Search Results

The MotiliCap GI Monitoring System measures whole gut and regional gut (stomach, small bowel, and colon) transit times. Measurements of gastrointestinal tract transit times are used for evaluating motility disorders.

Gastric transit time (gastric emptying time, GET) is indicated for the evaluation of patients with suspected gastroparesis. Delayed gastric emptying is implicated in such disorders as idiopathic and diabetic gastroparesis and functional non-ulcer dyspepsia.

Colonic transit time (CTT) is indicated for the evaluation of colonic transit in patients with chronic constipation and used to aid in differentiating slow and normal transit constipation. Combined small and large bowel transit time (SLBTT) is used as a surrogate measure of colonic transit in patients with chronic constipation when colonic transit time alone cannot be determined.

The system measures pH, pressure, and temperature throughout the GI tract. Pressure contraction data from the antrum and duodenum can be used to calculate motility indices.

Not for use in pediatric patients.

The MotiliCap GI Monitoring System is comprised of the following components:

• MotiliCap Capsule (Catalog Number: CP-US-7010)
• Data Recorder (Catalog Number: MO-US-8001)
• Computer Software (MotiliScan: V1. MO-US-8005)
• Smartphone App (MotiliCap: V1. MO-US-8006)

The single-use capsule consists of the pressure sensor, the pH sensor, and the temperature sensor, which separately measure the pressure, pH, and temperature in the GI tract to determine transit times of the stomach, small bowel, and colon. The system provides information that aids clinicians in the evaluation of motility-related disorders. The data recorder records biomedical data transmitted by the capsule. The MotiliScan software is installed on a general-purpose computer. Before the examination, the software can create a case to start a test. After the test is complete, the software can receive, and process downloaded test data from the data recorder and graphically display the data for easy analysis and review. The MotiliScan software analyzes data and calculates motility indices such as GET, SBTT, CTT, and WGTT. The MotiliCap App is installed on a smartphone. This App is connected to the data recorder via Bluetooth, displays the connection status, and shows information about the capsule connected to the data recorder.

The provided FDA 510(k) clearance letter and summary for the MotiliCap GI Monitoring System does not contain the specific acceptance criteria or details of a study proving the device meets acceptance criteria.

The document states that substantial equivalence was based on "technological similarities of the devices and the results of the bench testing." It also briefly mentions "A small clinical evaluation of the device supported that the device could function as intended in the clinical environment and the patient is generally satisfied with the examination and software operation." However, it does not provide quantitative acceptance criteria for performance metrics (like accuracy, sensitivity, or specificity for transit times or other measurements), nor does it detail a study that demonstrates these criteria were met.

Therefore, I cannot populate the table or answer most of your detailed questions based on the provided text. The document focuses on demonstrating substantial equivalence to a predicate device (SmartPill GI Monitoring System), largely based on similar indications for use and technological characteristics, and general bench testing results.

Here's a breakdown of what can and cannot be answered from the provided text:

1. Table of acceptance criteria and the reported device performance:

• Cannot be provided. The document does not list specific acceptance criteria (e.g., "GET accuracy must be within X minutes of reference method") or quantitative reported device performance for clinical metrics. It only generally states that "The MotiliCap GI Monitoring System demonstrates the ability to measure pressure, pH, and temperature per the developed specifications."

2. Sample size used for the test set and the data provenance:

• Cannot be provided for performance metrics. The document mentions "A small clinical evaluation," but does not specify the sample size for this evaluation, its design (e.g., prospective/retrospective), or the country of origin of the data. The bench testing would have a "sample size" of capsles/components, but this is not typically what is sought when asking about a "test set" for clinical performance.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

• Cannot be provided. Ground truth establishment methods, number of experts, and their qualifications are not mentioned in relation to the "small clinical evaluation."

4. Adjudication method (e.g., 2+1, 3+1, none) for the test set:

• Cannot be provided. The document does not describe any adjudication method.

5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, and if so, what was the effect size of how much human readers improve with AI vs without AI assistance:

• No evidence of an MRMC study related to AI assistance. The document makes no mention of AI assistance or MRMC studies evaluating its impact on human readers. The device calculates motility indices, but the clearance is for its measurement capabilities, not necessarily for interpretative AI that assists human readers.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:

• Cannot be definitively answered with specific performance metrics. The device "calculates motility indices such as GET, SBTT, CTT, and WGTT." This implies a standalone algorithm for these calculations. However, the document does not present quantitative performance data for these calculations as a standalone algorithm against a reference standard in a dedicated study. It only states the system demonstrates the "ability to measure" these parameters.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.):

• Cannot be provided. The document does not specify the type of ground truth used for any clinical evaluation or for validating the calculated transit times. For bench testing, the ground truth would be known physical parameters (e.g., calibrated pH solutions).

8. The sample size for the training set:

• Cannot be provided. The document does not discuss a "training set," implying the product development and validation relied on existing knowledge and bench testing, rather than a machine learning model developed with a distinct training/test split that would require a separate training set.

9. How the ground truth for the training set was established:

• Cannot be provided. As no training set is discussed, its ground truth establishment is also not mentioned.

Ask a specific question about this device