M1000 IMAGECHECKER
Not available publicly for this legacy product; contact vendor.
Regulatory Status Disclosed
Overview
The Hologic M1000 IMAGECHECKER is a computer-aided detection (CAD) system designed to assist radiologists in reviewing mammograms. It is intended for use with two-dimensional digital mammography images in screening and diagnostic settings.
- What it does: The M1000 IMAGECHECKER analyzes mammography images to identify and mark regions of interest that may be suggestive of microcalcifications or masses, characteristics commonly associated with breast cancer. It functions as a detection aid, drawing the radiologist’s attention to areas that may warrant a second review after their initial reading. The system uses algorithms to search for clusters of bright spots (microcalcifications) and dense regions with or without radiating lines (masses or architectural distortions).
- Who it is for: This tool is for radiologists and other clinic personnel, such as radiation technologists, working in hospitals, outpatient clinics, or breast imaging centers. The device is intended for use with patients undergoing screening mammography.
- How it fits a clinical or practice workflow: The M1000 IMAGECHECKER integrates into the mammography reading workflow. After the initial reading by the radiologist, the system’s marks can be activated to highlight areas for re-examination. The system can display these marks on SecurView® and PACS workstations, as well as other compatible diagnostic workstations. The software is a licensed option that can be used with Hologic’s Cenova™ Image Analytics Server or other comparable servers.
- Notable capabilities: The system identifies potential microcalcifications with triangles and masses with asterisks. If both findings occur in the same location, a ‘Malc™’ mark (shaped like the four points of a compass) may be used. The ImageChecker CAD software has been refined to be sensitive in identifying these regions.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Identifies and marks regions of interest (microcalcifications and masses) on mammograms.
- Assists radiologists in minimizing observational oversights.
- Utilizes algorithmic approaches, including neural networks, for pattern recognition.
- Compatible with conventional 2D images, as well as C-Viewu2122 and Intelligent 2Du2122 synthesized images (in later integrations).
- Displays markings on SecurViewu00ae, PACS workstations, and other compatible diagnostic workstations.
- Offers multiple sensitivity settings for marking regions of interest.
- Integrated on acquisition workstations (e.g., Hologic Dimensionsu00ae systems for newer versions).
Use Cases
- Aid in reviewing routine screening mammograms.
- Aid in reviewing diagnostic mammograms.
- Assisting in the early detection and diagnosis of breast cancer.
- Reducing false-negative readings due to observational oversight by radiologists.
- Highlighting potential abnormalities like calcifications and masses for further inspection.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Not available publicly for this legacy product; contact vendor. — N/A |
| Deployment | Software application integrated on dedicated servers or acquisition workstations (e.g., Hologic's Cenova™ Image Analytics Server or Selenia® Dimensions®/3Dimensions™ digital mammography systems). |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated The M1000 ImageChecker received Premarket Approval (PMA) from the FDA on June 26, 1998 (PMA Number P970058). It is intended to identify and mark regions of interest on routine screening mammograms to bring them to the attention of the radiologist after the initial reading has been completed, thereby assisting in minimizing observational oversights. Supplemental approvals later expanded its indications for use to include diagnostic mammograms. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Radiology |
What the Web Says
The Hologic M1000 ImageChecker is a computer-aided detection (CAD) system designed to assist radiologists in reviewing mammograms by highlighting suspicious areas. Approved by the FDA in 1998, it aims to minimize observational oversights and improve breast cancer detection rates. While initial studies showed an improvement in detection rates, more recent research suggests that newer AI-based detection systems applied to digital breast tomosynthesis (DBT) significantly outperform traditional CADe systems like the ImageChecker in terms of sensitivity and specificity.
Overall: MixedStrengths
- Aids radiologists in reviewing mammograms by identifying regions of interest.
- Improved radiologists' detection rate in initial studies.
- Helps minimize observational oversights.
- Identifies microcalcifications and masses.
- Acts as a 'second pair of eyes' for mammographers.
Limitations
- Not intended as a stand-alone diagnostic tool.
- Some radiologists were not convinced it was the most efficient way to double-read mammograms.
- Diagnostic accuracy of mammography not consistently improved in clinical practice, specifically regarding low specificity and high false-positive rates.
- Outperformed by newer deep learning-based AI algorithms in terms of AUC, sensitivity, and specificity.
- Increased sensitivity in newer versions was not at the expense of specificity, but overall marks were fewer.
Based on reviews from: CancerNetwork, Semantic Scholar, Diagnostic Imaging, accessdata.fda.gov, SPIE, Innolitics, Hologic, PMC
Last updated: 2026-07-19
Ratings & Reviews
No reviews yet. Be the first to review this tool!
