Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Mar 5, 2026

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

345

Detecting Breast Cancer with a Dual-Modality Device.

Kamila Padia1, Tania S Douglas2,3, Lydia L Cairncross4

  • 1Department of Radiology, 2 Military Hospital, Hospital Street, Wynberg 7800, South Africa. kamilanaidoo@iafrica.com.

Diagnostics (Basel, Switzerland)
|March 25, 2017
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A prospective gait follow-up study 30 years after selective dorsal rhizotomy.

Journal of neurosurgery. Pediatrics·2025
Same author

Dynamic multi feature-class Gaussian process models.

Medical image analysis·2022
Same author

Welcome to the first issue of Medical Engineering & Physics for 2021.

Medical engineering & physics·2021
Same author

A user-centred design framework for mHealth.

PloS one·2020
Same author

Engaging Communities on Health Innovation: Experiences in Implementing Design Thinking.

International quarterly of community health education·2020
Same author

Statistical shape-kinematics models of the skeletal joints: Application to the shoulder complex.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020

Researchers developed a new dual-modality imaging device that combines digital mammography and automated ultrasound into one platform to improve breast cancer screening, especially for patients with dense tissue. Testing showed the system meets high clinical standards and provides clear, detailed images for early detection.

Area of Science:

  • Diagnostic imaging research within breast cancer oncology
  • Medical device development and full-field digital mammography evaluation

Background:

Current screening protocols often fail to identify malignancies in patients possessing dense mammary tissue. Mammography remains the primary diagnostic tool despite its inherent limitations regarding sensitivity in specific anatomical profiles. That uncertainty drove the development of supplementary imaging techniques to improve diagnostic accuracy. Ultrasound serves as a common secondary screening method to mitigate these diagnostic gaps. However, standard ultrasound procedures frequently increase overall healthcare expenditures and extend patient visit durations. No prior work had resolved the logistical challenges of integrating these distinct imaging modalities into one cohesive platform. This gap motivated the creation of a unified system to streamline clinical workflows. Researchers sought to determine if a combined approach could maintain high image quality while reducing diagnostic inefficiencies.

Purpose Of The Study:

The primary aim was to demonstrate that the second-generation Aceso system produces improved quality images for breast cancer detection. Researchers sought to combine two distinct imaging platforms into a single, efficient device. This integration addresses the diagnostic limitations encountered when screening patients with dense breast tissue. The study intended to verify if the combined hardware could provide clinically meaningful results. Investigators also aimed to test the system against established industry standards for image quality. They sought to determine if the platform could function effectively within a busy hospital clinic environment. This work addresses the need for faster and more accurate diagnostic tools in oncology. The researchers motivated this study by highlighting the high cost and time requirements of current separate screening procedures.

Keywords:
automated breast ultrasound (ABUS)breast cancerdense breastsdual-modality imagingfull-field digital mammography (FFDM)medical imaging technologydiagnostic radiologyclinical trial outcomesultrasound diagnostics

Frequently Asked Questions

The researchers propose that combining full-field digital mammography with automated breast ultrasound in one platform improves image quality. This dual-modality approach helps identify malignancies that might be missed by standard mammography alone, particularly in patients with dense breast tissue.

The team utilized a Contrast Detail Mammography phantom to validate mammography performance and a CIRS 054GS phantom to verify ultrasound capabilities. These industry-standard tools allow for objective assessment of spatial resolution and image clarity before human clinical trials.

The researchers state that the system requires both modalities to be integrated into a single platform to achieve meaningful clinical results. This necessity stems from the need to overcome the limitations of mammography in dense tissue while avoiding the time-consuming nature of separate ultrasound exams.

More Related Videos

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.4K
Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

17.0K

Related Experiment Videos

Last Updated: Mar 5, 2026

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

345
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.4K
Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

17.0K

Main Methods:

The review approach involved evaluating the second-generation Aceso system through both phantom testing and human clinical trials. Investigators first assessed the mammography component using a Contrast Detail Mammography phantom to ensure technical compliance. They subsequently employed a CIRS 054GS phantom to quantify the performance of the automated ultrasound module. The study design incorporated a cohort of 25 women to validate the system in a practical setting. This group consisted of 14 healthy volunteers and 11 patients recruited from a hospital breast clinic. Researchers measured spatial resolution and depth penetration to establish baseline performance metrics for the ultrasound hardware. The team compared these findings against established European Reference standards to determine clinical viability. This methodology allowed for a comprehensive assessment of the integrated platform's diagnostic capabilities.

Main Results:

Key findings from the literature indicate that the Aceso system produces high-quality images suitable for clinical breast cancer detection. The mammography results surpassed the European Reference standard for acceptable performance and approached the achievable threshold. Ultrasound testing demonstrated a lateral and axial spatial resolution of 0.5 mm. The device also maintained an adequate depth penetration of 80 mm during these technical evaluations. Clinical trials involving 25 participants confirmed the system's utility in a high-volume hospital environment. These results suggest that the platform effectively combines two distinct modalities without compromising diagnostic precision. The data show that the system provides meaningful clinical information for both healthy volunteers and referred patients. This performance profile supports the potential of the device to improve screening outcomes in dense tissue.

Conclusions:

The Aceso system demonstrates significant potential for enhancing early malignancy identification in high-volume clinical environments. Authors suggest that integrating these modalities provides superior diagnostic clarity compared to isolated imaging approaches. The findings indicate that the platform achieves performance metrics exceeding standard regulatory benchmarks for acceptable image quality. This synthesis implies that dual-modality systems could reduce the incidence of false negative diagnoses in dense tissue. The researchers conclude that the combined platform successfully balances technical resolution with practical clinical utility. Future implementations may benefit from the streamlined workflow offered by this unified hardware configuration. The study confirms that the device produces clinically meaningful results suitable for routine screening applications. These outcomes support the broader adoption of integrated imaging technologies in specialized breast clinics.

The clinical trial involved 25 participants, including 14 healthy volunteers and 11 patients referred from a specialized breast clinic. This data set provided a real-world environment to evaluate how the device performs across different patient populations.

The system achieved a lateral and axial spatial resolution of 0.5 mm and maintained a depth penetration of 80 mm. These measurements confirm that the ultrasound component meets the technical requirements for effective clinical imaging.

The authors suggest that their system could improve early detection rates in busy clinical settings. They claim that the improved image quality provides a more reliable diagnostic tool than current single-modality standards.