MRI‐Proton Density Fat Fraction Treatment Response Criteria in Nonalcoholic Steatohepatitis
Open accessAbstract
NASH is one of leading causes of chronic liver disease in the United States.(1) NASH can lead to cirrhosis, end-stage liver disease, and hepatocellular carcinoma and has become one of the leading indications for liver transplant in the United States.(2) Reversal of NASH and improvement of NASH-related fibrosis is a major unmet need in the field of liver disease.Several therapies have shown promise in the treatment of NASH-related fibrosis, but there are no US Food and Drug Administration (FDA)-approved or European Medicines Agency (EMA)-approved therapies.Over the past 10 years, there has been a tremendous increase in the number of agents being evaluated for treatment of NASH-related fibrosis.Both the FDA and EMA have provided guidance regarding regulatory approval for drugs used in the treatment of NASH-related fibrosis.The acceptable endpoints for full approval include progression to cirrhosis, clinical hepatic decompensation, and a MELD score ≥15.However, because of the long natural history of NASH-related fibrosis, a subpart H pathway is provided to show improvement in liver histology as a surrogate endpoint for interim approval while data are being collected for long-term clinical outcomes.These histologic endpoints include ≥1 stage improvement in fibrosis without worsening of NASH and/or resolution of NASH without worsening of fibrosis.Histologic endpoints, although useful, pose significant limitations to clinical drug development in NASH.These limitations include the invasive nature of the liver biopsy assessment, subjective assessment of histology, low intrareader and inter-rater reliability, lack of precision and reproducibility, and long duration required to show a treatment benefit.Therefore, there is a need for a precise, reproducible, accurate biomarker for treatment response, especially in early Phase 1 and 2A trials in which histologic response assessment is impractical and may increase the risk of type 2 errors, i.e., declaring a therapy to be ineffective although it may improve NASH-related fibrosis in a larger and longer trial.(3) Over the last 10 years, many noninvasive tests, both serum and imaging-based biomarkers, have been proposed to assess treatment response in NASH.(4) Among the cadre of these noninvasive biomarkers, MRI-proton density fat fraction (MRI-PDFF) is one of the leading imaging-based biomarkers of assessing antisteatotic benefits of a drug therapy in NASH.(5)
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Non-invasive MASLD assessment by imaging indicated reduction of liver lipid content with tirzepatide treatment.
“Moreover, non-invasive MASLD assessment by imaging methods indicated a reduction of liver lipid content with tirzepatide treatment [131] (Table 1).”
From Obesity and MASLD: Is weight loss the (only) key to treat metabolic liver disease? (2024) · cites this paper as [131]
In the main text (page unavailable), the paper describes MRI-PDFF as a noninvasive imaging method for quantifying liver fat and assessing treatment response in NASH. It does not report an imaging-measured reduction in liver fat with tirzepatide; searches for tirzepatide returned no such passage. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Chalasani, N., Younossi, Z., Lavine, J. E., Charlton, M., Cusi, K., Rinella, M., Harrison, S. A., Brunt, E. M., & Sanyal, A. J. (2018) · Hepatology · doi:10.1002/hep.29367 · Cited by 7,239 · cited 3× · see citing works
“(1) NASH can lead to cirrhosis, end-stage liver disease, and hepatocellular carcinoma and has become one of the leading indications for liver transplant in the United States.”
BackgroundNoninvasive assessment of liver disease in patients with nonalcoholic fatty liver disease
Castera, L., Friedrich-Rust, M., & Loomba, R. (2019) · Gastroenterology · doi:10.1053/j.gastro.2018.12.036 · Cited by 1,494 · cited 6× · see citing works
“(3) Over the last 10 years, many noninvasive tests, both serum and imaging-based biomarkers, have been proposed to assess treatment response in NASH.”
BackgroundMethodInfluentialSelf-citationYounossi, Z. M., Stepanova, M., Ong, J. P., Jacobson, I. M., Bugianesi, E., Duseja, A. K., Eguchi, Y., Wong, V. W., Negro, F., Yilmaz, Y. N., et al. (2018) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2018.05.057 · Cited by 807 · cited 3× · see citing works
“(1) NASH can lead to cirrhosis, end-stage liver disease, and hepatocellular carcinoma and has become one of the leading indications for liver transplant in the United States.”
