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Deep Learning Model of Primary Tumor and Metastatic Cervical Lymph Nodes From CT for Outcome Predictions in Oropharyngeal Cancer

JAMA Network Open(2025)10.1001/jamanetworkopen.2025.8094Source: DataRank Database

Deep Learning Model of Primary Tumor and Metastatic Cervical Lymph Nodes From CT for Outcome Predictions in Oropharyngeal Cancer is a research paper published in JAMA Network Open (2025). On theSindex it has a DataRank of 0. It has been cited 12 times.

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Open Access12 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (11 grants)Impact (FWCI 10.31)OA: goldTopics (46)IDs (PubMed, OpenAlex)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

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Authors (15)

Amaury Leroy ORCID,Kailin Yang ORCID,Sirvan Khalighi ORCID,Krunal Pandav ORCID,Tanmoy Dam ORCID

Live enrichment

PubMed:40310642 OpenAlex:https://openalex.org/W4409994704

National Institutes of Health

Grant: 1R43EB028736-01

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Grant: 5R01CA220581-05

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Grant: 5R01CA202752-05

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National Institutes of Health

Grant: 5R01CA208236-02

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National Institutes of Health

Grant: 5R01CA216579-03

Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung Cancers

National Institutes of Health

Grant: 1U01CA248226-01

RadxTools for assessing tumor treatment response on imaging

National Institutes of Health

Grant: 1R01CA257612-01A1

Novel Radiomics for Predicting Response to Immunotherapy for Lung Cancer

National Institutes of Health

Grant: 1U01CA239055-01

HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identification

National Institutes of Health

Grant: 1U54CA254566-01

Lung cancer in East Africa and the relationship to HIV-1 infection: epidemiology, molecular characterization and imaging

National Institutes of Health

Grant: 5U01CA269181-03

An AI-enabled Digital Pathology Platform for Multi-Cancer Diagnosis, Prognosis and Prediction of Therapeutic Benefit

National Institutes of Health

Grant: 1R01CA249992-01A1

Oral Cavity Quantitative Histomorphometric Risk Classifier (OHbIC) in Oral Cavity Squamous Cell Carcinoma (OC-SCC)

FWCI

10.31

Citation Percentile

1.0%

Citation Trend

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://jamanetwork.com/journals/jamanetworkopen/articlepdf/2833354/song_2025_oi_250299_1745349640.65412.pdf

publisherhttps://jamanetwork.com/journals/jamanetworkopen/articlepdf/2833354/song_2025_oi_250299_1745349640.65412.pdf

journalhttps://doi.org/10.1001/jamanetworkopen.2025.8094

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40310642

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12046429

Fields of Study

Head and Neck Cancer StudiesEsophageal Cancer Research and TreatmentRadiomics and Machine Learning in Medical Imaging03 medical and health sciences0302 clinical medicine

MeSH Terms

Deep LearningAgedFemaleHumansLymph NodesLymphatic MetastasisMaleMiddle AgedNeckOropharyngeal NeoplasmsPrognosisRetrospective StudiesTomography, X-Ray ComputedChemoradiotherapy

Keywords

Cervical lymph nodesMedicineOutcome (game theory)Primary tumorLymphCervical cancerOncologyCancerRadiologyInternal medicineMetastasisPathologyMaleChemoradiotherapyMiddle AgedPrognosisOropharyngeal NeoplasmsDeep LearningLymphatic MetastasisHumansFemaleLymph NodesTomography, X-Ray ComputedNeckOriginal InvestigationRetrospective StudiesAged