Rate M1000 IMAGECHECKER
Press & Coverage
FDA
Premarket Approval (PMA) - M1000 IMAGECHECKER
The M1000 IMAGECHECKER, a computer system by Hologic, Inc., received Premarket Approval (PMA) from the FDA in 1998. It is intended to identify and mark regions of interest on screening mammograms to assist radiologists in minimizing observational oversights.
2026-06
Innolitics
M1000 IMAGECHECKER (P970058) u2014 FDA 510(k)
This entry details the M1000 IMAGECHECKER's FDA approval under PMA P970058, granted to Hologic, Inc. on June 26, 1998, classifying it as a Class 2 medical image analyzer.
1998-06
BJR|Artificial Intelligence (Oxford Academic)
AI and machine learning in medical imaging: key points from development to translation
This article references the M1000 IMAGECHECKER as an early example of a computer-aided diagnosis device for mammography, approved in 1998, highlighting its historical significance in the context of AI/ML in medical imaging.
2024-04
PMC (PubMed Central)
Traditional versus modern approaches to screening mammography: a comparison of computer-assisted detection for synthetic 2D mammography versus an artificial intelligence algorithm for digital breast tomosynthesis
This peer-reviewed article cites the M1000 IMAGECHECKER's Premarket Approval (PMA) from the US FDA in 2024, in a discussion comparing traditional CADe algorithms with newer AI algorithms for mammography.
2025-01
PMC (PubMed Central)
From X-Rays to AI: Navigating US Regulations in Radiological Health
This article mentions the M1000 ImageChecker (P970058) with a notice date of August 12, 1998, within a broader discussion of US regulations for radiological health devices, including AI/ML software.
2023-06
PMC (PubMed Central)
Artificial Intelligence in Breast Cancer Screening: Evaluation of FDA Device Regulation and Future Recommendations
The M1000 ImageChecker is listed as a device that received Premarket Approval in 2022, serving as a point of reference in an evaluation of FDA device regulation for AI products in breast cancer screening.
2022-08
PMC (PubMed Central)
Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA)-Cleared Tools for Screening Digital Breast Tomosynthesis (DBT)
This review references the FDA's Premarket Approval (PMA) for the M1000 ImageChecker, highlighting its role as an FDA-cleared tool in the context of AI-based computer-assisted detection and diagnosis for mammography.
2024-08
MDPI
Evaluating Magnetic Seed Localization in Targeted Axillary Dissection for Node-Positive Early Breast Cancer Patients Receiving Neoadjuvant Systemic Therapy: A Comprehensive Review and Pooled Analysis
This comprehensive review cites the M1000 IMAGECHECKER's 1998 FDA Premarket Approval (PMA) in the context of advancements in medical devices and AI tools for imaging in breast cancer.
2024-05
Videos
Product demos, reviews, and walkthroughs for M1000 IMAGECHECKER.
No videos found. Search YouTube directly
Frequently Asked Questions
The M1000 ImageChecker is a computer-aided detection (CAD) system designed to assist radiologists in reviewing mammograms. It functions as a 'second pair of eyes' by identifying and marking suspicious areas, such as microcalcifications and masses, to minimize observational oversights during the interpretation process.
Yes, the M1000 ImageChecker was the first CAD system for mammography to receive FDA approval in 1998, with subsequent supplemental approvals for expanded indications. As a medical device, it adheres to regulatory standards for safety and performance, and its use is intended to support, not replace, the radiologist's diagnosis.
The M1000 ImageChecker employs artificial intelligence, specifically neural networks, to process digitized mammographic images. Its core capability is to analyze these images for patterns characteristic of breast cancer, such as microcalcifications and masses, and then highlight these regions for the radiologist's attention.
Early versions of the M1000 ImageChecker primarily worked with digitized film mammograms and required several minutes for image analysis, which could impact workflow. While it improved detection rates, limitations of early CAD systems included concerns about data quality, standardization, and generalizability compared to the more advanced AI solutions available today for digital breast tomosynthesis.
Today, numerous advanced AI-powered solutions exist for medical imaging, including those for digital breast tomosynthesis (DBT) and other modalities. These alternatives often offer enhanced sensitivity and specificity, real-time analysis, and integration with modern PACS and EHR systems, with companies like Aidoc, Viz.ai, and Google Health AI providing various FDA-cleared algorithms.
In 2000, the M1000 ImageChecker system was listed at approximately $179,500. Current mammography machines, which may integrate advanced AI, can range from $50,000 for entry-level to over $200,000 for premium systems, not including additional costs for installation, physicist visits, and lead shielding.
The M1000 ImageChecker is designed to enhance a radiologist's diagnostic accuracy by drawing attention to potentially overlooked areas, thereby improving cancer detection rates. It integrates into the workflow by providing a secondary review after the radiologist's initial assessment, aiming to reduce false negatives without significantly increasing work-up rates.
Suggest an Edit →
| Last Verified: 2026-04-18 | First Added: 2026-04-18