3D Breast Ultrasound Enhances Diagnostic Certainty
|
By MedImaging International staff writers Posted on 28 Dec 2020 |

Image: The MACH 40 features the SonicPad touchpad, designed to reduce examination time and operator fatigue and injury (Photo courtesy of Hologic)
A new software-based application helps clinicians visualize breast anatomy volumetrically and provides detailed characterization of lesions.
The application, designed for the Hologic (Bedford, MA, USA) SuperSonic MACH 40 system, allows clinicians to access high-resolution B-mode and ShearWave PLUS elastography volumetric data and examine areas of interest. Breast tissue can be visualized in any perspective plane of the 3D volume, including coronal or C-plane. MultiSlice display allows the 3D volumes to be viewed slice-by-slice, while MultiPlanar display virtually reconstructs the slices in any orientation, using the acquired and stored volume.
UltraFast image capturing technology of up to 20,000 frames per second ensures smooth images with reduced speckle, improved lesion conspicuity, and no resolution loss, regardless of lesion location within the breast, including in patients with dense breast tissue. And by pairing the 3D imaging with ShearWave PLUS elastography, more accurate tumor size estimation and clear margin definition are available in pre-operative settings, as well as monitoring and evaluating of the breast cancer patients during and after neoadjuvant chemotherapy.
“At Hologic, we relentlessly strive to advance the early detection of breast cancer. With each innovation across the breast care continuum, we’re moving toward greater certainty for our customers,” said Jennifer Meade, president of breast and skeletal health solutions at Hologic. “The addition of 3D breast ultrasound imaging to the SuperSonic MACH 40 system is yet another example of the steps we’re taking to transform the daily experience of breast radiologists and sonographers with solutions designed to increase efficiency and accuracy, while also helping to improve diagnostic confidence.”
Shearwave elastography relies on generation of shear waves via displacement of tissues, as induced by a focused ultrasound beam or by external pressure. The resulting shear waves are lateral, with a slow motion perpendicular to the direction of the generating force, and are rapidly attenuated by tissue. The propagation velocity of the shear waves correlates with the elasticity of tissue.
The application, designed for the Hologic (Bedford, MA, USA) SuperSonic MACH 40 system, allows clinicians to access high-resolution B-mode and ShearWave PLUS elastography volumetric data and examine areas of interest. Breast tissue can be visualized in any perspective plane of the 3D volume, including coronal or C-plane. MultiSlice display allows the 3D volumes to be viewed slice-by-slice, while MultiPlanar display virtually reconstructs the slices in any orientation, using the acquired and stored volume.
UltraFast image capturing technology of up to 20,000 frames per second ensures smooth images with reduced speckle, improved lesion conspicuity, and no resolution loss, regardless of lesion location within the breast, including in patients with dense breast tissue. And by pairing the 3D imaging with ShearWave PLUS elastography, more accurate tumor size estimation and clear margin definition are available in pre-operative settings, as well as monitoring and evaluating of the breast cancer patients during and after neoadjuvant chemotherapy.
“At Hologic, we relentlessly strive to advance the early detection of breast cancer. With each innovation across the breast care continuum, we’re moving toward greater certainty for our customers,” said Jennifer Meade, president of breast and skeletal health solutions at Hologic. “The addition of 3D breast ultrasound imaging to the SuperSonic MACH 40 system is yet another example of the steps we’re taking to transform the daily experience of breast radiologists and sonographers with solutions designed to increase efficiency and accuracy, while also helping to improve diagnostic confidence.”
Shearwave elastography relies on generation of shear waves via displacement of tissues, as induced by a focused ultrasound beam or by external pressure. The resulting shear waves are lateral, with a slow motion perpendicular to the direction of the generating force, and are rapidly attenuated by tissue. The propagation velocity of the shear waves correlates with the elasticity of tissue.
Latest Ultrasound News
- Hybrid Imaging Platform Reveals How Sleep Supports Brain Waste Removal
- AI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
- Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
- New Ultrasound AI Tool Supports Rapid Prenatal Assessment
- New Consensus Standardizes Ultrasound-Based Fatty Liver Assessment
- Groundbreaking Technology to Enhance Precision in Emergency and Critical Care
- Reusable Gel Pad Made from Tamarind Seed Could Transform Ultrasound Examinations
- AI Model Accurately Detects Placenta Accreta in Pregnancy Before Delivery
- Portable Ultrasound Sensor to Enable Earlier Breast Cancer Detection
- Portable Imaging Scanner to Diagnose Lymphatic Disease in Real Time
- Imaging Technique Generates Simultaneous 3D Color Images of Soft-Tissue Structure and Vasculature
- Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
- Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
- Ultrasound Probe Images Entire Organ in 4D

- Disposable Ultrasound Patch Performs Better Than Existing Devices
- Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
Channels
Radiography
view channel
AI Tool Predicts Five-Year Breast Cancer Risk from Mammograms
Breast cancer risk assessment during routine screening is difficult because many women who develop the disease have no known genetic mutations or family history. Static risk tools provide limited discrimination... Read more
AI Mammography Tools Detect Early Breast Cancer Signs Years Before Diagnosis
Breast cancer screening aims to detect tumors before symptoms develop, but subtle mammographic changes can appear years before diagnosis and may be missed during routine reads. Delayed detection can lead... Read moreMRI
view channel
International Study Assesses AI for Prostate Cancer MRI Interpretation
Prostate cancer is a leading cause of cancer morbidity in men, and accurate early diagnosis hinges on expert interpretation of prostate magnetic resonance imaging (MRI). Rapid adoption of MRI-first pathways... Read more
AI Approach Could Shorten Advanced Brain MRI Scans by Up to 90%
Long acquisition times for advanced brain magnetic resonance imaging (MRI) can limit access, extend waiting lists, and disrupt clinical workflows. Reducing data requirements without sacrificing image fidelity... Read moreNuclear Medicine
view channelNew PET Tracer Detects DVT and Pulmonary Embolism in One Scan
Deep vein thrombosis is the formation of clots in deep leg veins that can migrate to the lungs as pulmonary embolism. Rapid confirmation across both regions often requires multiple tests and can delay treatment.... Read more
Targeted PET Platform Guides Osteosarcoma Resection and Margin Verification
Osteosarcoma, an aggressive primary bone cancer that mainly affects children and adolescents, demands wide excision to prevent local recurrence. Surgeons must achieve negative margins while preserving... Read moreGeneral/Advanced Imaging
view channel
Virtual Staining Technique Creates Histology Images from CT Data
Pulmonary hypertension, a disorder marked by pathological remodeling of the pulmonary vessels, often requires detailed histologic assessment. Yet routine pathology remains anchored in labor‑intensive,... Read more
CT-Derived Biomarker Predicts Outcomes in Gastric Cancer
Gastric cancer, also known as stomach cancer, is the fifth most common malignancy worldwide and often shows heterogeneous outcomes even within the same stage. Prognostic estimates typically rely on tumor-centric... Read more
AI Tool Enhances Response Assessment and Survival Prediction in Pleural Mesothelioma
Pleural mesothelioma, a cancer that grows as a thin, irregular layer along the lung wall, is difficult to measure on imaging. Clinicians rely on diameter-based Response Evaluation Criteria in Solid Tumors... Read moreImaging IT
view channel
Ambient AI Reporting Platform Streamlines Radiology Reporting
Radiology departments face growing imaging volumes and staffing shortages, creating reporting bottlenecks and pressure to maintain turnaround times. Conventional dictation tools document findings after... Read more
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read moreIndustry News
view channel
GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026
Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







