Evidence map›Paper›PMID 25798303›Full record

ArticleBiomedical optics express2015

Real-time histology in liver disease using multiphoton microscopy with fluorescence lifetime imaging.

Haolu Wang, Xiaowen Liang, Yousuf H Mohammed, James A Thomas, Kim R Bridle, Camilla A Thorling, Jeffrey E Grice, Zhi Ping Xu, Xin Liu, Darrell H G Crawford and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.0field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Evolution of the liver biopsy and its future.Translational gastroenterology and hepatology · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 2 institutions in 1 country.

Haolu WangTherapeutics Research Centre, School of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, QLD 4102, Australia ; Department of Biliary-Pancreatic Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 S. Dongfang Road, Shanghai, 200127, China ; These authors contributed equally to this work.
Xiaowen LiangTherapeutics Research Centre, School of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, QLD 4102, Australia ; These authors contributed equally to this work.
Yousuf H MohammedTherapeutics Research Centre, School of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, QLD 4102, Australia.
James A ThomasDepartment of Gastroenterology, Princess Alexandra Hospital, School of Medicine, The University of Queensland, Woolloongabba, QLD 4102, Australia.
Kim R BridleSchool of Medicine, The University of Queensland, Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, QLD 4120, Australia.
Camilla A ThorlingTherapeutics Research Centre, School of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, QLD 4102, Australia.
Jeffrey E GriceTherapeutics Research Centre, School of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, QLD 4102, Australia.
Zhi Ping XuAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD 4072, Australia.
Xin LiuTherapeutics Research Centre, School of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, QLD 4102, Australia ; xin.liu@uq.edu.au.
Darrell H G CrawfordSchool of Medicine, The University of Queensland, Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, QLD 4120, Australia ; d.crawford@uq.edu.au.
Michael S RobertsTherapeutics Research Centre, School of Medicine, The University of Queensland, Princess Alexandra Hospital, Woolloongabba, QLD 4102, Australia ; School of Pharmacy and Medical Science, University of South Australia, Adelaide, SA 5001, Australia.
Princess Alexandra Hospital · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional histology with light microscopy is essential in the diagnosis of most liver diseases. Recently, a concept of real-time histology with optical biopsy has been advocated. In this study, live mice livers (normal, with fibrosis, steatosis, hepatocellular carcinoma and ischemia-reperfusion injury) were imaged by MPM-FLIM for stain-free real-time histology. The acquired MPM-FLIM images were compared with conventional histological images. MPM-FLIM imaged subsurface cellular and subcellular histopathological hallmarks of live liver in mice models at high resolution. Additional information such as distribution of stellate cell associated autofluorescence and fluorescence lifetime changes was also gathered by MPM-FLIM simultaneously, which cannot be obtained from conventional histology. MPM-FLIM could simultaneously image and quantify the cellular morphology and microenvironment of live livers without conventional biopsy or fluorescent dyes. We anticipate that in the near future MPM-FLIM will be evaluated from bench to bedside, leading to real-time histology and dynamic monitoring of human liver diseases.

Indexed as

(170.3880) Medical and biological imaging(170.6510) Spectroscopy, tissue diagnostics(180.4315) Nonlinear microscopy

Identifiers

PMID25798303
PMCPMC4361433
OpenAlexW2090969025

What OpenQuestion holds

Textmetadata
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.