Evidence map›Paper›PMID 38595988›Full record

ArticleJournal of clinical and experimental hepatology

Contrast Enhanced CT Versus MRI for Accurate Diagnosis of Wall-thickening Type Gallbladder Cancer.

Daneshwari Kalage, Pankaj Gupta, Ajay Gulati, Kakivaya P Reddy, Kritika Sharma, Ati Thakur, Thakur D Yadav, Vikas Gupta, Lileswar Kaman, Ritambhra Nada and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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

16 authors at 1 institution in 1 country.

Daneshwari KalageDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Pankaj GuptaDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ajay GulatiDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Kakivaya P ReddyDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Kritika SharmaDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ati ThakurDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Thakur D YadavDepartment of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Vikas GuptaDepartment of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Lileswar KamanDepartment of General Surgery, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ritambhra NadaDepartment of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Harjeet SinghDepartment of Surgical Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Santosh IrrinkiDepartment of General Surgery, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Parikshaa GuptaDepartment of Cytology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Chandan K DasDepartment of Medical Oncology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Usha DuttaDepartment of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Manavjit SandhuDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diagnosis of wall-thickening type gallbladder cancer (GBC) is challenging. Computed tomography (CT) and magnetic resonance imaging (MRI) are commonly utilized to evaluate gallbladder wall thickening. However, there is a lack of data comparing the performance of CT and MRI for the detection of wall-thickening type GBC. Aim: We aim to compare the diagnostic accuracy of CT and MRI in diagnosis of wall-thickening type GBC. Materials and methods: This prospective study comprised consecutive patients suspected of wall-thickening type GBC who underwent preoperative contrast-enhanced CT and MRI. The final diagnosis was based on the histopathology of the resected gallbladder lesion. Two radiologists independently reviewed the characteristics of gallbladder wall thickening at CT and MRI. The association of CT and MRI findings with histological diagnosis and the interobserver agreement of CT and MRI findings were assessed. Results: Thirty-three patients (malignancy, 13 and benign, 20) were included. None of the CT findings were significantly associated with GBC. However, at MRI, heterogeneous enhancement, indistinct interface with the liver, and diffusion restriction were significantly associated with malignancy ( Conclusion: These findings suggest that MRI may be preferred over CT in patients with suspected wall thickening type GBC. However, larger multicenter studies must confirm our findings.

Indexed as

computed tomographygallbladder cancergallbladder wall thickeningmagnetic resonance imaging

Identifiers

PMID38595988
PMCPMC10999705
OpenAlexW4392812862

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.