Evidence map›Paper›PMID 25546176›Full record

Trial reportPloS one2014

DCE-MRI of the liver: reconstruction of the arterial input function using a low dose pre-bolus contrast injection.

Guido H Jajamovich, Claudia Calcagno, Hadrien A Dyvorne, Henry Rusinek, Bachir Taouli

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06265272 (Technical Development and Clinical Validation of a Comprehensive One-stop Shop Assessment of the Cirrhotic Liver With [68Ga]Ga-PSMA-11 PET/MRI), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06265272 recruitingnot on this mapstarted 2023, after this paper: background citation

Technical Development and Clinical Validation of a Comprehensive One-stop Shop Assessment of the Cirrhotic Liver With [68Ga]Ga-PSMA-11 PET/MRI

TypeobservationalSponsorMassachusetts General HospitalRan2023 to 2026Enrolled45ConditionsLiver Cirrhosis, Hepatic Cell Carcinoma, Portal HypertensionArmsInjection of a gadolinium contrast agen, Radiotracer Injection, Imaging
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Guido H JajamovichTranslational and Molecular Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Claudia CalcagnoTranslational and Molecular Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Hadrien A DyvorneTranslational and Molecular Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Henry RusinekDepartment of Radiology, New York University Langone Medical Center, New York, New York, United States of America.
Bachir TaouliTranslational and Molecular Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.

Funding

TRAINING PROGRAM IN CANCER THERAPYT32CA078207 · NCI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI James J Manfredi · 1999 to 2026
$11.6M
Detection of Liver Fibrosis Using IVIM Diffusion and DCE MRI in HCVR01DK087877 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TAOULI, BACHIR · 2010 to 2014
$1.8M
NCI NIH HHS T32 CA078207NCI NIH HHS T32CA78207NIDDK NIH HHS 1R01DK087877NIDDK NIH HHS R01 DK087877
6 · The paper itself

Abstract

purposeTo assess the quality of the arterial input function (AIF) reconstructed using a dedicated pre-bolus low-dose contrast material injection imaged with a high temporal resolution and the resulting estimated liver perfusion parameters. MATERIALS AND

methodsIn this IRB-approved prospective study, 24 DCE-MRI examinations were performed in 21 patients with liver disease (M/F 17/4, mean age 56 y). The examination consisted of 1.3 mL and 0.05 mmol/kg of gadobenate dimeglumine for pre-bolus and main bolus acquisitions, respectively. The concentration-curve of the abdominal aorta in the pre-bolus acquisition was used to reconstruct the AIF. AIF quality and shape parameters obtained with pre-bolus and main bolus acquisitions and the resulting estimated hepatic perfusion parameters obtained with a dual-input single compartment model were compared between the 2 methods. Test-retest reproducibility of perfusion parameters were assessed in three patients.

resultsThe quality of the pre-bolus AIF curve was significantly better than that of main bolus AIF. Shape parameters peak concentration, area under the time activity curve of gadolinium contrast at 60 s and upslope of pre-bolus AIF were all significantly higher, while full width at half maximum was significantly lower than shape parameters of main bolus AIF. Improved liver perfusion parameter reproducibility was observed using pre-bolus acquisition [coefficient of variation (CV) of 4.2%-38.7% for pre-bolus vs. 12.1-71.4% for main bolus] with the exception of distribution volume (CV of 23.6% for pre-bolus vs. 15.8% for main bolus). The CVs between pre-bolus and main bolus for the perfusion parameters were lower than 14%.

conclusionThe AIF reconstructed with pre-bolus low dose contrast injection displays better quality and shape parameters and enables improved liver perfusion parameter reproducibility, although the resulting liver perfusion parameters demonstrated no clinically significant differences between pre-bolus and main bolus acquisitions.

Indexed as

AdultAgedContrast MediaFemaleHepatitisHumansLiverMagnetic Resonance ImagingMaleMeglumineMiddle AgedOrganometallic CompoundsContrast Mediagadobenic acidMeglumineOrganometallic Compounds

Identifiers

PMID25546176
PMCPMC4278725

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Registered trials

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 OpenQuestion graph.