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Journal articles on the topic 'Ultrasound tissue characterisation'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Washburn, Neal, Kentaro Onishi, and James H.-C. Wang. "Ultrasound elastography and ultrasound tissue characterisation for tendon evaluation." Journal of Orthopaedic Translation 15 (October 2018): 9–20. http://dx.doi.org/10.1016/j.jot.2018.06.003.

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2

Taylor, Kenneth J. W., and P. N. T. Wells. "Tissue characterisation." Ultrasound in Medicine & Biology 15, no. 5 (January 1989): 421–28. http://dx.doi.org/10.1016/0301-5629(89)90094-x.

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3

Erglis, Andrejs, Sanda Jegere, and Inga Narbute. "Intravascular Ultrasound-based Imaging Modalities for Tissue Characterisation." Interventional Cardiology Review 9, no. 3 (2014): 151. http://dx.doi.org/10.15420/icr.2014.9.3.151.

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Atherosclerosis is the leading cause of cardiovascular mortality and morbidity in the developed world. Intravascular ultrasound (IVUS) is a widely used imaging modality providing complementary diagnostic information to angiography regarding the vessel wall of the coronary arteries. IVUS has been used for assessment of ambiguous angiographic lesions, evaluation of new interventional devices and in atherosclerosis progression-regression trials. However, the standard gray-scale IVUS has limited value for the accurate identification of specific plaque components. This limitation has been partially over- come by introduction of new IVUS-based imaging methods such as: virtual histology IVUS, iMAP-IVUS and Integrated Backscatter IVUS. These methods utilise the ultrasound backscatter signal to enable a more detailed characterization of plaque morphology or tissue characterization and to provide insight on the features of vulnerable plaque.

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4

Costa, E. T., and S. Leeman. "Reflections on tissue characterisation." Physics in Medicine and Biology 34, no. 11 (November 1, 1989): 1675–81. http://dx.doi.org/10.1088/0031-9155/34/11/014.

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5

Sadowski, Elizabeth A., Katherine E. Maturen, Andrea Rockall, Caroline Reinhold, Helen Addley, Priyanka Jha, Nishat Bharwani, and Isabelle Thomassin-Naggara. "Ovary: MRI characterisation and O-RADS MRI." British Journal of Radiology 94, no. 1125 (September 1, 2021): 20210157. http://dx.doi.org/10.1259/bjr.20210157.

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Ultrasound has a high specificity for the diagnosis of a benign lesion in cases of classic appearing simple cyst, hemorrhagic cyst, endometrioma and dermoid. However, ultrasound can sometimes be limited for definitive characterisation and risk stratification of other types of lesions, including those with echogenic content that may appear solid, with or without blood flow. Frequently, MRI can be used to further characterise these types of lesions, due to its ability to distinguish solid tissue from non-tissue solid components such as fat, blood, or debris. Incorporating the MR imaging into the evaluation of adnexal lesions can improve diagnostic certainty and guide clinical management potentially avoiding inappropriate surgery for benign lesions and expediting appropriate treatment for malignant lesions, particularly in the females with sonographically indeterminate adnexal lesions.

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6

Morrison, Troy, Sara Jones, Ryan Scott Causby, and Kerry Thoirs. "Reliability of ultrasound in evaluating the plantar skin and fat pad of the foot in the setting of diabetes." PLOS ONE 16, no. 9 (September 23, 2021): e0257790. http://dx.doi.org/10.1371/journal.pone.0257790.

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Ultrasound can be used to assess injury and structural changes to the soft-tissue structure of the foot. It may be useful to assess the feet of people with diabetes who are at increased risk of plantar soft-tissue pathological changes. The aim of this study was to determine if ultrasound measurements of plantar soft-tissue thickness and assessments of tissue acoustic characteristics are reliable in people with and without diabetes mellitus. A repeated measures design was used to determine intra-observer reliability for ultrasound measurements of plantar skin and fat pad thickness and intra- and inter-observer reliability of plantar skin and fat pad tissue characterisation assessments made at foot sites which are at risk of tissue injury in people with diabetes. Thickness measurements and tissue characterisation assessments were obtained at the heel and forefoot in both the unloaded and compressed states and included discrete layers of the plantar tissues: skin, microchamber, horizontal fibrous band, macrochamber and total soft-tissue depth. At each site, relative intra-observer reliability was achieved for the measurement of at least one plantar tissue layer. The total soft-tissue thickness measured in the unloaded state (ICC 0.925–0.976) demonstrated intra-observer reliability and is the most sensitive for detecting small change on repeated measures. Intra-observer agreement was demonstrated for tissue characteristic assessments of the skin at the heel (k = 0.70), fat pad at the lateral sesamoid region (k = 0.70) and both skin and fat pad at the second (k = 0.80, k = 0.70 respectively) and third metatarsal heads (k = 0.90, k = 0.79 respectively). However, acceptable inter-observer agreement was not demonstrated for any tissue characteristic assessment, therefore the use of multiple observers should be avoided when making these assessments.

