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510(k) Data Aggregation

    K Number
    K222166
    Device Name
    SOLIX
    Manufacturer
    Date Cleared
    2022-11-09

    (111 days)

    Product Code
    Regulation Number
    886.1570
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    SOLIX™ is an optical coherence tomography system intended for the in vivo imaging, cross-sectional, and the threedimensional imaging and measurement of anterior ocular structures, including retina, retinal nerve fiber layer, ganglion cell complex (GCC), optic disc, corneal epithelium, corneal stroma, pachymetry, and anterior chamber of the eye. With the integrated reference database. SOLIX™ is also a quantitative tool for the comparison of the retinal nerve fiber layer, and optic disc measurements in the human eye to a database of known normal subjects. It is indicated for use as a diagnostic device to aid in the detection and management of ocular diseases.

    The SOLIX™ with the AngioVue software feature is indicated as an aid in the visualization of vascular structures of the retina and choroid in normal subjects with glaucoma and retinal diseases. The AngioAnalytics software feature of AngioVue is indicated for the measurement of vascular density, the foveal avascular zone, the thickness of retinal layers, and nerve fiber layer, and measurement of optic disc parameters in normal subjects with glaucoma and retinal diseases.

    The non-mydriatic color fundus camera of SOLIX™ is an integrated non-contact. high resolution digital imaging component which is suitable for photographing, displaying and storing images of the retina and external areas of the eye to be evaluated under non-mydriatic conditions. The SOLIX™ fundus camera component is indicated for in-vivo viewing of the posterior and external area of the images are intended for use as an aid to clinicians in the evaluation, diagnosis and documentation of ocular health.

    Device Description

    SOLIX is a computer-controlled, ophthalmic imaging system with combined spectral-domain optical coherence tomography (SD-OCT) and non-mydriatic, digital fundus camera. The SD-OCT employs non-invasive, non-contact, low coherence interferometry to acquire crosssectional tomograms of the anterior and posterior segment of the eye and motion-contrast images of the retinal microvasculature (i.e., OCT "angiography" [OCTA]). The fundus camera produces color internal and external ocular images.

    AI/ML Overview

    The provided text details the 510(k) premarket notification for the Optovue SOLIX device, stating its substantial equivalence to predicate devices Avanti and iCam. It includes information on performance testing, but the document does not explicitly state defined acceptance criteria for many of the quantitative measurements (e.g., repeatability limits for OCT and OCTA parameters, quality metrics for fundus photography). Instead, it presents the results of these tests.

    Therefore, the table below will present the reported device performance, and where an indirect acceptance can be inferred (e.g., for comparative image quality), that will be noted.


    1. Table of Acceptance Criteria and Reported Device Performance

    Note: The provided document primarily presents performance results without explicitly listing acceptance criteria with numerical targets for many parameters. Where an inference of acceptance can be made (e.g., general clinical utility, improvements over predicate), it is noted.

