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Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer?

European Journal of Radiology(2025)10.1016/j.ejrad.2025.111986Source: DataRank Database

Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer? is a research paper published in European Journal of Radiology (2025). On theSindex it has a DataRank of 0.292. It has been cited 6 times, with 3 citing works in its 1-hop citation network.

N/A

0.292DataRank · unranked

Scored on demand from live citation data

Open Access6 citations · 3 citing works in its network

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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 2.74)OA: greenTopics (32)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.292

From this paper's citation signal

Citation Network Contribution

From 0 citing papers with measurable signal

This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.

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Authors (21)

Abdalla Ibrahim ORCID,Akshay Baheti ORCID,Peter Gibbs ORCID,Shannon P. Sheedy,Sonia Lee ORCID

Live enrichment

PubMed:39923594 PMC:PMC11892329 OpenAlex:https://openalex.org/W4407173092

National Institutes of Health National Cancer Institute

Grant: P30 CA008748

National Institutes of Health

FWCI

2.74

Citation Percentile

0.9%

Citation Trend

2025

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11892329/

publisherhttps://api.elsevier.com/content/article/PII:S0720048X25000725?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0720048X25000725?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.ejrad.2025.111986

Fields of Study

Colorectal Cancer Surgical TreatmentsRadiomics and Machine Learning in Medical ImagingColorectal and Anal Carcinomas

MeSH Terms

RadiomicsAdenocarcinomaAdultAgedDiagnosis, DifferentialFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMucinsRectal NeoplasmsRetrospective StudiesSensitivity and SpecificityNeoplasm, Residual

Keywords

MedicineRadiomicsAdenocarcinomaColorectal cancerRadiologyMagnetic resonance imagingMucinPathologyCancerInternal medicineRectal neoplasmsmucinsMachine LearningNeoplasm, Residual

Sustainable Development Goals

SDG 0: Good health and well-being