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7

Stromer, Jeremy, and Leila Ladani. "Investigating ultrasound imaging in the frequency domain for tissue characterisation." Nondestructive Testing and Evaluation 31, no. 3 (October 14, 2015): 209–18. http://dx.doi.org/10.1080/10589759.2015.1093627.

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8

Govindaraju, Senthil Kumar, Hashim Uddin Ahmed, Mahua Sahu, and Mark Emberton. "Tissue Characterisation in Prostate Cancer Using a Novel Ultrasound Approach." British Journal of Medical and Surgical Urology 1, no. 3 (November 2008): 98–106. http://dx.doi.org/10.1016/j.bjmsu.2008.09.003.

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9

Robinson, D. E., J. C. Bamber, B. Doust, M. Fukuda, J. F. Greenleaf, F. Lizzi, J. Ophir, J. M. Reid, J. M. Thijssen, and L. S. Wilson. "Tissue characterisation at WFUMB '85." Ultrasound in Medicine & Biology 12, no. 9 (September 1986): 725–28. http://dx.doi.org/10.1016/0301-5629(86)90302-9.

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10

Thijssen, J. M. "Ultrasonic tissue characterisation and echographic imaging." Physics in Medicine and Biology 34, no. 11 (November 1, 1989): 1667–74. http://dx.doi.org/10.1088/0031-9155/34/11/013.

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11

Lay, H. S., B. F. Cox, M. Sunoqrot, C. E. M. Démoré, I. Näthke, T. Gomez, and S. Cochran. "Microultrasound characterisation of ex vivo porcine tissue for ultrasound capsule endoscopy." Journal of Physics: Conference Series 797 (January 2017): 012003. http://dx.doi.org/10.1088/1742-6596/797/1/012003.

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12

Cannon, Louise Mary, Andrew J. Fagan, and Jacinta E. Browne. "1404: Characterisation of New Tissue Mimicking Materials for Breast Ultrasound Phantoms." Ultrasound in Medicine & Biology 35, no. 8 (August 2009): S209. http://dx.doi.org/10.1016/j.ultrasmedbio.2009.06.790.

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13

Docking, S. I., J. T. M. van Schie, J. Daffy, S. Rosengarten, and J. L. Cook. "BILATERAL CHANGES IN UNILATERAL ACHILLES TENDINOPATHY QUANTIFIED USING ULTRASOUND TISSUE CHARACTERISATION." British Journal of Sports Medicine 47, no. 9 (May 10, 2013): e2.42-e2. http://dx.doi.org/10.1136/bjsports-2013-092459.47.

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14

van Schie, H. T. M., S. I. Docking, J. Daffy, S. E. Praet, S. Rosengarten, and J. L. Cook. "ULTRASOUND TISSUE CHARACTERISATION, AN INNOVATIVE TECHNIQUE FOR INJURY-PREVENTION AND MONITORING OF TENDINOPATHY." British Journal of Sports Medicine 47, no. 9 (May 10, 2013): e2.20-e2. http://dx.doi.org/10.1136/bjsports-2013-092459.27.

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15

Rosengarten, S., S. I. Docking, J. T. M. van Schie, J. Daffy, and J. L. Cook. "TENDON RESPONSE IN ACHILLES TENDON OF AUSTRALIAN FOOTBALL PLAYERS USING ULTRASOUND TISSUE CHARACTERISATION." British Journal of Sports Medicine 47, no. 9 (May 10, 2013): e2.24-e2. http://dx.doi.org/10.1136/bjsports-2013-092459.30.

