Autoplaque

K212758

Cedars-Sinai Medical Center: AIM · cleared 2023-05-19 · product code LLZ · Radiology

FDA 510(k) summary for Autoplaque (K212758)

Constat organizes this clearance into predicate context, validation evidence, reported performance, postmarket signals, and reimbursement links. Each extracted claim stays tied to the public FDA source; missing fields remain explicitly unstated.

Validation studies
3
Cited predicates
1
Performance observations
0
Product code
LLZ
Official FDA 510(k) database record ↗FDA 510(k) source PDF ↗

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.5)
“Autoplaque 3.0, a stand-alone software, performs post-processing of coronary Computed Tomography Angiography (CTA) images and measurements of components of images using computerized algorithms. Autoplaque is a workstation-based post processing application. It is a non-invasive diagnostic reading software intended for use by cardiologists and radiologists as an interactive tool for viewing and analyzing cardiac CT data for determining the presence and extent of coronary plaques and luminal stenoses.”
AlgorithmDeep learning-based vessel, plaque and lumen segmentation
source quote (p.6)
“Deep learning-based vessel, plaque and lumen segmentation, which is reviewed and can be edited, if necessary, by the clinician.”
Adaptive (vs locked)FDA source did not state this
PCCPFDA source did not state this
Cybersecurity addressedFDA source did not state this

Validation studies (3)

Reader study (MRMC)

n=201 patients

endpoints: concordance and agreement between clinician expert reader and Autoplaque 3.0 measurements for total plaque volume; concordance and agreement between clinician expert reader and Autoplaque 3.0 measurements for calcified plaque volume; concordance and agreement between clinician expert reader and Autoplaque 3.0 measurements for non-calcified plaque volume; concordance and agreement between clinician expert reader and Autoplaque 3.0 measurements for diameter stenosis

Reader study (MRMC)

n=175 patients

endpoints: concordance and agreement between clinician expert reader and Autoplaque 3.0 measurements for total plaque volume; concordance and agreement between clinician expert reader and Autoplaque 3.0 measurements for calcified plaque volume; concordance and agreement between clinician expert reader and Autoplaque 3.0 measurements for non-calcified plaque volume; concordance and agreement between clinician expert reader and Autoplaque 3.0 measurements for diameter stenosis

Retrospective clinical

n=27 patients

endpoints: clinical performance for total plaque volume; clinical performance for calcified plaque volume; clinical performance for non-calcified plaque volume; clinical performance for diameter stenosis

Reported performance (0 observations)

FDA source did not state a quantitative performance metric — non-reporting is itself the signal.

Each value carries its own analysis unit and task — never compare or pool across devices. Source: 510(k) summary PDF.

Predicate network

Postmarket — what happened after clearance

25
recalls in product code, 24mo
397
MAUDE reports in code, 12mo
+963%
vs code's own 3-yr baseline
30
drift signals on this device
  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (Merge Healthcare, Inc., initiated 2026-07-22): "Software issue may cause measurements to be displayed inaccurately." Recalling firm is another firm in the same product code.

    first seen 2026-09-02 · recall res_event_number:99520

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (FUJIFILM Healthcare Americas Corporation, initiated 2026-07-22): "Software issue may cause the ruler measurement to be inaccurate." Recalling firm is another firm in the same product code.

    first seen 2026-09-02 · recall res_event_number:99529

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (Merge Healthcare, Inc., initiated 2026-06-30): "Merge Healthcare has identified a potential issue that may cause thumbnails from a previously opened patient study to be displayed in the Thumbnail Bar while a different patient st" Recalling firm is another firm in the same product code.

    first seen 2026-09-02 · recall res_event_number:99391

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (Boston Scientific Corporation, initiated 2026-06-19): "Software anomaly occurs when a user adds one or more vials to the cart and subsequently returns to the Activity Calculator to modify one or more input. When a user modifies an inpu" Recalling firm is another firm in the same product code.

    first seen 2026-09-02 · recall res_event_number:99236

  • adverse_event_inflection

    MAUDE adverse-event reports for product code LLZ: 295 in the 12 months ending 2026-06, vs a 37.7/12mo average over the prior 3 windows (+683%). Code-level count — reports are not attributed to this specific device.

    first seen 2026-07-08 · openFDA /device/event.json count=date_received product_code=LLZ

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (GE Medical Systems SCS, initiated 2026-05-08): "GE HealthCare has become aware of a context synchronization issue in AW Server 3.2 ext. 6.5. When a user selects a patient or exam in the AW Server Web Client worklist and launches" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:99042

  • …and 24 more.

Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device); a recall is shown as device-attributed only when the recall record itself lists this clearance number. Signals are descriptive observables with sources — never a judgment that the device is unsafe or drifting. Snapshot 2026-09-02.

Reimbursement — how devices like this got paid

Not yet tracked — no payment pathway indexed for this clearance (the reimbursement corpus is a growing seed set).

Applicable FDA guidance — what the submission is measured against

FDA guidance documents and guiding principles applicable to 510(k) AI/ML devices in the Radiology panel. A curated reference index, not legal or regulatory advice — each item states its own status, and a draft is never binding.

Applicability is derived from the device's FDA advisory panel and pathway — cross-cutting guidances apply to every AI/ML device; panel-specific ones are flagged. Titles, dates, and links verified against fda.gov as of July 2026.

Related FDA clearances

More AI/ML devices under product code LLZ

These are recent clearances in the same FDA product-code category. Shared classification does not by itself make a device an appropriate predicate.

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Constat Precedent · public FDA/CMS data · descriptive decision-support, not regulatory or reimbursement advice. Share this page: constat.dev/precedent/device/K212758