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Shear-wave versus strain elastography in endoscopic ultrasound for the diagnosis of chronic pancreatitis. Pancreatology 2023; 23:35-41. [PMID: 36456465 DOI: 10.1016/j.pan.2022.11.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 11/03/2022] [Accepted: 11/22/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND /Objectives: Endoscopic ultrasound (EUS) elastography is a non-invasive diagnostic method for evaluating tissue elasticity. The aims of this study were to compare shear-wave elastography (SWE) and conventional strain elastography (SE) in determination of the diagnosis and degree of chronic pancreatitis (CP). METHODS Forty-nine patients who underwent computed tomography (CT), EUS-SWE, EUS-SE, and pancreatic exocrine function testing between January 2019 and January 2022 were prospectively evaluated. CP was diagnosed according to Japan Pancreatic Society criteria (JPSC) 2019, Rosemont criteria (RC), CT findings, and pancreatic exocrine dysfunction. The cut-off values, sensitivity, and specificity for CP diagnosed according to the four criteria were calculated for EUS-SWE and EUS-SE. Relationships between values measured by either of the EUS elastography methods and the number of EUS features were also assessed. RESULTS EUS-SWE values were positively correlated with the severity grades of RC and JPSC, but EUS-SE values were not. EUS-SWE was significantly better than EUS-SE for diagnosing CP defined according to CT findings (area under the receiver operating characteristics curve [AUROC]: 0.77 vs. 0.61, P < 0.001), RC (AUROC: 0.85 vs. 0.56, P < 0.001), JPSC 2019 (AUROC: 0.83 vs. 0.53, P < 0.001), and exocrine dysfunction (AUROC: 0.78 vs. 0.61, P < 0.001). EUS-SWE values were positively correlated with the number of EUS features, but EUS-SE values were not. CONCLUSIONS EUS-SWE provides objective assessment for diagnosing and assessing the degree of CP defined according to the criteria of CT findings, RC, JPSC, or exocrine dysfunction, and it can be considered a non-invasive diagnostic tool for CP and exocrine dysfunction.
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Brizzi G, Crepaldi P, Roccabianca P, Morabito S, Zini E, Auriemma E, Zanna G. Strain elastography for the assessment of skin nodules in dogs. Vet Dermatol 2021; 32:272-e75. [PMID: 33830557 DOI: 10.1111/vde.12954] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 11/19/2020] [Accepted: 01/03/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Strain elastography (SE) is a modern imaging technology that provides an additional way of evaluating the changes in soft tissue elasticity caused by pathophysiological processes. Despite its widespread use in human medicine, only a few studies on the application of SE in veterinary medicine are available. OBJECTIVES To evaluate the potential usefulness of SE as an integrative imaging model in the standard ultrasound technique to better discriminate between inflammatory and neoplastic skin nodules in dogs. ANIMALS Fifty-one client-owned dogs with clinical evidence of single or multiple skin nodules detected during routine dermatological examination. METHODS AND MATERIALS Margins, echogenicity, echo-structure, calcification and vascularisation of 65 skin nodules were assessed with ultrasound, and SE was used to score qualitative (E-score, E-index, E2) and semiquantitative (SR) parameters. A comparison of diagnostic yields with cytological and histological findings as the gold standard was performed. RESULTS Mast cell and benign follicular tumours showed the highest E-scores and SRs among neoplastic nodules; statistically significant differences were not detected. Calcific and nonvascularised nodules showed significantly higher E-index values than the others. Overall, a negative correlation was observed between the longitudinal diameter of skin nodules and the qualitative elastic parameters. CONCLUSIONS AND CLINICAL IMPORTANCE In this study, SE proved to be useful to identify only a subset of nodules such as mast cells and hair follicular tumours. Although evidence supporting the use of SE in evaluating skin nodules was demonstrated to below, indicators to guide further research were developed.