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16

Griffith, James F., Stefanie W. Y. Yip, Esther H. Y. Hung, Raymond C. W. Fong, Jason Leung, Alex W. H. Ng, Cina S. L. Tong, and Ryan K. L. Lee. "Accuracy of ultrasound in the characterisation of deep soft tissue masses: a prospective study." European Radiology 30, no. 11 (June 26, 2020): 5894–903. http://dx.doi.org/10.1007/s00330-020-07002-5.

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17

Kuang, Y., A. Hilgers, M. Sadiq, S. Cochran, G. Corner, and Z. Huang. "Modelling and characterisation of a ultrasound-actuated needle for improved visibility in ultrasound-guided regional anaesthesia and tissue biopsy." Ultrasonics 69 (July 2016): 38–46. http://dx.doi.org/10.1016/j.ultras.2016.02.018.

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18

Docking, S., S. Rosengarten, J. Daffy, H. Van Schie, and J. Cook. "The role of ultrasound tissue characterisation in the management and prevention of tendinopathy in athletes." Journal of Science and Medicine in Sport 16 (December 2013): e85-e86. http://dx.doi.org/10.1016/j.jsams.2013.10.206.

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19

Podgajski, M., M. Podobnik, S. Ciglar, and B. Gebauer. "Ultrasonic fetal and placental tissue characterisation and the role of doppler ultrasound in lung maturity." International Journal of Gynecology & Obstetrics 70 (2000): D151. http://dx.doi.org/10.1016/s0020-7292(00)84706-2.

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20

Tuohinen, Suvi Sirkku, Tanja Skyttä, Vesa Virtanen, Marko Virtanen, Tiina Luukkaala, Pirkko-Liisa Kellokumpu-Lehtinen, and Pekka Raatikainen. "Detection of radiotherapy-induced myocardial changes by ultrasound tissue characterisation in patients with breast cancer." International Journal of Cardiovascular Imaging 32, no. 5 (January 12, 2016): 767–76. http://dx.doi.org/10.1007/s10554-016-0837-9.

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21

Podobnik, M., P. Podobnik, B. Gebauer, and S. Ciglar. "P07.19: Ultrasonic fetal and placental tissue characterisation and role of Doppler ultrasound in lung maturity." Ultrasound in Obstetrics and Gynecology 24, no. 3 (August 2004): 312. http://dx.doi.org/10.1002/uog.1466.

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22

Walker, P. M., C. Balmer, S. Ablett, and R. A. Lerski. "A test material for tissue characterisation and system calibration in MRI." Physics in Medicine and Biology 34, no. 1 (January 1, 1989): 5–22. http://dx.doi.org/10.1088/0031-9155/34/1/002.

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23

Ageeli, Wael, Xinyu Zhang, Chidozie N. Ogbonnaya, Yuting Ling, Jennifer Wilson, Chunhui Li, and Ghulam Nabi. "Characterisation of Collagen Re-Modelling in Localised Prostate Cancer Using Second-Generation Harmonic Imaging and Transrectal Ultrasound Shear Wave Elastography." Cancers 13, no. 21 (November 5, 2021): 5553. http://dx.doi.org/10.3390/cancers13215553.

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Prostate cancer has a poor prognosis and high mortality rate due to metastases. Extracellular matrix (ECM) re-modelling and stroma composition have been linked to cancer progression, including key components of cell migration, tumour metastasis, and tissue modulus. Moreover, collagens are one of the most significant components of the extracellular matrix and have been ascribed to many aspects of neoplastic transformation. This study characterises collagen re-modelling around localised prostate cancer using the second harmonic generation of collagen (SHG), genotyping and ultrasound shear wave elastography (USWE) measured modulus in men with clinically localised prostate cancer. Tempo-sequence assay for gene expression of COL1A1 and COL3A1 was used to confirm the expression of collagen. Second-harmonic generation imaging and genotyping of ECM around prostate cancer showed changes in content, orientation, and type of collagen according to Gleason grades (cancer aggressivity), and this correlated with the tissue modulus measured by USWE in kilopascals. Furthermore, there were clear differences between collagen orientation and type around normal and cancer tissues.

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24

Pollock, Noel, Jarrod Antflick, Toby Smith, and Robin Chakraverty. "81 Ultrasound Tissue Characterisation (utc) Assessment Of The Achilles Tendon In Elite Track And Field Athletes." British Journal of Sports Medicine 48, Suppl 2 (September 2014): A53—A54. http://dx.doi.org/10.1136/bjsports-2014-094114.80.

