Optoacoustic Technology Enhances Breast Cancer Diagnostics
|
By MedImaging International staff writers Posted on 18 Feb 2021 |

Image: A novel breast imaging system fuses optoacoustics and ultrasound (Photo courtesy of Seno Medical)
An innovative breast cancer imaging system combines ultrasound (US) and optoacoustics (OA) to help differentiate between benign and malignant breast lesions.
The Seno Medical Instruments (Seno; San Antonio, TX, USA) Imagio OA/US system is indicated for use by trained and qualified healthcare providers to evaluate palpable and non-palpable breast abnormalities in adult patients who are referred for diagnostic imaging breast work-up, following clinical presentation or other imaging examinations such as screening mammography. Imagio uses laser optics and grayscale ultrasound to provide fused, functional, and anatomical breast imaging.
The OA images provide a unique blood map in and around breast masses, while US provides a traditional anatomical image. Through the appearance (or absence) of two hallmark cancer indicators, angiogenesis and deoxygenation, radiologists can confirm or rule out malignancy, without necessitating the use of ionizing radiation (x-rays) or contrast agents. In addition to imaging enhancement, Imagio also includes SenoGram, an artificial intelligence (AI) physician decision support tool that aids in the interpretation of the new images.
“Optimizing the diagnosis of breast masses requires a combination of very high sensitivity, over 98%, while simultaneously maximizing specificity and minimizing false positives and biopsies of benign masses,” said A. Thomas Stavros, MD, chief medical officer of Seno. “Other modalities have reported improvements in specificity, but these have often come at the expense of the desired high sensitivity.”
Optoacoustic imaging is an imaging modality that uses non-ionizing laser pulsing of biological tissues to initiate a photoacoustic effect, in which part of the energy is absorbed and converted into heat, leading to a transient thermoelastic expansion, which generates a wideband ultrasonic emission. As the optical absorption is closely associated with physiological properties--such as hemoglobin concentration and oxygen saturation--the photoacoustic signal, detected by ultrasonic transducers, is proportional to local energy deposition.
Related Links:
Seno Medical Instruments
The Seno Medical Instruments (Seno; San Antonio, TX, USA) Imagio OA/US system is indicated for use by trained and qualified healthcare providers to evaluate palpable and non-palpable breast abnormalities in adult patients who are referred for diagnostic imaging breast work-up, following clinical presentation or other imaging examinations such as screening mammography. Imagio uses laser optics and grayscale ultrasound to provide fused, functional, and anatomical breast imaging.
The OA images provide a unique blood map in and around breast masses, while US provides a traditional anatomical image. Through the appearance (or absence) of two hallmark cancer indicators, angiogenesis and deoxygenation, radiologists can confirm or rule out malignancy, without necessitating the use of ionizing radiation (x-rays) or contrast agents. In addition to imaging enhancement, Imagio also includes SenoGram, an artificial intelligence (AI) physician decision support tool that aids in the interpretation of the new images.
“Optimizing the diagnosis of breast masses requires a combination of very high sensitivity, over 98%, while simultaneously maximizing specificity and minimizing false positives and biopsies of benign masses,” said A. Thomas Stavros, MD, chief medical officer of Seno. “Other modalities have reported improvements in specificity, but these have often come at the expense of the desired high sensitivity.”
Optoacoustic imaging is an imaging modality that uses non-ionizing laser pulsing of biological tissues to initiate a photoacoustic effect, in which part of the energy is absorbed and converted into heat, leading to a transient thermoelastic expansion, which generates a wideband ultrasonic emission. As the optical absorption is closely associated with physiological properties--such as hemoglobin concentration and oxygen saturation--the photoacoustic signal, detected by ultrasonic transducers, is proportional to local energy deposition.
Related Links:
Seno Medical Instruments
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