    CategoryAcceptance Criteria (Inferred/Reported)Reported Device Performance
    OCT HardwareAchieves similar Signal to Noise Ratio (SNR) as Avanti. Light exposure safety is below all applicable exposure limits.SOLIX with 1.45mW optical power achieves similar SNR as Avanti (0.75mW) due to higher scanner speed. Light exposure safety is below applicable exposure limits per Dr. David Sliney's report. Longer working distance (35mm vs 22mm for retina imaging, 20mm vs 13mm with CAM) improves usability.
    OCT Software (Vessel Density)Improved accuracy for vessel density measurements compared to the predicate device.Improved accuracy was observed from SOLIX vessel density measurements using a local thresholding method (vs. global thresholding in Avanti). For superficial and deep vascular complexes, SOLIX vessel density values tended to be within a smaller range than Avanti XR. Differences are associated with increased scan density and updated algorithm.
    OCT Software (PAR)Further reduction of projection artifacts.SOLIX's PAR is updated to further reduce projection artifacts, as evidenced by qualitative assessment of clinical study data.
    OCT Software (Vessel Extraction)Improved extraction of vessels in relatively low OCTA signal areas.SOLIX's vessel extraction method is updated to extract vessels in low OCTA signal areas, evidenced by bench (phantom) and clinical studies.
    Anterior Segment R&RRepeatability and Reproducibility (R&R) generally comparable or improved to predicate. (No explicit numeric acceptance criteria specified in document, but stability across repeated measurements and between operators is the implicit measure of success). The results are presented in tables for "Normal" and "Cornea" subgroups across various parameters (Epithelia (Epi), Cornea (Pachy), Stroma).For Normal subgroup, repeatability SD for Epithelia (Epi) ranges 0.6-1.2 µm, reproducibility SD 0.7-1.8 µm. For Cornea (Pachy), repeatability SD ranges 1.3-8.8 µm, reproducibility SD 1.9-13.8 µm. For Stroma, repeatability SD ranges 1.0-9.1 µm, reproducibility SD 1.8-14.1 µm. For Cornea subgroup, similar ranges observed. Scan attrition <3% for both devices. Manual edit rate 10.0% for SOLIX vs 14.8% for Avanti XR.
    Posterior Segment R&RRepeatability and Reproducibility for structural and vascular parameters generally comparable or improved to predicate. (No explicit numeric acceptance criteria specified in document).For Normal, Glaucoma, and Retina subgroups, R&R results are tabulated for GCC, Retina Thickness, SVC, and DVC for AngioVue Retina, Retina Cube, and Wellness scans. For disc scans, R&R tabulated for RNFL and ONH parameters. Scan acceptability rates 93.7% to 100%. Manual editing rates for segmentation boundaries were low (e.g., 0.1% for ILM, 5.2% for IPL). Foveal center detection correction rates were low (0.5%-0.7%). FAZ boundary manual editing was 19.7%. Disc margin manual editing 1.5%.
    Fundus Photography Image Quality & UtilityProportions of similar or better quality images and clinically useful images comparable to predicate device.Proportions of SOLIX images graded as similar or better quality compared to iCAM images ranged from 74-89% across subgroups and graders. The proportion of participants with clinically useful images was 97.3% for both SOLIX and iCam.
    Reference Database (RDB)Establish reference limits for structural quantitative parameters (1st, 5th, 95th, 99th percentiles).RDB was generated from 416-426 eligible participants with no ocular pathology. Mean age ~48 years, diverse demographics. Rates of disqualified scans for RDB were low (<5% for macular, <15% for disc-based), mainly due to eye motion. No segmentation boundary editing for qualified RDB scans. Bruch's membrane opening (BMO) editing rate ~8%.
    Non-Clinical PerformanceDevice functions as intended for spatial performance, sensitivity, auxiliary functions. Complies with relevant standards (safety, EMC, usability, biocompatibility, light hazard protection). Software is verified and validated to function as intended and meet safety. Level of concern unchanged.Non-clinical bench tests covered spatial performance, sensitivity, OCT Angiography accuracy (improved for SOLIX), auxiliary functions. Complies with AAMI/ANSI ES60601-1, IEC 60601-1-2, IEC 60601-1-6, ISO 10993-1/5/10, ISO 15004-1/2, ANSI Z80.36-2016. Software V&V according to BS EN 62304:2006 and FDA guidance, demonstrating intended function, acceptance criteria met, overall product and patient safety. Software determined "moderate" level of concern, no change from predicates.

    2. Sample Size Used for the Test Set and Data Provenance

    • Anterior Segment OCT Performance Study:
      • Sample Size: 61 eligible participants (30 "Normal," 31 "Cornea" subgroup).
      • Data Provenance: Prospective, observational study conducted at a single clinical U.S. site.
    • Posterior Segment OCT and OCTA Performance Study:
      • Sample Size: 83 participants completed the study (30 "normal," 25 "Glaucoma," 28 "Retina" subgroup).
      • Data Provenance: Prospective, observational study conducted at a single clinical U.S. site.
    • Fundus Photography Study:
      • Sample Size: Data from 112 participants included (31 "normal," 26 glaucoma, 55 retinal disease). 126 were enrolled, 121 met enrollment criteria.
      • Data Provenance: Prospective, observational study conducted at two clinical sites (country not explicitly specified but implies U.S. given other contexts).
    • Reference Database (RDB) Generation Study:
      • Sample Size: 427 eligible participants (out of 482 enrolled). The number included for each scan pattern ranged from 416 to 426.
      • Data Provenance: Prospective, observational study conducted at five U.S. clinical sites.

