Evidence map›Paper›PMID 32206415›Full record

ArticleBiomedical optics express2020

Quantitative phase imaging of stromal prognostic markers in pancreatic ductal adenocarcinoma.

Michael Fanous, Adib Keikhosravi, Andre Kajdacsy-Balla, Kevin W Eliceiri, Gabriel Popescu

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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 at 3 institutions in 1 country.

Michael FanousDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Adib KeikhosraviLaboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin, Madison, WI 53706, USA.
Andre Kajdacsy-BallaDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 61801, USA.
Kevin W EliceiriLaboratory for Optical and Computational Instrumentation, Department of Biomedical Engineering, University of Wisconsin, Madison, WI 53706, USA.ORCID https://orcid.org/0000-0001-8678-670X
Gabriel PopescuDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
University of Illinois Urbana-Champaign · USUniversity of Wisconsin–Madison · USUniversity of Illinois Chicago · US

Funding

Quantitative histopathology for cancer prognosis using quantitative phase imaging on stained tissuesR01CA238191 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ANASTASIO, MARK A, ELICEIRI, KEVIN WILLIAM · 2019 to 2023
$3.1M
High accuracy optical growth assay of 3D cellular systemsR01GM129709 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BASHIR, RASHID · 2019 to 2022
$2.1M
NCI NIH HHS R01 CA238191NIGMS NIH HHS R01 GM129709
6 · The paper itself

Abstract

New quantitative prognostic markers are needed for improved pancreatic ductal adenocarcinoma (PDAC) prognosis. Second harmonic generation microscopy has been used to show that collagen fiber alignment in PDAC is a negative prognostic factor. In this work, a series of PDAC and normal adjacent tissue (NAT) biopsies were imaged with spatial light interference microscopy (SLIM). Quantitative analysis performed on the biopsy SLIM images show that PDAC fiber structures have lower alignment per unit length, narrower width, and are longer than NAT controls. Importantly, fibrillar collagen in PDAC shows an inverse relationship between survival data and fiber width and length (p < 0.05).

Identifiers

PMID32206415
PMCPMC7075600
OpenAlexW3004058879

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.