 150086, China.
| | - Jiawei Sun
- In-Patient Ultrasound Department, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, NanGang District, Harbin 150086, China.
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Remote Ultrasound Scan Procedures with Medical Robots: Towards New Perspectives between Medicine and Engineering. Appl Bionics Biomech 2022; 2022:1072642. [PMID: 35154375 PMCID: PMC8832154 DOI: 10.1155/2022/1072642] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/10/2021] [Accepted: 02/01/2022] [Indexed: 12/13/2022] Open
Abstract
Background This review explores state-of-the-art teleoperated robots for medical ultrasound scan procedures, providing a comprehensive look including the recent trends arising from the COVID-19 pandemic. Methods Physicians' experience is included to indicate the importance of their role in the design of improved medical robots. From this perspective, novel classes of equipment for remote diagnostics based on medical robotics are discussed in terms of innovative engineering technologies. Results Relevant literature is reviewed under the system engineering point of view, organizing the discussion on the basis of the main technological focus of each contribution. Conclusions This contribution is aimed at stimulating new research to obtain faster results on teleoperated robotics for ultrasound diagnostics in response to the high demand raised by the ongoing pandemic.
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