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Affiliation(s)
- Giulia Brizzi
- AniCura Istituto Veterinario Novara, Strada Provinciale 9, Granozzo con Monticello, NO, 28060, Italy
| | - Paola Crepaldi
- Department of Agricultural and Environmental Sciences Production, Landscape, Agroenergy, University of Milan, Via Celoria 2, 20133, Italy
| | - Paola Roccabianca
- Department of Pathology, Hygiene and Veterinary Public Health, Università degli studi di Milano, Via dell'Università 6, Lodi, 26900, Italy
| | - Simona Morabito
- AniCura Istituto Veterinario Novara, Strada Provinciale 9, Granozzo con Monticello, NO, 28060, Italy
| | - Eric Zini
- AniCura Istituto Veterinario Novara, Strada Provinciale 9, Granozzo con Monticello, NO, 28060, Italy.,The Clinic for Small Animal Internal Medicine, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 260, Zurich, 8057, Switzerland.,Department of Animal Medicine Production and Health, Università degli Studi di Padova, Viale dell'Università 16, Legnaro, PD, 35020, Italy
| | - Edoardo Auriemma
- AniCura Istituto Veterinario Novara, Strada Provinciale 9, Granozzo con Monticello, NO, 28060, Italy
| | - Giordana Zanna
- AniCura Istituto Veterinario Novara, Strada Provinciale 9, Granozzo con Monticello, NO, 28060, Italy
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Dickson DM, Smith SL, Hendry GJ. Can patient characteristics explain variance in ultrasound strain elastography measures of the quadratus femoris and patellar tendons? Knee 2021; 28:282-293. [PMID: 33460994 DOI: 10.1016/j.knee.2020.12.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 09/18/2020] [Accepted: 12/21/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVES To explore the associations between participant characteristics and magnitudes of difference in paired elastography measures of knee tendon from different ultrasound systems, and to compare strain elastography pattern description. MATERIALS AND METHODS Quadriceps and patellar tendons of 20 healthy volunteers (40 tendons) were examined by an experienced operator employing two ultrasound systems (GE S8 and Esaote MyLab 70XVG). Pearson/Spearman correlations explored the influence of participant characteristics (BMI, body fat %, leg circumference, activity level) on the magnitude of differences between measures. Paired-sample t test or Wilcoxon signed rank test were performed to compare repeated measures of individual ultrasound systems. RESULTS The quadriceps tendon was characteristically stiffer than the patellar tendon. Participant characteristics were associated with within machine differences of the distal quadriceps tendon (BMI; r = 0.49, p = 0.028-0.03 and body fat %; r = 0.43, p = 0.05-0.056) ER measures. CONCLUSIONS Anthropometric and body composition parameters were associated with within machine differences for elasticity measures, where high BMI and body fat % contribute to paired measurement variance at the distal quadriceps tendon. Strain elastography protocols should be standardised, repeated ER measures performed using the same US system and patient characteristics considered for future clinical applications.
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Affiliation(s)
- Diane M Dickson
- Glasgow Caledonian University, School of Health and Life Sciences, Glasgow, UK.
