Article
Mathematics
Jorge Torres, Maria Munoz, Maria Del Carmen Porcel, Sofia Contreras, Francisca Sonia Molina, Guillermo Rus, Olga Ocon-Hernandez, Juan Melchor
Summary: The mechanical status of the cervix is crucial during pregnancy, and using elastography to assess it may have predictive potential for induction protocols. The study found that elastography values in the external os region show promise in predicting induction success.
Article
Medicine, General & Internal
Tatiana Costas, Maria de la O. Rodriguez, Mercedes Sanchez-Barba, Juan Luis Alcazar
Summary: This study found that higher shear wave elastography (SWE) measurements in the inner part of the posterior cervix were associated with a higher success rate of labor induction. Additionally, cervical length was also important in predicting the success of induction. Combining these two methods could replace the traditional Bishop Score.
Article
Medicine, General & Internal
Catherine Paverd, Sivert Kupfer, Iara Nascimento Kirchner, Sherin Nambiar, Alexander Martin, Naiara Korta Martiartu, Thomas Frauenfelder, Marga B. Rominger, Lisa Ruby
Summary: This study examines the effect of breathing phase, liver lobe, and prandial state on noninvasive liver assessment using ultrasound measurements. The results show that breathing and prandial state do not significantly affect SWS, SWD, and ATI values.
Article
Physics, Multidisciplinary
Bhaskara R. Chintada, Richard Rau, Orcun Goksel
Summary: Shear wave elasticity imaging (SWEI) is a non-invasive imaging technique used for providing tissue elasticity information, commonly applied in the diagnosis of liver disease and breast cancer. This study shows that variations in speed-of-sound can introduce bias in resulting shear-wave speed estimations, and using local speed-of-sound maps for beamforming can correct these biases.
FRONTIERS IN PHYSICS
(2021)
Article
Acoustics
Sandra O'Hara, Marilyn Zelesco, Zhonghua Sun
Summary: This study compared the use of shear wave elastography on the maternal cervix with transvaginal and transabdominal ultrasound approaches for assessing shear wave speeds. The results showed that TV approach obtained more SWS measurements at the anterior portion of the cervix, and produced significantly greater SWSs at the internal os compared to the TA approach.
JOURNAL OF ULTRASOUND IN MEDICINE
(2021)
Article
Health Care Sciences & Services
Chiara Germano, Ilenia Mappa, Antonella Cromi, Enrico Busato, Maddalena Incerti, Andrea Lojacono, Giuseppe Rizzo, Rossella Attini, Lodovico Patrizi, Alberto Revelli, Bianca Masturzo
Summary: This retrospective cohort study evaluated the use of a cervical ripening balloon (CRB) in women with a previous cesarean section and unfavorable Bishop score. The results showed that CRB induction of labor was safe and effective, with a vaginal birth rate of 57.3% and minimal side effects.
Article
Acoustics
Naiara Korta Martiartu, Sherin Nambiar, Iara Nascimento Kirchner, Catherine Paverd, Davide Cester, Thomas Frauenfelder, Lisa Ruby, Marga B. Romingertagedend
Summary: Operator-dependent acquisition parameters influenced SWD and SWS measurements, with acquisition depth being the main contributing factor to variance and lateral ROI position contributing significantly to SWD variance. Results emphasize the importance of considering depth- and lateral-dependent variability in future guidelines for multiparametric elastography.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Emma Harris, Ruchi Sinnatamby, Elizabeth O'Flynn, Anna M. Kirby, Jeffrey C. Bamber
Summary: This study compared two different shear-wave elastography machines and found relatively large differences in measurements in vivo, which may impact the pooling of data across machines in clinical studies of the breast.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Analytical
Dylan G. Schmitz, Darryl G. Thelen, Stephanie G. Cone
Summary: This study investigates the use of a Kalman filter and redundant accelerometers to improve the accuracy and robustness of shear wave tensiometry in measuring tendon wave speed. The results show that the Kalman filter significantly improves the accuracy of estimated wave speeds, and increasing the number of accelerometers and using redundant accelerometers further reduce wave speed errors and improve the robustness of wave speed measures.