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25

Podobnik, M. P., H. Boko, M. Podgajski, P. Podobnik, and B. Gebauer. "P096: Ultrasonic fetal and placental tissue characterisation and the role of Doppler ultrasound in lung maturity." Ultrasound in Obstetrics and Gynecology 22, S1 (2003): 96–97. http://dx.doi.org/10.1002/uog.558.

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26

Pandya, Madhavi, and Abhilasha Jain. "Characterisation of breast lesions: comparison of digital breast tomosynthesis and ultrasonography." International Journal of Research in Medical Sciences 9, no. 7 (June 25, 2021): 1989. http://dx.doi.org/10.18203/2320-6012.ijrms20212521.

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Background: The main aim of the study was to characterize breast lesions using digital breast tomosynthesis and ultrasound and compare the detection and characterization of lesions between both the modalities.Methods: This was a cross-sectional, observational study that included 150 women who were screened with mammography followed by digital breast tomosynthesis and ultrasound for breast cancer. Patients approaching willingly for screening as per the inclusion criteria underwent mammography and digital breast tomosynthesis followed by ultrasonography. In lesion showing characteristics of malignancy biopsy correlation was done.Results: About half of the patients had type C tissue composition of the breast (50.67%). Most patients were of age between 35 to 44 years (46%). Malignant lesions were similarly detected by both the modalities. Almost all benign cases were also similarly diagnosed. Sensitivity and specificity of ultrasonography was 94.85% and 92%. Sensitivity and specificity for tomosynthesis was 91.86% and 88.24%. Combined testing showed 100% sensitivity, 97.8% specificity, 98.36% positive predictive value and 100% negative predictive value.Conclusions: Combining use of tomosynthesis and ultrasonography can make it possible to detect any small lesion, malignancy in its earliest stage (in situ) as well as few premalignant conditions like atypical ductal hyperplasia, as in few conditions there is possible sonography negative and mammogram positive calcifications are found.

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27

Quartuccio, M., C. Mangano, F. Macri, M. Rizzo, S. Di Pietro, M. Pugliese, G. Mazzullo, S. Cristarella, and M. De Majo. "Contrast-enhanced ultrasound evaluation of testicular interstitial cell tumours in conscious non-sedated dogs." Veterinární Medicína 63, No. 3 (March 28, 2018): 125–30. http://dx.doi.org/10.17221/101/2017-vetmed.

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Testicular tumours are the most common neoplasms of the genital system in male dogs. The three main types reported in dogs are interstitial cell tumour, seminoma and Sertoli cell tumour. Interstitial cell tumour is related to the presence of single or multiple nodules inside the testicular parenchyma, and it is detected by palpation or is often an incidental finding during ultrasonography examination. Contrast-enhanced ultrasound allows characterisation of the perfusion of the testicular lesion and reveals the micro-vascularisation; however, perfusion parameters may be strongly influenced by sedative drug administration, so our aim was to evaluate qualitative and quantitative perfusion of a single type of tumour (interstitial cell tumour) with contrast-enhanced ultrasound in conscious dogs to exclude any influence of pharmacological agents on vascular flow. Thirty dogs with focal testicular lesions found by palpation and/or by ultrasound (B-mode and Doppler) examination were selected; contrast-enhanced ultrasound was performed only in subjects that presented testicular focal lesions. After orchiectomy, testes were submitted to histological evaluation; 2-minute clips recorded during contrast-enhanced ultrasound were analysed only in the case of dogs with interstitial cell tumours (n = 12). Contrast medium showed wash-in at around 25–30 seconds, at the same time as the surrounding tissue: lesions were hyperenhancing, homogeneous or inhomogeneous with rim enhancement and contained prominent inner vessels; however, enhancement of small regions was absent. Quantitative analysis demonstrated significantly higher PI% (P = 0.005), regional blood volume (P = 0.02) and regional blood flow (P = 0.007) values in lesions than in surrounding tissue; no differences were found for time-to-peak and mean transit time. In conclusion, the contrast-enhanced ultrasound pattern observed in conscious non-sedated dogs with interstitial cell tumour was similar to the pattern described in a previous study in dogs after intramuscular administration of medetomidine (10 µg/kg) and butorphanol (0.2 mg/kg).

