Evidence map›Paper›PMID 27845245›Full record

ArticleMagnetic resonance imaging2017

MR elastography of hepatocellular carcinoma: Correlation of tumor stiffness with histopathology features-Preliminary findings.

Scott M Thompson, Jin Wang, Vishal S Chandan, Kevin J Glaser, Lewis R Roberts, Richard L Ehman, Sudhakar K Venkatesh

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
3.3field-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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. [Research advances of magnetic resonance elastography for assessing the bioinvasiveness in hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Development of three-dimensional integral-type reconstruction formula for magnetic resonance elastography.International journal of computer assisted radiology and surgery · 2021
    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

7 authors at 1 institution in 1 country.

Scott M ThompsonDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States.
Jin WangDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States.
Vishal S ChandanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States.
Kevin J GlaserDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States.
Lewis R RobertsDivision of Gastroenterology and Hepatology, Department of Medicine, College of Medicine, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States.
Richard L EhmanDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States.
Sudhakar K VenkateshDepartment of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States. Electronic address: Venkatesh.Sudhakar@mayo.edu.
Mayo Clinic · US

Funding

Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
Magnetic Resonance ElastographyR01EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2003 to 2013
$3.1M
NIBIB NIH HHS R01 EB001981NIBIB NIH HHS R37 EB001981
6 · The paper itself

Abstract

purposeTo determine if tumor stiffness by MR Elastography (MRE) is associated with hepatocellular carcinoma (HCC) pathologic features. MATERIAL AND

methodsA retrospective review was undertaken of all patients with pathologically confirmed HCC who underwent MRE prior to loco-regional therapy, surgical resection or transplant between 1/1/2007 to 12/31/2015. An independent observer measured tumor stiffness (kilopascals, kPa) by drawing regions of interest (ROI) covering the HCC and in the case of HCCs with non-enhancing/necrotic components, only the solid portion was included in the ROI. HCC tumor grade (WHO criteria), vascular invasion and tumor encapsulation were assessed from retrievable pathology specimens by an expert hepatobiliary pathologist. Tumor stiffness was compared by tumor grade, size, presence of capsule and vascular invasion using Student's t-test (or Exact Mann-Whitney test).

results21 patients were identified who had pathologically confirmed HCCs and tumor MRE data. 17 patients (81.0%) had underlying chronic liver disease. The mean±SD tumor size (cm) was 5.3±3.9cm. The mean±SD tumor stiffness was 5.9±1.4kPa. Tumors were graded as well differentiated (N=2), moderately differentiated (N=11) and poorly differentiated (N=8). There was a trend toward increased tumor stiffness in well/moderately differentiated HCCs (6.5±1.2kPa; N=13) compared to poorly differentiated HCCs (4.9±1.2kPa; N=8) (p<0.01). There was no significant correlation between tumor stiffness and liver stiffness or tumor size. There was no significant difference in tumor stiffness by presence or etiology of chronic liver disease, vascular invasion or tumor encapsulation.

conclusionPreliminary data suggest that tumor stiffness by MRE may be able to differentiate HCC tumor grade.

Indexed as

Elasticity Imaging TechniquesMagnetic Resonance ImagingAdultAgedCarcinoma, HepatocellularFemaleHumansImage Processing, Computer-AssistedLiver NeoplasmsMaleMiddle AgedObserver VariationRetrospective StudiesHCCHepatocellular carcinomaMREMR elastographyTumor grade

Identifiers

PMID27845245
PMCPMC5587120
OpenAlexW2553512653

What OpenQuestion holds

Textmetadata
LicenceTDM
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.