Singing Supports Ultrasound Screening for Thyroid Cancer
By MedImaging International staff writers Posted on 28 Jan 2021 |

Image: A volunteer sings while holding a linear ultrasound probe to measure VP-E (Photo courtesy of Steve Beuve/ Tours University)
A new study suggests that a shear wave acoustic field generated naturally by the human voice can be used to measure the elasticity of thyroid tissue.
Developed by researchers at Université de Tours (France), Centre Hospitalier Universitaire de Dijon-Bourgogne (France), and Université Bourgogne Franche-Comté (France), vocal passive elastography (V-PE) is designed to measure tissue elasticity from physiological noise generated by body vibrations. In the thyroid, this is mainly due to carotid pulsation, which is in the 1–10 Hz bandwidth and is located right next to the gland. To decrease shear wavelength and increase signal to noise ratio (SNR), a complex shear wave field can be created by using vocal tract vibrations.
The nature of the sound can be modified by changing pitch. Thus, singing and maintain an “eeee” note (approximately the frequency of D3, or 150 hertz), shear wave is generated that can be used to identify abnormally stiff thyroid gland areas that can be indicative of cancer. A correlation-based algorithm then computes a shear wave velocity map that is then super-positioned onto a B-mode ultrasound image of the thyroid, with a pixel resolution of 150 × 150 μm2. The values obtained are in good agreement with comparative shear wave elastography (SWE) ultrasound measurements. The study was published on January 12, 2021, in Applied Physics Letters.
“The singing vibrates the patient's trachea, which in turn produces vibrations throughout the thyroid, allowing the clinician to use an ultrafast frame rate to track changes in shear-wave velocity, giving us information about mechanical properties of soft tissues,” said lead author Steve Beuve, PhD, of the Université de Tours. “Developing noninvasive methods would reduce the stress of patients during their medical exams. Having to sing during a medical exam can perhaps help release some of the nervous tension even more.”
Thyroid nodular disease is one of the most widespread endocrine disorders, but although fine needle aspiration guided with ultrasound examination is commonly used to detect malignant tumors, only 5% of thyroid cancers are detectable with this technique. As a result elastography has been proposed to detect cancerous nodules, with a nodule whose Young's modulus exceeds 65 kPa usually considered suspicious. But one of the problems with such an approach is that the thyroid SNR is drowned out by natural background noise from nearby organs.
Related Links:
Université de Tours
Centre Hospitalier Universitaire de Dijon-Bourgogne
Université Bourgogne Franche-Comté
Developed by researchers at Université de Tours (France), Centre Hospitalier Universitaire de Dijon-Bourgogne (France), and Université Bourgogne Franche-Comté (France), vocal passive elastography (V-PE) is designed to measure tissue elasticity from physiological noise generated by body vibrations. In the thyroid, this is mainly due to carotid pulsation, which is in the 1–10 Hz bandwidth and is located right next to the gland. To decrease shear wavelength and increase signal to noise ratio (SNR), a complex shear wave field can be created by using vocal tract vibrations.
The nature of the sound can be modified by changing pitch. Thus, singing and maintain an “eeee” note (approximately the frequency of D3, or 150 hertz), shear wave is generated that can be used to identify abnormally stiff thyroid gland areas that can be indicative of cancer. A correlation-based algorithm then computes a shear wave velocity map that is then super-positioned onto a B-mode ultrasound image of the thyroid, with a pixel resolution of 150 × 150 μm2. The values obtained are in good agreement with comparative shear wave elastography (SWE) ultrasound measurements. The study was published on January 12, 2021, in Applied Physics Letters.
“The singing vibrates the patient's trachea, which in turn produces vibrations throughout the thyroid, allowing the clinician to use an ultrafast frame rate to track changes in shear-wave velocity, giving us information about mechanical properties of soft tissues,” said lead author Steve Beuve, PhD, of the Université de Tours. “Developing noninvasive methods would reduce the stress of patients during their medical exams. Having to sing during a medical exam can perhaps help release some of the nervous tension even more.”
Thyroid nodular disease is one of the most widespread endocrine disorders, but although fine needle aspiration guided with ultrasound examination is commonly used to detect malignant tumors, only 5% of thyroid cancers are detectable with this technique. As a result elastography has been proposed to detect cancerous nodules, with a nodule whose Young's modulus exceeds 65 kPa usually considered suspicious. But one of the problems with such an approach is that the thyroid SNR is drowned out by natural background noise from nearby organs.
Related Links:
Université de Tours
Centre Hospitalier Universitaire de Dijon-Bourgogne
Université Bourgogne Franche-Comté
Latest Ultrasound News
- Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
- Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
- High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
- World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
- Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
- Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
- AI Improves Detection of Congenital Heart Defects on Routine Prenatal Ultrasounds
- AI Diagnoses Lung Diseases from Ultrasound Videos with 96.57% Accuracy
- New Contrast Agent for Ultrasound Imaging Ensures Affordable and Safer Medical Diagnostics
- Ultrasound-Directed Microbubbles Boost Immune Response Against Tumors
- POC Ultrasound Enhances Early Pregnancy Care and Cuts Emergency Visits
- AI-Based Models Outperform Human Experts at Identifying Ovarian Cancer in Ultrasound Images
- Automated Breast Ultrasound Provides Alternative to Mammography in Low-Resource Settings
- Transparent Ultrasound Transducer for Photoacoustic and Ultrasound Endoscopy to Improve Diagnostic Accuracy
- Wearable Ultrasound Patch Enables Continuous Blood Pressure Monitoring
- AI Image-Recognition Program Reads Echocardiograms Faster, Cuts Results Wait Time
Channels
Radiography
view channel
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read more
Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
Lung cancer continues to be the leading cause of cancer-related deaths worldwide. While advanced technologies like CT scanners play a crucial role in detecting lung cancer, more accessible and affordable... Read moreMRI
view channel
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read more
First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more