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510(k) Data Aggregation
(207 days)
EBT ULTRAFAST CT SCANNER SYSTEM; C-100, C-150, C-150LXP OR C-150XP SCANNER SYSTEMS; ELECTRON BEAM SCANNER
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(42 days)
EBT ULTRAFAST CT SCANNER SYSTEM; ULTRAFAST CT SCANNER SYSTEM; C-100, C-150.
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(85 days)
EBT ULTRAFAST CT SCANNER SYSTEM; ULTRAFAST CT SCANNER SYSTEM; C-100, C-150, C-150LXP OR C-150XP SCANNER
The Imatron EBT scanner system -- when used angiographically -- is intended to combine the capabilities of both a CT and angiography system. When used for this purpose, the system is intended to perform Electron Beam Angiography, i.e., "EBA".
More specifically, the EBT system is intended:
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- to function as a diagnostic x-ray system to produce two and three dimensional images of the heart, blood vessels, or lymphatic system from a volume of computer reconstructed cross-sectional images from x-ray transmission data from the same axial plane taken at different angles;
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- to permit radiologic visualization during or after injection of a contrast medium; and
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- to permit the transmission data from certain three dimensional images to also be presented in time-sequenced or cine fashion.
Finally, such system is intended to be used consistent with those already classified and set forth in 21 CFR Sections 892.1600 and 892.1750.
Imatron's current EBT scanner system, i.e., the CT system to be used for CT Angiography, is composed of essentially two subsystems, i.e., a CT scanner (and its associated components, parts, and accessories) and a workstation (and its associated components, parts, and accessories). Imatron's scanner operates by directing a focused beam of electrons along tungsten target rings to produce X-rays which pass through the human body at multiple angles as in conventional CT scanning systems. Such EBT scanner is capable of producing CT slices at rapid speeds since the data is produced by electronic rotation of the electron beam itself rather than the mechanical rotation of an X-ray tube as in conventional CT scanning systems. The EBT system's workstation is either directly incorporated into and physically a part of the system or is indirectly incorporated into the system via a data connection port. Such workstations are all able to receive EBT cross-sectional images (either through a direct connection or through a DICOM 3.0 or higher compatible interface) and have a cleared intended use which includes being able to produce 3 and/or 4 dimensional volume imaging (including, among other functions, volume rendering, surface rendering, maximum intensity projections, or reformatting).
The provided text does not contain detailed information about specific acceptance criteria, a study proving device performance against those criteria, or a table of acceptance criteria with reported performance. The document is a 510(k) summary for an Imatron EBT scanner system, primarily focusing on establishing substantial equivalence with existing devices for an expanded intended use (CT Angiography).
Therefore, I cannot populate all sections of your request based on the provided input. However, I can extract information relevant to the study design elements you requested where available in the document.
Here's a breakdown of what can be inferred or explicitly stated from the provided text:
1. A table of acceptance criteria and the reported device performance
- Not Available. The document does not provide a table of acceptance criteria or specific quantitative performance metrics like sensitivity, specificity, accuracy, etc., for the device's angiographic capabilities. The submission focuses on substantial equivalence to existing CT and angiography systems, rather than presenting a performance study with pre-defined acceptance criteria.
2. Sample size used for the test set and the data provenance (e.g., country of origin of the data, retrospective or prospective)
- Not Available. No information about a specific test set, its sample size, or data provenance is provided. The submission relies on the device being "identical to the prior Imatron Ultrafast CT scanner system" and its inherent capabilities for angiography, rather than a new clinical study.
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 Available. Since no dedicated test set or clinical study is described, there is no mention of experts used to establish ground truth.
4. Adjudication method (e.g., 2+1, 3+1, none) for the test set
- Not Available. No adjudication method is described as there is no specific test set or 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
- Not Available. This submission predates widespread AI integration in medical devices and focuses on hardware capability and intended use expansion. No MRMC study or AI-assisted performance evaluation is mentioned.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done
- Not Available. The device described is a CT scanner system, not an algorithm. Therefore, "standalone" algorithm performance is not applicable in this context.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)
- Not Available. Given the nature of the submission (510(k) for substantial equivalence of a physical device for an expanded intended use), there is no mention of a ground truth in the context of a performance study. The "truth" from the regulatory perspective here is whether the device's capabilities align with previously cleared CT and angiography systems.
8. The sample size for the training set
- Not Available. No training set is mentioned as this is a hardware device submission, not an AI/algorithm submission.
9. How the ground truth for the training set was established
- Not Available. No training set or ground truth for a training set is mentioned.
