Hepatica v1 (Hepatica v1.0.0)

Hepatica v1 is a medical device software intended to assist in evaluating liver health by processing MRI datasets to generate 3D segmented liver models and quantify volumetric data, iron-corrected T1 (cT1), and Proton Density Fat Fraction (PDFF) on a segmental basis. Its methodology relies on semi-automatic segmentation techniques based on Couinaud anatomy and the IDEAL method for cT1/PDFF (which can be imported from its predicate), providing clinicians with quantitative metrics of liver tissue characteristics to support clinical assessment and potentially surgical decision making.

Hepatica v1 is a post-processing medical device software designed to contribute to the assessment of a patient's liver health. Utilizing DICOM 3.0 compliant magnetic resonance image datasets, it employs image visualization and analysis tools to produce semi-automatic segmented 3D models of the liver, structured according to Couinaud segments and the Brisbane 2000 terminology. For each identified segment, the software determines and reports volumetric data, and it can also report iron-corrected T1 (cT1) and Proton Density Fat Fraction (PDFF) calculated via the IDEAL method from multi-slice acquisitions on a per-segment basis, offering numerical values of fundamental liver tissue characteristics. The information provided by Hepatica v1 aims to give trained clinicians additional data for evaluating liver volume and health segmentally, potentially supporting surgical decision-making, though it is not intended to replace existing diagnostic procedures. Performance testing was conducted using previously acquired in-vivo data from volunteers, comparing its accuracy for volume, cT1, and PDFF measurements against a gold standard (radiologists). The results indicated that Hepatica v1's metrics are comparable to the gold standard, its volumetric measurements are highly repeatable and reproducible, operator-induced variation is within acceptable limits, and its cT1 and PDFF measurements meet the acceptance criteria established for its predicate device, LiverMultiScan (LMSv4), from which cT1 and PDFF data may be imported.

AI Regulatory Concerns

Powered by

Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

• Q1. How does the semi-automatic segmentation accuracy of Hepatica v1 compare to fully manual segmentation by expert radiologists, particularly in livers with complex pathologies or anatomical variations?; What is the sensitivity of Hepatica v1's volumetric, cT1, and PDFF measurements to variations in MRI acquisition protocols or scanner hardware not explicitly listed as supported?; In what specific clinical scenarios (e.g., pre-operative planning for liver resection, monitoring focal lesions, assessing diffuse liver disease) has Hepatica v1 demonstrated the most significant clinical utility or impact on patient management?; How does Hepatica v1 account for potential confounders such as motion artifacts, partial volume effects, or atypical iron deposition patterns when calculating cT1 and PDFF values on a segmental basis?; What are the performance characteristics of Hepatica v1 in longitudinal studies, particularly regarding the reproducibility of segmental volume and tissue characterization changes over time?