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28

Biberidis, N., A. Totorica, M. Pereyra, J. George, and H. Batatia. "A Novel Tissue Characterisation Method Using Non-Parametric Compound Probability Distributions." Ultrasound in Medicine & Biology 37, no. 8 (August 2011): S154—S155. http://dx.doi.org/10.1016/j.ultrasmedbio.2011.05.767.

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29

Han, Seung, Joseph Puma, Hector Garcia-Garcia, Kenya Nasu, Pauliina Margolis, Martin Leon, and Amir Lerman. "Tissue characterisation of atherosclerotic plaque in coronary artery bifurcations: an intravascular ultrasound radiofrequency data analysis in humans." EuroIntervention 6, no. 3 (August 2010): 313–20. http://dx.doi.org/10.4244/eijv6i3a53.

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30

Mercado, Nestor, Tabitha Moe, Michael Pieper, John House, William Dolla, Lindsey Seifert, Joshua Stolker, Jason Lindsey, Kevin Kennedy, and Steven Marso. "Tissue characterisation of atherosclerotic plaque in the left main: an in vivo intravascular ultrasound radiofrequency data analysis." EuroIntervention 7, no. 3 (July 2011): 347–52. http://dx.doi.org/10.4244/eijv7i3a59.

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31

Schöne, M., N. Männicke, JS Somerson, B. Marquaß, R. Henkelmann, T. Aigner, K. Raum, and RM Schulz. "3D ultrasound biomicroscopy for assessment of cartilage repair tissue: volumetric characterisation and correlation to established classification systems." European Cells and Materials 31 (February 8, 2016): 119–35. http://dx.doi.org/10.22203/ecm.v031a09.

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32

Plevin, S., J. McLellan, H. Schie, and T. Parkin. "Ultrasound tissue characterisation of the superficial digital flexor tendons in juvenile Thoroughbred racehorses during early race training." Equine Veterinary Journal 51, no. 3 (September 18, 2018): 349–55. http://dx.doi.org/10.1111/evj.13006.

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33

de Jonge, Suzan, Robert Rozenberg, Bruno Vieyra, Henk J. Stam, Henk-Jan Aanstoot, Harrie Weinans, Hans T. M. van Schie, and Stephan F. E. Praet. "Achilles tendons in people with type 2 diabetes show mildly compromised structure: an ultrasound tissue characterisation study." British Journal of Sports Medicine 49, no. 15 (January 13, 2015): 995–99. http://dx.doi.org/10.1136/bjsports-2014-093696.

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34

Edwards, Hazel, Leon Poltawski, and Amy Todd. "Sonographic Characterisation of Tissue Changes Associated with Infused Apomorphine Hydrochloride: A Case Series." Ultrasound 16, no. 3 (August 2008): 155–59. http://dx.doi.org/10.1179/174313408x320914.

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35

Rosen, D. J., D. Nir, and M. Holzinger. "Non-invasive tissue characterisation using a new technique—HistoScanning: a preliminary report." Ultrasound in Medicine & Biology 29, no. 5 (May 2003): S33. http://dx.doi.org/10.1016/s0301-5629(03)00180-7.

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36

Tartari, A., and E. Casnati. "Tissue and phantom materials characterisation by scattering for in vivo XRF and mineralometric techniques." Physics in Medicine and Biology 34, no. 5 (May 1, 1989): 617–23. http://dx.doi.org/10.1088/0031-9155/34/5/006.

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37

Groenland, Frederik T. W., Karim D. Mahmoud, Tara Neleman, Annemieke C. Ziedses des Plantes, Alessandra Scoccia, Jurgen Ligthart, Karen T. Witberg, et al. "Tissue characterisation and primary percutaneous coronary intervention guidance using intravascular ultrasound: rationale and design of the SPECTRUM study." Open Heart 9, no. 1 (April 2022): e001955. http://dx.doi.org/10.1136/openhrt-2021-001955.

