Search Results
Found 2 results
510(k) Data Aggregation
(184 days)
The HYDROS Robotic System is indicated for the resection and removal of prostate tissue in males suffering from lower urinary tract symptoms (LUTS) due to benign prostatic hyperplasia.
The HYDROS Robotic System has three components – the HYDROS Robotic System, HYDROS TRUS Probe, and HYDROS Handpiece.
- HYDROS Robotic System
The HYDROS Robotic System, consists of the following nine components:
- HYDROS Tower
- Touchscreen Interfaces - Monitor that supports the Tower Monitor (Tmon) and Surgeon Monitor (Smon)
- HYDROS Software
- HYDROS Operating System
- Embedded Software
- Motorpack
- Handpiece Arm
- TRUS Probe Arm
- Foot Pedal
The HYDROS Robotic System is provided non-sterile, and no sterilization is required prior to each use. The Tower, Foot Pedal, Roll Stand, Articulating Arms, and Motorpack are reprocessed per instructions provided with the device after each use. The HYDROS Robotic System does not come in contact with the patients during the procedure.
-
HYDROS TRUS Probe
The HYDROS TRUS Probe is a biplane transrectal ultrasound probe that is used in the conjunction with the HYDROS Robotic System and HYDROS Handpiece to provide ultrasound imaging to deliver the AQUABLATION procedure. The HYDROS TRUS Probe is re-usable and provided non-sterile. It is reprocessed prior to each use as per the instructions provided in the IFU. -
HYDROS Handpiece
The HYDROS Handpiece is the single-use sterile surgical device introduced to the surgical site within the prostate through the urethra to visualize, resect and remove prostatic tissue. The HYDROS Handpiece is integrated with a digital CMOS Scope and is terminally sterilized by EtO.
The provided document is a 510(k) Clearance Letter and 510(k) Summary for the HYDROS Robotic System. This type of FDA submission focuses on demonstrating substantial equivalence to a predicate device, rather than providing detailed clinical study results and acceptance criteria for specific AI/ML components as one might find in a De Novo or PMA submission.
Therefore, the document does not contain all the requested information for the acceptance criteria and the study proving the device meets those criteria, particularly for the AI/ML aspects. It only states that the AI/ML component "Passes" FDA guidance.
However, based on the information provided, here's what can be extracted and inferred:
1. Table of Acceptance Criteria and Reported Device Performance
The document does not explicitly state acceptance criteria in quantitative terms for the AI/ML features. Instead, it indicates that the AI/ML component passed relevant FDA guidance.
| Feature Area | Acceptance Criteria (from document) | Reported Device Performance (from document) |
|---|---|---|
| FirstAssist AI™ | Complies with FDA Guidance for AI/ML in Medical Device Development. | "Pass" (referring to compliance with FDA Guidance: Clinical Performance Assessment: Considerations for Computer-Assisted Detection Devices Applied to Radiology Images and Radiology Device Data in Premarket Notification (510(k)) Submissions; Computer-Assisted Detection Devices Applied to Radiology Images and Radiology Device Data - Premarket Notification [510(k)] Submissions; Good Machine Learning Practice for Medical Device Development: Guiding Principles) |
| Overall System | Meets applicable standards and guidance documents for non-clinical tests. | "Pass" for all listed non-clinical bench tests (System Verification, Usability, EMC, Basic Safety, Wireless, Sterilization, Biocompatibility, Packaging, Shelf Life, Reliability, Labeling, Reprocessing, Corrosion, Cystoscope Imaging, Ultrasound Imaging, Cybersecurity, Software). |
Limitations: The document does not provide specific performance metrics (e.g., accuracy, sensitivity, specificity, or localization error thresholds) as acceptance criteria for the FirstAssist AI™ feature, nor does it present quantitative results. The "Pass" indicates general compliance with regulatory expectations for a 510(k) AI/ML submission.
2. Sample Size Used for the Test Set and Data Provenance
The document does not specify the sample size used for the test set or the data provenance (e.g., country of origin, retrospective/prospective) for the AI/ML components. It only mentions "non-clinical performance data" and "simulated use testing and cadaver testing" for overall system validation, but these don't specifically refer to the AI/ML test set.
3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications
The document does not provide information on the number of experts used to establish ground truth or their qualifications for the AI/ML test set.
4. Adjudication Method for the Test Set
The document does not specify any adjudication method used for the test set, particularly for the AI/ML component.
5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was Done
The document does not mention a Multi-Reader Multi-Case (MRMC) comparative effectiveness study. It also does not provide any effect size for human readers improving with AI assistance. The AI feature ("FirstAssist AI™") is described as "optional" assistance during the PLAN step for displaying nozzle position, prostate capsule boundary, and placing landmarks, implying it's a tool for surgeons rather than a primary diagnostic AI.