BackgroundNoninvasive, Quantitative Assessment of Liver Fat by MRI‐PDFF as an Endpoint in NASH Trials
Caussy, C., Reeder, S. B., Sirlin, C. B., & Loomba, R. S. (2018) · Hepatology · doi:10.1002/hep.29797 · Cited by 573 · cited 2× · see citing works
“, declaring a therapy to be ineffective although it may improve NASH-related fibrosis in a larger and longer trial.(3) Over the last 10 years, many noninvasive tests, both serum and imaging-based biomarkers, have been proposed to assess treatment response in NASH.”
BackgroundSelf-citationAdvances in non-invasive assessment of hepatic fibrosis
Loomba, R. S., & Adams, L. A. (2020) · Gut · doi:10.1136/gutjnl-2018-317593 · Cited by 351 · cited 5× · see citing works
“(3) Over the last 10 years, many noninvasive tests, both serum and imaging-based biomarkers, have been proposed to assess treatment response in NASH.”
BackgroundInfluentialSelf-citationStine, J. G., Munaganuru, N., Barnard, A., Wang, J. L., Kaulback, K., Argo, C. K., Singh, S., Fowler, K. J., Sirlin, C. B., & Loomba, R. (2021) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2020.08.061 · Cited by 283 · see citing works
Self-citationJayakumar, S., Middleton, M. S., Lawitz, E. J., Mantry, P. S., Caldwell, S. H., Arnold, H., Mae Diehl, A., Ghalib, R., Elkhashab, M., Abdelmalek, M. F., et al. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2018.09.024 · Cited by 208 · cited 1× · see citing works
“In subsequent multicenter studies with diverse therapies such as selonsertib (ASK-1 inhibitor) and obeticholic acid (farnesoid X receptor agonist), these data were then validated.(7,8) The optimal cut-point that was associated with histologic response was noted to be ≥30% relative reduction in MRI-PDFF.”
MethodSelf-citationPatel, J. R., Bettencourt, R., Cui, J. Y., Salotti, J., Hooker, J. C., Bhatt, A., Hernandez, C., Nguyen, P., Aryafar, H., Valasek, M. A., et al. (2016) · Therapeutic Advances in Gastroenterology · doi:10.1177/1756283x16656735 · Cited by 163 · cited 1× · see citing works
“In a seminal single center study, it was noted that a significant reduction in liver fat by MRI-PDFF is associated with a higher odds of ≥2 point improvement in NAFLD activity score (NAS).(6) NAS ranges from 0 to 8 and is a summary score including steatosis ranging from 0 to 3, lobular inflammation 0 to 2, and balloon…”
BackgroundSelf-citationLoomba, R., Guy, C. D., Bedossa, P., Taub, R. L., Bashir, M., & Harrison, S. (2020) · Journal of Hepatology · doi:10.1016/s0168-8278(20)30656-5 · Cited by 8 · cited 5× · see citing works
“(7,8) The optimal cut-point that was associated with histologic response was noted to be ≥30% relative reduction in MRI-PDFF.”
