Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Validation of Clinical Dynamic Contrast-Enhanced Magnetic Resonance Imaging Perfusion Modeling and Neoadjuvant Chemotherapy Response Prediction in Breast Cancer Using 18 FDG and 64 Cu-DOTA-Trastuzumab Positron Emission Tomography Studies

JCO Clinical Cancer Informatics(2025)10.1200/cci.23.00248Source: DataRank Database

Validation of Clinical Dynamic Contrast-Enhanced Magnetic Resonance Imaging Perfusion Modeling and Neoadjuvant Chemotherapy Response Prediction in Breast Cancer Using 18 FDG and 64 Cu-DOTA-Trastuzumab Positron Emission Tomography Studies is a research paper published in JCO Clinical Cancer Informatics (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

Download PDF

Cite:

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 (3 grants)Impact (FWCI 0.69)OA: greenTopics (50)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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (8)

Vikram Adhikarla ORCID,Lusine Tumyan,Joanne Mortimer ORCID,Wei Huang ORCID,Russell C. Rockne ORCID

Live enrichment

PubMed:39808751 PMC:PMC11902905 OpenAlex:https://openalex.org/W4406351942

NCI NIH HHS

Grant: P30 CA033572

NCI NIH HHS

Grant: R01 CA248192

NCI NIH HHS

Grant: U01 CA154602

FWCI

0.69

Citation Percentile

0.6%

Citation Trend

2026

green

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11902905/pdf/nihms-2036747.pdf

publisherhttps://ascopubs.org/doi/pdfdirect/10.1200/CCI.23.00248

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11902905/

journalhttps://doi.org/10.1200/cci.23.00248

Fields of Study

MRI in cancer diagnosisRadiomics and Machine Learning in Medical ImagingBreast Cancer Treatment StudiesHumansFemaleBreast NeoplasmsMagnetic Resonance ImagingNeoadjuvant TherapyPositron-Emission TomographyTrastuzumabContrast MediaFluorodeoxyglucose F18Middle AgedOrganometallic CompoundsAdultAgedRadiopharmaceuticals

MeSH Terms

TrastuzumabAdultAgedBreast NeoplasmsContrast MediaFemaleHumansMagnetic Resonance ImagingMiddle AgedOrganometallic CompoundsPrognosisTreatment OutcomeRadiopharmaceuticalsFluorodeoxyglucose F18Neoadjuvant TherapyPositron-Emission Tomography

Keywords

Magnetic resonance imagingPositron emission tomographyTrastuzumabMedicineBreast cancerDynamic contrastNuclear medicinePositron emissionPositronPerfusionChemotherapyNuclear magnetic resonanceCancerRadiologyInternal medicinePhysicsNuclear physics

Sustainable Development Goals

SDG 0: Good health and well-being