Article
Obstetrics & Gynecology
Lindsay L. Warner, Katherine W. Arendt, Regan N. Theiler, Emily E. Sharpe
Summary: Induction of labor may be necessary to minimize risks for both mothers and fetuses, with recent evidence supporting elective induction at 39 weeks gestation. Anesthetic interventions and pain relief options for high-risk parturients are important considerations.
BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY
(2021)
Article
Acoustics
Anika Obrist, Lisa Ruby, Alexander Martin, Thomas Frauenfelder, Marga Rominger, Catherine Paverd
Summary: The objective of this study was to investigate the impact of confounding factors on liver shear wave speed (SWS) and shear wave dispersion slope (SWDS) measurements using a Canon Aplio clinical ultrasound scanner. It was found that depth had the most significant effect on both SWS and SWDS measurements. The angle, height, width, and ROI size had minimal impact on the measurements. For SWS measurements, the most consistent depth range was between 2 and 4 cm for the top of the acquisition box (AQB) and between 3 and 7 cm for the ROI. However, for SWDS measurements, there was no stable AQB placement or ROI depth due to a significant depth dependency.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Naiara Korta Martiartu, Dominik Nakhostin, Lisa Ruby, Thomas Frauenfelder, Marga B. Rominger, Sergio J. Sanabria
Summary: This study aimed to assess tissue elasticity of the gastrocnemius muscle using ultrasound, finding a weak negative correlation between SWS and SoS. While SWS showed stronger correlation with BF%, measurements were less reliable compared to SoS which provided novel metrics related to tissue nonlinearity.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Article
Acoustics
Jose Antonio Sainz, Laura Castro, Jose Maria Romo, Ainhoa Holgado, Ana Fernandez-Palacin, Jose Antonio Garcia-Mejido
Summary: The study aimed to evaluate the difference in stiffness between a healthy cervix and a cervix with a pre-invasive lesion, finding significant differences in speed and stiffness between the two groups. The speed and stiffness were also significantly different between high-grade and low-grade pre-invasive lesion groups.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2021)
Article
Immunology
Kazuo Ando, Julien J. Hedou, Dorien Feyaerts, Xiaoyuan Han, Edward A. Ganio, Eileen S. Tsai, Laura S. Peterson, Franck Verdonk, Amy S. Tsai, Ivana Mari, Ronald J. Wong, Martin S. Angst, Nima Aghaeepour, David K. Stevenson, Yair J. Blumenfeld, Pervez Sultan, Brendan Carvalho, Ina A. Stelzer, Brice Gaudilliere
Summary: This study investigated the maternal immune system dynamics from labor induction to the onset of active labor, successfully predicting the time after labor induction using a machine learning method. The study identified immune features such as STAT5 signaling in CD8(+) T cells and pro-inflammatory STAT3 signaling responses that were most informative for the model, providing important insights into predicting labor induction success and complications.
FRONTIERS IN IMMUNOLOGY
(2021)
Article
Obstetrics & Gynecology
Pauline Tollon, Pauline Blanc-Petitjean, Elodie Drumez, Louise Ghesquiere, Camille Le Ray, Charles Garabedian
Summary: Scores that include parity can predict successful labor induction more accurately in women with an unfavorable cervix.
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS
(2023)
Editorial Material
Dermatology
Adela R. Cardones, Russell P. Hall, Keith M. Sullivan, Joanna Hooten, Seung Yun Lee, Beiyu Liu, Cynthia L. Green, Nelson J. Chao, Krista Rowe Nichols, Lionel L. Banez, Ankoor Shah, Nicole Leung, Mark L. Palmeri
JOURNAL OF INVESTIGATIVE DERMATOLOGY
(2021)
Article
Acoustics
Mark L. Palmeri, Andy Milkowski, Richard Barr, Paul Carson, Mathieu Couade, Jun Chen, Shigao Chen, Manish Dhyani, Richard Ehman, Brian Garra, Albert Gee, Gilles Guenette, Zaegyoo Hah, Ted Lynch, Michael Macdonald, Ravi Managuli, Veronique Miette, Kathryn R. Nightingale, Nancy Obuchowski, Ned C. Rouze, D. Cody Morris, Shana Fielding, Yufeng Deng, Derek Chan, Kingshuk Choudhury, Siyun Yang, Anthony E. Samir, Vijay Shamdasani, Matthew Urban, Keith Wear, Hua Xie, Arinc Ozturk, Bo Qiang, Pengfei Song, Stephen McAleavey, Stephen Rosenzweig, Michael Wang, Yoko Okamura, Glen McLaughlin, Yuling Chen, David Napolitano, Lindsey Carlson, Todd Erpelding, Timothy J. Hall
Summary: The study found that shear wave speed measurements across different manufacturer systems are more consistent in elastic phantoms, with a mean difference bias of < +/- 10% in all cases. Magnetic resonance elastography best matches ultrasonic systems in both elastic and viscoelastic phantoms with a 140-Hz excitation, but has a significant negative bias when operating at 60 Hz. This research establishes a foundation for meaningful comparison of SWS measurements made with different platforms.
