Evidence map›Paper›PMID 38076364›Full record

ArticleJournal of clinical and experimental hepatology

Diagnostic Performance of Abbreviated MRI for HCC Detection in Patients with Non-alcoholic Fatty Liver Disease.

Raghuraman Soundararajan, A B Pooja, Pankaj Gupta, Ajay Gulati, Naveen Kalra, Shravya Singh, Madhumita Premkumar, Sunil Taneja, Vaneet Jearth, Vishal Sharma and 1 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Abbreviated magnetic resonance imaging in hepatocellular carcinoma surveillance: A review.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2024
    Review
  2. Review
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 1 institution in 1 country.

Raghuraman SoundararajanDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
A B PoojaDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Pankaj GuptaDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Ajay GulatiDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Naveen KalraDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Shravya SinghDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Madhumita PremkumarDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Sunil TanejaDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Vaneet JearthDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Vishal SharmaDepartment of Gastroenterology, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Ajay DusejaDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: Hepatocellular carcinoma (HCC) surveillance is recommended in nonalcoholic fatty liver disease (NAFLD)-related cirrhosis. The performance of ultrasound (US) is impaired in NAFLD. This study aimed to evaluate the diagnostic performance of non-contrast abbreviated magnetic resonance imaging (AMRI) for HCC detection in NAFLD. Methods: Consecutive contrast-enhanced magnetic resonance imaging (CE-MRI) scans of NAFLD patients between June 2017 and December 2021 were retrieved. A radiologist extracted and anonymized a noncontrast AMRI dataset comprising T2-weighted, T1-weighted, and diffusion-weighted imaging (DWI) sequences. Two radiologists blinded to CE-MRI reports and treatment details independently reviewed the AMRI for liver lesion and portal vein (PV) characteristics. HCC and malignant PV thrombosis were diagnosed based on the original dynamic CE-MRI diagnostic reports. The diagnostic performance of AMRI and the interobserver agreement for detecting HCC and malignant PV thrombosis were calculated. Results: Seventy-five patients (52 males; mean age (±SD), 56 ± 17.6 years; 61 cirrhotic) were included. Nine patients had HCC (14 HCCs). The sensitivity, specificity, positive predictive value, and negative predictive value of AMRI for detecting HCC were 100%, 93.9%, 69.2%, and 100%, respectively, and malignant PV thrombosis was 100%, 98.5%, 80%, and 100%, respectively. There was substantial interobserver agreement for detecting HCC (kappa = 0.721) and malignant PV thrombosis (kappa = 0.645) on AMRI. Conclusion: AMRI has high diagnostic performance in HCC detection in patients with NAFLD. However, prospective studies must compare the diagnostic performance of AMRI with that of US.

Indexed as

abbreviated magnetic resonance imaginghepatocellular carcinomamagnetic resonance imagingnonalcoholic fatty liver diseaseultrasound

Identifiers

PMID38076364
PMCPMC10709163
OpenAlexW4386258437

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.