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IntroductionIntravascular ultrasound (IVUS) improves clinical outcome in patients undergoing percutaneous coronary intervention (PCI) but dedicated prospective studies assessing the safety and efficacy of IVUS guidance during primary PCI are lacking.Methods and analysisThe SPECTRUM study is a prospective investigator-initiated single-centre single-arm observational cohort study aiming to enrol 200 patients presenting with ST-segment elevation myocardial infarct undergoing IVUS-guided primary PCI. IVUS will be performed at baseline, postintervention and postoptimisation (if applicable), using a 40–60 MHz high-definition (HD) system. Baseline tissue characterisation includes the morphological description of culprit lesion plaque characteristics and thrombus as assessed with HD-IVUS. The primary endpoint is target vessel failure at 12 months (defined as a composite of cardiac death, target vessel myocardial infarction and clinically driven target vessel revascularisation). The secondary outcome of interest is IVUS-guided optimisation, defined as IVUS-guided additional balloon dilatation or stent placement. Other endpoints include clinical and procedural outcomes along with post-PCI IVUS findings.Ethics and disseminationThe protocol of this study was approved by the Ethics Committee of the Erasmus University Medical Center, Rotterdam, the Netherlands. Written informed consent is obtained from all patients. Study findings will be submitted to international peer-reviewed journals in the field of cardiovascular imaging and interventions and will be presented at international scientific meetings.Trial registration numberNCT05007535.

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38

Goudriaan, Marije, Simon-Henri Schless, Marleen Van den Hauwe, Francesco Cenni, Guy Molenaers, Nathalie Goemans, and Kaat Desloovere. "Is ultrasound characterisation of tissue composition related to rate of force development in children with Duchenne Muscular Dystrophy?" Gait & Posture 57 (September 2017): 34–35. http://dx.doi.org/10.1016/j.gaitpost.2017.06.272.

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Rosengarten, Samuel D., Jill L. Cook, Adam L. Bryant, Justin T. Cordy, John Daffy, and Sean I. Docking. "Australian football players’ Achilles tendons respond to game loads within 2 days: an ultrasound tissue characterisation (UTC) study." British Journal of Sports Medicine 49, no. 3 (April 15, 2014): 183–87. http://dx.doi.org/10.1136/bjsports-2013-092713.

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40

Podobnik, M., P. Podobnik, M. Podgajski, and I. Brlecic. "OP10.05: Ultrasonic fetal and placental tissue characterisation and the role of 3D and Doppler ultrasound in lung maturity." Ultrasound in Obstetrics and Gynecology 28, no. 4 (August 31, 2006): 480. http://dx.doi.org/10.1002/uog.3275.

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41

Podobnik, M., B. Gebauer, J. Zmijanac, P. Podobnik, S. Stasenko, and I. Brlecic. "OP24.10: Ultrasonic fetal and placental tissue characterisation and the role of 3D and Doppler ultrasound in lung maturity." Ultrasound in Obstetrics and Gynecology 30, no. 4 (September 21, 2007): 541. http://dx.doi.org/10.1002/uog.4672.

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42

Loizou, Christos P., Charoula Theofanous, Marios Pantziaris, Takis Kasparis, Paul Christodoulides, Andrew N. Nicolaides, and Constantinos S. Pattichis. "Despeckle Filtering Toolbox for Medical Ultrasound Video." International Journal of Monitoring and Surveillance Technologies Research 1, no. 4 (October 2013): 61–79. http://dx.doi.org/10.4018/ijmstr.2013100106.

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Ultrasound medical video has the potential in differentiating between normal and abnormal tissue and structure. Ultrasound imaging is used in border identification and texture characterisation of the atherosclerotic carotid plaque in the common carotid artery (CCA), the identification and measurement of the intima-media thickness (IMT) and the lumen diameter that are very important in the assessment of cardiovascular disease. However, visual perception is reduced by speckle noise affecting the quality of ultrasound B-mode imaging. Noise reduction is therefore essential for increasing the visual quality or as a pre-processing step for further automated analysis, such as the video segmentation of the IMT and the atherosclerotic carotid plaque in ultrasound video sequences. In order to facilitate this analysis, the authors have developed a video analysis software toolbox based on MATLAB® that uses video despeckling, texture analysis and image quality evaluation techniques to automate the pre-processing and complement the disease evaluation in ultrasound CCA videos. The proposed software, which is based on a graphical user interface (GUI), incorporates video normalisation, 4 different despeckle filtering techniques (DsFlsmv, DsFhmedian, DsFkuwahara and DsFsrad), 65 texture features, 11 quantitative video quality metrics and objective video quality evaluation. The software was validated on 10 ultrasound videos of the CCA, by comparing its results with quantitative visual analysis performed by two medical experts. It was shown that the filters DsFlsmv, and DsFhmedian improved video quality perception (based on the expert’s assessment and the video quality metrics). It is anticipated that the system could help the physician in the assessment of cardiovascular video analysis. However, exhaustive evaluation of the despeckle filtering toolbox has to be carried out by more experts on more videos.

