AASLD 2023
The Liver Meeting®
November 10-14
Breakfast Reception
10 November 2023 | 7 - 9 am
Kicking off the presentations, Prof. Stephen A. Harrison provided an overview focused on the impact of steatosis and liver volume reductions on fibrosis in MASH trials. As certain drugs can potently reduce fat content and liver volumes over short time periods, Prof. Harrison explained how these reductions can potentially impact interpretations of fibrosis if not adequately accounted for. He went on to demonstrate how HistoIndex’s qFibrosis technology incorporates procedures to normalize for these reductions, enabling improved detection of fibrosis changes.
Up next, Dr. Dean Tai shared valuable perspectives stemming from the recent FDA Non-invasive Tests (NITs) biomarker workshop, including remaining gaps that need to be addressed before biomarkers can be assessed as surrogate endpoints in MASH trials.
Some of the key highlights include:
- Effects of steatosis and liver volume reductions on fibrosis assessments
- Data on meaningful collagen parameters that relate better to clinical outcomes, compared to ordinal fibrosis staging
- Role of AI in helping pathologists achieve greater consistency and consensus while identifying ballooned hepatocytes and other features of MASH
- Use of AI to better evaluate fibrosis changes and enrich Phase 3 clinical trials from corresponding Phase 2 data
We are grateful for the insightful presentations and engaging dialogue, and look forward to the next meeting! To learn more, contact us.
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Posters
Assessment of resmetiron-mediated reductions of steatosis and concomitant ballooning utilizing quantitative SHG imaging
Dean Tai, Rebecca Taub, Yayun Ren, Elaine Chng, and Stephen A. Harrison
Differential anti-fibrotic effects of semaglutide and lanifranor demonstrated by AI DP in the biopsy-confirmed GAN BIO-MASH mouse model with advanced fibrosis and HCC
Xiao Teng, Desiree Abdurrachim, Ashmita Saigal, Qiang Yang, Gideon Ho, Malte Hasle Nielsen, Susanne E. Pors, Chih-Liang Chin, Saswata Talukdar, Asad Abu Bakar Ali, and Michael Feigh
Impact of sampling size on variability of fibrosis assessment in liver biopsies using SHG TPE and AI analysis based fibrosis staging
Kutbuddin Akbary, Elaine Chng, Yayun Ren, Dean Tai, Jonathan A. Fallowfield, Timothy J. Kendall, Nikolai V. Naoumov, David E. Kleiner, and Arun J. Sanyal
NITs as continuous measure of hepatic fibrosis in NAFLD
En Ying Tan, Xian Xuan Eunice Tan, Daniel Q Huang, Jonathan Lee, Margaret Li Peng Teng, Nur Halisah Jumat, Dean Tai, Elaine Chng, Yong Young Dan, and Mark Dhinesh Muthiah
Reducing screen failure rates for NASH clinical trials using ballooning and fibrosis assessment with SHG TPE microscopy and AI analysis – results from the TANDEM trial
Naim Alkhouri, Kutbuddin Akbary, Ya-Yun Ren, Dean Tai, Dominique Brees, and Jossy Kochuparampil
Spatial distribution of collagen in MASLD affects levels of N terminal pro-peptide of type III collagen (PRO-C3)
Jörn M. Schattenberg, Maurice Michel, Christian Labenz, Morten A Karsdal, Diana J Leeming, Peder Frederiksen, Elaine Chng, Yayun Ren, Dean Tai, and Beate K. Straub
The concomitant zonal quantification of qSteatosis and qFibrosis using HI AI DP improved detection of liver injury regression post-bariatric surgery
Vlad Ratziu, Raluca Pais, Judith Aron-Wisnewsky, Frédéric Charlotte, Dean Tai, Elaine Chng, Desiree Abdurrachim, Chih-Liang Chin, Saswata Talukdar, and Asad Abu Bakar Ali
Use of multi-parametric measures to differentiate and better assess fibrosis patterns between baselie and EOT patients in NASH clinical trials – Results from the FALCON-1 and 2 clinical trials
Kutbuddin Akbary, Dean Tai, Yayun Ren, Anne Minnich, and Edgar D. Charles
Validation of the HI AI DP platform as an aiding tool to increase pathologist concordance on fibrosis staging in NASH
Desiree Abdurrachim, Serene Lek, Yongqi Zhou, Chun Kit Wong, Charlene Ong, Ashmita Saigal, Radha Krishnan, Geoffrey Walford, Elaine Chng, Dean Tai, Gideon Ho, Annaswamy Raji, Thomas Forest, Richard Baumgartner, Saswata Talukdar, Chih-Liang Chin, Samuel S Engel, Asad Abu Bakar Ali, David E Kleiner, and Arun J Sanyal