Evidence map›Paper›PMID 29235486›Full record

ArticleScientific reports2017

Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model.

Satyam Ghodasara, Shivani Pahwa, Sara Dastmalchian, Vikas Gulani, Yong Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
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 at 2 institutions in 1 country.

Satyam GhodasaraDepartment of Radiology, Case Western Reserve University, and University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Shivani PahwaDepartment of Radiology, Case Western Reserve University, and University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Sara DastmalchianDepartment of Radiology, Case Western Reserve University, and University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Vikas GulaniDepartment of Radiology, Case Western Reserve University, and University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Yong ChenDepartment of Radiology, Case Western Reserve University, and University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA. yxc235@case.edu.
Case Western Reserve University · USUniversity Hospitals of Cleveland · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
Comprehensive quantitative ultrafast 3D liver MRIR01DK098503 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI GULANI, VIKAS, SEIBERLICH, NICOLE · 2013 to 2017
$2.6M
Optimization of MR Fingerprinting (MRF) for Quantitative MRIR01EB016728 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI GRISWOLD, MARK, GULANI, VIKAS · 2014 to 2017
$2.0M
NCATS NIH HHS KL2 TR000440NCATS NIH HHS UL1 TR000439NIBIB NIH HHS R01 EB016728NIDDK NIH HHS R01 DK098503
6 · The paper itself

Abstract

The purpose of this study is to test the feasibility of applying a dual-input two-compartment liver perfusion model to patients with different pathologies. A total of 7 healthy subjects and 11 patients with focal liver lesions, including 6 patients with metastatic adenocarcinoma and 5 with hepatocellular carcinoma (HCC), were examined. Liver perfusion values were measured from both focal liver lesions and cirrhotic tissues (from the 5 HCC patients). Compared to results from volunteer livers, significantly higher arterial fraction, fractional volume of the interstitial space, and lower permeability-surface area product were observed for metastatic lesions, and significantly higher arterial fraction and lower vascular transit time were observed for HCCs (P < 0.05). Significantly lower arterial fraction and higher vascular transit time, fractional volume of the vascular space, and fractional volume of the interstitial space were observed for metastases in comparison to HCCs (P < 0.05). For cirrhotic livers, a significantly lower total perfusion, lower fractional volume of the vascular space, higher fractional volume of the interstitial space, and lower permeability-surface area product were noted in comparison to volunteer livers (P < 0.05). Our findings support the possibility of using this model with 3D free-breathing acquisitions for lesion and diffuse liver disease characterization.

Indexed as

Models, BiologicalAdenocarcinomaAgedContrast MediaFeasibility StudiesFemaleFibrosisHumansImaging, Three-DimensionalLiverLiver DiseasesMagnetic Resonance ImagingMaleMiddle AgedPerfusion ImagingRespirationContrast Media

Identifiers

PMID29235486
PMCPMC5727493
OpenAlexW2774420288

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.