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Anbarasan, Thineskrishna, Cheng Wei, Jeffrey C. Bamber, Richard G. Barr, and Ghulam Nabi. "Characterisation of Prostate Lesions Using Transrectal Shear Wave Elastography (SWE) Ultrasound Imaging: A Systematic Review." Cancers 13, no. 1 (January 2, 2021): 122. http://dx.doi.org/10.3390/cancers13010122.

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Background: ultrasound-based shear wave elastography (SWE) can non-invasively assess prostate tissue stiffness. This systematic review aims to evaluate SWE for the detection of prostate cancer (PCa) and compare diagnostic estimates between studies reporting the detection of all PCa and clinically significant PCa (csPCa). Methods: a literature search was performed using the MEDLINE, EMBASE, Cochrane Library, ClinicalTrials.gov, and CINAHL databases. Studies evaluating SWE for the detection of PCa using histopathology as reference standard were included. Results: 16 studies including 2277 patients were included for review. Nine studies evaluated SWE for the detection of PCa using systematic biopsy as a reference standard at the per-sample level, with a pooled sensitivity and specificity of 0.85 (95% CI = 0.74–0.92) and 0.85 (95% CI = 0.75–0.91), respectively. Five studies evaluated SWE for the detection of PCa using histopathology of radical prostatectomy (RP) specimens as the reference standard, with a pooled sensitivity and specificity of 0.71 (95% CI = 0.55–0.83) and 0.74 (95% CI = 0.42–0.92), respectively. Sub-group analysis revealed a higher pooled sensitivity (0.77 vs. 0.62) and specificity (0.84 vs. 0.53) for detection of csPCa compared to all PCa among studies using RP specimens as the reference standard. Conclusion: SWE is an attractive imaging modality for the detection of PCa.

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Prati, F., E. Arbustini, A. Labellarte, B. Dal Bello, L. Sommariva, M. T. Mallus, A. Pagano, and A. Boccanelli. "Correlation between high frequency intravascular ultrasound and histomorphology in human coronary arteries." Heart 85, no. 5 (May 1, 2001): 567–70. http://dx.doi.org/10.1136/hrt.85.5.567.

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OBJECTIVETo test the efficacy of high frequency intravascular ultrasound (IVUS) transducers in identifying lipid/necrotic pools in atherosclerotic plaques.METHODS40 MHz transducers were used for in vitro IVUS assessment of 12 arterial segments (10 coronary and two carotid arteries, dissected from five different necropsy cases). IVUS acquisition was performed at 0.5 mm/s after ligature of the branching points to generate a closed system. Lipid/necrotic areas were defined by IVUS as large echolucent intraplaque areas surrounded by tissue with higher echodensity. To obtain histopathological sections corresponding to IVUS cross sections, vessels were divided into consecutive 3 mm long segments using the most distal recorded IVUS image as the starting reference. Samples were then fixed with 10% buffered formalin, processed for histopathological study, serially cut, and stained using the Movat pentacrome method.RESULTS122 sections were analysed. Lipid pools were observed by histology in 30 sections (25%). IVUS revealed the presence of lipid pools in 19 of these sections (16%; sensitivity 65%, specificity 95%).CONCLUSIONSIn vitro assessment of lipid/necrotic pools with high frequency transducers was achieved with good accuracy. This opens new perspectives for future IVUS characterisation of atherosclerotic plaques.

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Zhao, Tianrui, Mengjiao Zhang, Sebastien Ourselin, and Wenfeng Xia. "Wavefront Shaping-Assisted Forward-Viewing Photoacoustic Endomicroscopy Based on a Transparent Ultrasound Sensor." Applied Sciences 12, no. 24 (December 9, 2022): 12619. http://dx.doi.org/10.3390/app122412619.

