Evidence map›Paper›PMID 40297115›Full record

ReviewThe Indian journal of radiology & imaging2025

Update on the Role of Imaging in the Diagnosis, Staging, and Prognostication of Gallbladder Cancer.

Pratyaksha Rana, Daneshwari Kalage, Raghuraman Soundararajan, Pankaj Gupta

Abstract readReview
In one paragraph

Review in The Indian journal of radiology & imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Pratyaksha RanaDepartment of Radiology, U. N. Mehta Institute of Cardiology and Research Centre, Ahmedabad, Gujarat, India.
Daneshwari KalageDepartment of Radiology, SDM College of Medical Sciences and Hospital, Dharwad, Karnataka, India.
Raghuraman SoundararajanDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Nagpur, Nagpur, Maharashtra, India.
Pankaj GuptaDepartment of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID 0000-0003-3914-3757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gallbladder cancer (GBC) is a highly aggressive malignancy with dismal prognosis. GBC is characterized by marked geographic predilection. GBC has distinct morphological types that pose unique challenges in diagnosis and differentiation from benign lesions. There are no specific clinical or serological markers of GBC. Imaging plays a key role not only in diagnosis and staging but also in prognostication. Ultrasound (US) is the initial test of choice that allows risk stratification in wall thickening and polypoidal type of gallbladder lesions. US findings guide further investigations and management. Computed tomography (CT) is the test of choice for staging GBC as it allows comprehensive evaluation of the gallbladder lesion, liver involvement, lymph nodes, peritoneum, and other distant sites for potential metastases. Magnetic resonance imaging (MRI) and magnetic resonance cholangiopancreatography allow better delineation of the biliary system involvement. Contrast-enhanced US and advanced MRI techniques including diffusion-weighted imaging and dynamic contrast-enhanced MRI are used as problem-solving tools in cases where distinction from benign lesion is challenging at US and CT. Positron emission tomography is also used in selected cases for accurate staging of the disease. In this review, we provide an up-to-date insight into the role of imaging in diagnosis, staging, and prognostication of GBC.

Indexed as

artificial intelligencecomputed tomographydeep learninggallbladder cancermagnetic resonance imagingultrasound

Identifiers

PMID40297115
PMCPMC12034421

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.