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(71 days)
ULTRAFAST CT SCANNER; EBT CT SCANNER, EVOLUTION
The intended use of the device here in question, i.e., the Imatron Ultrafast CT Scanner, remains unchanged from the intended use of prior predicate Imatron and other scanners. The Imatron Ultrafast CT Scanner is designed -- as are all similar devices -- to produce cross sectional images (i.e., thin slices) of the human anatomy. In this instance, such images are produced via helical (i.e., continuous volume or dynamic) or stationary (i.e., static) scanning. Imatron's device is -- as are some of the predicate devices -- also intended to be used for clinical situations requiring determination of specific quantitative information, such as the determination of calcium or other materials in bone, tumors, or organs.
The Imatron Ultrafast CT scanner is a scanning system which operates by directing a focused beam of electrons along tungsten target rings to produce X-rays which pass through the body at multiple angles as in conventional CT scanning systems. The Imatron Ultrafast CT scanner is capable of producing CT slices at rapid speeds since the data is produced by electronic rotation of the electron beam itself rather than the mechanical rotation of an X-ray tube as in conventional CT scanning systems. Currently, the Imatron Ultrafast CT scanner operating at its highest resolution mode has 864 single, contiguous X-ray detectors subtending an arc of 0.250 degrees each. The resulting 5% amplitude modulation transfer function (MTF) for high contrast objects at the center of the circle of reconstruction is 7 line pairs per centimeter (lp/cm).
The provided text describes a 510(k) submission for a design modification to the Imatron Ultrafast CT Scanner, specifically implementing a High Resolution Detector (HRD). The study focuses on demonstrating "substantial equivalence" to a predicate device rather than establishing new acceptance criteria for a novel device. Therefore, some information requested, particularly regarding acceptance criteria and separate performance metrics, is not explicitly detailed as would be for a new device submission.
Here's an analysis of the available information:
1. Table of Acceptance Criteria and Reported Device Performance
The submission doesn't present a formal table of "acceptance criteria" in the sense of predefined thresholds for clinical performance metrics (e.g., sensitivity, specificity). Instead, it focuses on demonstrating that the modified device's performance, specifically its image resolution, is improved and that the device remains "substantially equivalent" to its predicate.
Criterion/Parameter (as described) | Predicate Device Performance | Modified Device (HRD) Performance | Acceptance (Implied) |
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Arc Subtended by Detectors | 0.250 degrees (864 single detectors) | 0.125 degrees (864 pairs of detectors) | Improved Resolution |
5% Amplitude MTF (High Contrast Objects, center of reconstruction) | 7 line pairs per centimeter (lp/cm) | 9.5 lp/cm | Improved Resolution (Superior to Predicate) |
Dose Efficiency | Original system's | Retained (same as original) | Equivalent |
Number of Data Acquisition Channels | Original system's | Retained (same as original) | Equivalent |
Number of Samples | Original system's | Retained (same as original) | Equivalent |
Safety, Effectiveness, Intended Use Impact | Not significantly impacted by other modifications | Not significantly impacted | Equivalent |
2. Sample Size Used for the Test Set and Data Provenance
- Test Set Sample Size: 12 human subjects.
- Data Provenance: Clinical performance testing with human volunteers was conducted "on site" (likely Imatron's facility) and was prospective, following IRB overview and informed consent. The country of origin is not explicitly stated but can be inferred as the USA given the FDA submission context.
3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications of Experts
This information is not provided in the document. The study described is a "human volunteer testing" to show "substantial equivalence," not a diagnostic accuracy study requiring expert-derived ground truth for the device's output.
4. Adjudication Method for the Test Set
This information is not provided. As noted above, the study appears to be focused on demonstrating device functionality and equivalence, not a diagnostic accuracy study that would typically involve adjudication of device outputs against a ground truth.
5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was Done
No, an MRMC comparative effectiveness study was not done. The submission describes bench testing and human volunteer testing to demonstrate substantial equivalence of the device itself, not to evaluate reader performance with or without AI assistance. The device in question is a CT scanner, not an AI software.
6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Was Done
Yes, in a sense. The "Non-clinical Performance" section describes extensive bench testing (~61 tests including product acceptance and release criteria, and phantom testing) carried out before human testing. This represents a standalone assessment of the device's physical and technical performance. The device itself is a scanner, not an AI algorithm, so the concept of an "algorithm only" performance would refer to its technical specifications.
7. The Type of Ground Truth Used
For the bench testing and phantom testing, the "ground truth" would be established by the physical characteristics of the phantoms and the expected technical performance measurements for a CT scanner (e.g., MTF calculations). For the human volunteer testing, the "ground truth" or reference standard for comparison is the performance characteristics of the predicate device, aiming to show that the modified device performs equivalently or better in terms of image quality and safety. There is no mention of pathology, outcomes data, or expert consensus in relation to diagnostic accuracy for clinical conditions.
8. The Sample Size for the Training Set
This information is not applicable and therefore not provided. The Imatron Ultrafast CT Scanner is a hardware device (a CT scanner), not a machine learning or AI-based algorithm that requires a "training set" in the context of AI development.
9. How the Ground Truth for the Training Set Was Established
This information is not applicable as there is no training set for a hardware device.
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