6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) was Done
The document implicitly suggests a standalone component analysis for the AI/ML feature by stating it "provides the handpiece nozzle position and the prostate capsule boundary" and "will place the 4 landmarks." However, detailed standalone performance metrics (e.g., how accurate the AI's landmark placement is without human correction, or the performance of the AI in identifying boundaries) are not provided. The description focuses on its function as an assistive tool, implying human review and adjustment.
7. The Type of Ground Truth Used
The document does not explicitly state the type of ground truth used for the AI/ML component. Given the nature of prostate anatomy and procedural planning in a surgical context, it could involve expert anatomical annotation on imaging data, but this is not specified.
8. The Sample Size for the Training Set
The document does not provide the sample size used for the training set of the AI/ML model.
9. How the Ground Truth for the Training Set was Established
The document does not describe how the ground truth for the training set was established for the AI/ML model.
Summary of AI/ML Specifics from the Document:
- Feature Name: FirstAssist AI™ (previously Assisted Planning)
- Functionality:
- Transverse view: Provides handpiece nozzle position and prostate capsule boundary.
- Sagittal view: Places 4 landmarks (treatment start (TS), bladder neck (BN), mid-prostate (MP), and treatment end (TE)).
- User Interaction: The surgeon has the option to adjust the landmarks as needed.
- Change from Predicate: The subject device has an "updated AI model for the same functionality of landmark identification."
- Regulatory Status: "Passes" FDA Guidance for AI/ML.
In conclusion, while the document confirms the HYDROS Robotic System has an AI/ML component ("FirstAssist AI™") and was cleared based on non-clinical performance and equivalence to a predicate, it lacks the detailed quantitative acceptance criteria and study particulars for the AI/ML model itself that would typically be found in a more comprehensive clinical validation report. The "Pass" for AI/ML indicates compliance with the regulatory requirements pertinent to a 510(k) submission, which often rely on demonstration of similar performance to a predicate or adherence to recognized performance standards rather than extensive de novo clinical studies specifically for the AI component's accuracy.
Ask a specific question about this device
(208 days)
The HYDROS™ Robotic System is intended for the resection and removal of prostate tissue in males suffering from lower urinary tract symptoms (LUTS) due to benign prostatic hyperplasia.
The HYDROS™ Robotic System has three components - the HYDROS Robotic System, HYDROS TRUS Probe, and HYDROS Handpiece.
- HYDROS Robotic System: consists of the HYDROS Tower, Touchscreen Interfaces Monitor, HYDROS Software, HYDROS Operating System, Embedded Software, Motorpack, Handpiece Arm, TRUS Probe Arm, and Foot Pedal. It is provided non-sterile and reprocessed per instructions. It does not contact patients during the procedure.
- HYDROS TRUS Probe: a biplane transrectal ultrasound probe used with the HYDROS Robotic System and HYDROS Handpiece to provide ultrasound imaging for the AQUABLATION procedure. It is re-usable, provided non-sterile, and reprocessed prior to each use.
- HYDROS Handpiece: a single-use sterile surgical device introduced through the urethra to visualize, resect and remove prostatic tissue. It is integrated with a digital CMOS Scope and terminally sterilized by EtO.
Here's a summary of the acceptance criteria and study information for the HYDROS™ Robotic System, HYDROS™ Handpiece, and HYDROS™ TRUS Probe, based on the provided text:
Important Note: The provided text is a 510(k) summary, which focuses on demonstrating substantial equivalence to a predicate device through non-clinical testing. It does not contain information about a clinical study or performance metrics specifically for AI functionality, as the AI feature seems to be an optional "FirstAssist AI™" feature that aids in planning rather than directly dictating treatment. Therefore, many of the requested clinical study-related details are not available in this document.
1. Table of Acceptance Criteria and Reported Device Performance
The document primarily reports "Pass" for all non-clinical bench tests, indicating that the device met the requirements of the specified standards and guidance documents. Specific quantitative acceptance criteria or performance metrics beyond a "Pass" result are not provided in this summary.
