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Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging

EBioMedicine(2020)10.1016/j.ebiom.2020.102963Source: DataRank Database

Optimal co-clinical radiomics: Sensitivity of radiomic features to tumour volume, image noise and resolution in co-clinical T1-weighted and T2-weighted magnetic resonance imaging is a research paper published in EBioMedicine (2020). On theSindex it has a DataRank of 0. It has been cited 114 times.

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Open Access114 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (9 grants)OA: goldTopics (37)IDs (PubMed, PMC)Annotations (2)SDGs (1)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Timothy Whitehead,James D. Quirk ORCID,Amber Salter ORCID,Foluso O. Ademuyiwa ORCID,Shunqiang Li ORCID

Live enrichment

PubMed:32891051 PMC:PMC7479492

NCI NIH HHS

Grant: U24 CA209837

NCI NIH HHS

Grant: U54 CA224083

NCI NIH HHS

Grant: U2C CA233303

NCI NIH HHS

Grant: P30 CA091842

NIH HHS

Grant: S10 OD018515

National Institutes of Health

Grant: 3U54CA224083-04S1

Washington University PDX Development and Trial Center - Evaluation of Abemaciclib in Combination with Olaparib in Ovarian Cancer and Breast Cancer Patient-derived Xenograft Models

National Institutes of Health

Grant: 5U24CA209837-02

WASHINGTON UNIVERSITY CO-CLINICAL IMAGING RESEARCH RESOURCE

National Institutes of Health

Grant: 5P30CA091842-05

Core--Pharmacology Facility

National Institutes of Health

Grant: 5U2CCA233303-03

Washington University Human Tumor Atlas Research Center

goldLicense: cc-by-nc-nd

publisherhttps://doi.org/10.1016/j.ebiom.2020.102963

publisherhttps://api.elsevier.com/content/article/PII:S235239642030339X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S235239642030339X?httpAccept=text/plain

repositoryhttps://digitalcommons.wustl.edu/cgi/viewcontent.cgi?article=10569&context=open_access_pubs

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7479492

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansNeoplasmsMagnetic Resonance ImagingTumor BurdenSensitivity and SpecificityReproducibility of ResultsImage Processing, Computer-AssistedFemaleNeoplasm GradingSignal-To-Noise RatioTriple Negative Breast Neoplasms

Keywords

SensitivityBreast cancerMRIQuantitative ImagingTnbcCo-clinicalRadiomicsMedicine (General)610Triple Negative Breast NeoplasmsSignal-To-Noise RatioSensitivity and SpecificityR5-920NeoplasmsImage Processing, Computer-AssistedHumansRReproducibility of ResultsMagnetic Resonance ImagingTumor BurdenMedicineFemaleNeoplasm GradingResearch Paper

Sustainable Development Goals

SDG 3: 3. Good health