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Interpretable survival network for progression risk analysis of multimodality imaging biomarkers in poor-prognosis head and neck cancers

Scientific Reports(2024)10.1038/s41598-024-80815-2Source: DataRank Database

Interpretable survival network for progression risk analysis of multimodality imaging biomarkers in poor-prognosis head and neck cancers is a research paper published in Scientific Reports (2024). On theSindex it has a DataRank of 0. It has been cited 5 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 1.55)OA: goldTopics (54)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (6)

Madhava Aryal ORCID,Choonik Lee ORCID,Jennifer Shah ORCID,Michelle Mierzwa ORCID,Yue Cao ORCID

Live enrichment

PubMed:39622922 PMC:PMC11612283 OpenAlex:https://openalex.org/W4404908893

NIH/NCI

Grant: RO1CA184153

NCI NIH HHS

Grant: U01 CA183848

NCI NIH HHS

Grant: R01 CA184153

National Institutes of Health

Grant: 5U01CA183848-05

Quantitative MRI models of HN Cancers for Physiological Adaption of RT

National Institutes of Health

Grant: 5R01CA184153-02

Functional imaging-directed adaptive therapy of head and neck cancer

FWCI

1.55

Citation Percentile

0.8%

Citation Trend

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://www.nature.com/articles/s41598-024-80815-2.pdf

publisherhttps://www.nature.com/articles/s41598-024-80815-2.pdf

publisherhttps://www.nature.com/articles/s41598-024-80815-2

journalhttps://doi.org/10.1038/s41598-024-80815-2

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39622922

Fields of Study

Radiomics and Machine Learning in Medical ImagingHead and Neck Cancer StudiesLung Cancer Diagnosis and Treatment03 medical and health sciences0302 clinical medicine

MeSH Terms

Machine LearningSquamous Cell Carcinoma of Head and NeckAdultAgedFemaleHead and Neck NeoplasmsHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisBiomarkers, TumorDisease ProgressionRisk AssessmentCyclin-Dependent Kinase Inhibitor p16Tumor BurdenPositron-Emission TomographyMultimodal Imaging

Keywords

MedicineHead and neck squamous-cell carcinomaOncologyRadiation therapyHead and neck cancerInternal medicineInterpretable Machine LearningHncsFunctional Imaging BiomarkerMaleAdultScienceMultimodal ImagingRisk AssessmentArticleMachine LearningBiomarkers, TumorHumansCyclin-Dependent Kinase Inhibitor p16AgedSquamous Cell Carcinoma of Head and NeckQRMiddle AgedPrognosisMagnetic Resonance ImagingTumor BurdenHead and Neck NeoplasmsPositron-Emission TomographyDisease ProgressionFemale

Sustainable Development Goals

SDG 0: No poverty