JOURNAL OF ULTRASOUND IN MEDICINE
(2021)
Article
Physics, Multidisciplinary
Abel Torres, Mark L. Palmeri, Helen Feltovich, Timothy J. Hall, Ivan M. Rosado-Mendez
Summary: This study identified two SWEI-based dispersion descriptors and demonstrated their potential as biomarkers for cervical remodeling during pregnancy. In a non-human primate study, descriptor S showed a significant decrease during pregnancy, with variations observed between different portions of the cervix and with maternal age. These findings highlight the importance of shear wave dispersion in tracking cervical changes during pregnancy and suggest potential applications for longitudinal human studies.
FRONTIERS IN PHYSICS
(2021)
Article
Acoustics
Derek Y. Chan, D. Cody Morris, Thomas J. Polascik, Mark L. Palmeri, Kathryn R. Nightingale
Summary: Ultrasound elasticity imaging in soft tissue with acoustic radiation force requires the estimation of displacements, typically on the order of several microns, from serially acquired raw data A-lines. In this work, a fully convolutional neural network was implemented for ultrasound displacement estimation, which showed comparable performance with conventional algorithms. The proposed training method provided robust network training with a computation time comparable to standard algorithms.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Article
Computer Science, Interdisciplinary Applications
Anna E. Knight, Courtney A. Trutna, Ned C. Rouze, Lisa D. Hobson-Webb, Annette Caenen, Felix Q. Jin, Mark L. Palmeri, Kathryn R. Nightingale
Summary: Using a 3D rotational shear wave elasticity imaging setup, this study developed and validated a methodology to measure the mechanical properties of muscle as an elastic, incompressible, transversely isotropic material. By measuring the shear vertical and shear horizontal wave speed, three independent parameters for full material characterization were obtained. The results showed that 3D shear wave elasticity imaging could accurately characterize muscle mechanical properties compared to 2D shear wave elasticity imaging.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Acoustics
Anna E. Knight, Felix Q. Jin, Courtney Trutna Paley, Ned C. Rouze, Spencer R. Moavenzadeh, Laura S. Pietrosimone, Mark L. Palmeri, Kathryn R. Nightingale
Summary: This study used ultrasonic rotational 3-D shear wave elasticity imaging (SWEI) to analyze shear wave modes in muscle and found that the elastic properties of the muscle, as well as factors such as fiber tilt angle and push geometry, influence the speed, amplitude, and rotational distribution of shear waves.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Proceedings Paper
Acoustics
Derek Y. Chan, Spencer R. Moavenzadeh, Thomas J. Polascik, Mark L. Palmeri, Kathryn R. Nightingale
Summary: The study introduces a 3D acoustic radiation force impulse imaging system that screens for prostate cancer and provides imaging guidance for a targeted biopsy in a single clinic visit.
2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS)
(2022)
Proceedings Paper
Acoustics
Courtney Trutna Paley, Anna E. Knight, Felix Q. Jin, Spencer Moavenzadeh, Ned C. Rouze, Laura S. Pietrosimone, Mark L. Palmeri, Kathryn R. Nightingale
Summary: This article investigates the potential of shear wave elasticity imaging (SWEI) derived material parameters as biomarkers for skeletal muscle health. The study found that the shear wave speed and amplitude along the muscle fibers changed with different knee flexion angles, supporting the need for positioning control in skeletal muscle SWEI. Additionally, the research discovered that the shear wave amplitude along the fibers increased with increasing flexion, contrary to the expected trend.