| | - Stephanie L Smith
- Glasgow Caledonian University, School of Health and Life Sciences, Glasgow, UK; University of Nottingham, University Park, Nottingham, UK
| | - Gordon J Hendry
- Glasgow Caledonian University, School of Health and Life Sciences, Glasgow, UK
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Using Elastographic Ultrasound to Assess Plantar Tissue Stiffness after Walking at Different Speeds and Durations. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10217498] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Exercise has been demonstrated to improve health in people with diabetes. However, exercise may increase risk for foot ulcers because of increased plantar pressure during most weight-bearing physical activities. To date, there is no study investigating the effect of various walking speeds and durations (i.e., the most common form of exercise in daily living) on the plantar foot. The objective of this study was to investigate the effect of various walking intensities on plantar tissue stiffness. A 3 × 2 factorial design, including three walking speeds (1.8, 3.6 and 5.4 mph) and two durations (10 and 20 min), was tested in 12 healthy participants. B-mode and elastographic ultrasound images were measured from the first metatarsal head to quantify plantar tissue stiffness after walking. Two-way ANOVA was used to examine the results. Our results showed that the walking speed factor caused a significant main effect of planar stiffness of the superficial layers (p = 0.007 and 0.003, respectively). However, the walking duration factor did not significantly affect the plantar stiffness. There was no interaction between the speed and duration factors on plantar tissue stiffness. Regarding the walking speed effect, there was a significant difference in the plantar stiffness between 1.8 and 3.6 mph (56.8 ± 0.8% vs. 53.6 ± 0.9%, p = 0.017) under 20 min walking duration. This finding is significant because moderate-to-fast walking speed (3.6 mph) can decrease plantar stiffness compared to slow walking speed (1.8 mph). This study suggests people at risk for foot ulcers walk at a preferred or fast speed (3.6 mph) rather than walk slowly (1.8 mph).
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Chang KV, Wu WT, Chen IJ, Lin CY. Strain Ratio of Ultrasound Elastography for the Evaluation of Tendon Elasticity. Korean J Radiol 2020; 21:384-385. [PMID: 32090531 PMCID: PMC7039728 DOI: 10.3348/kjr.2019.0737] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Accepted: 11/03/2019] [Indexed: 01/03/2023] Open
Affiliation(s)
- Ke Vin Chang
- Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.,Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch, Taipei, Taiwan.
| | - Wei Ting Wu
- Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Bei-Hu Branch, Taipei, Taiwan
| | - Ing Jeng Chen
- Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Che Yu Lin
- Institute of Applied Mechanics, College of Engineering, National Taiwan University, Taipei, Taiwan
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Fernandes J, Sannachi L, Tran WT, Koven A, Watkins E, Hadizad F, Gandhi S, Wright F, Curpen B, El Kaffas A, Faltyn J, Sadeghi-Naini A, Czarnota G. Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Ultrasound Strain Elastography. Transl Oncol 2019; 12:1177-1184. [PMID: 31226518 PMCID: PMC6586920 DOI: 10.1016/j.tranon.2019.05.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 05/03/2019] [Accepted: 05/06/2019] [Indexed: 02/06/2023] Open
Abstract
Strain elastography was used to monitor response to neoadjuvant chemotherapy (NAC) in 92 patients with biopsy-proven, locally advanced breast cancer. Strain elastography data were collected before, during, and after NAC. Relative changes in tumor strain ratio (SR) were calculated over time, and responder status was classified according to tumor size changes. Statistical analyses determined the significance of changes in SR over time and between response groups. Machine learning techniques, such as a naïve Bayes classifier, were used to evaluate the performance of the SR as a marker for Miller-Payne pathological endpoints. With pathological complete response (pCR) as an endpoint, a significant difference (P < .01) in the SR was observed between response groups as early as 2 weeks into NAC. Naïve Bayes classifiers predicted pCR with a sensitivity of 84%, specificity of 85%, and area under the curve of 81% at the preoperative scan. This study demonstrates that strain elastography may be predictive of NAC response in locally advanced breast cancer as early as 2 weeks into treatment, with high sensitivity and specificity, granting it the potential to be used for active monitoring of tumor response to chemotherapy.
