Evidence map›Paper›PMID 41925845›Full record

ArticleAbdominal radiology (New York)2026

Impact of hepatic steatosis and MOLLI acquisition parameters on liver T1 estimates.

Amol S Pednekar, Anandh Kilpattu Ramaniharan, Joshua S Greer, Pradipta Debnath, Andrew T Trout, Jonathan R Dillman, Mary Kate Manhard

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Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Amol S PednekarDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.
Anandh Kilpattu RamaniharanDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.
Joshua S GreerDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.
Pradipta DebnathDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.
Andrew T TroutDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.
Jonathan R DillmanDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.
Mary Kate ManhardDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, USA. marykate.manhard@cchmc.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the influence of hepatic fat content and sequence acquisition parameters on Modified Look-Locker Inversion Recovery (MOLLI)-based liver T1 estimates, comparing balanced steady-state free precession (bSSFP) and spoiled gradient recalled echo (SPGR) readouts under in-phase (IP), opposed-phase (OP), and fat-suppressed (FS) conditions.

methodsTwenty participants (5 controls, 11 with hepatic steatosis, 4 with other chronic liver diseases; median age 15 years, range 10-28) underwent abdominal MRI at 1.5T. Six single-slice MOLLI acquisitions (bSSFP and SPGR; IP, OP, FS) were performed to obtain hepatic T1 maps. A 3D multi-echo confounder-corrected chemical shift encoded (mDIXON Quant

resultsLiver PDFF ranged from 1 to 43% (median 4.6%). Agreement between bSSFP and SPGR T1 estimates was excellent (ICC ≥ 0.90), though SPGR estimated higher T1 values than bSSFP by 30-60 ms, with greater variability. T1-OP differed significantly from T1-IP and T1-FS (both p < 0.0001) and showed significant PDFF-related mean difference, in line with simulation results, while T1-FS and T1-IP estimates showed excellent agreement (ICC ≥ 0.89). Regression analysis showed that bSSFP T1-OP correlated very strongly with PDFF (r = 0.81; +7.8 ms/%PDFF), whereas T1-IP showed a strong negative correlation (r = - 0.79; - 5.0 ms/%PDFF), and T1-FS demonstrated only a moderate negative correlation (r=-0.48; -3.1ms/%PDFF). SPGR based T1 estimates exhibited similar correlations with PDFF. In participants without steatosis, T1 values were consistent across all acquisitions.

conclusionLiver MOLLI T1 estimates are strongly influenced by hepatic fat content and acquisition parameters, particularly for OP acquisitions. IP and FS MOLLI acquisitions provide more reliable estimates across fat fractions. These findings support prioritization of IP or FS strategies in clinical and research liver T1 mapping protocols and underscore the need for fat-corrected or water-specific approaches.

Indexed as

Fatty LiverImage Interpretation, Computer-AssistedMagnetic Resonance ImagingAdolescentAdultChildContrast MediaFemaleHumansMaleYoung AdultContrast MediaProton density fat fraction (PDFF)Quantitative magnetic resonance imagingSteatotic liver diseaseT1 mapping

Identifiers

PMID41925845
PMCPMC13577970

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.