    3. Number of Experts Used to Establish Ground Truth and Their Qualifications

    • Anterior Segment OCT & Posterior Segment OCT/OCTA Studies:
      • No external "experts" were formally used to establish ground truth in the sense of adjudication for these quantitative repeatability and reproducibility studies. The metrics (e.g., thickness, density) are generated by the device's algorithms based on the acquired OCT/OCTA data. The study design focused on evaluating the device's consistency and agreement with the predicate. Manual editing of segmentation boundaries and foveal center detection was performed by study personnel, implying expertise in OCT interpretation and anatomy, but specific qualifications are not detailed.
    • Fundus Photography Study:
      • Number of Experts: Three independent graders.
      • Qualifications: "at a third-party reading center." Specific qualifications (e.g., ophthalmologist, Ophthalmic Photographer, years of experience) are not explicitly stated in the provided text.
    • Reference Database (RDB) Generation Study:
      • Ground truth for inclusion criteria was based on clinical examination, fundus photography, and visual field testing, reviewed by clinicians at 5 U.S. clinical sites. Segmentation boundaries and disc margins required manual correction in some cases (e.g., 8% for BMO), implying expert review but specific "number of experts" or their "qualifications" for this aspect are not specified beyond being "study personnel" or "clinicians." The ground truth for the RDB itself is derived from a cohort of normal subjects without significant ocular pathology.

    4. Adjudication Method for the Test Set

    • Anterior Segment OCT & Posterior Segment OCT/OCTA Studies:
      • No formal adjudication method (like 2+1 or 3+1) is described for these quantitative R&R studies. The primary analysis was statistical (ANOVA, Bland-Altman, Deming regression) comparing successive measurements from the device itself and against the predicate. Manual edits for segmentation errors were performed, but the process of who made these edits or if there was a consensus method is not detailed.
    • Fundus Photography Study:
      • Adjudication Method: Images were graded by "three independent graders." It is not explicitly stated whether a consensus method (e.g., 2-out-of-3 majority) was used for conflicting grades, or if individual grader results were reported.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    • Was it done? Yes, for the fundus photography component. The study compared image quality and clinical utility of SOLIX images vs. iCam images, with three independent graders.
    • Effect size of human readers improvement with AI vs. without AI assistance? This study was not designed as an AI-assistance study (human-in-the-loop improving their performance with AI). It was a standalone comparison of the image quality of two devices (SOLIX vs. predicate iCam), where human readers were evaluating the device outputs. Thus, no effect size related to "human readers improving with AI vs. without AI assistance" is provided or applicable here. The study concluded that SOLIX image quality was similar or better, and clinical utility was equivalent to iCam (97.3%).

    6. Standalone (Algorithm Only Without Human-in-the-Loop Performance) Study

    • Was it done? Yes, several aspects of the device's performance were evaluated in a standalone manner:
      • OCT and OCTA Performance Studies (Anterior and Posterior Segments): These evaluated the device's quantitative measurements (repeatability, reproducibility, and agreement with predicate) entirely based on algorithmic outputs. While some manual editing of segmentations was noted, the core performance metrics derived were from the algorithm.
      • OCT Angiography (Vessel Density): A dedicated bench test using 3D digital phantoms was performed to determine the accuracy of SOLIX device software for vessel density measurement. This is a clear standalone performance evaluation.

    7. Type of Ground Truth Used

    • Anterior Segment OCT & Posterior Segment OCT/OCTA Studies (R&R/Agreement):
      • The "ground truth" here is the consistency of the device's own measurements. For agreement, the predicate device (Avanti) served as a comparative reference. The accuracy of measurements like epithelial thickness, corneal pachymetry, GCC thickness, retina thickness, vessel density, RNFL thickness, and ONH parameters are directly calculated by the device's algorithms. Manual corrections of segmentation errors or foveal center detection by presumably expert human reviewers could be considered a form of "expert consensus" for refining the algorithmic output for analysis.
    • Fundus Photography Study (Image Quality/Utility):
      • Expert Consensus: Three independent graders evaluated image quality and clinical utility based on pre-specified grading criteria.
    • Reference Database (RDB) Generation Study:
      • Clinical Diagnosis/Expert Opinion: The ground truth for this set was based on a cohort of "normal subjects without significant ocular pathology" confirmed by clinical examination, fundus photography, and visual field testing, effectively an expert-determined healthy cohort.

    8. Sample Size for the Training Set

    The document does not explicitly provide information about the sample size used for the training set of the algorithms within SOLIX. The studies described are primarily for clinical performance validation and RDB generation, not for training data specifics.

    9. How the Ground Truth for the Training Set Was Established

    As the training set size is not provided, the method for establishing its ground truth is also not detailed in this document. Information regarding the development and training of the algorithms (including how features like PAR, vessel extraction, or segmentation were trained and validated) is typically part of a separate technical documentation.

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