
Sign up to save your podcasts
Or


Send us a text
Alina Allen of the Mayo Clinic joins the Surfers to discuss her recent publication demonstrating that kPa scores from MR Elastography can predict the course of disease for non-cirrhotic and cirrhotic patients and consider its implications for clinical trials and every day patient treatment.
This episode has an unusual format. First, Alina Allen discusses her study and its implications with Louise Campbell and Roger Green. Next, Roger interviews Stephen Harrison on what he considers most important about the study and any comments on the transcript. Finally, Roger and Alina explore one remaining issue.
What emerges is an understanding that the importance of shifting from what Alina calls the "box" of looking for a fixed relationship between fibrosis levels and kPa scores to defining a linear relationship. The linear relationship simultaneously creates multiple questions for academic reason and provides a simple way for the clinician to inform the patient about level of risk therapeutic options and next decisions. This is an exciting, vitally important shift both in trials and the clinic.
By SurfingNASH.com3.9
2424 ratings
Send us a text
Alina Allen of the Mayo Clinic joins the Surfers to discuss her recent publication demonstrating that kPa scores from MR Elastography can predict the course of disease for non-cirrhotic and cirrhotic patients and consider its implications for clinical trials and every day patient treatment.
This episode has an unusual format. First, Alina Allen discusses her study and its implications with Louise Campbell and Roger Green. Next, Roger interviews Stephen Harrison on what he considers most important about the study and any comments on the transcript. Finally, Roger and Alina explore one remaining issue.
What emerges is an understanding that the importance of shifting from what Alina calls the "box" of looking for a fixed relationship between fibrosis levels and kPa scores to defining a linear relationship. The linear relationship simultaneously creates multiple questions for academic reason and provides a simple way for the clinician to inform the patient about level of risk therapeutic options and next decisions. This is an exciting, vitally important shift both in trials and the clinic.

32,304 Listeners

30,807 Listeners

9,749 Listeners

104 Listeners

21,250 Listeners

3,375 Listeners

113,521 Listeners

57,033 Listeners

9,577 Listeners

8,704 Listeners

10,275 Listeners

6,470 Listeners

0 Listeners

419 Listeners

683 Listeners