Evidence map›Paper›PMID 31379606›Full record

ArticleFrontiers in physiology2019

Non-invasive Imaging and Modeling of Liver Regeneration After Partial Hepatectomy.

Sara Zafarnia, Anna Mrugalla, Anne Rix, Dennis Doleschel, Felix Gremse, Stephanie D Wolf, Johannes F Buyel, Ute Albrecht, Johannes G Bode, Fabian Kiessling and 1 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

5 citing papers in PubMed.

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

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Sara ZafarniaInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Anna MrugallaInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Anne RixInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Dennis DoleschelInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Felix GremseInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Stephanie D WolfDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Johannes F BuyelFraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany.
Ute AlbrechtDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Johannes G BodeDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Fabian KiesslingInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Wiltrud LederleInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liver has a unique regenerative capability upon injury or partial resection. The regeneration process comprises a complex interplay between parenchymal and non-parenchymal cells and is tightly regulated at different scales. Thus, we investigated liver regeneration using multi-scale methods by combining non-invasive imaging with immunohistochemical analyses. In this context, non-invasive imaging can provide quantitative data of processes involved in liver regeneration at organ and body scale. We quantitatively measured liver volume recovery after 70% partial hepatectomy (PHx) by micro computed tomography (μCT) and investigated changes in the density of CD68

Indexed as

angiogenesisFMT-μCTliver regenerationmacrophagesmodelingnon-invasive imagingpartial hepatectomy

Identifiers

PMID31379606
PMCPMC6652107

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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 OpenQuestion graph.