The leading non-invasive assessment of the liver

Get the whole picture of liver health with LiverMultiScan® - a suite of metrics designed to meet the growing demand for liver diagnostics. LiverMultiScan gives physicians key indications of liver tissue characteristics to empower their diagnostic and patient management decisions.

✔ Patient-friendly reports

 

✔ See heterogeneous liver tissue and regional variation

 

✔ Receive reports in as little as 2 hours

 

✔ Delivered through a seamless, cloud-based service

Key Features

Accurate

Accurate and robust quantitative metrics shown to correlate with biopsy1,2,3,4

Patient Focused

Suitable as part of the diagnostic pathway for patients and for clinical trials

Standardised

Standardised across all major MRI manufacturers and field strengths6

Fast

Quick, contrast-free scan 

Prognostic

cT1 predicts clinical outcomes5

Repeatable

cT1 has “best-in-class” repeatability

What is LiverMultiScan?

LiverMultiScan is a non-invasive diagnostic technology for evaluating liver diseases, using multiparametric MRI to non-invasively quantify liver tissue. Combining the information from multiple parametric maps provides a comprehensive analysis of liver tissue, which can be used to aid the diagnosis of liver disorders. This information is provided through software-as-a-service, in an easy-to-read report delivered directly to the physician or sponsor.

Fibro-inflammation (cT1)

Learn more

Correlates of iron (T2*)

Learn more

Liver fat (PDFF)

Learn more

LiverMultiScan is available clinically, with FDA 510(k) clearance and CE marking.

References

Download your version of "A Guide to Interpreting Liver Tissue Characterisation"

  1. Banerjee, R., et al. (2014). J Hepatol60(1), 69–77.
  2. Pavlides, M., et al. (2017). Liver Int,37(7), 1065–1073.
  3. Eddowes, P. J., et al. (2018). Aliment Pharmacol Ther47(5), 631–644.
  4. McDonald, N., et al. (2018). Sci Rep8(1), 9189.
  5. Pavlides, M., et al. (2016). J Hepatol64(2), 308–315.
  6. Bachtiar, V., et al. (2019). PLOS ONE14(4), e0214921.
  7. Harrison, S. A., et al. (2018). PLOS ONE13(9), e0203054.

V2.0.0

V3.0.0

V3.1.0

V3.2.0

V3.3.0

LMS v2
15 Jun 2018

LMS v3
28 May 2019

LMS v3.1 (3)
18 Jul 2019

LMS v3.2
21 Nov 2019

LMS v3.3 (6)
13 Mar 2020

   

LMS v3.1 (4)
23 Jul 2019

 

LMS v3.3 (7)
24 Apr 2020

       

LMS v3.3 (8)
28 Apr 2020

A copy of the instructions can also be obtained by emailing support@perspectum.com. Information on this webpage is intended for Physician/Clinician use only. Instructions for use should be reviewed before interpreting reports outputted by Perspectum devices. If you do not find the literature you seek, please contact support@perspectum.com.