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Affiliation(s)
- Jason Fernandes
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, CA
| | - Lakshmanan Sannachi
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, CA; Physical Sciences, Sunnybrook Research Institute, Toronto, CA
| | - William T Tran
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, CA; Department of Radiation Oncology, University of Toronto, Toronto, CA; Centre for Health and Social Care Research, Sheffield Hallam University, Sheffield, UK; Institute of Clinical Evaluative Sciences, Sunnybrook Research Institute, Toronto, CA
| | - Alexander Koven
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, CA
| | - Elyse Watkins
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, CA
| | - Farnoosh Hadizad
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, CA
| | - Sonal Gandhi
- Division of Medical Oncology, Sunnybrook Health Sciences Centre, Toronto, CA
| | - Frances Wright
- Division of Surgical Oncology, Sunnybrook Health Sciences Centre, Toronto, CA
| | - Belinda Curpen
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, CA
| | - Ahmed El Kaffas
- Physical Sciences, Sunnybrook Research Institute, Toronto, CA
| | - Joanna Faltyn
- Physical Sciences, Sunnybrook Research Institute, Toronto, CA
| | - Ali Sadeghi-Naini
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, CA; Department of Radiation Oncology, University of Toronto, Toronto, CA; Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, CA; Physical Sciences, Sunnybrook Research Institute, Toronto, CA
| | - Gregory Czarnota
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, CA; Department of Radiation Oncology, University of Toronto, Toronto, CA; Department of Medical Biophysics, University of Toronto, Toronto, CA; Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, CA; Physical Sciences, Sunnybrook Research Institute, Toronto, CA.
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Carbente RP, Maia JM, Assef AA. Image reconstruction utilizing median filtering applied to elastography. Biomed Eng Online 2019; 18:22. [PMID: 30866955 PMCID: PMC6417019 DOI: 10.1186/s12938-019-0641-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 03/06/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The resources of ultrafast technology can be used to add another analysis to ultrasound imaging: assessment of tissue viscoelasticity. Ultrafast image formation can be utilized to find transitory shear waves propagating in soft tissue, which permits quantification of the mechanical properties of the tissue via elastography. This technique permits simple and noninvasive diagnosis and monitoring of disease. METHODS This article presents a method to estimate the viscoelastic properties and rigidity of structures using the ultrasound technique known as shear wave elasticity imaging (SWEI). The Verasonics Vantage 128 research platform and L11-4v transducer were used to acquire radio frequency signals from a model 049A elastography phantom (CIRS, USA), with subsequent processing and analysis in MATLAB. RESULTS The images and indexes obtained reflect the qualitative measurements of the different regions of inclusions in the phantom and the respective alterations in the viscoelastic properties of distinct areas. Comparison of the results obtained with this proposed technique and other commonly used techniques demonstrates the characteristics of median filtering in smoothing variations in velocity to form elastographic images. The results from the technique proposed in this study are within the margins of error indicated by the phantom manufacturer for each type of inclusion; for the phantom base and for type I, II, III, and IV inclusions, respectively, in kPa and percentage errors, these are 25 (24.0%), 8 (37.5%), 14 (28.6%), 45 (17.8%), and 80 (15.0%). The values obtained using the method proposed in this study and mean percentage errors were 29.18 (- 16.7%), 10.26 (- 28.2%), 15.64 (- 11.7%), 45.81 (- 1.8%), and 85.21 (- 6.5%), respectively. CONCLUSIONS The new technique to obtain images uses a distinct filtering function which considers the mean velocity in the region around each pixel, in turn allowing adjustments according to the characteristics of the phantom inclusions within the ultrasound and optimizing the resulting elastographic images.
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Affiliation(s)
- Rubem P Carbente
- Electrical Engineering Department and the Graduate School of Electrical Engineering (DAELT), Federal University of Technology-Paraná (UTFPR), Curitiba, PR, Brazil.
| | - Joaquim M Maia
- Electrical/Electronic Engineering Department and the Graduate School of Electrical Engineering and Applied Computer Sciences (DAELT-DAELN-CPGEI), Federal University of Technology-Paraná (UTFPR), Curitiba, PR, Brazil
| | - Amauri A Assef
- Electrical/Electronic Engineering Department and the Graduate School of Electrical Engineering and Applied Computer Sciences (DAELT-DAELN-CPGEI), Federal University of Technology-Paraná (UTFPR), Curitiba, PR, Brazil
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