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510(k) Data Aggregation

    K Number
    K232479
    Device Name
    ART-Plan
    Manufacturer
    Date Cleared
    2023-12-22

    (128 days)

    Product Code
    Regulation Number
    892.5050
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K230023, K041403, K102011

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    ART-Plan's indicated target population is cancer patients for whom radiotherapy treatment has been prescribed. In this population, any patient for whom relevant modality imaging data is available.

    ART-Plan is not intended for patients less than 18 years of age.

    The indicated users are trained medical professionals including, but not limited to, radiotherapists, radiation oncologists, medical physicists, dosimetrists and medical professionals involved in the radiation therapy process.

    The indicated use environments are, but not limited to, hospitals, clinics and any health facility involved in radiation therapy.

    Device Description

    The ART-Plan application consists of three key modules: SmartFuse,Annotate and AdaptBox, allowing the user to display and visualise 3D multi-modal medical image data. The user may process, render, review, store, display and distribute DICOM 3.0 compliant datasets within the system and/or across computer networks.

    Compared to Ethos Treatment, 2.1; Ethos Treatment Planning, 1.1 (primary predicate), the following additional feature has been added to ART-Plan v2.1.0:

    • generation of synthetic CT from MR images. This does not represent an additional . claim as the technological characteristics are the same and it does not raise different questions of safety and effectiveness. Also, this feature is already covered by reference and previous version of the device ART-Plan v1.10.1.

    The ART-Plan technical functionalities claimed by TheraPanacea are the following:

    • . Proposing automatic solutions to the user, such as an automatic delineation, automatic multimodal image fusion, etc. towards improving standardization of processes/ performance / reducing user tedious / time consuming involvement.
    • . Offering to the user a set of tools to assist semi-automatic delineation, semi-automatic registration towards modifying/editing manually automatically generated structures and addina/removing new/undesired structures or imposing user-provided correspondences constraints on the fusion of multimodal images.
    • . Presenting to the user a set of visualization methods of the delineated structures, and registration fusion maps.
    • . Saving the delineated structures / fusion results for use in the dosimetry process.
    • . Enabling rigid and deformable registration of patients images sets to combine information contained in different or same modalities.
    • Allowing the users to generate, visualize, evaluate and modify pseudo-CT from MRI and CBCT images.
    • . Allowing the users to generate, visualize and analyze dose on images of CT modality (only within the AdatpBox workflow)
    • . Presenting to the user metrics to define if there is a need for replanning or not.
    AI/ML Overview

    The provided document describes the acceptance criteria and the study that proves the ART-Plan device meets these criteria across its various modules (Autosegmentation, SmartFuse, AdaptBox, Synthetic-CT generation, and Dose Engine).

    Here's a breakdown of the requested information:


    1. Table of Acceptance Criteria and Reported Device Performance

    Autosegmentation Tool

    Acceptance Criteria TypeAcceptance CriteriaReported Device Performance
    Quantitative (DSC)a) DSC (mean) ≥ 0.8 (AAPM criterion) OR
    b) DSC (mean) ≥ 0.54 (inter-expert variability) OR
    DSC (mean) ≥ mean (DSC inter-expert) + 5%Duodenum: DICE diff inter-expert = 1.32% (Passed)
    Large bowel: DICE diff inter-expert = 1.19% (Passed)
    Small bowel: DICE diff inter-expert = 2.44% (Passed)
    Qualitative (A+B%)A+B % ≥ 85% (A: acceptable without modification, B: acceptable with minor modifications/corrections, C: requires major modifications)Right lacrimal gland: A+B = 100% (Passed)
    Left lacrimal gland: A+B = 100% (Passed)
    Cervical lymph nodes VIA: A+B = 97% (Passed)
    Cervical lymph nodes VIB: A+B = 100% (Passed)
    Pharyngeal constrictor muscle: A+B = 100% (Passed)
    Anal canal: A+B = 98.68% (Passed)
    Bladder: A+B = 93.42% (Passed)
    Left femoral head: A+B = 100% (Passed)
    Right femoral head: A+B = 100% (Passed)
    Penile bulb: A+B = 96.05% (Passed)
    Prostate: A+B = 92.10% (Passed)
    Rectum: A+B = 100% (Passed)
    Seminal vesicle: A+B = 94.59% (Passed)
    Sigmoid: A+B = 98.68% (Passed)

    SmartFuse Module (Image Registration)

    Acceptance Criteria TypeAcceptance CriteriaReported Device Performance
    Quantitative (DSC)a) DSC (mean) ≥ 0.81 (AAPM criterion) OR
    b) DSC (mean) ≥ 0.65 (benchmark device)No specific DSC performance values are directly listed for SmartFuse, but the qualitative evaluations imply successful registration leading to acceptable contours.
    Qualitative (A+B%)Propagated Contours: A+B% ≥ 85% for deformable, A+B% ≥ 50% for rigid.
    Overall Registration Output: A+B% ≥ 85% for deformable, A+B% ≥ 50% for rigid.for tCBCT - sCT (Overall Registration Output): Rigid: A+B%=95.56% (Passed); Deformable: A+B%=97.78% (Passed)
    for tsynthetic-CT - sCT (Propagated Contours): Deformable: A+B%=94.06% (Passed)
    for tCT - sSCT (Overall Registration Output): Rigid: A+B%=70.37% (Passed)
    Geometric2) Jacobian Determinant must be positive.
    1. Target Registration Error (TRE)
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    K Number
    K073020
    Date Cleared
    2007-12-19

    (54 days)

    Product Code
    Regulation Number
    892.5050
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K010975, K070978, K021268, K041403, K071783

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Eclipse Treatment Planning System (Eclipse TPS) is used to plan radiotherapy treatments for patients with malignant or benign diseases. Eclipse TPS is used to plan external beam irradiation with photon, electron and proton beams, as well as for internal irradiation (brachytherapy) treatments. In addition, the Eclipse Proton Eye algorithm is specifically indicated for planning proton treatment of neoplasms of the eye.

    Device Description

    The Varian Eclipse™ Treatment Planning System (Eclipse TPS) (K071873) provides software tools for planning the treatment of malignant or benign diseases with radiation. Eclipse TPS is a computer-based software device used by trained medical professionals to design and simulate radiation therapy treatments. Eclipse TPS is capable of planning treatments for external beam irradiation with photon, electron, and proton beams, as well as for internal irradiation, (brachytherapy) treatments.

    AI/ML Overview

    The provided text is a 510(k) Premarket Notification for the Varian Medical Systems, Inc. Eclipse Treatment Planning System (Eclipse TPS). It describes the device, its indications for use, and a comparison to a predicate device. However, this document does not contain any information about acceptance criteria, performance studies, sample sizes, ground truth establishment, or expert involvement as requested in the prompt.

    The document is primarily focused on demonstrating substantial equivalence to a previously cleared device (Eclipse K071873) by comparing their indications for use, algorithm features, and other features.

    Therefore, I cannot fulfill your request for:

    1. A table of acceptance criteria and reported device performance.
    2. Sample sizes for test sets or data provenance.
    3. Number and qualifications of experts for ground truth.
    4. Adjudication method.
    5. MRMC comparative effectiveness study results.
    6. Standalone algorithm performance studies.
    7. Type of ground truth used.
    8. Sample size for the training set.
    9. How ground truth for the training set was established.

    This type of detailed study information is typically found in engineering reports or validation studies submitted as part of the 510(k) application, but it is not commonly included in the publicly available 510(k) summary document itself. The summary focuses on high-level comparisons for substantial equivalence.

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