(66 days)
The GE Discovery MI Gen2 is a PET/CT system for producing attenuation corrected PET images. It is intended to be used by qualified health care professionals for imaging the distribution and localization of any positron-emitting radiopharmaceutical in a patient, for the assessment of metabolic (molecular) and physiologic function in patients, with a wide range of sizes and extent of disease, of all ages.
Discovery MI Gen2 is intended to image the whole body, head, heart, bone, the gastrointestinal and lymphatic systems, and other organs. The images produced by the system may be used by physicians to aid in radiotherapy treatment planning, therapy guidance and monitoring, and in interventional radiology procedures. The images may also be used for precise functional and anatomical mapping (localization, registration, and fusion).
When used with radiopharmaceuticals approved by the regulatory in the country of use, the raw and image data is an aid in; detection, localization, evaluation, diagnosis, staging, monitoring, and/or follow up, of abnormalities, lesions, tumors, inflammation, infection, organ function, disorders, and/or disease, such as, but not limited to, those in oncology, cardiology, and neurology. Examples of which are:
Cardiology:
- Cardiovascular disease
- Myocardial perfusion
- Myocardial viability
- Cardiac inflammation
- Coronary artery disease
Neurology:
- Epilepsy
- Dementia, such as Alzheimer's disease, Lewy body dementia, Parkinson's disease with dementia, and frontotemporal dementia
- Movement disorders, such as Parkinson's and Huntington's disease
- Tumors
- Inflammation
- Cerebrovascular disease such as acute stroke, chronic and acute ischemia
- Traumatic Brain Injury (TBI)
Oncology/Cancer:
- Non-Small Cell Lung Cancer
- Small Cell Lung Cancer
- Breast Cancer
- Prostate Cancer
- Hodgkin's disease
- Non-Hodgkin's lymphoma
- Colorectal Cancer
- Melanoma
Discovery MI Gen2 is also intended for stand-alone, diagnostic CT imaging in accordance with the stand-alone CT system's cleared indications for use.
GE's Discovery MI (DMI) Gen2, same as the unmodified predicate device, is a hybrid digital PET/CT diagnostic imaging system combining a GE Positron Emission Tomography (PET) System and a GE Computed Tomography (CT) System. The DMI Gen2 is intended for CT attenuation corrected, anatomically localized PET imaging of the distribution of positron-emitting radiopharmaceuticals. lt is intended to image the whole body, head, heart, brain, lung, breast, bone, the gastrointestinal and lymphatic systems, and other organs. The system is also intended for stand-alone, diagnostic CT imaging.
GE has modified the cleared Discovery MI (K161574) within our design controls to include a 6ring configuration that provides 30 cm Axial Field of View (AFOV) coverage. DMI Gen2 employs the same detector design architecture and manufacturing process as in the predicate to offer scalable ring configurations (3-ring, 4-ring, 5-ring and 6-ring) to have scalable AFOV coverage (15cm, 20cm, 25cm and 30cm) and corresponding imaging performances.
The provided text is a 510(k) Summary of Safety and Effectiveness for the GE Discovery MI Gen2 PET/CT system. It does not include a description of acceptance criteria or a detailed study proving the device meets specific performance metrics in a clinical setting. Instead, it states that clinical testing was not required due to the nature of the changes to the device and the use of established engineering and physics-based performance testing.
Therefore, many of the requested items related to clinical study design and ground truth are explicitly stated as not applicable or not performed in this submission.
Here's a breakdown based on the provided text, highlighting what is present and what is absent:
1. A table of acceptance criteria and the reported device performance
- Absent. The document does not provide specific acceptance criteria or reported performance metrics in a tabular format for clinical outcomes. It focuses on engineering and image performance evaluation testing, but no specific values or acceptance thresholds are given. The mention of "better detectability of small lesions" and "higher AFOV coverage... allows a patient to be scanned using fewer field of views" are general claims of improvement, not specific performance metrics against an acceptance criterion.
2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)
- Not applicable. This was a non-clinical study. The summary states: "Clinical Testing: Discovery MI Gen2 is designed and built entirely from existing and cleared systems, subsystems, components, and technologies of its Predicate Device (Discovery MI). This type of change in Discovery MI Gen 2 is supported using scientific, established/standardized, engineering/physics-based performance testing, without inclusion of clinical images, to demonstrate that the device is as safe and as effective as the predicate devices. Given the above information and the type and scope of the changes, particularly the addition of the 30 cm, 6-ring, AFOV configuration, clinical testing is not required to demonstrate that the Discovery MI Gen 2 is as safe and as effective as the legally marketed predicate device."
- "Image Performance evaluation testing used a variety of test methods and phantoms covering a broad base of relevant imaging performance and image quality test cases..." This indicates the test set consisted of phantoms, not patient data.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)
- Not applicable. No human experts were used for ground truth because the testing was non-clinical, using phantoms, and relied on "mathematical and physics analysis" and "scientific methods that are standardized (e.g. NEMA, FDA Guidance), well established, and/or reviewed in previous GE's PETCT or Nuclear Medicine clearances."
4. Adjudication method (e.g. 2+1, 3+1, none) for the test set
- Not applicable. No human review or adjudication was performed as it was a non-clinical performance study.
5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance
- No. An MRMC study was not performed as clinical testing with human readers was not part of this 510(k) submission. No AI component is mentioned.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done
- Partially applicable, but not for a clinical algorithm. The testing was "algorithm only" in the sense that it assessed the device's performance using phantoms and engineering methods, independent of human interpretation in a clinical setting. However, it's a PET/CT system, not an AI algorithm in the context of diagnostic assistance. The document refers to "Deep Learning Image Reconstruction (DLIR) K193170" for the CT System component, suggesting an AI component is involved in image generation, but this submission focuses on the full PET/CT system and does not detail performance data specific to DLIR.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)
- Engineering/Physics-based Standards and Phantoms. The ground truth was established through "scientific methods that are standardized (e.g. NEMA, FDA Guidance)" and "phandoms" [sic] with known properties, along with "mathematical and physics analysis."
8. The sample size for the training set
- Not applicable / Not explicitly stated. This document describes the clearance of a medical imaging device (PET/CT system), not a new AI algorithm that requires a separate training set. While the CT component mentions "Deep Learning Image Reconstruction (DLIR)," the training data and methods for DLIR (K193170) are outside the scope of this specific 510(k) summary. For the overall PET/CT system, there isn't a "training set" in the sense of a machine learning model, but rather a design and development process based on existing technologies.
9. How the ground truth for the training set was established
- Not applicable / Not explicitly stated. As above, no training set for a new AI algorithm specific to this 510(k) is discussed. For the DLIR component (from K193170, mentioned as part of the CT system), the ground truth for its training would have been established in its own separate clearance, likely through high-quality, low-noise CT scans.
§ 892.1200 Emission computed tomography system.
(a)
Identification. An emission computed tomography system is a device intended to detect the location and distribution of gamma ray- and positron-emitting radionuclides in the body and produce cross-sectional images through computer reconstruction of the data. This generic type of device may include signal analysis and display equipment, patient and equipment supports, radionuclide anatomical markers, component parts, and accessories.(b)
Classification. Class II.