Evidence mapPaperPMID 39790204Full record

ReviewCardiovascular diagnosis and therapy2024

Challenges in clinical translation of cardiac magnetic resonance imaging radiomics in non-ischemic cardiomyopathy: a narrative review.

Jia Deng, Langtao Zhou, Bihong Liao, Qinxi Cai, Guanghua Luo, Hong Zhou, Huifang Tang

Abstract readReview
In one paragraph

Review in Cardiovascular diagnosis and therapy, 2024. 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

7 authors.

Jia Deng *The First Affiliated Hospital, Department of Radiology, Hengyang Medical School, University of South China, Hengyang, China.
Langtao Zhou *The School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.ORCID https://orcid.org/0000-0002-4290-867X
Bihong Liao *The First Affiliated Hospital, Department of Radiology, Hengyang Medical School, University of South China, Hengyang, China.
Qinxi CaiThe First Affiliated Hospital, Department of Radiology, Hengyang Medical School, University of South China, Hengyang, China.
Guanghua Luo *The First Affiliated Hospital, Department of Radiology, Hengyang Medical School, University of South China, Hengyang, China.
Hong Zhou *The First Affiliated Hospital, Department of Radiology, Hengyang Medical School, University of South China, Hengyang, China.ORCID https://orcid.org/0000-0002-6460-3420
Huifang Tang *The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Radiomics is an emerging technology that facilitates the quantitative analysis of multi-modal cardiac magnetic resonance imaging (MRI). This study aims to introduce a standardized workflow for applying radiomics to non-ischemic cardiomyopathies, enabling clinicians to comprehensively understand and implement this technology in clinical practice. Methods: A computerized literature search (up to August 1, 2024) was conducted using PubMed to identify relevant studies on the roles and workflows of radiomics in non-ischemic cardiomyopathy. Expert discussions were also held to ensure the accuracy and relevance of the findings. Only English-language publications were reviewed. Key Content and Findings: The paper details the essential processes of radiomics, including feature extraction, feature engineering, model construction, and data analysis. It emphasizes the role of MRI in assessing cardiac structure and function and demonstrates how MRI-based radiomics can aid in diagnosing and differentiating non-ischemic cardiomyopathies such as hypertrophic cardiomyopathy, dilated cardiomyopathy, and myocarditis. The study also investigates various cardiac MRI sequences to enhance the clinical application of radiomics. Conclusions: The standardized radiomics workflow presented in this study aims to assist clinicians in effectively utilizing MRI-based radiomics for the diagnosis and management of non-ischemic cardiomyopathies, thereby improving clinical decision-making.

Indexed as

Cardiac magnetic resonance imaging (cardiac MRI)non-ischemic cardiomyopathyradiomics

Identifiers

PMID39790204
PMCPMC11707483

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.