| Non-Clinical Bench Test Category | Guidance/Standard ID & Name | Reported Device Performance |
|---|---|---|
| System Verification | FDA Guidance for BPH Device Investigation | Pass |
| Usability | IEC 62366-1:2015/COR1:2016, ANSI/AAMI HE75:2009 (R2018) | Pass |
| Electromagnetic Compatibility | IEC60601-1-2:2020, IEC TR 60601-4-2 | Pass |
| Basic Safety | IEC 60601-1:2020, IEC 60601-2-37 Ed. 2.1 2015, EC 60601-1-6:2020, IEC 60601-2-18: 2009, IEC 80601-2-77: 2019 | Pass |
| Wireless | AAMI TIR69:2017/(R2020), FDA Guidance | Pass |
| Sterilization | EN ISO 11135:2014 + AMD 1: 2019, ISO 10993-7:2008 + AMD 1:2019, ISO 11138-1: 2017, ISO 11138-2: 2017, BS EN 556-1: 2001, ISO11737-1: 2018+AMD1:2021, ISO 11737-2: 2019, ISO 11139: 2018, ISO 14937:2009, AAMI TIR 14: 2016, AAMI TIR 15: 2016, AAMI TIR 16: 2017, AAMI TIR 28: 2016/(R)2020, ISO 11135 Second edition 2014-07-15, ISO 11737-2 Third edition 2019-12 | Pass |
| Biocompatibility | ISO 10993-1:2018, ISO 10993-4:2017, ISO 10993-5:2009, ISO 10993-9: 2019, ISO 10993-10:2021, ISO 10993-11: 2017, ISO 10993-12:2021, ISO 10993-13:2010, ISO 10993-14:2001, ISO 10993-15:2019, ISO 10993-18:2020, ISO 10993-23:2021 | Pass |
| Packaging and Transit | ISTA 3B: 2017, ASTM D4332-22, ASTM D4169-22, ASTM F1886/F1886M-16, ASTM F2096-11 (2019), ISO 11607-1: 2019, ISO 11607-2: 2019 | Pass |
| Shelf Life | ASTM F88/F88-2023, ASTM F1980-21 | Pass |
| Reliability | MIL-STD-721C | Pass |
| Labeling | ISO 15223-1:2021, ISO 20417:2021, ISO 7000:2019, ISO 7010 Third edition 2019-07, ISO 17664-2 First edition 2021-02, IEC/TR 60878 Ed. 4.0 2022-11, ISO 17664-1:2021, FDA Guidance (Blue Book Memo), FDA Guidance (89-4203) | Pass |
| Reprocessing | ANSI AAMI ST98:2022, AAMI TIR 12:2020, ASTM F3208-20, AAMI TIR 99:2024 | Pass |
| Corrosion | ASTM F1089-18 | Pass |
| Cystoscope Imaging | ISO 8600-5:2020, ISO 8600-3:2019, ISO 8600-1: 2015, ISO 80369-7:2021, ISO CIE 11664-4, First Edition 2019-06, ISO CIE 11664-6, First Edition 2014-02-01, IEC 61966-2-1:1999-10 | Pass |
| Ultrasound Imaging | IEC 62127-1:2022, IEC 61391-1:2006+AMD1:2017, FDA Guidance | Pass |
| Cybersecurity | ISO IEC 29147 First edition 2014-02-15, IEC 80001-1 Edition 1.0 2010-10, AAMI TIR57:2016, ANSI NEMA HN 1-2019, FDA Guidance | Pass |
| Software | FDA Guidance (Premarket Submissions Software), Draft FDA Guidance (Device Software Functions), FDA Guidance (Software Validation) | Pass |
| AI/ML | FDA Guidance (Clinical Performance CADe), FDA Guidance (CADe Premarket Notification), FDA Guidance (Good Machine Learning Practice) | Pass |
Non-Clinical Testing Details:
- Study Type: Design validation included simulated use testing and cadaver testing. The summary primarily lists compliance with various national and international standards and FDA guidance documents.
- Sample Size (Test Set): Not explicitly stated in the provided text for each specific test. The "Pass" results suggest that the tests were conducted with sufficient samples to meet the requirements of the standards.
- Data Provenance: Not specified, but implied to be from laboratory and cadaver testing within the manufacturer's control, as it's non-clinical performance data.
- Number of Experts for Ground Truth & Qualifications: Not applicable for non-clinical bench testing.
- Adjudication Method: Not applicable for non-clinical bench testing.
- Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study: Not mentioned in this non-clinical summary. The AI feature ("FirstAssist AI™") is described as "optional" and assists in planning by providing handpiece nozzle position and prostate capsule boundary, and placing profile landmarks for adjustment by the surgeon. This suggests it's a decision-support tool rather than an autonomous diagnostic or treatment device requiring MRMC studies for performance comparison against human readers.
- Standalone (Algorithm Only) Performance: The AI/ML entry indicates compliance with FDA guidance documents for CADe devices and good machine learning practice. This suggests standalone performance testing for the AI component was likely conducted to meet these guidelines, but specific metrics are not detailed in this summary. The AI assists in planning rather than directly performing the procedure.
- Type of Ground Truth (for AI): The AI feature provides "handpiece nozzle position and the prostate capsule boundary" and places "4 landmarks - treatment start (TS), bladder neck (BN), mid-prostate (MP) and treatment end (TE)." The implication is that these are derived from anatomical structures visible on TRUS imaging, and the ground truth for these would typically be established by expert review/annotations of such images.
- Sample Size for Training Set (for AI): Not specified in the provided text.
- How Ground Truth for Training Set was Established (for AI): Not explicitly stated. For AI in medical imaging, ground truth is typically established by expert annotation (e.g., urologists or radiologists marking anatomical structures or disease boundaries on medical images).
Conclusion from the document:
"The overall performance data in this submission supports that the HYDROS Robotic System and its components are substantially equivalent to the predicate device when utilized for its intended use." This statement confirms that all acceptance criteria relevant to demonstrating substantial equivalence through non-clinical means were met.
Ask a specific question about this device
Page 1 of 1