BackgroundMethodInfluentialSelf-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [8]Loomba R, Neuschwander‐Tetri BA, Sanyal A, Chalasani N, Diehl AM, Terrault N, et al. Multicenter validation of association between decline in MRI‐PDFF and histologic response in nonalcoholic steatohepatitis. Hepatology 2020. 10.1002/hep.31121. [Epub ahead of print] PMC8055244 31965579 · DOI
Cited by
Sorted by citations
Rinella, M. E., Neuschwander-Tetri, B. A., Siddiqui, M. S., Abdelmalek, M. F., Caldwell, S., Barb, D., Kleiner, D. E., & Loomba, R. (2023) · Hepatology · doi:10.1097/hep.0000000000000323 · Cited by 2,667 · see citing works
Self-citationChallenges and opportunities in NASH drug development
Harrison, S. A., Allen, A. M., Dubourg, J., Noureddin, M., & Alkhouri, N. (2023) · Nature Medicine · doi:10.1038/s41591-023-02242-6 · Cited by 353 · see citing works
Non-invasive methods for imaging hepatic steatosis and their clinical importance in NAFLD
Tamaki, N., Ajmera, V. H., & Loomba, R. S. (2021) · Nature Reviews Endocrinology · doi:10.1038/s41574-021-00584-0 · Cited by 254 · see citing works
Self-citationAlkhouri, N., Herring, R., Kabler, H., Kayali, Z., Hassanein, T., Kohli, A., Huss, R. S., Zhu, Y., Billin, A. N., Damgaard, L. H., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2022.04.003 · Cited by 230 · see citing works
Self-citationFlint, A., Andersen, G., Hockings, P., Johansson, L., Morsing, A., Sundby Palle, M., Vogl, T., Loomba, R., & Plum‐Mörschel, L. (2021) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.16608 · Cited by 224 · see citing works
Self-citationLoomba, R., Mohseni, R., Lucas, K. J., Gutierrez, J. A., Perry, R. G., Trotter, J. F., Rahimi, R. S., Harrison, S. A., Ajmera, V., Wayne, J. D., et al. (2021) · Gastroenterology · doi:10.1053/j.gastro.2021.07.025 · Cited by 220 · see citing works
Self-citationObesity and MASLD: Is weight loss the (only) key to treat metabolic liver disease?
Huttasch, M., Roden, M., & Kahl, S. (2024) · Metabolism · doi:10.1016/j.metabol.2024.155937 · Cited by 169 · see citing works
Tamaki, N., Munaganuru, N., Jung, J., Yonan, A. Q., Loomba, R. R., Bettencourt, R., Ajmera, V., Valasek, M. A., Behling, C., Sirlin, C. B., et al. (2022) · Gut · doi:10.1136/gutjnl-2021-324264 · Cited by 130 · see citing works
Self-citationTirzepatide for the treatment of adults with type 2 diabetes: An endocrine perspective
De Block, C., Bailey, C., Wysham, C., Hemmingway, A., Allen, S. E., & Peleshok, J. (2023) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.14831 · Cited by 121 · see citing works
The FGF21 analog pegozafermin in severe hypertriglyceridemia: a randomized phase 2 trial
Bhatt, D. L., Bays, H. E., Miller, M., Cain, J. E., Wasilewska, K., Andrawis, N. S., Parli, T., Feng, S., Sterling, L., Tseng, L., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02427-z · Cited by 121 · see citing works
“…thresholds as it has been established in the literature that a ≥30% relative reduction in MRI-PDFF is associated with histologic response (categorized as a responder) and that a ≥50% relative reduction in MRI-PDFF evokes a substantially higher histologic response (defined as a super responder) 48 .”
Loomba, R., Lawitz, E. J., Frias, J. P., Ortiz-Lasanta, G., Johansson, L., Franey, B. B., Morrow, L., Rosenstock, M., Hartsfield, C. L., Chen, C.-Y., et al. (2023) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(22)00347-8 · Cited by 106 · see citing works
Self-citationDennis, A., Kelly, M., Fernandes, C. C., Mouchti, S., Fallowfield, J. A., Hirschfield, G. M., Pavlides, M., Harrison, S. A., Chakravarthy, M. V., Banerjee, R., et al. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.575843 · Cited by 109 · see citing works
“Analysis of a trial of ezetimibe in NASH showed that PDFF could distinguish histological responders from non-responders (32), which was later characterized as a relative reduction of ~30% liver fat corresponding to a two-point change in NAS (33, 34).”
