Liver Suite

GE HealthCare
Liver Suite Model Card
Product Details
Model Identifier
Manufacturer
GE HealthCare
Product
Liver Suite
Version
Unknown
Date Cleared
05/02/2022
FDA Submission No.
Category
MIMPS
Model Characteristics
Inclusion Criteria
CT Liver
Exclusion Criteria
Unknown
Instructions for Use
Not available
Indications for Use
Indication of Use
Liver Suite is an aiding tool for the clinician to review multi-phase liver CT images following LI-RADS® guidelines. Liver Suite is designed to help analyzing liver lesions in patients with known or suspected hepatocellular carcinoma (HCC). It provides optimized series display and a guided workflow to assess relevant clinical features for user-defined observations, to enable computation of a LI-RADS score. It is intended for use by healthcare professionals. The clinician remains ultimately responsible for the final assessment and diagnosis based on state-of-the-art practices, clinical judgment and interpretation of liver images or quantitative data.
Intended User
Clinicians
Age
Unknown
Anatomy
Abdomen
Modality
CT
Output
Automatic characterization of the lesion volume based on maximum 2D diameter given manually by the user. User can review and edit the contour. Once accepted, the following statistics are available: - lesion volume - lesion 2D max and short axis - lesion HU values (min, max, average, standard deviation) - 3 intensity metrics: Arterial Phase Hyper Enhancement (APHE), Washout and Capsule based on analysis of intensity enhancement differences between the lesion and adjacent parenchyma. User sets LI-RADS major and ancillary features in workflow panel to enable computation of the associated LI-RADS score.
Details on Training Data Sets
Details on Training Data Sets
No. of Cases
Unknown
Age Range (Years)
Unknown
Sex (%)
  • Female: Unknown
  • Male: Unknown
  • Unknown: Unknown
Output
Unknown
Race (%)
  • White: Unknown
  • Black or African American: Unknown
  • American Indian or Alaska Native: Unknown
  • Asian: Unknown
  • Native Hawaiian or Other Pacific Islander: Unknown
  • Unknown: Unknown
Ethnicity (%)
  • Hispanic or Latino: Unknown
  • Not Hispanic or Latino: Unknown
  • Unknown: Unknown
Geographic Region (%)
  • USA: Unknown
  • International: Unknown
  • Unknown: Unknown
Scanner Manufacturer(s)
Unknown
Scanner Model(s)
Unknown
Model Performance
Study Type
Performance Testing Type
Unknown
Standalone Model Performance
Reference Standard (Ground Truth)
N/A
No. of Cases
N/A
Age Range (Years)
N/A
Sex (%)
  • Female: N/A
  • Male: N/A
  • Unknown: N/A
Race (%)
  • White: N/A
  • Black or African American: N/A
  • American Indian or Alaska Native: N/A
  • Asian: N/A
  • Native Hawaiian or Other Pacific Islander: N/A
  • Unknown: N/A
Ethnicity (%)
  • Hispanic or Latino: N/A
  • Not Hispanic or Latino: N/A
  • Unknown: N/A
Geographic Region (%)
  • USA: N/A
  • International: N/A
  • Unknown: N/A
Output
N/A
Scanner Manufacturer(s)
N/A
Scanner Model(s)
N/A
No. of Sites
N/A
Model Accuracy
N/A
Model Sensitivity
N/A
Model Specificity
N/A
Reader Study Performance
No. of Readers
N/A
No. of Cases
N/A
No. of Sites
N/A
Output
N/A
Age Range (Years)
N/A
Sex (%)
  • Female: N/A
  • Male: N/A
  • Unknown: N/A
Race (%)
  • White: N/A
  • Black or African American: N/A
  • American Indian or Alaska Native: N/A
  • Asian: N/A
  • Native Hawaiian or Other Pacific Islander: N/A
  • Unknown: N/A
Ethnicity (%)
  • Hispanic or Latino: N/A
  • Not Hispanic or Latino: N/A
  • Unknown: N/A
Geographic Region (%)
  • USA: N/A
  • International: N/A
  • Unknown: N/A
Scanner Manufacturer(s)
N/A
Scanner Model(s)
N/A
Model Accuracy
N/A
Model Sensitivity
N/A
Model Specificity
N/A
Model Limitations, Warnings, & Precautions
Model Limitations, Warnings, & Precautions
Supported Scanner Manufacturer(s)
All
Slice Thickness
Unknown
Contrast Use
Unknown
MRI Field Strength
Unknown
Reconstruction Kernel Used
Unknown
Alternative Choices
Alternative Choices
Previous Version(s)
Unknown
Contact Information
Contact Information
Point of Contact Name
Unknown
Email
Unknown
Additional Details
Related Use Cases
Unknown
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