2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS)
(2022)
Proceedings Paper
Acoustics
Felix Q. Jin, Anna E. Knight, Courtney Trutna Paley, Laura S. Pietrosimone, Lisa D. Hobson-Webb, Kathryn R. Nightingale, Mark L. Palmeri
Summary: The Radon Transform (RT) is a commonly used method for estimating shear wave trajectory and speed in ultrasound shear wave elasticity imaging (SWEI). Researchers have also developed a deep neural network to automatically generate masks, reducing the need for manual mask drawing.
2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS)
(2022)
Proceedings Paper
Acoustics
Felix Q. Jin, Ned C. Rouze, Anna E. Knight, Kathryn R. Nightingale, Mark L. Palmeri
Summary: This study investigates the use of ultrasound shear wave elasticity imaging in studying incompressible, transversely isotropic (ITI) materials, such as skeletal muscle. By utilizing simulation and physics-informed neural networks (PINNs), the 3D wave equation for ITI materials is solved, providing solutions that match finite element method (FEM) simulations. PINNs enable rapid exploration of complex shear wave behavior in ITI materials.
2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS)
(2022)
Proceedings Paper
Acoustics
Courtney A. Trutna, Anna E. Knight, Felix Q. Jin, Ned C. Rouze, Laura S. Pietrosimone, Alison P. Toth, Lisa D. Hobson-Webb, Mark L. Palmeri, Kathryn R. Nightingale
Summary: By utilizing rotational volumetric shear wave elasticity imaging (SWEI) and group speed viscoelastic analysis, we characterized the viscoelastic properties of muscle tissue in different states. The study revealed differences in stiffness along and across the fibers, with stiffness increasing significantly along the fibers during contraction. However, there was no clear relationship observed between viscosity and contraction level.
INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021)
(2021)
Proceedings Paper
Acoustics
Felix Q. Jin, Lindsey C. Carlson, Timothy J. Hall, Helen Feltovich, Mark L. Palmeri
Summary: Deep learning approach is utilized to estimate shear wave speed (SWS) for clinical measurements during pregnancy, providing a well-calibrated and quantitative uncertainty metric.
INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021)
(2021)
Proceedings Paper
Acoustics
Felix Q. Jin, Courtney A. Trutna, Anna E. Knight, Lisa D. Hobson-Webb, Kathryn R. Nightingale, Mark L. Palmeri
Summary: The study proposes a Fourier-domain approach for calculating 3D muscle fiber orientation from 3D B-mode volumes acquired using two imaging setups and validate the algorithm on in silico and in vivo data. Results show that the new method provides accurate orientation estimates and can be a useful tool for ongoing muscle characterization studies.
INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021)
(2021)
Proceedings Paper
Acoustics
Anna E. Knight, Courtney A. Trutna, Felix Q. Jin, Ned C. Rouze, Laura S. Pietrosimone, Lisa D. Hobson-Webb, Alison P. Toth, Mark L. Palmeri, Kathryn R. Nightingale
Summary: Increasing knee flexion angle was found to increase certain mechanical properties of the vastus lateralis muscle, while the transverse shear modulus remained consistent. In a healthy volunteer, tensile anisotropy was found to be greater than shear anisotropy, indicating that these parameters are independent.
INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021)
(2021)
Proceedings Paper
Acoustics
Derek Y. Chan, D. Cody Morris, Theresa Lye, Thomas J. Polascik, Mark L. Palmeri, Jonathan Mamou, Kathryn R. Nightingale
Summary: This study introduces a deep neural network (DNN) to generate a multiparametric ultrasound (mpUS) volume of the prostate by combining different ultrasound imaging techniques. The DNN was trained using in vivo data to improve contrast-to-noise ratio and was shown to enhance lesion visibility in both phantom and in vivo datasets. These results suggest that deep learning could offer improved imaging guidance for prostate biopsies.
INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021)
(2021)