BackgroundStine, J. G., DiJoseph, K., Pattison, Z., Harrington, A., Chinchilli, V. M., Schmitz, K. H., & Loomba, R. (2023) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000002098 · Cited by 94 · see citing works
Self-citationCho, Y., Rhee, H., Kim, Y.-E., Lee, M., Lee, B.-W., Kang, E., Cha, B., Choi, J.-Y., & Lee, Y.-H. (2022) · BMC Medicine · doi:10.1186/s12916-022-02288-2 · Cited by 73 · see citing works
Javanbakht, M., Fishman, J., Moloney, E., Rydqvist, P., & Ansaripour, A. (2022) · PharmacoEconomics - Open · doi:10.1007/s41669-022-00370-2 · Cited by 43 · see citing works
“[47] ALT alanine aminotransferase, CC compensated cirrhosis, CV cardiovascular, CVD cardiovascular disease, DCC decompensated cirrhosis, GI gastrointestinal, GGT gamma-glutamyl transferase, HCC hepatocellular carcinoma, HDL-C high-density lipoprotein cholesterol, LDL-C lowdensity lipoprotein cholesterol, LT liver tran…”
InfluentialHudson, D., Afzaal, T., Bualbanat, H., AlRamdan, R., Howarth, N., Parthasarathy, P., Al-Darwish, A., Stephenson, E., Almahanna, Y., Hussain, M., et al. (2024) · Therapeutic Advances in Gastroenterology · doi:10.1177/17562848241276334 · Cited by 39 · see citing works
NAFLD in the 21st Century: Current Knowledge Regarding Its Pathogenesis, Diagnosis and Therapeutics
Kounatidis, D., Vallianou, N., Geladari, E., Panoilia, M.-P., Daskou, A., Stratigou, T., Karampela, I., Tsilingiris, D., & Dalamaga, M. (2024) · Biomedicines · doi:10.3390/biomedicines12040826 · Cited by 32 · see citing works
“A reduction in fat fraction of ≥ 30% has been appointed as a useful endpoint in many clinical trials [62,63].”
BackgroundLanthier, N., & Delzenne, N. M. (2022) · Cells · doi:10.3390/cells11172718 · Cited by 34 · see citing works
“The measurement of liver fat content via magnetic resonance imaging has been proposed and is now used in some early-phase phase NASH clinical trials [94,95].”
MethodAlkhouri, N., Tincopa, M. A., Loomba, R. S., & Harrison, S. A. (2021) · Hepatology Communications · doi:10.1002/hep4.1814 · Cited by 25 · see citing works
Self-citationAlkhouri, N., Lazas, D. J., Loomba, R. S., Frías, J. P., Feng, S., Tseng, L., Balic, K., Agollah, G. D., Kwan, T., Iyer, J. S., et al. (2023) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.17709 · Cited by 19 · see citing works
“8,14 In this study, once-weekly treat-ment with pegozafermin 27 mg for 20 weeks was associated with robust beneficial effects on liver histology in subjects with NASH and fibrosis.”
BackgroundSelf-citationPhantoms for Quantitative Body MRI: a review and discussion of the phantom value
Keenan, K. E., Jordanova, K. V., Ogier, S., Tamada, D., Bruhwiler, N., Starekova, J., Riek, J. K., McCracken, P. J., & Hernando, D. (2024) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-024-01181-8 · Cited by 15 · see citing works
“In the field of metabolic dysfunction-associated steatohepatitis (MASH), MRI is a preferred clinical trial tool that can non-invasively measure liver fat (e.g., via PDFF) and fibrosis (e.g., via MRE) [78].”
BackgroundMathur, A., Ozkaya, E., Rosberger, S., Sigel, K. M., Doucette, J. T., Bansal, M. B., & Taouli, B. A. (2025) · European Radiology · doi:10.1007/s00330-025-11533-0 · Cited by 17 · see citing works
“Importantly, MRI-PDFF is frequently used as an endpoint for MASH clinical trials as a 30% reduction in MRI-PDFF has been associated with histological response and MASH resolution [35, 36].”
Beyer, C., Andersson, A., Shumbayawonda, E., Alkhouri, N., Banerjee, A., Pandya, P., Harisinghani, M., Corey, K. E., Dennis, A., & Pansini, M. (2024) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29610 · Cited by 15 · see citing works
“16 Change in liver fat using PDFF is commonly reported as the relative reduction from baseline with a drop of ≥ 30% associated with increased odds of meeting a meaningful change based on histological endpoints.”
Lee, H. A., Moon, H., Kim, Y., Lee, J. K., Lee, H. A., & Kim, H. Y. (2025) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2024.06.051 · Cited by 9 · see citing works
Fat quantification: Imaging methods and clinical applications in cancer.
