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Feasibility of using CT radiomic signatures for predicting CD8-T cell infiltration and PD-L1 expression in renal cell carcinoma

European Journal of Radiology Open(2022)10.1016/j.ejro.2022.100440Source: DataRank Database

Feasibility of using CT radiomic signatures for predicting CD8-T cell infiltration and PD-L1 expression in renal cell carcinoma is a research paper published in European Journal of Radiology Open (2022). On theSindex it has a DataRank of 0. It has been cited 13 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access13 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (10 grants)Impact (FWCI 1.30)OA: goldTopics (30)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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Authors (16)

Steven Cen ORCID,Haris Zahoor,Imran Siddiqui ORCID,Manju Aron,Akash Sali ORCID

Live enrichment

PubMed:36090617 PMC:PMC9460152 OpenAlex:https://openalex.org/W4294266034

American Cancer Society

Grant: IRG \u201316-181-57

NHGRI NIH HHS

Grant: R21 HG011506

NCI NIH HHS

Grant: R21 CA260082

NCI NIH HHS

Grant: K01 CA229995

NCATS NIH HHS

Grant: UL1 TR001855

Wellcome Trust

Grant: unidentified

unidentified

National Institutes of Health

American Cancer Society

Southern California Clinical and Translational Science Institute

National Center for Advancing Translational Sciences

FWCI

1.30

Citation Percentile

0.8%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.ejro.2022.100440

publisherhttps://doi.org/10.1016/j.ejro.2022.100440

publisherhttps://api.elsevier.com/content/article/PII:S2352047722000478?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2352047722000478?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36090617

Fields of Study

Radiomics and Machine Learning in Medical ImagingRenal cell carcinoma treatmentAdvanced X-ray and CT Imaging0301 basic medicine03 medical and health sciences0302 clinical medicine

Keywords

MedicineRenal cell carcinomaInfiltration (HVAC)RadiomicsPathologyImmunohistochemistryCD8PD-L1OncologyRadiologyCancer researchInternal medicineImmunotherapyCancerImmune systemImmunologykidney neoplasms/pathologyImage processing, computer-assistedImaging, Three-dimensionalCd8-Positive T-Lymphocytes/ImmunologyProgrammed Cell Death 1 Receptor/ImmunologyMedical physics. Medical radiology. Nuclear medicineR895-920Article

Sustainable Development Goals

SDG 0: Reduced inequalities