Ren, Yayun;
Tai, Dean;
Chng, Elaine;
Akbary, Kutbuddin;
Naoumov, Nikolai;
Fallowfield, Jonathan;
Kendall, Timothy;
... Sanyal, Arun; + view all
(2024)
Evaluation of the Consistency and Heterogeneity of Fibrosis Assessment in Adjacent Virtual Liver Needle Biopsies Using Ai-based qFibrosis.
Presented at: AASLD The Liver Meeting, San Diego, California, USA.
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Abstract
Background: Liver fibrosis serves as a key prognostic indicator in patients with metabolic dysfunction-associated steatohepatitis (MASH) and is a key surrogate endpoint in MASH clinical trials. Despite the increasing application of digital pathology in these trials, which offers quantitative and reproducible assessments of fibrosis dynamics, the impact of needle positioning and serial sectioning on fibrosis assessment remains inadequately addressed. This study evaluates the consistency and heterogeneity of fibrosis assessment in adjacent virtual liver needle biopsies using Second Harmonic Generation/Two Photon Excitation (SHG/TPE) microscopy with artificial intelligence (AI)-based qFibrosis (qF) assessment. // Methods: SHG/TPE microscopy scanned 100 liver samples taken from liver resections or explants in the SteatoSITE cohort, spanning NASH-CRN stages F0 to F4. Two adjacent virtual needle biopsies (VNBs) were extracted from each image, each measuring 0.9 mm in width and 15 mm in length. qF assessment was performed independently for each VNB, focusing on fibrosis areas within 5 liver zones: portal tract (PT), periportal (PP), zone 2 perisinusoidal (PS), pericentral (PC) and central vein (CV). // Results: The qF assessments of both VNBs correlated strongly with NASH-CRN stages, achieving Obuchowski indices of 0.90 and 0.94, respectively. There was substantial agreement between the two VNBs’ qF stages (linear weighted kappa =0.71). 61 samples showed identical qF stages across the adjacent VNBs, with only 1 sample displaying a 2-point discrepancy. Statistical analysis (Wilcoxon signed rank test) confirmed no significant differences in the continuous qF values between the adjacent VNBs, with median difference of 3% (interquartile range: -12% to 13%). Zonal fibrosis differences were also non-significant (p>0.05). Among the zones, PP and PS fibrosis showed the smallest variations - median difference of 0% (-13%, 23%) and -4% (-16%, 14%), respectively. CV fibrosis showed the greatest variability, with a median difference of 5% (-60%, 99%). Conclusion: This systematic analysis confirms that adjacent VNBs are sufficiently reliable for fibrosis assessment using SHG/TPE microscopy. The high consistency observed in fibrosis evaluations across adjacent VNBs supports the reliability of qF as a method for quantitative fibrosis assessment in clinical trials.
Type: | Poster |
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Title: | Evaluation of the Consistency and Heterogeneity of Fibrosis Assessment in Adjacent Virtual Liver Needle Biopsies Using Ai-based qFibrosis |
Event: | AASLD The Liver Meeting |
Location: | San Diego, California, USA |
Dates: | Oct 2024 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://doi.org/10.1097/hep.0000000000001077 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine |
URI: | https://discovery.ucl.ac.uk/id/eprint/10203682 |




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