Yan, S.-Y., Yang, Y.-W., Jiang, X.-Y., Hu, S., Su, Y.-Y., Yao, H., & Hu, C.-H. (2023) · European Journal of Radiology · doi:10.1016/j.ejrad.2023.110851 · Cited by 8 · see citing works
Strobel, K. M., Kafalı, S. G., Shih, S., Artura, A. M., Masamed, R., Elashoff, D. A., Wu, H. H., & Calkins, K. L. (2022) · Journal of Perinatology · doi:10.1038/s41372-022-01549-5 · Cited by 7 · see citing works
Advances and Emerging Therapies in the Treatment of Non-alcoholic Steatohepatitis
Brennan, P. N., The University of Edinburgh, C. F. R. M., NHS Tayside, N. H. A. M. S., The University of Dundee, D. O. M. A. C. M., Dillon, J. F., NHS Tayside, N. H. A. M. S., The University of Dundee, D. O. M. A. C. M., McCrimmon, R., NHS Tayside, N. H. A. M. S., & The University of Dundee, D. O. M. A. C. M. (2022) · European Endocrinology · doi:10.17925/ee.2022.18.2.148 · Cited by 3 · see citing works
Tsutsumi, T., Tang, N. S. Y., Ng, C. H., Suzuki, H., Syn, N. L., Sasikumar, N. A., Ho, G. J. K., Chua, D., Tioh, J. K., Pramotedham, T., et al. (2026) · Med · doi:10.1016/j.medj.2026.101077 · Cited by 1 · see citing works
Ye, J.-Z., Lin, Y., Shao, C.-X., Sun, Y.-H., Feng, S., & Zhong, B. (2023) · Annals of Nutrition and Metabolism · doi:10.1159/000530531 · Cited by 3 · see citing works
Chan, S. M., Hong, C. W., Ceriani, L., Dhyani, M., Fowler, K. J., Middleton, M. S., Pierce, T. T., Pickhardt, P. J., Reeder, S. B., Samir, A. E., et al. (2026) · American Journal of Roentgenology · doi:10.2214/ajr.26.34836 · Cited by 2 · see citing works
Kim, W. (2021) · Alimentary Pharmacology and Therapeutics · doi:10.1111/apt.16641 · Cited by 1 · see citing works
de Souza, M. H. G., Al‐Sharif, L., Khalil, S. M., & Diaz, I. (2025) · Journal of Clinical and Experimental Hepatology · doi:10.1016/j.jceh.2025.103173
- Authors
- Loomba, R.
- Affiliations
- University of California San Diego (US)
- Corresponding author
- Loomba, Rohit
- ORCID
- Loomba, Rohit
- Venue
- Hepatology
- Published
- 2021-03
- Volume
- 73
- Issue
- 3
- Pages
- 881-883
- ISSN
- 0270-9139 (ISSN-L)
- 1527-3350
- PMC
- PMC8221026
- OpenAlex
- W3103169657
- Cited by
- 36
- References
- 9
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 7 · 2023: 6 · 2022: 10 · 2021: 9
- FWCI
- 4.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Hepatology (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Defense (W81XWH, W81XWH-18)
- National Institutes of Health (UL1TR001442)
- National Institute on Alcohol Abuse and Alcoholism (U01AA029019)
- National Heart, Lung, and Blood Institute (P01HL147835)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK124318, R01DK121378, R01DK106419, P30DK120515, U01DK061734)
- National Institute of Environmental Health Sciences (P42ES010337)
- National Center for Advancing Translational Sciences
- DOD Peer Reviewed Cancer Research Program (W81XWH‐18‐2‐0026)
- Topics
- Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Hepatology › Liver Diseases and Immunity
- Keywords
- nonalcoholic steatohepatitis, proton density fat fraction, treatment response criteria, non-invasive biomarkers, surrogate endpoints, liver histopathology, drug development
- MeSH terms
- Adipose Tissue, Clinical Trials as Topic, Humans, Liver, Magnetic Resonance Imaging, Protons, Biomarkers, Treatment Outcome, Non-alcoholic Fatty Liver Disease
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review