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Photoacoustic endoscopy (PAE) can provide 3D functional, molecular and structural information of tissue deep inside the human body, and thus could be well suited for guiding minimally invasive procedures such as tumour biopsy and fetal surgery. One of the major challenges in the development of miniature PAE probes, in particular, forward-viewing PAE probes, is the integration of a sensitive and broadband ultrasound sensor with the light delivery and scanning system into a small footprint. In this work, we developed a forward-viewing PAE probe enabling optical-resolution microscopy imaging based on a transparent ultrasound sensor coated on the distal end of a multimode optical fibre. The transparent sensor comprised a transparent polyvinylidene fluoride (PVDF) thin film coated with indium tin oxide (ITO) electrodes with a diameter of 2 mm. Excitation laser light was focused and raster-scanned across the facet of the probe tip through the multimode fibre and the PVDF-ITO thin film via wavefront shaping. The sensor had an optical transmission rate of 55–72% in the wavelength range of 400 to 800 nm, a centre frequency of 17.5 MHz and a −10 dB bandwidth of 25 MHz. Singular value decomposition was used to remove a prominent trigger-induced noise, which enabled imaging close to the probe tip with an optically defined lateral resolution of 2 µm. The performance of the imaging probe was demonstrated by obtaining high-fidelity photoacoustic microscopy images of carbon fibres. With further optimisation of the sensitivity, the probe promises to guide minimally invasive procedures by providing in situ, in vivo characterisation of tissue.

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Kjær, L., P. Ring, C. Thomsen, and O. Henriksen. "Texture Analysis in Quantitative MR Imaging." Acta Radiologica 36, no. 2 (March 1995): 127–35. http://dx.doi.org/10.1177/028418519503600204.

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The diagnostic potential of texture analysis in quantitative tissue characterisation by MR imaging at 1.5 T was evaluated in the brain of 6 healthy volunteers and in 88 patients with intracranial tumours. Texture images were computed from calculated T1 and T2 parameter images by applying groups of common first-order and second-order grey level statistics. Tissue differentiation in the images was estimated by the presence or absence of significant differences between tissue types. A fine discrimination was obtained between white matter, cortical grey matter, and cerebrospinal fluid in the normal brain, and white matter was readily separated from the tumour lesions. Moreover, separation of solid tumour tissue and peritumoural oedema was suggested for some tumour types. Mutual comparison of all tumour types revealed extensive differences, and even specific tumour differentiation turned out to be successful in some cases of clinical importance. However, no discrimination between benign and malignant tumour growth was possible. Much texture information seems to be contained in MR images, which may prove useful for classification and image segmentation.

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Masci, Lorenzo, Christoph Spang, Hans T. M. van Schie, and Håkan Alfredson. "Achilles tendinopathy—do plantaris tendon removal and Achilles tendon scraping improve tendon structure? A prospective study using ultrasound tissue characterisation." BMJ Open Sport & Exercise Medicine 1, no. 1 (May 2015): e000005. http://dx.doi.org/10.1136/bmjsem-2015-000005.

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Becker, Anne, Max Masthoff, Jing Claussen, Steven James Ford, Wolfgang Roll, Matthias Burg, Peter J. Barth, et al. "Multispectral optoacoustic tomography of the human breast: characterisation of healthy tissue and malignant lesions using a hybrid ultrasound-optoacoustic approach." European Radiology 28, no. 2 (August 7, 2017): 602–9. http://dx.doi.org/10.1007/s00330-017-5002-x.

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Govindaraju, Senthil K., Hashim Uddin Ahmed, Karien Tuernicht, Michael Jarmulowicz, Phillipe Autier, and Mark Emberton. "ULTRASOUND BASED TISSUE CHARACTERISATION (HISTOSCANNING) IMAGING FOR PROSTATE CANCER: INTERIM RESULTS FROM THE EXPLORATORY PHASE OF A PROSPECTIVE MULTI-CENTRE TRIAL." Journal of Urology 181, no. 4 (April 2009): 707. http://dx.doi.org/10.1016/s0022-5347(09)61976-5.

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Docking, S. I., J. Daffy, H. T. M. van Schie, and J. L. Cook. "Tendon structure changes after maximal exercise in the Thoroughbred horse: Use of ultrasound tissue characterisation to detect in vivo tendon response." Veterinary Journal 194, no. 3 (December 2012): 338–42. http://dx.doi.org/10.1016/j.tvjl.2012.04.024.

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