A View LCS

K201710

Coreline Soft Co., Ltd. · cleared 2020-10-16 · product code LLZ · Radiology

Premarket evidence — what FDA accepted

Device typesamd
source quote (p.3)
AVIEW LCS is intended for the review and analysis and reporting of thoracic CT images for the purpose of characterizing nodules in the lung in a single study, or over the time course of several thoracic studies. Characterizations include nodule type, location of the nodule and measurements such as size (major axis, minor axis), estimated effective diameter from the volume of the nodule, the volume of the nodule, Mean HU (the average value of the CT pixel inside the nodule in HU), Minimum HU, Max HU, mass (mass calculated from the CT pixel value), and volumetric measures (Solid Major; length of the longest diameter measured in 3D for a solid portion of the nodule. Solid 2nd Major: The length of the longest diameter of the solid part, measured in sections perpendicular to the Major axis of the solid portion of the nodule), VDT (Volume doubling time), Lung-RADS (classification proposed to aid with findings) and CAC score and LAA analysis. The system automatically performs the measurement, allowing lung nodules and measurements to be displayed and, also integrate with FDA certified Mevis CAD (Computer-aided detection) (K043617).
Algorithmautomatic nodules detection by integration with 3rd party CAD. Also provides cancer risk based on PANCAN risk model which calculates the malignancy score based on numerical or Boolean inputs. Rule-based automatic processing server (APS). Better segmentation of lungs and lobes based on deep-learning algorithms.
source quote (p.6)
AVIEW LCS is intended for use as diagnostic patient imaging which is intended for the review and analysis of thoracic CT images. Provides following features as semi-automatic nodule measurement (segmentation), maximal plane measure, 3D measure and volumetric measures, automatic nodules detection by integration with 3rd party CAD. Also provides cancer risk based on PANCAN risk model which calculates the malignancy score based on numerical or Boolean inputs. Follow up support with automated nodule matching and automatically categorize Lung-RADS score which is a quality assurance tool designed to standardize lung cancer screening CT reporting and management recommendations that is based on type, size, size change and other findings that is reported. Rule-based automatic processing server (APS). Better segmentation of lungs and lobes based on deep-learning algorithms.
Adaptive (vs locked)FDA source did not state this
PCCPNo
Cybersecurity addressedNo

Validation studies (1)

Bench

sample size not stated

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

48
recalls in product code, 24mo
295
MAUDE reports in code, 12mo
+683%
vs code's own 3-yr baseline
26
drift signals on this device
  • 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

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (PHILIPS MEDICAL SYSTEMS NEDERLAND B.V. Veenpluis 4-6 Best Netherlands, initiated 2026-03-05): "Potential that mis-ordered frames in Vue Motion during dynamic cine runs may cause images frames to display out of sequence." Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98520

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (GE Medical Systems, LLC, initiated 2026-01-30): "There is a potential cybersecurity vulnerability affecting certain versions of Centricity Universal Viewer. User login credentials may be exposed on the local client workstation, w" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98428

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (Focalyx Technologies, LLC., initiated 2025-12-23): "Software device that is an accessory for image-guided interventional and diagnostic procedures involving prostate has accessories that may not function properly with Windows 10, wh" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:98137

  • recall_reason_pattern

    Software/algorithm-related recall in product code LLZ (DICOM Grid, Inc., initiated 2025-11-18): "Software intended to aid in diagnosing conditions, planning treatments, visualizing anatomical structures has a bug that, if all of following are met: Viewing images in InteleShare" Recalling firm is another firm in the same product code.

    first seen 2026-07-08 · recall res_event_number:97993

  • …and 20 more.

Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device). Signals are descriptive observables with sources — never a judgment that the device is unsafe or drifting. Snapshot 2026-07-08.

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).

RIGOR™ Precedent · public FDA/CMS data · descriptive decision-support, not regulatory or reimbursement advice. Share this page: radar.healthai.com/precedent/device/K201710